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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 29 Dec 2010 16:12:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t12936390219xrgu6bdq3xllfg.htm/, Retrieved Fri, 29 Mar 2024 00:40:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116946, Retrieved Fri, 29 Mar 2024 00:40:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-11-17 09:20:01] [b98453cac15ba1066b407e146608df68]
-   PD  [Multiple Regression] [traders and order...] [2010-12-02 15:04:44] [75b8170d590d2aca2c97c1862bb2167f]
-   PD    [Multiple Regression] [] [2010-12-03 12:40:48] [916599f00c9c716123aa8433d9efa14f]
-   PD      [Multiple Regression] [] [2010-12-18 14:34:57] [75b8170d590d2aca2c97c1862bb2167f]
-             [Multiple Regression] [Multiple Regressi...] [2010-12-28 08:08:02] [75b8170d590d2aca2c97c1862bb2167f]
-                 [Multiple Regression] [Multiple Regressi...] [2010-12-29 16:12:31] [9b9a58c480cb5dafe4bfceb51e1cfd12] [Current]
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Dataseries X:
1	1595	17	60720	319369	0
0	5565	47	94355	493408	39
0	601	6	60720	319210	0
1	188	11	77655	381180	0
1	7146	105	134028	297978	305
0	1135	17	62285	290476	-9
1	450	8	59325	292136	-1
1	34	8	60630	314353	0
1	133	14	65990	339445	0
1	119	6	59118	303677	0
0	2053	53	100423	397144	33
0	4036	63	100269	424898	32
1	0	0	60720	315380	0
1	4655	393	60720	341570	0
1	131	11	61808	308989	0
1	1766	73	60438	305959	0
1	312	14	58598	318690	0
1	448	40	59781	323361	0
1	115	13	60945	318903	0
1	60	10	61124	314049	0
1	0	0	60720	315380	0
1	364	35	47705	298466	0
1	0	0	60720	315380	0
0	1442	118	121173	438493	-3
0	1389	9	57530	378049	6
1	149	5	62041	313332	0
1	2212	14	60720	319864	0
0	7489	322	136996	430866	70
1	0	0	60720	315380	0
1	402	26	84990	332743	5
0	7419	29	63255	286963	-5
1	0	0	60720	315380	0
1	307	15	58856	331955	0
0	1134	162	146216	527021	58
0	7561	87	82425	364304	37
1	5131	71	86111	292154	9
1	9	6	60835	314987	0
1	2264	24	55174	272713	-31
1	40949	481	129352	1398893	2865
0	4980	91	113521	409642	0
1	272	8	112995	429112	14
1	757	19	45689	382712	0
1	1424	94	131116	374943	32
1	0	0	60720	315380	0
0	378	52	71873	297413	0
1	1061	5	70415	304252	-4
1	0	0	60720	315380	0
1	203	9	61938	309596	0
0	3689	25	101792	377305	74
1	567	11	103345	386212	20
0	27664	282	74996	657954	247
1	1686	40	68696	368186	11
0	1164	17	57320	269753	-6
1	15824	64	63838	585715	284
1	6575	159	151352	1071292	819
0	37597	248	37884	992426	652
1	314	5	60720	315371	0
0	1932	36	72954	249898	10
0	5692	72	64239	357312	22
1	0	0	60720	315380	0
1	0	0	60720	315380	0
0	6533	75	126910	364839	16
0	2126	138	21001	230621	-3
1	14	1	61016	315877	0
0	3192	60	59831	125390	10
1	47	3	60720	314882	0
0	4891	217	210568	370837	73
0	531	10	71641	330068	0
1	2332	4	72680	324385	0
1	0	0	60720	315380	0
0	16275	109	47818	1443586	1974
1	9252	48	79510	253537	-129
0	29790	309	81767	4321023	28328
1	0	0	60720	315380	0
0	2300	29	64873	352108	0
1	267	32	57640	330059	0
0	382	21	59365	340968	0
1	397	28	60646	317736	0
1	11920	182	31080	209458	238
0	54660	302	126942	1491348	3040
1	5	2	60720	314887	0
1	0	0	60720	315380	0
1	0	0	60720	315380	0
0	2647	37	62920	353058	1
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	94	7	60793	314533	0
1	3	2	60698	315354	0
1	454	51	63261	302187	0
1	227	9	76644	336639	0
0	0	0	60720	315380	0
1	206	9	53110	296702	0
1	25830	115	245546	1073089	1910
1	1528	38	60326	146494	38
1	271	2	60720	325249	0
1	138	6	69817	331420	0
1	0	0	60720	315380	0
1	278	26	61404	314922	0
1	282	30	62452	320016	0
1	571	80	41477	280398	0
1	2253	99	63593	452469	17
1	290	2	58790	301164	0
1	78	16	62700	317330	0
1	20	2	60805	315576	0
1	0	0	60720	315380	0
1	18073	180	27284	-7170	-366
1	1866	29	56225	322331	0
0	42634	156	157214	1629616	2964
1	249	62	54323	292754	0
1	422	28	57935	318056	0
1	2675	79	59017	355178	36
1	965	3	73490	204325	-8
1	0	0	60720	315380	0
1	621	16	68005	317046	-5
0	0	0	60720	315380	0
1	365	8	54820	309560	0
0	3122	34	94670	414462	38
0	12988	119	82340	857217	601
0	5336	81	112477	697458	132
0	3160	108	108094	530670	66
1	2489	40	67804	238125	0
1	0	0	60720	315380	0
0	6984	45	80570	741409	195
1	2001	52	95551	393343	19
1	15236	90	77440	372631	-158
0	0	0	60720	315380	0
1	530	60	73433	317291	0
1	0	0	60720	315380	0
1	35624	223	157278	306275	-70
0	1383	11	73221	317892	13
1	875	14	67000	334280	3
0	0	0	60720	315380	0
0	0	0	60720	315380	0
0	0	0	60720	315380	0
1	72	3	60398	314210	0
0	265	31	60720	306948	
1	0	0	60720	315380	0
1	335	33	64175	320398	0
0	0	0	60720	315380	0
1	0	0	60720	315380	0
1	4525	226	93811	501749	101
0	3045	58	27330	202055	31
1	0	0	60720	315380	0
1	0	0	60720	315380	0
0	638	14	60370	333210	0
0	0	0	60720	315380	0
1	607	11	60436	322340	0
1	1558	63	55637	369448	0
0	1324	117	67440	291841	0
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	611	8	59190	296919	-4
1	0	0	60720	315380	0
1	923	8	58620	309038	0
1	661	3	65920	246541	-12
0	2397	14	74020	289513	6
1	366	53	61808	344425	0
1	0	0	60720	315380	0
1	135	2	62065	314210	0
0	1659	29	107577	480382	2
1	316	9	60505	315009	0
1	0	0	60720	315380	0
1	309	11	56535	312878	0
0	49	8	64107	322031	0
1	0	0	60720	315380	0
0	4519	49	102129	597793	163
1	0	0	60720	315380	0
1	837	69	61262	315688	4
1	5119	49	39039	378525	31
1	1280	117	69465	312378	26
1	2564	22	130140	403560	13
0	2045	20	97890	510834	10
0	2234	16	77200	214215	5
1	975	23	90534	235133	13
0	1136	32	48522	343613	0
1	453	21	81125	365959	0
1	0	0	60720	315380	0
1	61	14	60720	314551	0
1	368	17	61686	303230	0
0	0	0	60720	315380	0
1	4901	84	121920	469107	67
1	540	14	103960	354228	22
1	0	0	60720	315380	0
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	2	9	60735	315394	0
1	36	4	61564	312412	0
1	776	9	64230	333505	-4
1	84738	588	-26007	223193	4145
1	0	0	60720	315380	0
1	3	4	60761	315656	0
1	529	9	63870	296261	-3
1	0	0	60720	315380	0
1	405	7	60845	336425	0
1	972	34	71642	359335	0
1	0	0	60720	315380	0
1	2099	64	106611	308636	20
0	3437	47	48022	158492	9
0	0	0	60720	315380	0
1	0	0	60720	315380	0
0	22330	84	79801	711969	446
0	0	0	60720	315380	0
0	0	0	60720	315380	0
1	483	27	60830	306268	0
1	0	0	60720	315380	0
1	2239	21	88590	442882	5
0	2949	41	82903	378509	18
1	0	0	60720	315380	0
1	365	83	87192	346611	0
1	2461	57	55792	314289	0
0	21950	519	114337	856956	745
0	3294	23	75832	217193	1
1	141	6	61630	315366	0
1	572	16	58580	307930	-1
1	13326	102	165548	702380	436
1	2284	33	76403	194493	66
0	10	2	61656	316155	0
1	0	0	60720	315380	0
0	1414	198	70184	330546	13
1	1975	35	118881	394510	30
1	43	3	60887	312846	0
1	0	0	60720	315380	0
1	844	78	60925	296139	0
1	304	15	62969	295580	0
1	458	11	58625	297765	0
1	18562	155	102313	377934	143
1	0	0	60720	315380	0
1	7123	109	288170	638830	769
1	622	73	73007	304376	0
1	174	1	64820	307424	0
1	2220	22	301670	644190	154
1	121	24	56178	295370	0
0	11819	85	106113	574339	199
1	0	0	60720	315380	0
1	125	12	60798	310201	0
1	1182	13	70694	327007	-5
1	1503	39	56364	343466	6
1	0	0	60720	315380	0
1	0	0	60720	315380	0
1	30	4	62045	318098	0
0	3310	33	75230	448243	-6
1	554	11	79285	325738	30
0	0	0	60720	315380	0
1	468	21	60720	312161	0
1	4917	42	52811	243650	-3
1	3256	66	35250	407159	-8
1	0	0	60720	315380	0
1	125	13	59734	317698	0
1	0	0	60720	315380	0
1	22	2	60722	312502	0
0	0	0	60720	315380	0
1	514	52	78780	322378	0
0	0	0	60720	315380	0
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	0	0	60720	315380	0
1	0	0	60720	315380	0
1	0	0	60720	315380	0
1	10327	91	88577	640273	135
1	13718	61	96448	345783	104
1	3748	9	50350	652925	53
1	14416	361	49857	439798	220
0	1526	25	69351	278990	-4
0	666	171	117869	339836	25
1	2844	67	72683	240897	-15
1	0	0	60720	315380	0
1	368	17	61167	297141	0
1	0	0	60720	315380	0
1	333	13	70811	331323	0
1	26	1	60896	313880	0
1	0	0	60720	315380	0
1	0	0	60720	315380	0
1	1303	61	69863	309422	-5
1	20	3	60938	315245	0
1	2384	97	61348	405972	54
0	203	27	50804	300962	0
0	71	1	60745	316176	0
1	53	14	59506	302409	0
1	562	13	58456	283587	-3
1	622	7	60950	263276	-2
1	645	5	60720	312075	0
0	1763	24	61600	308336	0
1	0	0	60720	315380	0
1	317	9	63915	298700	0
1	1	6	60719	315372	0
1	275	4	59500	318745	0
1	0	0	60720	315380	0
1	936	30	67939	408881	9
1	8568	37	32168	786690	223
0	11528	70	-14545	-83265	-25
0	0	0	60720	315380	0
1	738	10	60720	321376	0
1	0	0	60720	315380	0
1	592	7	64270	276898	-4
1	126	10	60951	315547	0
1	2	1	60743	315487	0
1	0	0	60720	315380	0
0	18014	239	-1710	1405225	943
0	0	0	60720	315380	0
0	0	0	60720	315380	0
0	37704	452	60448	983660	2167
0	63	4	65688	318574	0
1	1431	34	106885	310768	30
1	94	3	61360	312887	0
1	192	4	65276	312339	0
1	32	1	59988	314964	0
1	6869	105	117520	379983	90
1	0	0	60720	315380	0
1	0	0	60720	315380	0
1	1	4	60722	315398	0
0	0	0	60720	315380	0
1	2328	94	82732	253588	0
0	209	13	64016	316647	0
1	28	2	60890	315688	0
1	176	28	68136	310670	0
1	1920	15	79420	165404	-6
0	87550	458	153198	4111912	17936
1	520	10	58650	291650	0
0	0	0	60720	315380	0
1	1013	2	69770	253468	-14
1	15	8	60831	315688	0
1	587	12	59595	325699	0
1	5371	66	87720	446211	49
1	0	0	60720	315380	0
1	1012	47	114768	368078	26
1	0	0	60720	315380	0
1	876	59	138971	352850	24
0	162556	1081	213118	6282154	56289
1	43556	247	32648	227132	929
0	3425	12	83620	283910	-3
1	810	43	74015	236761	26
1	0	0	60720	315380	0
0	0	0	60720	315380	0
0	2365	79	191778	550608	120
0	1261	33	76114	307528	13
1	0	0	60720	315380	0
1	1585	107	93099	355864	2
1	16189	295	116384	358589	379
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	10579	92	110309	375195	4
1	474	20	61977	288985	0
1	0	0	60720	315380	0
1	3642	86	90262	458343	22
1	0	0	60720	315380	0
0	472	20	80045	269587	0
1	98	2	61490	315236	0
1	3999	30	51252	42754	-58
1	0	0	60720	315380	0
1	621	48	60720	308256	0
1	0	0	60720	315380	0
1	0	0	60720	315380	0
0	30	4	60798	313164	0
1	0	0	60720	315380	0
1	746	23	71561	269661	10
0	0	0	60720	315380	0
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	0	0	60720	315380	0
0	4150	150	134759	518365	66
0	4658	158	156608	233773	58
1	814	18	39625	301881	23
1	1002	15	56750	298568	0
0	496	17	87390	325479	0
1	389	14	58990	325506	0
1	12679	110	48020	984885	1871
1	400	152	60720	313267	0
1	53	6	60349	315793	0
1	0	0	60720	315380	0
0	5109	97	67038	215362	-31
1	576	18	113761	314073	12
1	438	11	58320	298096	-5
1	165	24	62841	325176	0
1	4069	145	79804	207393	119
0	23	5	62555	314806	0
1	1285	107	99489	341340	49
0	4677	75	90131	426280	24
0	24811	505	95350	929118	822
1	167	2	64245	307322	0
1	0	0	60720	315380	0
1	4628	62	69159	387475	85
1	226	5	65745	291787	0
0	1765	20	77623	247060	28
1	460	15	63346	329784	0
1	36	3	60894	315834	0
1	989	11	58930	304555	-5
0	3055	43	60247	376641	14
0	0	0	60720	315380	0
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	0	0	60720	315380	0
1	0	0	60720	315380	0
1	13253	947	90829	357760	35
1	24	8	59818	315637	0
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	0	0	60720	315380	0
1	0	0	60720	315380	0
1	131	6	59661	327071	0
1	514	15	102725	377516	23
1	3366	80	108479	299243	12
0	9327	101	87419	387699	44
1	384	22	54683	309836	0
1	17821	373	122844	444477	643
1	397	10	62710	322327	-1
1	897	5	60720	314913	0
1	218	21	60720	315553	0
0	3369	28	87161	688779	217
1	5702	61	101481	321896	10
1	8636	855	128294	301607	108
1	534	7	62620	304485	0
1	0	0	60720	315380	0
0	0	0	60720	315380	0
1	726	3	69980	231861	-5
1	1380	26	60982	347385	25
1	180	11	59635	316386	0
0	7285	115	188873	491303	59
1	880	74	80791	261216	34
1	1	2	60727	315388	0
1	0	0	60720	315380	0
1	96	5	60379	313729	0
1	1889	45	37527	358649	14
0	45187	353	234817	1926517	2854
1	288	4	60510	296656	0
1	1270	26	69206	275311	-10
1	6526	26	55830	-42143	-28
0	0	0	60720	315380	0
1	226	12	72835	343929	0
1	694	8	68060	367655	-2
1	0	0	60720	315380	0
1	249	72	56726	313491	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 seconds
R Server'Gwilym Jenkins' @ www.wessa.org
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 17 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=116946&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]17 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=116946&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116946&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 seconds
R Server'Gwilym Jenkins' @ www.wessa.org
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Multiple Linear Regression - Estimated Regression Equation
CCScore [t] = -1185.20288918891 -0.0105000325080608Group[t] -0.0623548705399725Costs[t] + 0.0137169751262616Trades[t] + 0.000120200175148378Dividends[t] + 0.00522686689741259Wealth[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CCScore
[t] =  -1185.20288918891 -0.0105000325080608Group[t] -0.0623548705399725Costs[t] +  0.0137169751262616Trades[t] +  0.000120200175148378Dividends[t] +  0.00522686689741259Wealth[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116946&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CCScore
[t] =  -1185.20288918891 -0.0105000325080608Group[t] -0.0623548705399725Costs[t] +  0.0137169751262616Trades[t] +  0.000120200175148378Dividends[t] +  0.00522686689741259Wealth[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116946&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116946&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
CCScore [t] = -1185.20288918891 -0.0105000325080608Group[t] -0.0623548705399725Costs[t] + 0.0137169751262616Trades[t] + 0.000120200175148378Dividends[t] + 0.00522686689741259Wealth[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-1185.2028891889170.356911-16.845600
Group-0.01050003250806080.00636-1.6510.0994730.049736
Costs-0.06235487053997250.008697-7.169700
Trades0.01371697512626160.00113112.127800
Dividends0.0001202001751483780.0001970.61130.5413150.270658
Wealth0.005226866897412590.00017529.7900

\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) & -1185.20288918891 & 70.356911 & -16.8456 & 0 & 0 \tabularnewline
Group & -0.0105000325080608 & 0.00636 & -1.651 & 0.099473 & 0.049736 \tabularnewline
Costs & -0.0623548705399725 & 0.008697 & -7.1697 & 0 & 0 \tabularnewline
Trades & 0.0137169751262616 & 0.001131 & 12.1278 & 0 & 0 \tabularnewline
Dividends & 0.000120200175148378 & 0.000197 & 0.6113 & 0.541315 & 0.270658 \tabularnewline
Wealth & 0.00522686689741259 & 0.000175 & 29.79 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116946&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]-1185.20288918891[/C][C]70.356911[/C][C]-16.8456[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Group[/C][C]-0.0105000325080608[/C][C]0.00636[/C][C]-1.651[/C][C]0.099473[/C][C]0.049736[/C][/ROW]
[ROW][C]Costs[/C][C]-0.0623548705399725[/C][C]0.008697[/C][C]-7.1697[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Trades[/C][C]0.0137169751262616[/C][C]0.001131[/C][C]12.1278[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Dividends[/C][C]0.000120200175148378[/C][C]0.000197[/C][C]0.6113[/C][C]0.541315[/C][C]0.270658[/C][/ROW]
[ROW][C]Wealth[/C][C]0.00522686689741259[/C][C]0.000175[/C][C]29.79[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116946&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116946&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-1185.2028891889170.356911-16.845600
Group-0.01050003250806080.00636-1.6510.0994730.049736
Costs-0.06235487053997250.008697-7.169700
Trades0.01371697512626160.00113112.127800
Dividends0.0001202001751483780.0001970.61130.5413150.270658
Wealth0.005226866897412590.00017529.7900







Multiple Linear Regression - Regression Statistics
Multiple R0.85380709757116
R-squared0.728986559862887
Adjusted R-squared0.72579816644951
F-TEST (value)228.637581800358
F-TEST (DF numerator)5
F-TEST (DF denominator)425
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation729.098755548039
Sum Squared Residuals225923623.020222

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.85380709757116 \tabularnewline
R-squared & 0.728986559862887 \tabularnewline
Adjusted R-squared & 0.72579816644951 \tabularnewline
F-TEST (value) & 228.637581800358 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 425 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 729.098755548039 \tabularnewline
Sum Squared Residuals & 225923623.020222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116946&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.85380709757116[/C][/ROW]
[ROW][C]R-squared[/C][C]0.728986559862887[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.72579816644951[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]228.637581800358[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]425[/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]729.098755548039[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]225923623.020222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116946&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116946&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.85380709757116
R-squared0.728986559862887
Adjusted R-squared0.72579816644951
F-TEST (value)228.637581800358
F-TEST (DF numerator)5
F-TEST (DF denominator)425
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation729.098755548039
Sum Squared Residuals225923623.020222







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
10392.161589639236-392.161589639236
2391058.75638373172-1019.75638373172
30453.170872425406-453.170872425406
40804.92605040037-804.92605040037
5305-55.7594782798167360.759478279817
6-9270.023578127394-279.023578127394
7-1320.923518169805-321.923518169805
80463.145307402818-463.145307402818
90588.851294198791-588.851294198791
100401.833935795067-401.833935795067
1133775.399250569168-742.399250569168
1232796.93466508348-764.93466508348
130470.534447519573-470.534447519573
140322.554940423854-322.554940423854
150429.242717654423-429.242717654423
160312.140875840281-312.140875840281
170468.31763022164-468.31763022164
180484.750901266501-484.750901266501
190481.983255203111-481.983255203111
200460.021926068741-460.021926068741
210470.534447519573-470.534447519573
220358.345736790049-358.345736790049
230470.534447519573-470.534447519573
24-31033.00955282774-1036.00955282774
256711.236568183422-705.236568183422
260450.766317710219-450.766317710219
270356.234782704918-356.234782704918
2870620.784527143087-550.784527143087
290470.534447519573-470.534447519573
305539.495779106413-534.495779106413
31-5-139.895213885092134.895213885092
320470.534447519573-470.534447519573
330538.008522588833-538.008522588833
34581518.55264553999-1460.55264553999
3537258.601329125937-221.601329125937
36933.2183041008218-24.2183041008218
370468.01521986493-468.01521986493
38-31106.010867936827-137.010867936827
3928653595.39052985095-730.390529850948
400660.30755393142-660.30755393142
41141054.42914866612-1040.42914866612
420773.721106152143-773.721106152143
4332702.819992072852-670.819992072852
440470.534447519573-470.534447519573
450355.117564202154-355.117564202154
46-4347.445280615949-351.445280615949
470470.534447519573-470.534447519573
480427.914067254791-427.914067254791
4974569.471348724246-495.471348724246
5020810.683091193027-790.683091193027
51247541.73267413451-294.73267413451
5211642.921464775982-631.921464775982
53-6159.302130296949-165.302130296949
54284898.088709361266-614.088709361266
558194024.67756519533-3205.67756519533
566521665.67512391794-1013.67512391794
570450.976561243576-450.976561243576
58109.773979539790880.226020460209117
5922336.204613806296-314.204613806296
600470.534447519573-470.534447519573
610470.534447519573-470.534447519573
6216330.681010921106-314.681010921106
63-3-107.926806762992104.926806762992
640472.308528406998-472.308528406998
6510-720.828080499067730.828080499067
660465.041939814662-465.041939814662
6773476.421972718915-403.421972718915
680515.65660814861-515.65660814861
690373.683287826835-373.683287826835
700470.534447519573-470.534447519573
7119745352.6463520053-3378.6463520053
72-129-426.70096815585297.70096815585
732832819556.72455211928771.27544788082
740470.534447519573-470.534447519573
750519.998096324366-519.998096324366
760530.679602937103-530.679602937103
770580.595642417131-580.595642417131
780458.469242816082-458.469242816082
79238-827.4420485430661065.44204854307
8030403220.95835794046-180.958357940457
810467.673261736701-467.673261736701
820470.534447519573-470.534447519573
830470.534447519573-470.534447519573
841503.201464658482-502.201464658482
850470.534447519573-470.534447519573
860470.544947552081-470.544947552081
870460.350726865377-460.350726865377
880470.23627391502-470.23627391502
890374.272275693352-374.272275693352
900569.535375644293-569.535375644293
910470.544947552081-470.544947552081
920359.270653721723-359.270653721723
9319102844.14580115517-934.145801155167
9438-507.014551316143545.014551316143
950505.247660964058-505.247660964058
960546.944183263638-546.944183263638
970470.534447519573-470.534447519573
980451.24474674353-451.24474674353
990477.80182492085-477.80182492085
1000250.867904675681-250.867904675681
101171048.29819593311-1031.29819593311
1020377.941842861579-377.941842861579
1030476.320626016224-476.320626016224
1040470.349466985807-470.349466985807
1050470.534447519573-470.534447519573
106-366-2343.881003043341977.88100304334
1070390.369703387268-390.369703387268
10829644695.18248455928-1731.18248455928
1090336.826526271666-336.826526271666
1100458.257105784928-458.257105784928
11136512.632957745068-476.632957745068
112-8-168.531598681635160.531598681635
1130470.534447519573-470.534447519573
114-5441.615163043315-446.615163043315
1150470.544947552081-470.544947552081
1160416.755109197176-416.755109197176
11738798.3086407563-760.308640756301
1186012497.020815899-1896.020815899
1191322142.22248423078-2010.22248423078
120661405.97152740084-1339.97152740084
1210-87.0682503682387.06825036823
1220470.534447519573-470.534447519573
1231952264.85864649608-2069.85864649608
12419758.164550499225-739.164550499225
125-158-177.01672859384719.0167285938472
1260470.544947552081-470.544947552081
1270449.82603210858-449.82603210858
1280470.534447519573-470.534447519573
129-70-1783.720909732251713.72090973225
13013399.091560357517-386.091560357517
1313515.708614909894-512.708614909894
1320470.544947552081-470.544947552081
1330470.544947552081-470.544947552081
1340470.544947552081-470.544947552081
1350459.931909039703-459.931909039703
1361410.373191408919-409.373191408919
1371-314.399428284019315.399428284019
1380-271.97933636191271.97933636191
1391-314.399428284019315.399428284019
1401-314.399428284019315.399428284019
1410100.833647776961-100.833647776961
1421-821.458061203126822.458061203126
1431-314.399428284019315.399428284019
1440-314.399428284019314.399428284019
1450-324.629189383017324.629189383017
1461-314.399428284019315.399428284019
1471-324.517879309177325.517879309177
1480-397.911237272461397.911237272461
1491-246.248310252208247.248310252208
1500-314.399428284019314.399428284019
1511-314.399428284019315.399428284019
1521-344.540681954948345.540681954948
1531-314.399428284019315.399428284019
1541-354.157754529219355.157754529219
1550-258.535925986715258.535925986715
1561-161.083061943299162.083061943299
1571-303.13196529603304.13196529603
1581-314.399428284019315.399428284019
1590-297.632945073789297.632945073789
1601328.952753064315-327.952753064315
1611-321.272376308552322.272376308552
1621-314.399428284019315.399428284019
1630-376.036123646575376.036123646575
1641-268.153922723674269.153922723674
1650-314.399428284019314.399428284019
1661237.899830527419-236.899830527419
1671-314.399428284019315.399428284019
1681-319.997911920555320.997911920555
1691-660.850148128153661.850148128153
1701-215.404984654819216.404984654819
1710620.206295192763-620.206295192763
1720196.286746971766-196.286746971766
1731-124.932345139274125.932345139274
174073.3090202270996-73.3090202270996
1751-492.248872115629493.248872115629
1761-34.490913181312535.4909131813125
1771-314.399428284019315.399428284019
1781-316.012544399768317.012544399768
1790-307.533307202249307.533307202249
1801-314.399428284019315.399428284019
1811487.209193402988-486.209193402988
1821276.964117909527-275.964117909527
1831-314.399428284019315.399428284019
1840-314.399428284019314.399428284019
1851-314.399428284019315.399428284019
1861-314.774184754549315.774184754549
1871-303.806476049745304.806476049745
1881-272.804343944981273.804343944981
1891-2419.863478861482420.86347886148
1901-314.399428284019315.399428284019
1911-314.084776635185315.084776635185
1921-279.620455417273280.620455417273
1931-314.399428284019315.399428284019
1941-314.844190966783315.844190966783
1951-171.625324452537172.625324452537
1961-314.399428284019315.399428284019
1970288.349904643021-288.349904643021
1980-546.407792359473546.407792359473
1991-314.399428284019315.399428284019
2000-314.399428284019314.399428284019
2010-242.368111032007242.368111032007
2020-314.399428284019314.399428284019
2031-314.399428284019315.399428284019
2041-320.740922222055321.740922222055
2051-314.399428284019315.399428284019
206058.4255404842595-58.4255404842595
2071-35.954714155472736.9547141554727
2081-314.399428284019315.399428284019
209143.4623428081765-42.4623428081765
2100-411.522627720438411.522627720438
2110227.217281593301-227.217281593301
2121-154.926637010321155.926637010321
2131-303.773297528449304.773297528449
2141-351.658169749221352.658169749221
21511026.03639200393-1025.03639200393
2160-139.501557713021139.501557713021
2171-301.696894496259302.696894496259
2180-314.399428284019314.399428284019
2191-209.884380896425210.884380896425
2201470.141823228575-469.141823228575
2211-313.051846691226314.051846691226
2221-314.399428284019315.399428284019
2231-327.625927292086328.625927292086
2241-290.057247633544291.057247633544
2251-350.748735723407351.748735723407
226159.8305535168233-58.8305535168233
2271-314.399428284019315.399428284019
22812766.83635903626-2765.83635903626
2291-158.264563404407159.264563404407
2301-261.005503386769262.005503386769
23113006.35180616167-3005.35180616167
2320-381.874155638653381.874155638653
2331211.02223908254-210.02223908254
2341-314.399428284019315.399428284019
2351-316.012783441251317.012783441251
2361-189.43653701427190.43653701427
2371-388.956657424086389.956657424086
2381-314.399428284019315.399428284019
2391-314.399428284019315.399428284019
2400-296.462152623071296.462152623071
2411-136.240142862109137.240142862109
2420-64.844867229268764.8448672292687
2431-314.399428284019315.399428284019
2441-321.009820142933322.009820142933
2451-485.77218812652486.77218812652
2461-691.084275112021692.084275112021
2471-314.399428284019315.399428284019
2481-329.768859133046330.768859133046
2491-314.399428284019315.399428284019
2500-315.0736408941315.0736408941
2511-314.399428284019315.399428284019
2520-74.469166655268374.4691666552683
2531-314.399428284019315.399428284019
2540-314.399428284019314.399428284019
2551-314.399428284019315.399428284019
2561-314.399428284019315.399428284019
2571-314.399428284019315.399428284019
2581-314.399428284019315.399428284019
2591-6.635958585997097.63595858599709
260132.0356060609078-31.0356060609078
2611-455.7097839524456.7097839524
2620-621.180529872689621.180529872689
2630-217.985129181294217.985129181294
2641454.926565849864-453.926565849864
2651-193.374396276692194.374396276692
2661-314.399428284019315.399428284019
2671-315.384316159257316.384316159257
2681-314.399428284019315.399428284019
2691-178.372205034726179.372205034726
2701-312.500896640269313.500896640269
2711-314.399428284019315.399428284019
2721-314.399428284019315.399428284019
2731-207.212601143572208.212601143572
2741-311.82241999192312.82241999192
2750-325.694242766818325.694242766818
2760-455.965087865033455.965087865033
2771-314.768681745057315.768681745057
2781-334.040422469637335.040422469637
2791-356.003496325609357.003496325609
2801-324.485391978498325.485391978498
2810-321.880985183283321.880985183283
2821-323.183254411324324.183254411324
2831-314.399428284019315.399428284019
2841-276.468335817003277.468335817003
2851-314.798736116294315.798736116294
2861-333.86659277056334.86659277056
2871-314.399428284019315.399428284019
2881-215.789383012655216.789383012655
2890-740.500774960777740.500774960777
2900-1520.264647347281520.26464734728
2911-314.399428284019315.399428284019
2921-322.051280730177323.051280730177
2931-314.399428284019315.399428284019
2941-277.003120531991278.003120531991
2951-313.157286402018314.157286402018
2961-314.15443137293315.15443137293
2970-314.399428284019314.399428284019
2980-1238.872089706941238.87208970694
2990-314.399428284019314.399428284019
3000-314.399428284019314.399428284019
3010-650.554079071496650.554079071496
3021-246.780498027495247.780498027495
3031301.301559101591-300.301559101591
3041-307.094290907234308.094290907234
3051-254.535844065105255.535844065105
3061-324.888613260102325.888613260102
3071394.288484118951-393.288484118951
3081-314.399428284019315.399428284019
3091-314.399428284019315.399428284019
3100-314.629750245281314.629750245281
3111-314.399428284019315.399428284019
3120-50.194214537040250.1942145370402
3131-272.041104757152273.041104757152
3141-312.449231509914313.449231509914
3151-216.83442566915217.83442566915
3160-97.04588156594197.045881565941
3171556.375516682799-555.375516682799
3180-351.729482561242351.729482561242
3191-314.399428284019315.399428284019
3201-208.537055443447209.537055443447
3211-313.496161842999314.496161842999
3221-335.502457222418336.502457222418
323111.4298296614225-10.4298296614225
3241-314.399428284019315.399428284019
3251419.889138895932-418.889138895932
3261-314.399428284019315.399428284019
3270750.719971850503-750.719971850503
32811013.21363823323-1012.21363823323
3290-1177.955088681691177.95508868169
3301-40.789947791827841.7899477918278
3311-152.532648775777153.532648775777
3320-314.399428284019314.399428284019
3330-314.399428284019314.399428284019
33401482.46295698684-1482.46295698684
3351-119.41442741643120.41442741643
3361-314.399428284019315.399428284019
3371111.304624280653-110.304624280653
3381267.937273984025-266.937273984025
3390-314.399428284019314.399428284019
3401-314.399428284019315.399428284019
3411256.205840203805-255.205840203805
3421-306.55398699297307.55398699297
3431-314.399428284019315.399428284019
344164.5229823466867-63.5229823466867
3450-314.399428284019314.399428284019
3461-61.026323344187862.0263233441878
3471-305.008379188889306.008379188889
3481-521.204876125449522.204876125449
3491-314.399428284019315.399428284019
3501-324.7692883052325.7692883052
3511-314.399428284019315.399428284019
3520-314.399428284019314.399428284019
3531-314.160288269701315.160288269701
3541-314.399428284019315.399428284019
3550-180.404050352284180.404050352284
3561-314.399428284019315.399428284019
3570-314.399428284019314.399428284019
3581-314.399428284019315.399428284019
3590-314.399428284019314.399428284019
3600673.007133367537-673.007133367537
3611932.626644241804-931.626644241804
3621-614.930796929475615.930796929475
3630-382.332980511048382.332980511048
364146.3781509790232-45.3781509790232
3651-341.870129112094342.870129112094
3661-538.339874088864539.339874088864
3671-328.331364579407329.331364579407
3681-320.369414329693321.369414329693
3690-314.399428284019314.399428284019
3701-299.612881954168300.612881954168
3711405.897863767509-404.897863767509
3721-354.708760563268355.708760563268
3731-287.357265382254288.357265382254
3740-116.748822630994116.748822630994
3751-289.851048928249290.851048928249
3760200.605980490206-200.605980490206
377048.7009040532558-48.7009040532558
3781-53.318196156870854.3181961568708
3791-268.893879145218269.893879145218
3801-314.399428284019315.399428284019
3811-241.991912300678242.991912300678
3820-250.992292706352250.992292706352
3831-110.386776205356111.386776205356
3841-282.412626291426283.412626291426
3851-312.523169514442313.523169514442
3860-351.350550716907351.350550716907
3870-348.209657197756348.209657197756
3881-314.399428284019315.399428284019
3890-314.399428284019314.399428284019
3901-314.399428284019315.399428284019
3911-314.399428284019315.399428284019
3921-314.399428284019315.399428284019
3931-94.324993673893595.3249936738935
3941-327.492088147407328.492088147407
3950-314.399428284019314.399428284019
3961-314.399428284019315.399428284019
3971-314.399428284019315.399428284019
3981-314.399428284019315.399428284019
3991-329.270078176866330.270078176866
4001263.038748149016-262.038748149016
4010298.501139882177-298.501139882177
4021-43.478815905138244.4788159051382
4031-403.279016527257404.279016527257
4041346.252845848463-345.252845848463
4051-291.064905644292.064905644
4061-324.185865278243325.185865278243
4070-317.977093021815317.977093021815
408157.1874204516557-56.1874204516557
4091181.87885538387-180.87885538387
4101467.428738459294-466.428738459294
4111-295.690257905448296.690257905448
4120-314.399428284019314.399428284019
4131-314.399428284019315.399428284019
4141-205.255459590013206.255459590013
4151-322.939174018042323.939174018042
4160-331.737334347204331.737334347204
41711381.26289869804-1380.26289869804
4181-59.273118364098960.273118364099
4191-314.437657630322315.437657630322
4201-314.399428284019315.399428284019
4211-320.595144764717321.595144764717
4220-649.90364545437649.90364545437
42311785.78497974364-1784.78497974364
4241-322.804049984493323.804049984493
4251-217.822014768834218.822014768834
4260-494.740554925782494.740554925782
4271-314.399428284019315.399428284019
4281-147.90794562235148.90794562235
4291-215.229681960086216.229681960086
4301-314.399428284019315.399428284019
4311-376.516143842548377.516143842548

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0 & 392.161589639236 & -392.161589639236 \tabularnewline
2 & 39 & 1058.75638373172 & -1019.75638373172 \tabularnewline
3 & 0 & 453.170872425406 & -453.170872425406 \tabularnewline
4 & 0 & 804.92605040037 & -804.92605040037 \tabularnewline
5 & 305 & -55.7594782798167 & 360.759478279817 \tabularnewline
6 & -9 & 270.023578127394 & -279.023578127394 \tabularnewline
7 & -1 & 320.923518169805 & -321.923518169805 \tabularnewline
8 & 0 & 463.145307402818 & -463.145307402818 \tabularnewline
9 & 0 & 588.851294198791 & -588.851294198791 \tabularnewline
10 & 0 & 401.833935795067 & -401.833935795067 \tabularnewline
11 & 33 & 775.399250569168 & -742.399250569168 \tabularnewline
12 & 32 & 796.93466508348 & -764.93466508348 \tabularnewline
13 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
14 & 0 & 322.554940423854 & -322.554940423854 \tabularnewline
15 & 0 & 429.242717654423 & -429.242717654423 \tabularnewline
16 & 0 & 312.140875840281 & -312.140875840281 \tabularnewline
17 & 0 & 468.31763022164 & -468.31763022164 \tabularnewline
18 & 0 & 484.750901266501 & -484.750901266501 \tabularnewline
19 & 0 & 481.983255203111 & -481.983255203111 \tabularnewline
20 & 0 & 460.021926068741 & -460.021926068741 \tabularnewline
21 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
22 & 0 & 358.345736790049 & -358.345736790049 \tabularnewline
23 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
24 & -3 & 1033.00955282774 & -1036.00955282774 \tabularnewline
25 & 6 & 711.236568183422 & -705.236568183422 \tabularnewline
26 & 0 & 450.766317710219 & -450.766317710219 \tabularnewline
27 & 0 & 356.234782704918 & -356.234782704918 \tabularnewline
28 & 70 & 620.784527143087 & -550.784527143087 \tabularnewline
29 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
30 & 5 & 539.495779106413 & -534.495779106413 \tabularnewline
31 & -5 & -139.895213885092 & 134.895213885092 \tabularnewline
32 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
33 & 0 & 538.008522588833 & -538.008522588833 \tabularnewline
34 & 58 & 1518.55264553999 & -1460.55264553999 \tabularnewline
35 & 37 & 258.601329125937 & -221.601329125937 \tabularnewline
36 & 9 & 33.2183041008218 & -24.2183041008218 \tabularnewline
37 & 0 & 468.01521986493 & -468.01521986493 \tabularnewline
38 & -31 & 106.010867936827 & -137.010867936827 \tabularnewline
39 & 2865 & 3595.39052985095 & -730.390529850948 \tabularnewline
40 & 0 & 660.30755393142 & -660.30755393142 \tabularnewline
41 & 14 & 1054.42914866612 & -1040.42914866612 \tabularnewline
42 & 0 & 773.721106152143 & -773.721106152143 \tabularnewline
43 & 32 & 702.819992072852 & -670.819992072852 \tabularnewline
44 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
45 & 0 & 355.117564202154 & -355.117564202154 \tabularnewline
46 & -4 & 347.445280615949 & -351.445280615949 \tabularnewline
47 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
48 & 0 & 427.914067254791 & -427.914067254791 \tabularnewline
49 & 74 & 569.471348724246 & -495.471348724246 \tabularnewline
50 & 20 & 810.683091193027 & -790.683091193027 \tabularnewline
51 & 247 & 541.73267413451 & -294.73267413451 \tabularnewline
52 & 11 & 642.921464775982 & -631.921464775982 \tabularnewline
53 & -6 & 159.302130296949 & -165.302130296949 \tabularnewline
54 & 284 & 898.088709361266 & -614.088709361266 \tabularnewline
55 & 819 & 4024.67756519533 & -3205.67756519533 \tabularnewline
56 & 652 & 1665.67512391794 & -1013.67512391794 \tabularnewline
57 & 0 & 450.976561243576 & -450.976561243576 \tabularnewline
58 & 10 & 9.77397953979088 & 0.226020460209117 \tabularnewline
59 & 22 & 336.204613806296 & -314.204613806296 \tabularnewline
60 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
61 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
62 & 16 & 330.681010921106 & -314.681010921106 \tabularnewline
63 & -3 & -107.926806762992 & 104.926806762992 \tabularnewline
64 & 0 & 472.308528406998 & -472.308528406998 \tabularnewline
65 & 10 & -720.828080499067 & 730.828080499067 \tabularnewline
66 & 0 & 465.041939814662 & -465.041939814662 \tabularnewline
67 & 73 & 476.421972718915 & -403.421972718915 \tabularnewline
68 & 0 & 515.65660814861 & -515.65660814861 \tabularnewline
69 & 0 & 373.683287826835 & -373.683287826835 \tabularnewline
70 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
71 & 1974 & 5352.6463520053 & -3378.6463520053 \tabularnewline
72 & -129 & -426.70096815585 & 297.70096815585 \tabularnewline
73 & 28328 & 19556.7245521192 & 8771.27544788082 \tabularnewline
74 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
75 & 0 & 519.998096324366 & -519.998096324366 \tabularnewline
76 & 0 & 530.679602937103 & -530.679602937103 \tabularnewline
77 & 0 & 580.595642417131 & -580.595642417131 \tabularnewline
78 & 0 & 458.469242816082 & -458.469242816082 \tabularnewline
79 & 238 & -827.442048543066 & 1065.44204854307 \tabularnewline
80 & 3040 & 3220.95835794046 & -180.958357940457 \tabularnewline
81 & 0 & 467.673261736701 & -467.673261736701 \tabularnewline
82 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
83 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
84 & 1 & 503.201464658482 & -502.201464658482 \tabularnewline
85 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
86 & 0 & 470.544947552081 & -470.544947552081 \tabularnewline
87 & 0 & 460.350726865377 & -460.350726865377 \tabularnewline
88 & 0 & 470.23627391502 & -470.23627391502 \tabularnewline
89 & 0 & 374.272275693352 & -374.272275693352 \tabularnewline
90 & 0 & 569.535375644293 & -569.535375644293 \tabularnewline
91 & 0 & 470.544947552081 & -470.544947552081 \tabularnewline
92 & 0 & 359.270653721723 & -359.270653721723 \tabularnewline
93 & 1910 & 2844.14580115517 & -934.145801155167 \tabularnewline
94 & 38 & -507.014551316143 & 545.014551316143 \tabularnewline
95 & 0 & 505.247660964058 & -505.247660964058 \tabularnewline
96 & 0 & 546.944183263638 & -546.944183263638 \tabularnewline
97 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
98 & 0 & 451.24474674353 & -451.24474674353 \tabularnewline
99 & 0 & 477.80182492085 & -477.80182492085 \tabularnewline
100 & 0 & 250.867904675681 & -250.867904675681 \tabularnewline
101 & 17 & 1048.29819593311 & -1031.29819593311 \tabularnewline
102 & 0 & 377.941842861579 & -377.941842861579 \tabularnewline
103 & 0 & 476.320626016224 & -476.320626016224 \tabularnewline
104 & 0 & 470.349466985807 & -470.349466985807 \tabularnewline
105 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
106 & -366 & -2343.88100304334 & 1977.88100304334 \tabularnewline
107 & 0 & 390.369703387268 & -390.369703387268 \tabularnewline
108 & 2964 & 4695.18248455928 & -1731.18248455928 \tabularnewline
109 & 0 & 336.826526271666 & -336.826526271666 \tabularnewline
110 & 0 & 458.257105784928 & -458.257105784928 \tabularnewline
111 & 36 & 512.632957745068 & -476.632957745068 \tabularnewline
112 & -8 & -168.531598681635 & 160.531598681635 \tabularnewline
113 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
114 & -5 & 441.615163043315 & -446.615163043315 \tabularnewline
115 & 0 & 470.544947552081 & -470.544947552081 \tabularnewline
116 & 0 & 416.755109197176 & -416.755109197176 \tabularnewline
117 & 38 & 798.3086407563 & -760.308640756301 \tabularnewline
118 & 601 & 2497.020815899 & -1896.020815899 \tabularnewline
119 & 132 & 2142.22248423078 & -2010.22248423078 \tabularnewline
120 & 66 & 1405.97152740084 & -1339.97152740084 \tabularnewline
121 & 0 & -87.06825036823 & 87.06825036823 \tabularnewline
122 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
123 & 195 & 2264.85864649608 & -2069.85864649608 \tabularnewline
124 & 19 & 758.164550499225 & -739.164550499225 \tabularnewline
125 & -158 & -177.016728593847 & 19.0167285938472 \tabularnewline
126 & 0 & 470.544947552081 & -470.544947552081 \tabularnewline
127 & 0 & 449.82603210858 & -449.82603210858 \tabularnewline
128 & 0 & 470.534447519573 & -470.534447519573 \tabularnewline
129 & -70 & -1783.72090973225 & 1713.72090973225 \tabularnewline
130 & 13 & 399.091560357517 & -386.091560357517 \tabularnewline
131 & 3 & 515.708614909894 & -512.708614909894 \tabularnewline
132 & 0 & 470.544947552081 & -470.544947552081 \tabularnewline
133 & 0 & 470.544947552081 & -470.544947552081 \tabularnewline
134 & 0 & 470.544947552081 & -470.544947552081 \tabularnewline
135 & 0 & 459.931909039703 & -459.931909039703 \tabularnewline
136 & 1 & 410.373191408919 & -409.373191408919 \tabularnewline
137 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
138 & 0 & -271.97933636191 & 271.97933636191 \tabularnewline
139 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
140 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
141 & 0 & 100.833647776961 & -100.833647776961 \tabularnewline
142 & 1 & -821.458061203126 & 822.458061203126 \tabularnewline
143 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
144 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
145 & 0 & -324.629189383017 & 324.629189383017 \tabularnewline
146 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
147 & 1 & -324.517879309177 & 325.517879309177 \tabularnewline
148 & 0 & -397.911237272461 & 397.911237272461 \tabularnewline
149 & 1 & -246.248310252208 & 247.248310252208 \tabularnewline
150 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
151 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
152 & 1 & -344.540681954948 & 345.540681954948 \tabularnewline
153 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
154 & 1 & -354.157754529219 & 355.157754529219 \tabularnewline
155 & 0 & -258.535925986715 & 258.535925986715 \tabularnewline
156 & 1 & -161.083061943299 & 162.083061943299 \tabularnewline
157 & 1 & -303.13196529603 & 304.13196529603 \tabularnewline
158 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
159 & 0 & -297.632945073789 & 297.632945073789 \tabularnewline
160 & 1 & 328.952753064315 & -327.952753064315 \tabularnewline
161 & 1 & -321.272376308552 & 322.272376308552 \tabularnewline
162 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
163 & 0 & -376.036123646575 & 376.036123646575 \tabularnewline
164 & 1 & -268.153922723674 & 269.153922723674 \tabularnewline
165 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
166 & 1 & 237.899830527419 & -236.899830527419 \tabularnewline
167 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
168 & 1 & -319.997911920555 & 320.997911920555 \tabularnewline
169 & 1 & -660.850148128153 & 661.850148128153 \tabularnewline
170 & 1 & -215.404984654819 & 216.404984654819 \tabularnewline
171 & 0 & 620.206295192763 & -620.206295192763 \tabularnewline
172 & 0 & 196.286746971766 & -196.286746971766 \tabularnewline
173 & 1 & -124.932345139274 & 125.932345139274 \tabularnewline
174 & 0 & 73.3090202270996 & -73.3090202270996 \tabularnewline
175 & 1 & -492.248872115629 & 493.248872115629 \tabularnewline
176 & 1 & -34.4909131813125 & 35.4909131813125 \tabularnewline
177 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
178 & 1 & -316.012544399768 & 317.012544399768 \tabularnewline
179 & 0 & -307.533307202249 & 307.533307202249 \tabularnewline
180 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
181 & 1 & 487.209193402988 & -486.209193402988 \tabularnewline
182 & 1 & 276.964117909527 & -275.964117909527 \tabularnewline
183 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
184 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
185 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
186 & 1 & -314.774184754549 & 315.774184754549 \tabularnewline
187 & 1 & -303.806476049745 & 304.806476049745 \tabularnewline
188 & 1 & -272.804343944981 & 273.804343944981 \tabularnewline
189 & 1 & -2419.86347886148 & 2420.86347886148 \tabularnewline
190 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
191 & 1 & -314.084776635185 & 315.084776635185 \tabularnewline
192 & 1 & -279.620455417273 & 280.620455417273 \tabularnewline
193 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
194 & 1 & -314.844190966783 & 315.844190966783 \tabularnewline
195 & 1 & -171.625324452537 & 172.625324452537 \tabularnewline
196 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
197 & 0 & 288.349904643021 & -288.349904643021 \tabularnewline
198 & 0 & -546.407792359473 & 546.407792359473 \tabularnewline
199 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
200 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
201 & 0 & -242.368111032007 & 242.368111032007 \tabularnewline
202 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
203 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
204 & 1 & -320.740922222055 & 321.740922222055 \tabularnewline
205 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
206 & 0 & 58.4255404842595 & -58.4255404842595 \tabularnewline
207 & 1 & -35.9547141554727 & 36.9547141554727 \tabularnewline
208 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
209 & 1 & 43.4623428081765 & -42.4623428081765 \tabularnewline
210 & 0 & -411.522627720438 & 411.522627720438 \tabularnewline
211 & 0 & 227.217281593301 & -227.217281593301 \tabularnewline
212 & 1 & -154.926637010321 & 155.926637010321 \tabularnewline
213 & 1 & -303.773297528449 & 304.773297528449 \tabularnewline
214 & 1 & -351.658169749221 & 352.658169749221 \tabularnewline
215 & 1 & 1026.03639200393 & -1025.03639200393 \tabularnewline
216 & 0 & -139.501557713021 & 139.501557713021 \tabularnewline
217 & 1 & -301.696894496259 & 302.696894496259 \tabularnewline
218 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
219 & 1 & -209.884380896425 & 210.884380896425 \tabularnewline
220 & 1 & 470.141823228575 & -469.141823228575 \tabularnewline
221 & 1 & -313.051846691226 & 314.051846691226 \tabularnewline
222 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
223 & 1 & -327.625927292086 & 328.625927292086 \tabularnewline
224 & 1 & -290.057247633544 & 291.057247633544 \tabularnewline
225 & 1 & -350.748735723407 & 351.748735723407 \tabularnewline
226 & 1 & 59.8305535168233 & -58.8305535168233 \tabularnewline
227 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
228 & 1 & 2766.83635903626 & -2765.83635903626 \tabularnewline
229 & 1 & -158.264563404407 & 159.264563404407 \tabularnewline
230 & 1 & -261.005503386769 & 262.005503386769 \tabularnewline
231 & 1 & 3006.35180616167 & -3005.35180616167 \tabularnewline
232 & 0 & -381.874155638653 & 381.874155638653 \tabularnewline
233 & 1 & 211.02223908254 & -210.02223908254 \tabularnewline
234 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
235 & 1 & -316.012783441251 & 317.012783441251 \tabularnewline
236 & 1 & -189.43653701427 & 190.43653701427 \tabularnewline
237 & 1 & -388.956657424086 & 389.956657424086 \tabularnewline
238 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
239 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
240 & 0 & -296.462152623071 & 296.462152623071 \tabularnewline
241 & 1 & -136.240142862109 & 137.240142862109 \tabularnewline
242 & 0 & -64.8448672292687 & 64.8448672292687 \tabularnewline
243 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
244 & 1 & -321.009820142933 & 322.009820142933 \tabularnewline
245 & 1 & -485.77218812652 & 486.77218812652 \tabularnewline
246 & 1 & -691.084275112021 & 692.084275112021 \tabularnewline
247 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
248 & 1 & -329.768859133046 & 330.768859133046 \tabularnewline
249 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
250 & 0 & -315.0736408941 & 315.0736408941 \tabularnewline
251 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
252 & 0 & -74.4691666552683 & 74.4691666552683 \tabularnewline
253 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
254 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
255 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
256 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
257 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
258 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
259 & 1 & -6.63595858599709 & 7.63595858599709 \tabularnewline
260 & 1 & 32.0356060609078 & -31.0356060609078 \tabularnewline
261 & 1 & -455.7097839524 & 456.7097839524 \tabularnewline
262 & 0 & -621.180529872689 & 621.180529872689 \tabularnewline
263 & 0 & -217.985129181294 & 217.985129181294 \tabularnewline
264 & 1 & 454.926565849864 & -453.926565849864 \tabularnewline
265 & 1 & -193.374396276692 & 194.374396276692 \tabularnewline
266 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
267 & 1 & -315.384316159257 & 316.384316159257 \tabularnewline
268 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
269 & 1 & -178.372205034726 & 179.372205034726 \tabularnewline
270 & 1 & -312.500896640269 & 313.500896640269 \tabularnewline
271 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
272 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
273 & 1 & -207.212601143572 & 208.212601143572 \tabularnewline
274 & 1 & -311.82241999192 & 312.82241999192 \tabularnewline
275 & 0 & -325.694242766818 & 325.694242766818 \tabularnewline
276 & 0 & -455.965087865033 & 455.965087865033 \tabularnewline
277 & 1 & -314.768681745057 & 315.768681745057 \tabularnewline
278 & 1 & -334.040422469637 & 335.040422469637 \tabularnewline
279 & 1 & -356.003496325609 & 357.003496325609 \tabularnewline
280 & 1 & -324.485391978498 & 325.485391978498 \tabularnewline
281 & 0 & -321.880985183283 & 321.880985183283 \tabularnewline
282 & 1 & -323.183254411324 & 324.183254411324 \tabularnewline
283 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
284 & 1 & -276.468335817003 & 277.468335817003 \tabularnewline
285 & 1 & -314.798736116294 & 315.798736116294 \tabularnewline
286 & 1 & -333.86659277056 & 334.86659277056 \tabularnewline
287 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
288 & 1 & -215.789383012655 & 216.789383012655 \tabularnewline
289 & 0 & -740.500774960777 & 740.500774960777 \tabularnewline
290 & 0 & -1520.26464734728 & 1520.26464734728 \tabularnewline
291 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
292 & 1 & -322.051280730177 & 323.051280730177 \tabularnewline
293 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
294 & 1 & -277.003120531991 & 278.003120531991 \tabularnewline
295 & 1 & -313.157286402018 & 314.157286402018 \tabularnewline
296 & 1 & -314.15443137293 & 315.15443137293 \tabularnewline
297 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
298 & 0 & -1238.87208970694 & 1238.87208970694 \tabularnewline
299 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
300 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
301 & 0 & -650.554079071496 & 650.554079071496 \tabularnewline
302 & 1 & -246.780498027495 & 247.780498027495 \tabularnewline
303 & 1 & 301.301559101591 & -300.301559101591 \tabularnewline
304 & 1 & -307.094290907234 & 308.094290907234 \tabularnewline
305 & 1 & -254.535844065105 & 255.535844065105 \tabularnewline
306 & 1 & -324.888613260102 & 325.888613260102 \tabularnewline
307 & 1 & 394.288484118951 & -393.288484118951 \tabularnewline
308 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
309 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
310 & 0 & -314.629750245281 & 314.629750245281 \tabularnewline
311 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
312 & 0 & -50.1942145370402 & 50.1942145370402 \tabularnewline
313 & 1 & -272.041104757152 & 273.041104757152 \tabularnewline
314 & 1 & -312.449231509914 & 313.449231509914 \tabularnewline
315 & 1 & -216.83442566915 & 217.83442566915 \tabularnewline
316 & 0 & -97.045881565941 & 97.045881565941 \tabularnewline
317 & 1 & 556.375516682799 & -555.375516682799 \tabularnewline
318 & 0 & -351.729482561242 & 351.729482561242 \tabularnewline
319 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
320 & 1 & -208.537055443447 & 209.537055443447 \tabularnewline
321 & 1 & -313.496161842999 & 314.496161842999 \tabularnewline
322 & 1 & -335.502457222418 & 336.502457222418 \tabularnewline
323 & 1 & 11.4298296614225 & -10.4298296614225 \tabularnewline
324 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
325 & 1 & 419.889138895932 & -418.889138895932 \tabularnewline
326 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
327 & 0 & 750.719971850503 & -750.719971850503 \tabularnewline
328 & 1 & 1013.21363823323 & -1012.21363823323 \tabularnewline
329 & 0 & -1177.95508868169 & 1177.95508868169 \tabularnewline
330 & 1 & -40.7899477918278 & 41.7899477918278 \tabularnewline
331 & 1 & -152.532648775777 & 153.532648775777 \tabularnewline
332 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
333 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
334 & 0 & 1482.46295698684 & -1482.46295698684 \tabularnewline
335 & 1 & -119.41442741643 & 120.41442741643 \tabularnewline
336 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
337 & 1 & 111.304624280653 & -110.304624280653 \tabularnewline
338 & 1 & 267.937273984025 & -266.937273984025 \tabularnewline
339 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
340 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
341 & 1 & 256.205840203805 & -255.205840203805 \tabularnewline
342 & 1 & -306.55398699297 & 307.55398699297 \tabularnewline
343 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
344 & 1 & 64.5229823466867 & -63.5229823466867 \tabularnewline
345 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
346 & 1 & -61.0263233441878 & 62.0263233441878 \tabularnewline
347 & 1 & -305.008379188889 & 306.008379188889 \tabularnewline
348 & 1 & -521.204876125449 & 522.204876125449 \tabularnewline
349 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
350 & 1 & -324.7692883052 & 325.7692883052 \tabularnewline
351 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
352 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
353 & 1 & -314.160288269701 & 315.160288269701 \tabularnewline
354 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
355 & 0 & -180.404050352284 & 180.404050352284 \tabularnewline
356 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
357 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
358 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
359 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
360 & 0 & 673.007133367537 & -673.007133367537 \tabularnewline
361 & 1 & 932.626644241804 & -931.626644241804 \tabularnewline
362 & 1 & -614.930796929475 & 615.930796929475 \tabularnewline
363 & 0 & -382.332980511048 & 382.332980511048 \tabularnewline
364 & 1 & 46.3781509790232 & -45.3781509790232 \tabularnewline
365 & 1 & -341.870129112094 & 342.870129112094 \tabularnewline
366 & 1 & -538.339874088864 & 539.339874088864 \tabularnewline
367 & 1 & -328.331364579407 & 329.331364579407 \tabularnewline
368 & 1 & -320.369414329693 & 321.369414329693 \tabularnewline
369 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
370 & 1 & -299.612881954168 & 300.612881954168 \tabularnewline
371 & 1 & 405.897863767509 & -404.897863767509 \tabularnewline
372 & 1 & -354.708760563268 & 355.708760563268 \tabularnewline
373 & 1 & -287.357265382254 & 288.357265382254 \tabularnewline
374 & 0 & -116.748822630994 & 116.748822630994 \tabularnewline
375 & 1 & -289.851048928249 & 290.851048928249 \tabularnewline
376 & 0 & 200.605980490206 & -200.605980490206 \tabularnewline
377 & 0 & 48.7009040532558 & -48.7009040532558 \tabularnewline
378 & 1 & -53.3181961568708 & 54.3181961568708 \tabularnewline
379 & 1 & -268.893879145218 & 269.893879145218 \tabularnewline
380 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
381 & 1 & -241.991912300678 & 242.991912300678 \tabularnewline
382 & 0 & -250.992292706352 & 250.992292706352 \tabularnewline
383 & 1 & -110.386776205356 & 111.386776205356 \tabularnewline
384 & 1 & -282.412626291426 & 283.412626291426 \tabularnewline
385 & 1 & -312.523169514442 & 313.523169514442 \tabularnewline
386 & 0 & -351.350550716907 & 351.350550716907 \tabularnewline
387 & 0 & -348.209657197756 & 348.209657197756 \tabularnewline
388 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
389 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
390 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
391 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
392 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
393 & 1 & -94.3249936738935 & 95.3249936738935 \tabularnewline
394 & 1 & -327.492088147407 & 328.492088147407 \tabularnewline
395 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
396 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
397 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
398 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
399 & 1 & -329.270078176866 & 330.270078176866 \tabularnewline
400 & 1 & 263.038748149016 & -262.038748149016 \tabularnewline
401 & 0 & 298.501139882177 & -298.501139882177 \tabularnewline
402 & 1 & -43.4788159051382 & 44.4788159051382 \tabularnewline
403 & 1 & -403.279016527257 & 404.279016527257 \tabularnewline
404 & 1 & 346.252845848463 & -345.252845848463 \tabularnewline
405 & 1 & -291.064905644 & 292.064905644 \tabularnewline
406 & 1 & -324.185865278243 & 325.185865278243 \tabularnewline
407 & 0 & -317.977093021815 & 317.977093021815 \tabularnewline
408 & 1 & 57.1874204516557 & -56.1874204516557 \tabularnewline
409 & 1 & 181.87885538387 & -180.87885538387 \tabularnewline
410 & 1 & 467.428738459294 & -466.428738459294 \tabularnewline
411 & 1 & -295.690257905448 & 296.690257905448 \tabularnewline
412 & 0 & -314.399428284019 & 314.399428284019 \tabularnewline
413 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
414 & 1 & -205.255459590013 & 206.255459590013 \tabularnewline
415 & 1 & -322.939174018042 & 323.939174018042 \tabularnewline
416 & 0 & -331.737334347204 & 331.737334347204 \tabularnewline
417 & 1 & 1381.26289869804 & -1380.26289869804 \tabularnewline
418 & 1 & -59.2731183640989 & 60.273118364099 \tabularnewline
419 & 1 & -314.437657630322 & 315.437657630322 \tabularnewline
420 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
421 & 1 & -320.595144764717 & 321.595144764717 \tabularnewline
422 & 0 & -649.90364545437 & 649.90364545437 \tabularnewline
423 & 1 & 1785.78497974364 & -1784.78497974364 \tabularnewline
424 & 1 & -322.804049984493 & 323.804049984493 \tabularnewline
425 & 1 & -217.822014768834 & 218.822014768834 \tabularnewline
426 & 0 & -494.740554925782 & 494.740554925782 \tabularnewline
427 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
428 & 1 & -147.90794562235 & 148.90794562235 \tabularnewline
429 & 1 & -215.229681960086 & 216.229681960086 \tabularnewline
430 & 1 & -314.399428284019 & 315.399428284019 \tabularnewline
431 & 1 & -376.516143842548 & 377.516143842548 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116946&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]0[/C][C]392.161589639236[/C][C]-392.161589639236[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]1058.75638373172[/C][C]-1019.75638373172[/C][/ROW]
[ROW][C]3[/C][C]0[/C][C]453.170872425406[/C][C]-453.170872425406[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]804.92605040037[/C][C]-804.92605040037[/C][/ROW]
[ROW][C]5[/C][C]305[/C][C]-55.7594782798167[/C][C]360.759478279817[/C][/ROW]
[ROW][C]6[/C][C]-9[/C][C]270.023578127394[/C][C]-279.023578127394[/C][/ROW]
[ROW][C]7[/C][C]-1[/C][C]320.923518169805[/C][C]-321.923518169805[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]463.145307402818[/C][C]-463.145307402818[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]588.851294198791[/C][C]-588.851294198791[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]401.833935795067[/C][C]-401.833935795067[/C][/ROW]
[ROW][C]11[/C][C]33[/C][C]775.399250569168[/C][C]-742.399250569168[/C][/ROW]
[ROW][C]12[/C][C]32[/C][C]796.93466508348[/C][C]-764.93466508348[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]322.554940423854[/C][C]-322.554940423854[/C][/ROW]
[ROW][C]15[/C][C]0[/C][C]429.242717654423[/C][C]-429.242717654423[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]312.140875840281[/C][C]-312.140875840281[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]468.31763022164[/C][C]-468.31763022164[/C][/ROW]
[ROW][C]18[/C][C]0[/C][C]484.750901266501[/C][C]-484.750901266501[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]481.983255203111[/C][C]-481.983255203111[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]460.021926068741[/C][C]-460.021926068741[/C][/ROW]
[ROW][C]21[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]22[/C][C]0[/C][C]358.345736790049[/C][C]-358.345736790049[/C][/ROW]
[ROW][C]23[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]24[/C][C]-3[/C][C]1033.00955282774[/C][C]-1036.00955282774[/C][/ROW]
[ROW][C]25[/C][C]6[/C][C]711.236568183422[/C][C]-705.236568183422[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]450.766317710219[/C][C]-450.766317710219[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]356.234782704918[/C][C]-356.234782704918[/C][/ROW]
[ROW][C]28[/C][C]70[/C][C]620.784527143087[/C][C]-550.784527143087[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]30[/C][C]5[/C][C]539.495779106413[/C][C]-534.495779106413[/C][/ROW]
[ROW][C]31[/C][C]-5[/C][C]-139.895213885092[/C][C]134.895213885092[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]538.008522588833[/C][C]-538.008522588833[/C][/ROW]
[ROW][C]34[/C][C]58[/C][C]1518.55264553999[/C][C]-1460.55264553999[/C][/ROW]
[ROW][C]35[/C][C]37[/C][C]258.601329125937[/C][C]-221.601329125937[/C][/ROW]
[ROW][C]36[/C][C]9[/C][C]33.2183041008218[/C][C]-24.2183041008218[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]468.01521986493[/C][C]-468.01521986493[/C][/ROW]
[ROW][C]38[/C][C]-31[/C][C]106.010867936827[/C][C]-137.010867936827[/C][/ROW]
[ROW][C]39[/C][C]2865[/C][C]3595.39052985095[/C][C]-730.390529850948[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]660.30755393142[/C][C]-660.30755393142[/C][/ROW]
[ROW][C]41[/C][C]14[/C][C]1054.42914866612[/C][C]-1040.42914866612[/C][/ROW]
[ROW][C]42[/C][C]0[/C][C]773.721106152143[/C][C]-773.721106152143[/C][/ROW]
[ROW][C]43[/C][C]32[/C][C]702.819992072852[/C][C]-670.819992072852[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]355.117564202154[/C][C]-355.117564202154[/C][/ROW]
[ROW][C]46[/C][C]-4[/C][C]347.445280615949[/C][C]-351.445280615949[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]427.914067254791[/C][C]-427.914067254791[/C][/ROW]
[ROW][C]49[/C][C]74[/C][C]569.471348724246[/C][C]-495.471348724246[/C][/ROW]
[ROW][C]50[/C][C]20[/C][C]810.683091193027[/C][C]-790.683091193027[/C][/ROW]
[ROW][C]51[/C][C]247[/C][C]541.73267413451[/C][C]-294.73267413451[/C][/ROW]
[ROW][C]52[/C][C]11[/C][C]642.921464775982[/C][C]-631.921464775982[/C][/ROW]
[ROW][C]53[/C][C]-6[/C][C]159.302130296949[/C][C]-165.302130296949[/C][/ROW]
[ROW][C]54[/C][C]284[/C][C]898.088709361266[/C][C]-614.088709361266[/C][/ROW]
[ROW][C]55[/C][C]819[/C][C]4024.67756519533[/C][C]-3205.67756519533[/C][/ROW]
[ROW][C]56[/C][C]652[/C][C]1665.67512391794[/C][C]-1013.67512391794[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]450.976561243576[/C][C]-450.976561243576[/C][/ROW]
[ROW][C]58[/C][C]10[/C][C]9.77397953979088[/C][C]0.226020460209117[/C][/ROW]
[ROW][C]59[/C][C]22[/C][C]336.204613806296[/C][C]-314.204613806296[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]330.681010921106[/C][C]-314.681010921106[/C][/ROW]
[ROW][C]63[/C][C]-3[/C][C]-107.926806762992[/C][C]104.926806762992[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]472.308528406998[/C][C]-472.308528406998[/C][/ROW]
[ROW][C]65[/C][C]10[/C][C]-720.828080499067[/C][C]730.828080499067[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]465.041939814662[/C][C]-465.041939814662[/C][/ROW]
[ROW][C]67[/C][C]73[/C][C]476.421972718915[/C][C]-403.421972718915[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]515.65660814861[/C][C]-515.65660814861[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]373.683287826835[/C][C]-373.683287826835[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]71[/C][C]1974[/C][C]5352.6463520053[/C][C]-3378.6463520053[/C][/ROW]
[ROW][C]72[/C][C]-129[/C][C]-426.70096815585[/C][C]297.70096815585[/C][/ROW]
[ROW][C]73[/C][C]28328[/C][C]19556.7245521192[/C][C]8771.27544788082[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]519.998096324366[/C][C]-519.998096324366[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]530.679602937103[/C][C]-530.679602937103[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]580.595642417131[/C][C]-580.595642417131[/C][/ROW]
[ROW][C]78[/C][C]0[/C][C]458.469242816082[/C][C]-458.469242816082[/C][/ROW]
[ROW][C]79[/C][C]238[/C][C]-827.442048543066[/C][C]1065.44204854307[/C][/ROW]
[ROW][C]80[/C][C]3040[/C][C]3220.95835794046[/C][C]-180.958357940457[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]467.673261736701[/C][C]-467.673261736701[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]503.201464658482[/C][C]-502.201464658482[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]470.544947552081[/C][C]-470.544947552081[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]460.350726865377[/C][C]-460.350726865377[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]470.23627391502[/C][C]-470.23627391502[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]374.272275693352[/C][C]-374.272275693352[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]569.535375644293[/C][C]-569.535375644293[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]470.544947552081[/C][C]-470.544947552081[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]359.270653721723[/C][C]-359.270653721723[/C][/ROW]
[ROW][C]93[/C][C]1910[/C][C]2844.14580115517[/C][C]-934.145801155167[/C][/ROW]
[ROW][C]94[/C][C]38[/C][C]-507.014551316143[/C][C]545.014551316143[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]505.247660964058[/C][C]-505.247660964058[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]546.944183263638[/C][C]-546.944183263638[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]451.24474674353[/C][C]-451.24474674353[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]477.80182492085[/C][C]-477.80182492085[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]250.867904675681[/C][C]-250.867904675681[/C][/ROW]
[ROW][C]101[/C][C]17[/C][C]1048.29819593311[/C][C]-1031.29819593311[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]377.941842861579[/C][C]-377.941842861579[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]476.320626016224[/C][C]-476.320626016224[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]470.349466985807[/C][C]-470.349466985807[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]106[/C][C]-366[/C][C]-2343.88100304334[/C][C]1977.88100304334[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]390.369703387268[/C][C]-390.369703387268[/C][/ROW]
[ROW][C]108[/C][C]2964[/C][C]4695.18248455928[/C][C]-1731.18248455928[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]336.826526271666[/C][C]-336.826526271666[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]458.257105784928[/C][C]-458.257105784928[/C][/ROW]
[ROW][C]111[/C][C]36[/C][C]512.632957745068[/C][C]-476.632957745068[/C][/ROW]
[ROW][C]112[/C][C]-8[/C][C]-168.531598681635[/C][C]160.531598681635[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]114[/C][C]-5[/C][C]441.615163043315[/C][C]-446.615163043315[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]470.544947552081[/C][C]-470.544947552081[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]416.755109197176[/C][C]-416.755109197176[/C][/ROW]
[ROW][C]117[/C][C]38[/C][C]798.3086407563[/C][C]-760.308640756301[/C][/ROW]
[ROW][C]118[/C][C]601[/C][C]2497.020815899[/C][C]-1896.020815899[/C][/ROW]
[ROW][C]119[/C][C]132[/C][C]2142.22248423078[/C][C]-2010.22248423078[/C][/ROW]
[ROW][C]120[/C][C]66[/C][C]1405.97152740084[/C][C]-1339.97152740084[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]-87.06825036823[/C][C]87.06825036823[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]123[/C][C]195[/C][C]2264.85864649608[/C][C]-2069.85864649608[/C][/ROW]
[ROW][C]124[/C][C]19[/C][C]758.164550499225[/C][C]-739.164550499225[/C][/ROW]
[ROW][C]125[/C][C]-158[/C][C]-177.016728593847[/C][C]19.0167285938472[/C][/ROW]
[ROW][C]126[/C][C]0[/C][C]470.544947552081[/C][C]-470.544947552081[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]449.82603210858[/C][C]-449.82603210858[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]470.534447519573[/C][C]-470.534447519573[/C][/ROW]
[ROW][C]129[/C][C]-70[/C][C]-1783.72090973225[/C][C]1713.72090973225[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]399.091560357517[/C][C]-386.091560357517[/C][/ROW]
[ROW][C]131[/C][C]3[/C][C]515.708614909894[/C][C]-512.708614909894[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]470.544947552081[/C][C]-470.544947552081[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]470.544947552081[/C][C]-470.544947552081[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]470.544947552081[/C][C]-470.544947552081[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]459.931909039703[/C][C]-459.931909039703[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]410.373191408919[/C][C]-409.373191408919[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]138[/C][C]0[/C][C]-271.97933636191[/C][C]271.97933636191[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]100.833647776961[/C][C]-100.833647776961[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]-821.458061203126[/C][C]822.458061203126[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]144[/C][C]0[/C][C]-314.399428284019[/C][C]314.399428284019[/C][/ROW]
[ROW][C]145[/C][C]0[/C][C]-324.629189383017[/C][C]324.629189383017[/C][/ROW]
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[ROW][C]147[/C][C]1[/C][C]-324.517879309177[/C][C]325.517879309177[/C][/ROW]
[ROW][C]148[/C][C]0[/C][C]-397.911237272461[/C][C]397.911237272461[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]-246.248310252208[/C][C]247.248310252208[/C][/ROW]
[ROW][C]150[/C][C]0[/C][C]-314.399428284019[/C][C]314.399428284019[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]-344.540681954948[/C][C]345.540681954948[/C][/ROW]
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[ROW][C]154[/C][C]1[/C][C]-354.157754529219[/C][C]355.157754529219[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]-258.535925986715[/C][C]258.535925986715[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]-161.083061943299[/C][C]162.083061943299[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]-303.13196529603[/C][C]304.13196529603[/C][/ROW]
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[ROW][C]159[/C][C]0[/C][C]-297.632945073789[/C][C]297.632945073789[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]328.952753064315[/C][C]-327.952753064315[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]-321.272376308552[/C][C]322.272376308552[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]-376.036123646575[/C][C]376.036123646575[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]-268.153922723674[/C][C]269.153922723674[/C][/ROW]
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[ROW][C]166[/C][C]1[/C][C]237.899830527419[/C][C]-236.899830527419[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]-319.997911920555[/C][C]320.997911920555[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]-660.850148128153[/C][C]661.850148128153[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]-215.404984654819[/C][C]216.404984654819[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]620.206295192763[/C][C]-620.206295192763[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]196.286746971766[/C][C]-196.286746971766[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]-124.932345139274[/C][C]125.932345139274[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]73.3090202270996[/C][C]-73.3090202270996[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]-492.248872115629[/C][C]493.248872115629[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]-34.4909131813125[/C][C]35.4909131813125[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
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[ROW][C]180[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]487.209193402988[/C][C]-486.209193402988[/C][/ROW]
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[ROW][C]183[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]-314.399428284019[/C][C]314.399428284019[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]-314.774184754549[/C][C]315.774184754549[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]-303.806476049745[/C][C]304.806476049745[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]-272.804343944981[/C][C]273.804343944981[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]-2419.86347886148[/C][C]2420.86347886148[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]-314.084776635185[/C][C]315.084776635185[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]-279.620455417273[/C][C]280.620455417273[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]-314.844190966783[/C][C]315.844190966783[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]-171.625324452537[/C][C]172.625324452537[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]288.349904643021[/C][C]-288.349904643021[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]-546.407792359473[/C][C]546.407792359473[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]-314.399428284019[/C][C]314.399428284019[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]-242.368111032007[/C][C]242.368111032007[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]-314.399428284019[/C][C]314.399428284019[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]-320.740922222055[/C][C]321.740922222055[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]58.4255404842595[/C][C]-58.4255404842595[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]-35.9547141554727[/C][C]36.9547141554727[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]43.4623428081765[/C][C]-42.4623428081765[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]-411.522627720438[/C][C]411.522627720438[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]227.217281593301[/C][C]-227.217281593301[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]-154.926637010321[/C][C]155.926637010321[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]-303.773297528449[/C][C]304.773297528449[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]-351.658169749221[/C][C]352.658169749221[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]1026.03639200393[/C][C]-1025.03639200393[/C][/ROW]
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[ROW][C]291[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
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[ROW][C]324[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
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[ROW][C]330[/C][C]1[/C][C]-40.7899477918278[/C][C]41.7899477918278[/C][/ROW]
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[ROW][C]380[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
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[ROW][C]383[/C][C]1[/C][C]-110.386776205356[/C][C]111.386776205356[/C][/ROW]
[ROW][C]384[/C][C]1[/C][C]-282.412626291426[/C][C]283.412626291426[/C][/ROW]
[ROW][C]385[/C][C]1[/C][C]-312.523169514442[/C][C]313.523169514442[/C][/ROW]
[ROW][C]386[/C][C]0[/C][C]-351.350550716907[/C][C]351.350550716907[/C][/ROW]
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[ROW][C]390[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]391[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]392[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]393[/C][C]1[/C][C]-94.3249936738935[/C][C]95.3249936738935[/C][/ROW]
[ROW][C]394[/C][C]1[/C][C]-327.492088147407[/C][C]328.492088147407[/C][/ROW]
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[ROW][C]396[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]397[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]398[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]399[/C][C]1[/C][C]-329.270078176866[/C][C]330.270078176866[/C][/ROW]
[ROW][C]400[/C][C]1[/C][C]263.038748149016[/C][C]-262.038748149016[/C][/ROW]
[ROW][C]401[/C][C]0[/C][C]298.501139882177[/C][C]-298.501139882177[/C][/ROW]
[ROW][C]402[/C][C]1[/C][C]-43.4788159051382[/C][C]44.4788159051382[/C][/ROW]
[ROW][C]403[/C][C]1[/C][C]-403.279016527257[/C][C]404.279016527257[/C][/ROW]
[ROW][C]404[/C][C]1[/C][C]346.252845848463[/C][C]-345.252845848463[/C][/ROW]
[ROW][C]405[/C][C]1[/C][C]-291.064905644[/C][C]292.064905644[/C][/ROW]
[ROW][C]406[/C][C]1[/C][C]-324.185865278243[/C][C]325.185865278243[/C][/ROW]
[ROW][C]407[/C][C]0[/C][C]-317.977093021815[/C][C]317.977093021815[/C][/ROW]
[ROW][C]408[/C][C]1[/C][C]57.1874204516557[/C][C]-56.1874204516557[/C][/ROW]
[ROW][C]409[/C][C]1[/C][C]181.87885538387[/C][C]-180.87885538387[/C][/ROW]
[ROW][C]410[/C][C]1[/C][C]467.428738459294[/C][C]-466.428738459294[/C][/ROW]
[ROW][C]411[/C][C]1[/C][C]-295.690257905448[/C][C]296.690257905448[/C][/ROW]
[ROW][C]412[/C][C]0[/C][C]-314.399428284019[/C][C]314.399428284019[/C][/ROW]
[ROW][C]413[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]414[/C][C]1[/C][C]-205.255459590013[/C][C]206.255459590013[/C][/ROW]
[ROW][C]415[/C][C]1[/C][C]-322.939174018042[/C][C]323.939174018042[/C][/ROW]
[ROW][C]416[/C][C]0[/C][C]-331.737334347204[/C][C]331.737334347204[/C][/ROW]
[ROW][C]417[/C][C]1[/C][C]1381.26289869804[/C][C]-1380.26289869804[/C][/ROW]
[ROW][C]418[/C][C]1[/C][C]-59.2731183640989[/C][C]60.273118364099[/C][/ROW]
[ROW][C]419[/C][C]1[/C][C]-314.437657630322[/C][C]315.437657630322[/C][/ROW]
[ROW][C]420[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]421[/C][C]1[/C][C]-320.595144764717[/C][C]321.595144764717[/C][/ROW]
[ROW][C]422[/C][C]0[/C][C]-649.90364545437[/C][C]649.90364545437[/C][/ROW]
[ROW][C]423[/C][C]1[/C][C]1785.78497974364[/C][C]-1784.78497974364[/C][/ROW]
[ROW][C]424[/C][C]1[/C][C]-322.804049984493[/C][C]323.804049984493[/C][/ROW]
[ROW][C]425[/C][C]1[/C][C]-217.822014768834[/C][C]218.822014768834[/C][/ROW]
[ROW][C]426[/C][C]0[/C][C]-494.740554925782[/C][C]494.740554925782[/C][/ROW]
[ROW][C]427[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]428[/C][C]1[/C][C]-147.90794562235[/C][C]148.90794562235[/C][/ROW]
[ROW][C]429[/C][C]1[/C][C]-215.229681960086[/C][C]216.229681960086[/C][/ROW]
[ROW][C]430[/C][C]1[/C][C]-314.399428284019[/C][C]315.399428284019[/C][/ROW]
[ROW][C]431[/C][C]1[/C][C]-376.516143842548[/C][C]377.516143842548[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116946&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116946&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
10392.161589639236-392.161589639236
2391058.75638373172-1019.75638373172
30453.170872425406-453.170872425406
40804.92605040037-804.92605040037
5305-55.7594782798167360.759478279817
6-9270.023578127394-279.023578127394
7-1320.923518169805-321.923518169805
80463.145307402818-463.145307402818
90588.851294198791-588.851294198791
100401.833935795067-401.833935795067
1133775.399250569168-742.399250569168
1232796.93466508348-764.93466508348
130470.534447519573-470.534447519573
140322.554940423854-322.554940423854
150429.242717654423-429.242717654423
160312.140875840281-312.140875840281
170468.31763022164-468.31763022164
180484.750901266501-484.750901266501
190481.983255203111-481.983255203111
200460.021926068741-460.021926068741
210470.534447519573-470.534447519573
220358.345736790049-358.345736790049
230470.534447519573-470.534447519573
24-31033.00955282774-1036.00955282774
256711.236568183422-705.236568183422
260450.766317710219-450.766317710219
270356.234782704918-356.234782704918
2870620.784527143087-550.784527143087
290470.534447519573-470.534447519573
305539.495779106413-534.495779106413
31-5-139.895213885092134.895213885092
320470.534447519573-470.534447519573
330538.008522588833-538.008522588833
34581518.55264553999-1460.55264553999
3537258.601329125937-221.601329125937
36933.2183041008218-24.2183041008218
370468.01521986493-468.01521986493
38-31106.010867936827-137.010867936827
3928653595.39052985095-730.390529850948
400660.30755393142-660.30755393142
41141054.42914866612-1040.42914866612
420773.721106152143-773.721106152143
4332702.819992072852-670.819992072852
440470.534447519573-470.534447519573
450355.117564202154-355.117564202154
46-4347.445280615949-351.445280615949
470470.534447519573-470.534447519573
480427.914067254791-427.914067254791
4974569.471348724246-495.471348724246
5020810.683091193027-790.683091193027
51247541.73267413451-294.73267413451
5211642.921464775982-631.921464775982
53-6159.302130296949-165.302130296949
54284898.088709361266-614.088709361266
558194024.67756519533-3205.67756519533
566521665.67512391794-1013.67512391794
570450.976561243576-450.976561243576
58109.773979539790880.226020460209117
5922336.204613806296-314.204613806296
600470.534447519573-470.534447519573
610470.534447519573-470.534447519573
6216330.681010921106-314.681010921106
63-3-107.926806762992104.926806762992
640472.308528406998-472.308528406998
6510-720.828080499067730.828080499067
660465.041939814662-465.041939814662
6773476.421972718915-403.421972718915
680515.65660814861-515.65660814861
690373.683287826835-373.683287826835
700470.534447519573-470.534447519573
7119745352.6463520053-3378.6463520053
72-129-426.70096815585297.70096815585
732832819556.72455211928771.27544788082
740470.534447519573-470.534447519573
750519.998096324366-519.998096324366
760530.679602937103-530.679602937103
770580.595642417131-580.595642417131
780458.469242816082-458.469242816082
79238-827.4420485430661065.44204854307
8030403220.95835794046-180.958357940457
810467.673261736701-467.673261736701
820470.534447519573-470.534447519573
830470.534447519573-470.534447519573
841503.201464658482-502.201464658482
850470.534447519573-470.534447519573
860470.544947552081-470.544947552081
870460.350726865377-460.350726865377
880470.23627391502-470.23627391502
890374.272275693352-374.272275693352
900569.535375644293-569.535375644293
910470.544947552081-470.544947552081
920359.270653721723-359.270653721723
9319102844.14580115517-934.145801155167
9438-507.014551316143545.014551316143
950505.247660964058-505.247660964058
960546.944183263638-546.944183263638
970470.534447519573-470.534447519573
980451.24474674353-451.24474674353
990477.80182492085-477.80182492085
1000250.867904675681-250.867904675681
101171048.29819593311-1031.29819593311
1020377.941842861579-377.941842861579
1030476.320626016224-476.320626016224
1040470.349466985807-470.349466985807
1050470.534447519573-470.534447519573
106-366-2343.881003043341977.88100304334
1070390.369703387268-390.369703387268
10829644695.18248455928-1731.18248455928
1090336.826526271666-336.826526271666
1100458.257105784928-458.257105784928
11136512.632957745068-476.632957745068
112-8-168.531598681635160.531598681635
1130470.534447519573-470.534447519573
114-5441.615163043315-446.615163043315
1150470.544947552081-470.544947552081
1160416.755109197176-416.755109197176
11738798.3086407563-760.308640756301
1186012497.020815899-1896.020815899
1191322142.22248423078-2010.22248423078
120661405.97152740084-1339.97152740084
1210-87.0682503682387.06825036823
1220470.534447519573-470.534447519573
1231952264.85864649608-2069.85864649608
12419758.164550499225-739.164550499225
125-158-177.01672859384719.0167285938472
1260470.544947552081-470.544947552081
1270449.82603210858-449.82603210858
1280470.534447519573-470.534447519573
129-70-1783.720909732251713.72090973225
13013399.091560357517-386.091560357517
1313515.708614909894-512.708614909894
1320470.544947552081-470.544947552081
1330470.544947552081-470.544947552081
1340470.544947552081-470.544947552081
1350459.931909039703-459.931909039703
1361410.373191408919-409.373191408919
1371-314.399428284019315.399428284019
1380-271.97933636191271.97933636191
1391-314.399428284019315.399428284019
1401-314.399428284019315.399428284019
1410100.833647776961-100.833647776961
1421-821.458061203126822.458061203126
1431-314.399428284019315.399428284019
1440-314.399428284019314.399428284019
1450-324.629189383017324.629189383017
1461-314.399428284019315.399428284019
1471-324.517879309177325.517879309177
1480-397.911237272461397.911237272461
1491-246.248310252208247.248310252208
1500-314.399428284019314.399428284019
1511-314.399428284019315.399428284019
1521-344.540681954948345.540681954948
1531-314.399428284019315.399428284019
1541-354.157754529219355.157754529219
1550-258.535925986715258.535925986715
1561-161.083061943299162.083061943299
1571-303.13196529603304.13196529603
1581-314.399428284019315.399428284019
1590-297.632945073789297.632945073789
1601328.952753064315-327.952753064315
1611-321.272376308552322.272376308552
1621-314.399428284019315.399428284019
1630-376.036123646575376.036123646575
1641-268.153922723674269.153922723674
1650-314.399428284019314.399428284019
1661237.899830527419-236.899830527419
1671-314.399428284019315.399428284019
1681-319.997911920555320.997911920555
1691-660.850148128153661.850148128153
1701-215.404984654819216.404984654819
1710620.206295192763-620.206295192763
1720196.286746971766-196.286746971766
1731-124.932345139274125.932345139274
174073.3090202270996-73.3090202270996
1751-492.248872115629493.248872115629
1761-34.490913181312535.4909131813125
1771-314.399428284019315.399428284019
1781-316.012544399768317.012544399768
1790-307.533307202249307.533307202249
1801-314.399428284019315.399428284019
1811487.209193402988-486.209193402988
1821276.964117909527-275.964117909527
1831-314.399428284019315.399428284019
1840-314.399428284019314.399428284019
1851-314.399428284019315.399428284019
1861-314.774184754549315.774184754549
1871-303.806476049745304.806476049745
1881-272.804343944981273.804343944981
1891-2419.863478861482420.86347886148
1901-314.399428284019315.399428284019
1911-314.084776635185315.084776635185
1921-279.620455417273280.620455417273
1931-314.399428284019315.399428284019
1941-314.844190966783315.844190966783
1951-171.625324452537172.625324452537
1961-314.399428284019315.399428284019
1970288.349904643021-288.349904643021
1980-546.407792359473546.407792359473
1991-314.399428284019315.399428284019
2000-314.399428284019314.399428284019
2010-242.368111032007242.368111032007
2020-314.399428284019314.399428284019
2031-314.399428284019315.399428284019
2041-320.740922222055321.740922222055
2051-314.399428284019315.399428284019
206058.4255404842595-58.4255404842595
2071-35.954714155472736.9547141554727
2081-314.399428284019315.399428284019
209143.4623428081765-42.4623428081765
2100-411.522627720438411.522627720438
2110227.217281593301-227.217281593301
2121-154.926637010321155.926637010321
2131-303.773297528449304.773297528449
2141-351.658169749221352.658169749221
21511026.03639200393-1025.03639200393
2160-139.501557713021139.501557713021
2171-301.696894496259302.696894496259
2180-314.399428284019314.399428284019
2191-209.884380896425210.884380896425
2201470.141823228575-469.141823228575
2211-313.051846691226314.051846691226
2221-314.399428284019315.399428284019
2231-327.625927292086328.625927292086
2241-290.057247633544291.057247633544
2251-350.748735723407351.748735723407
226159.8305535168233-58.8305535168233
2271-314.399428284019315.399428284019
22812766.83635903626-2765.83635903626
2291-158.264563404407159.264563404407
2301-261.005503386769262.005503386769
23113006.35180616167-3005.35180616167
2320-381.874155638653381.874155638653
2331211.02223908254-210.02223908254
2341-314.399428284019315.399428284019
2351-316.012783441251317.012783441251
2361-189.43653701427190.43653701427
2371-388.956657424086389.956657424086
2381-314.399428284019315.399428284019
2391-314.399428284019315.399428284019
2400-296.462152623071296.462152623071
2411-136.240142862109137.240142862109
2420-64.844867229268764.8448672292687
2431-314.399428284019315.399428284019
2441-321.009820142933322.009820142933
2451-485.77218812652486.77218812652
2461-691.084275112021692.084275112021
2471-314.399428284019315.399428284019
2481-329.768859133046330.768859133046
2491-314.399428284019315.399428284019
2500-315.0736408941315.0736408941
2511-314.399428284019315.399428284019
2520-74.469166655268374.4691666552683
2531-314.399428284019315.399428284019
2540-314.399428284019314.399428284019
2551-314.399428284019315.399428284019
2561-314.399428284019315.399428284019
2571-314.399428284019315.399428284019
2581-314.399428284019315.399428284019
2591-6.635958585997097.63595858599709
260132.0356060609078-31.0356060609078
2611-455.7097839524456.7097839524
2620-621.180529872689621.180529872689
2630-217.985129181294217.985129181294
2641454.926565849864-453.926565849864
2651-193.374396276692194.374396276692
2661-314.399428284019315.399428284019
2671-315.384316159257316.384316159257
2681-314.399428284019315.399428284019
2691-178.372205034726179.372205034726
2701-312.500896640269313.500896640269
2711-314.399428284019315.399428284019
2721-314.399428284019315.399428284019
2731-207.212601143572208.212601143572
2741-311.82241999192312.82241999192
2750-325.694242766818325.694242766818
2760-455.965087865033455.965087865033
2771-314.768681745057315.768681745057
2781-334.040422469637335.040422469637
2791-356.003496325609357.003496325609
2801-324.485391978498325.485391978498
2810-321.880985183283321.880985183283
2821-323.183254411324324.183254411324
2831-314.399428284019315.399428284019
2841-276.468335817003277.468335817003
2851-314.798736116294315.798736116294
2861-333.86659277056334.86659277056
2871-314.399428284019315.399428284019
2881-215.789383012655216.789383012655
2890-740.500774960777740.500774960777
2900-1520.264647347281520.26464734728
2911-314.399428284019315.399428284019
2921-322.051280730177323.051280730177
2931-314.399428284019315.399428284019
2941-277.003120531991278.003120531991
2951-313.157286402018314.157286402018
2961-314.15443137293315.15443137293
2970-314.399428284019314.399428284019
2980-1238.872089706941238.87208970694
2990-314.399428284019314.399428284019
3000-314.399428284019314.399428284019
3010-650.554079071496650.554079071496
3021-246.780498027495247.780498027495
3031301.301559101591-300.301559101591
3041-307.094290907234308.094290907234
3051-254.535844065105255.535844065105
3061-324.888613260102325.888613260102
3071394.288484118951-393.288484118951
3081-314.399428284019315.399428284019
3091-314.399428284019315.399428284019
3100-314.629750245281314.629750245281
3111-314.399428284019315.399428284019
3120-50.194214537040250.1942145370402
3131-272.041104757152273.041104757152
3141-312.449231509914313.449231509914
3151-216.83442566915217.83442566915
3160-97.04588156594197.045881565941
3171556.375516682799-555.375516682799
3180-351.729482561242351.729482561242
3191-314.399428284019315.399428284019
3201-208.537055443447209.537055443447
3211-313.496161842999314.496161842999
3221-335.502457222418336.502457222418
323111.4298296614225-10.4298296614225
3241-314.399428284019315.399428284019
3251419.889138895932-418.889138895932
3261-314.399428284019315.399428284019
3270750.719971850503-750.719971850503
32811013.21363823323-1012.21363823323
3290-1177.955088681691177.95508868169
3301-40.789947791827841.7899477918278
3311-152.532648775777153.532648775777
3320-314.399428284019314.399428284019
3330-314.399428284019314.399428284019
33401482.46295698684-1482.46295698684
3351-119.41442741643120.41442741643
3361-314.399428284019315.399428284019
3371111.304624280653-110.304624280653
3381267.937273984025-266.937273984025
3390-314.399428284019314.399428284019
3401-314.399428284019315.399428284019
3411256.205840203805-255.205840203805
3421-306.55398699297307.55398699297
3431-314.399428284019315.399428284019
344164.5229823466867-63.5229823466867
3450-314.399428284019314.399428284019
3461-61.026323344187862.0263233441878
3471-305.008379188889306.008379188889
3481-521.204876125449522.204876125449
3491-314.399428284019315.399428284019
3501-324.7692883052325.7692883052
3511-314.399428284019315.399428284019
3520-314.399428284019314.399428284019
3531-314.160288269701315.160288269701
3541-314.399428284019315.399428284019
3550-180.404050352284180.404050352284
3561-314.399428284019315.399428284019
3570-314.399428284019314.399428284019
3581-314.399428284019315.399428284019
3590-314.399428284019314.399428284019
3600673.007133367537-673.007133367537
3611932.626644241804-931.626644241804
3621-614.930796929475615.930796929475
3630-382.332980511048382.332980511048
364146.3781509790232-45.3781509790232
3651-341.870129112094342.870129112094
3661-538.339874088864539.339874088864
3671-328.331364579407329.331364579407
3681-320.369414329693321.369414329693
3690-314.399428284019314.399428284019
3701-299.612881954168300.612881954168
3711405.897863767509-404.897863767509
3721-354.708760563268355.708760563268
3731-287.357265382254288.357265382254
3740-116.748822630994116.748822630994
3751-289.851048928249290.851048928249
3760200.605980490206-200.605980490206
377048.7009040532558-48.7009040532558
3781-53.318196156870854.3181961568708
3791-268.893879145218269.893879145218
3801-314.399428284019315.399428284019
3811-241.991912300678242.991912300678
3820-250.992292706352250.992292706352
3831-110.386776205356111.386776205356
3841-282.412626291426283.412626291426
3851-312.523169514442313.523169514442
3860-351.350550716907351.350550716907
3870-348.209657197756348.209657197756
3881-314.399428284019315.399428284019
3890-314.399428284019314.399428284019
3901-314.399428284019315.399428284019
3911-314.399428284019315.399428284019
3921-314.399428284019315.399428284019
3931-94.324993673893595.3249936738935
3941-327.492088147407328.492088147407
3950-314.399428284019314.399428284019
3961-314.399428284019315.399428284019
3971-314.399428284019315.399428284019
3981-314.399428284019315.399428284019
3991-329.270078176866330.270078176866
4001263.038748149016-262.038748149016
4010298.501139882177-298.501139882177
4021-43.478815905138244.4788159051382
4031-403.279016527257404.279016527257
4041346.252845848463-345.252845848463
4051-291.064905644292.064905644
4061-324.185865278243325.185865278243
4070-317.977093021815317.977093021815
408157.1874204516557-56.1874204516557
4091181.87885538387-180.87885538387
4101467.428738459294-466.428738459294
4111-295.690257905448296.690257905448
4120-314.399428284019314.399428284019
4131-314.399428284019315.399428284019
4141-205.255459590013206.255459590013
4151-322.939174018042323.939174018042
4160-331.737334347204331.737334347204
41711381.26289869804-1380.26289869804
4181-59.273118364098960.273118364099
4191-314.437657630322315.437657630322
4201-314.399428284019315.399428284019
4211-320.595144764717321.595144764717
4220-649.90364545437649.90364545437
42311785.78497974364-1784.78497974364
4241-322.804049984493323.804049984493
4251-217.822014768834218.822014768834
4260-494.740554925782494.740554925782
4271-314.399428284019315.399428284019
4281-147.90794562235148.90794562235
4291-215.229681960086216.229681960086
4301-314.399428284019315.399428284019
4311-376.516143842548377.516143842548







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
91.67734628837167e-053.35469257674335e-050.999983226537116
103.45188719187019e-076.90377438374038e-070.99999965481128
111.07878322560818e-082.15756645121636e-080.999999989212168
122.5092975289036e-105.01859505780719e-100.99999999974907
134.96314526113728e-129.92629052227457e-120.999999999995037
149.03972793174385e-131.80794558634877e-120.999999999999096
151.93860383833462e-143.87720767666923e-140.99999999999998
167.69109808244282e-161.53821961648856e-151
172.01541663742806e-174.03083327485611e-171
185.34572998516652e-191.0691459970333e-181
191.16328548691871e-202.32657097383743e-201
202.30044103760478e-224.60088207520957e-221
214.48879952569199e-248.97759905138398e-241
223.29806992388194e-256.59613984776389e-251
236.45486994433587e-271.29097398886717e-261
244.87919756558502e-289.75839513117003e-281
251.18989057242385e-272.37978114484771e-271
263.03503907052474e-296.07007814104948e-291
278.41473070216303e-301.68294614043261e-291
284.04757510897946e-308.09515021795892e-301
291.2128800843342e-312.4257601686684e-311
306.47215701526509e-331.29443140305302e-321
316.71454996851309e-311.34290999370262e-301
322.69659920145809e-325.39319840291619e-321
331.11897849016524e-332.23795698033049e-331
345.8071405013794e-351.16142810027588e-341
352.68846960179442e-365.37693920358884e-361
369.20937394333993e-361.84187478866799e-351
374.03260502882417e-378.06521005764833e-371
385.12713589513073e-381.02542717902615e-371
399.24086493813322e-281.84817298762664e-271
401.66522686832465e-283.3304537366493e-281
415.40061268438684e-291.08012253687737e-281
421.68992449153925e-293.3798489830785e-291
431.7812978064154e-303.56259561283081e-301
441.86970788619983e-313.73941577239967e-311
457.35750996934654e-311.47150199386931e-301
467.92491337494022e-321.58498267498804e-311
478.77565529380716e-331.75513105876143e-321
489.69265261434604e-341.93853052286921e-331
491.2346568316692e-342.46931366333841e-341
501.60258105688699e-353.20516211377399e-351
512.7481690874432e-255.49633817488641e-251
527.02401897253754e-261.40480379450751e-251
536.05255933074003e-261.21051186614801e-251
546.07439780819159e-251.21487956163832e-241
555.20702092932007e-231.04140418586401e-221
561.45718694231479e-202.91437388462958e-201
573.94497706335879e-217.88995412671759e-211
582.36286623110038e-214.72573246220076e-211
596.64510740214778e-221.32902148042956e-211
601.80275788243146e-223.60551576486292e-221
614.86348036694445e-239.7269607338889e-231
621.25857978660216e-232.51715957320432e-231
636.88470171847881e-241.37694034369576e-231
641.8462801664473e-243.6925603328946e-241
652.61607426505754e-245.23214853011509e-241
667.13037829962448e-251.4260756599249e-241
671.92866129515585e-253.85732259031169e-251
686.4780621551452e-261.29561243102904e-251
691.72195654731643e-263.44391309463285e-261
704.64639031793846e-279.29278063587691e-271
711.30047147633615e-252.6009429526723e-251
723.64735973998002e-267.29471947996003e-261
7312.7627724020061e-1461.38138620100305e-146
7411.77988547918952e-1458.89942739594758e-146
7515.72766642278802e-1452.86383321139401e-145
7613.14485437304272e-1441.57242718652136e-144
7711.25769770634066e-1436.28848853170329e-144
7817.24103294136564e-1433.62051647068282e-143
7914.23110626134632e-1462.11555313067316e-146
8018.34891644108267e-1534.17445822054134e-153
8115.10139982058244e-1522.55069991029122e-152
8213.07005922070586e-1511.53502961035293e-151
8311.82116951994894e-1509.1058475997447e-151
8415.13591249071924e-1502.56795624535962e-150
8512.94352523809859e-1491.4717626190493e-149
8611.61163812861292e-1488.05819064306461e-149
8718.87443280327963e-1484.43721640163981e-148
8814.8461234372428e-1472.4230617186214e-147
8912.55163941747744e-1461.27581970873872e-146
9011.18284823925528e-1455.9142411962764e-146
9115.96043655878563e-1452.98021827939282e-145
9213.16032030953998e-1441.58016015476999e-144
9311.8103107699819e-1539.05155384990948e-154
9411.6323602098063e-1548.16180104903151e-155
9518.2110257441718e-1544.1055128720859e-154
9614.00738542195082e-1532.00369271097541e-153
9712.12080967802312e-1521.06040483901156e-152
9811.0626335224508e-1515.313167612254e-152
9915.03107653135558e-1512.51553826567779e-151
10012.72716445924203e-1501.36358222962102e-150
10115.7556443079727e-1512.87782215398635e-151
10212.72636084135468e-1501.36318042067734e-150
10311.2032047513739e-1496.01602375686949e-150
10415.2540515760442e-1492.6270257880221e-149
10512.23127084554341e-1481.11563542277171e-148
10615.96588086216494e-1632.98294043108247e-163
10711.99527832304869e-1629.97639161524345e-163
108100
109100
11019.88131291682493e-3244.94065645841247e-324
11111.28457067918724e-3226.4228533959362e-323
11212.66795448754273e-3221.33397724377137e-322
11311.33397724377137e-3216.66988621885683e-322
11414.55528525465629e-3212.27764262732815e-321
11511.74701612369465e-3208.73508061847324e-321
11616.54044101964642e-3203.27022050982321e-320
11715.74499532984201e-3192.87249766492101e-319
118100
119100
120100
121100
122100
123100
124100
125100
126100
127100
128100
129100
130100
131100
132100
133100
134100
135100
136100
137100
138100
139100
140100
141100
142100
143100
144100
145100
146100
147100
148100
149100
150100
151100
152100
153100
154100
155100
156100
157100
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
220100
221100
222100
223100
224100
225100
226100
227100
228100
229100
230100
231100
232100
233100
234100
235100
236100
237100
238100
239100
240100
241100
242100
243100
244100
245100
246100
247100
248100
249100
250100
251100
252100
253100
254100
255100
256100
257100
258100
259100
260100
261100
262100
263100
264100
265100
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267100
268100
269100
270100
271100
272100
273100
274100
275100
276100
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278100
279100
280100
281100
282100
283100
284100
285100
286100
287100
288100
289100
290100
291100
292100
293100
294100
295100
296100
297100
298100
299100
300100
301100
302100
303100
304100
305100
306100
307100
308100
309100
310100
311100
312100
313100
314100
315100
316100
317100
31819.88131291682493e-3244.94065645841247e-324
31911.07706310793392e-3205.38531553966959e-321
32011.53162622912757e-3177.65813114563786e-318
32112.29196262501908e-3141.14598131250954e-314
32213.40393839231391e-3111.70196919615696e-311
32315.20809603067178e-3082.60404801533589e-308
32417.60540517921015e-3053.80270258960507e-305
32511.03610370558503e-3015.18051852792517e-302
32611.49499528047337e-2987.47497640236687e-299
32716.47654298266796e-2963.23827149133398e-296
32814.14953964199722e-2932.07476982099861e-293
32912.51157127780496e-2901.25578563890248e-290
33013.69214581581241e-2871.84607290790621e-287
33115.37828670286472e-2842.68914335143236e-284
33212.44543617463017e-2811.22271808731508e-281
33311.05434229400243e-2785.27171147001213e-279
33412.62212090287884e-2761.31106045143942e-276
33514.06866536221196e-2732.03433268110598e-273
33616.04853095921546e-2703.02426547960773e-270
33719.65658755999848e-2674.82829377999924e-267
33811.45835767203262e-2637.29178836016311e-264
33916.1268114255193e-2613.06340571275965e-261
34019.15505921072224e-2584.57752960536112e-258
34111.26140497723792e-2546.30702488618959e-255
34211.8549401382936e-2519.274700691468e-252
34312.72152547740721e-2481.36076273870361e-248
34414.23382608934491e-2452.11691304467245e-245
34511.81661588668544e-2429.08307943342719e-243
34612.71057019424294e-2391.35528509712147e-239
34713.97291466175568e-2361.98645733087784e-236
34814.28889545512334e-2332.14444772756167e-233
34916.20757866670268e-2303.10378933335134e-230
35018.98959751504876e-2274.49479875752438e-227
35111.27887356228798e-2236.39436781143991e-224
35215.76827409258982e-2212.88413704629491e-221
35318.3215614935782e-2184.1607807467891e-218
35411.18893218267763e-2145.94466091338816e-215
35515.77376264299273e-2122.88688132149637e-212
35618.32835234705027e-2094.16417617352514e-209
35713.56812754659338e-2061.78406377329669e-206
35815.22731488705546e-2032.61365744352773e-203
35912.12916180718585e-2001.06458090359293e-200
36013.74187577206786e-1981.87093788603393e-198
36114.97482628057934e-1952.48741314028967e-195
36216.81929306563306e-1923.40964653281653e-192
36312.78850991485013e-1891.39425495742506e-189
36414.55758352739194e-1862.27879176369597e-186
36517.05752577818351e-1833.52876288909176e-183
36611.18582570793252e-1795.92912853966258e-180
36711.91128798146433e-1769.55643990732167e-177
36812.86486314189065e-1731.43243157094533e-173
36911.07995416290949e-1705.39977081454745e-171
37011.29356683061849e-1676.46783415309246e-168
37112.02694879236288e-1641.01347439618144e-164
37212.96519866113367e-1611.48259933056683e-161
37314.53897547950496e-1582.26948773975248e-158
37412.52975064944682e-1551.26487532472341e-155
37513.83313905059568e-1521.91656952529784e-152
37618.93850079883029e-1504.46925039941514e-150
37712.45259726649935e-1471.22629863324968e-147
37813.9579878877118e-1441.9789939438559e-144
37916.3257250181746e-1413.1628625090873e-141
38019.90956739166339e-1384.95478369583169e-138
38111.41043776638984e-1347.0521888319492e-135
38214.46090239440336e-1322.23045119720168e-132
38317.00671408197407e-1293.50335704098704e-129
38411.11850327358389e-1255.59251636791945e-126
38511.74708842386288e-1228.7354421193144e-123
38616.68527237916538e-1203.34263618958269e-120
38712.13894715589941e-1171.0694735779497e-117
38813.57143955396074e-1141.78571977698037e-114
38918.16312505353161e-1124.0815625267658e-112
39011.43308118667782e-1087.1654059333891e-109
39112.47473349996879e-1051.23736674998439e-105
39214.20103630767628e-1022.10051815383814e-102
39317.98266314761288e-993.99133157380644e-99
39411.31648787559612e-956.58243937798058e-96
39513.08096324172884e-931.54048162086442e-93
39615.39058226977817e-902.69529113488909e-90
39719.2483970078099e-874.62419850390495e-87
39811.55447109049409e-837.77235545247046e-84
39912.57394468243805e-801.28697234121903e-80
40014.63068046902705e-772.31534023451353e-77
40117.22347863229717e-753.61173931614858e-75
40217.10691365559262e-723.55345682779631e-72
40311.14883219946691e-685.74416099733455e-69
40411.02195246111104e-655.10976230555521e-66
40511.780567952461e-628.902839762305e-63
40612.69733102797455e-591.34866551398727e-59
40714.67828196857846e-572.33914098428923e-57
40819.48240616534022e-544.74120308267011e-54
40916.77196510789629e-513.38598255394815e-51
41011.39449841064246e-476.9724920532123e-48
41112.54776223125263e-441.27388111562631e-44
41211.30912554422839e-426.54562772114193e-43
41313.32191805683413e-391.66095902841706e-39
41418.20490116109576e-364.10245058054788e-36
41511.16141777454316e-325.8070888727158e-33
41619.27847563709903e-334.63923781854951e-33
41714.30407444428663e-292.15203722214331e-29
41813.30322669752539e-271.6516133487627e-27
41913.02512983817271e-231.51256491908635e-23
42012.58087977263379e-191.29043988631689e-19
4210.9999999999999991.98947395734695e-159.94736978673475e-16
4220.9999999999983493.30257427220262e-121.65128713610131e-12

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 1.67734628837167e-05 & 3.35469257674335e-05 & 0.999983226537116 \tabularnewline
10 & 3.45188719187019e-07 & 6.90377438374038e-07 & 0.99999965481128 \tabularnewline
11 & 1.07878322560818e-08 & 2.15756645121636e-08 & 0.999999989212168 \tabularnewline
12 & 2.5092975289036e-10 & 5.01859505780719e-10 & 0.99999999974907 \tabularnewline
13 & 4.96314526113728e-12 & 9.92629052227457e-12 & 0.999999999995037 \tabularnewline
14 & 9.03972793174385e-13 & 1.80794558634877e-12 & 0.999999999999096 \tabularnewline
15 & 1.93860383833462e-14 & 3.87720767666923e-14 & 0.99999999999998 \tabularnewline
16 & 7.69109808244282e-16 & 1.53821961648856e-15 & 1 \tabularnewline
17 & 2.01541663742806e-17 & 4.03083327485611e-17 & 1 \tabularnewline
18 & 5.34572998516652e-19 & 1.0691459970333e-18 & 1 \tabularnewline
19 & 1.16328548691871e-20 & 2.32657097383743e-20 & 1 \tabularnewline
20 & 2.30044103760478e-22 & 4.60088207520957e-22 & 1 \tabularnewline
21 & 4.48879952569199e-24 & 8.97759905138398e-24 & 1 \tabularnewline
22 & 3.29806992388194e-25 & 6.59613984776389e-25 & 1 \tabularnewline
23 & 6.45486994433587e-27 & 1.29097398886717e-26 & 1 \tabularnewline
24 & 4.87919756558502e-28 & 9.75839513117003e-28 & 1 \tabularnewline
25 & 1.18989057242385e-27 & 2.37978114484771e-27 & 1 \tabularnewline
26 & 3.03503907052474e-29 & 6.07007814104948e-29 & 1 \tabularnewline
27 & 8.41473070216303e-30 & 1.68294614043261e-29 & 1 \tabularnewline
28 & 4.04757510897946e-30 & 8.09515021795892e-30 & 1 \tabularnewline
29 & 1.2128800843342e-31 & 2.4257601686684e-31 & 1 \tabularnewline
30 & 6.47215701526509e-33 & 1.29443140305302e-32 & 1 \tabularnewline
31 & 6.71454996851309e-31 & 1.34290999370262e-30 & 1 \tabularnewline
32 & 2.69659920145809e-32 & 5.39319840291619e-32 & 1 \tabularnewline
33 & 1.11897849016524e-33 & 2.23795698033049e-33 & 1 \tabularnewline
34 & 5.8071405013794e-35 & 1.16142810027588e-34 & 1 \tabularnewline
35 & 2.68846960179442e-36 & 5.37693920358884e-36 & 1 \tabularnewline
36 & 9.20937394333993e-36 & 1.84187478866799e-35 & 1 \tabularnewline
37 & 4.03260502882417e-37 & 8.06521005764833e-37 & 1 \tabularnewline
38 & 5.12713589513073e-38 & 1.02542717902615e-37 & 1 \tabularnewline
39 & 9.24086493813322e-28 & 1.84817298762664e-27 & 1 \tabularnewline
40 & 1.66522686832465e-28 & 3.3304537366493e-28 & 1 \tabularnewline
41 & 5.40061268438684e-29 & 1.08012253687737e-28 & 1 \tabularnewline
42 & 1.68992449153925e-29 & 3.3798489830785e-29 & 1 \tabularnewline
43 & 1.7812978064154e-30 & 3.56259561283081e-30 & 1 \tabularnewline
44 & 1.86970788619983e-31 & 3.73941577239967e-31 & 1 \tabularnewline
45 & 7.35750996934654e-31 & 1.47150199386931e-30 & 1 \tabularnewline
46 & 7.92491337494022e-32 & 1.58498267498804e-31 & 1 \tabularnewline
47 & 8.77565529380716e-33 & 1.75513105876143e-32 & 1 \tabularnewline
48 & 9.69265261434604e-34 & 1.93853052286921e-33 & 1 \tabularnewline
49 & 1.2346568316692e-34 & 2.46931366333841e-34 & 1 \tabularnewline
50 & 1.60258105688699e-35 & 3.20516211377399e-35 & 1 \tabularnewline
51 & 2.7481690874432e-25 & 5.49633817488641e-25 & 1 \tabularnewline
52 & 7.02401897253754e-26 & 1.40480379450751e-25 & 1 \tabularnewline
53 & 6.05255933074003e-26 & 1.21051186614801e-25 & 1 \tabularnewline
54 & 6.07439780819159e-25 & 1.21487956163832e-24 & 1 \tabularnewline
55 & 5.20702092932007e-23 & 1.04140418586401e-22 & 1 \tabularnewline
56 & 1.45718694231479e-20 & 2.91437388462958e-20 & 1 \tabularnewline
57 & 3.94497706335879e-21 & 7.88995412671759e-21 & 1 \tabularnewline
58 & 2.36286623110038e-21 & 4.72573246220076e-21 & 1 \tabularnewline
59 & 6.64510740214778e-22 & 1.32902148042956e-21 & 1 \tabularnewline
60 & 1.80275788243146e-22 & 3.60551576486292e-22 & 1 \tabularnewline
61 & 4.86348036694445e-23 & 9.7269607338889e-23 & 1 \tabularnewline
62 & 1.25857978660216e-23 & 2.51715957320432e-23 & 1 \tabularnewline
63 & 6.88470171847881e-24 & 1.37694034369576e-23 & 1 \tabularnewline
64 & 1.8462801664473e-24 & 3.6925603328946e-24 & 1 \tabularnewline
65 & 2.61607426505754e-24 & 5.23214853011509e-24 & 1 \tabularnewline
66 & 7.13037829962448e-25 & 1.4260756599249e-24 & 1 \tabularnewline
67 & 1.92866129515585e-25 & 3.85732259031169e-25 & 1 \tabularnewline
68 & 6.4780621551452e-26 & 1.29561243102904e-25 & 1 \tabularnewline
69 & 1.72195654731643e-26 & 3.44391309463285e-26 & 1 \tabularnewline
70 & 4.64639031793846e-27 & 9.29278063587691e-27 & 1 \tabularnewline
71 & 1.30047147633615e-25 & 2.6009429526723e-25 & 1 \tabularnewline
72 & 3.64735973998002e-26 & 7.29471947996003e-26 & 1 \tabularnewline
73 & 1 & 2.7627724020061e-146 & 1.38138620100305e-146 \tabularnewline
74 & 1 & 1.77988547918952e-145 & 8.89942739594758e-146 \tabularnewline
75 & 1 & 5.72766642278802e-145 & 2.86383321139401e-145 \tabularnewline
76 & 1 & 3.14485437304272e-144 & 1.57242718652136e-144 \tabularnewline
77 & 1 & 1.25769770634066e-143 & 6.28848853170329e-144 \tabularnewline
78 & 1 & 7.24103294136564e-143 & 3.62051647068282e-143 \tabularnewline
79 & 1 & 4.23110626134632e-146 & 2.11555313067316e-146 \tabularnewline
80 & 1 & 8.34891644108267e-153 & 4.17445822054134e-153 \tabularnewline
81 & 1 & 5.10139982058244e-152 & 2.55069991029122e-152 \tabularnewline
82 & 1 & 3.07005922070586e-151 & 1.53502961035293e-151 \tabularnewline
83 & 1 & 1.82116951994894e-150 & 9.1058475997447e-151 \tabularnewline
84 & 1 & 5.13591249071924e-150 & 2.56795624535962e-150 \tabularnewline
85 & 1 & 2.94352523809859e-149 & 1.4717626190493e-149 \tabularnewline
86 & 1 & 1.61163812861292e-148 & 8.05819064306461e-149 \tabularnewline
87 & 1 & 8.87443280327963e-148 & 4.43721640163981e-148 \tabularnewline
88 & 1 & 4.8461234372428e-147 & 2.4230617186214e-147 \tabularnewline
89 & 1 & 2.55163941747744e-146 & 1.27581970873872e-146 \tabularnewline
90 & 1 & 1.18284823925528e-145 & 5.9142411962764e-146 \tabularnewline
91 & 1 & 5.96043655878563e-145 & 2.98021827939282e-145 \tabularnewline
92 & 1 & 3.16032030953998e-144 & 1.58016015476999e-144 \tabularnewline
93 & 1 & 1.8103107699819e-153 & 9.05155384990948e-154 \tabularnewline
94 & 1 & 1.6323602098063e-154 & 8.16180104903151e-155 \tabularnewline
95 & 1 & 8.2110257441718e-154 & 4.1055128720859e-154 \tabularnewline
96 & 1 & 4.00738542195082e-153 & 2.00369271097541e-153 \tabularnewline
97 & 1 & 2.12080967802312e-152 & 1.06040483901156e-152 \tabularnewline
98 & 1 & 1.0626335224508e-151 & 5.313167612254e-152 \tabularnewline
99 & 1 & 5.03107653135558e-151 & 2.51553826567779e-151 \tabularnewline
100 & 1 & 2.72716445924203e-150 & 1.36358222962102e-150 \tabularnewline
101 & 1 & 5.7556443079727e-151 & 2.87782215398635e-151 \tabularnewline
102 & 1 & 2.72636084135468e-150 & 1.36318042067734e-150 \tabularnewline
103 & 1 & 1.2032047513739e-149 & 6.01602375686949e-150 \tabularnewline
104 & 1 & 5.2540515760442e-149 & 2.6270257880221e-149 \tabularnewline
105 & 1 & 2.23127084554341e-148 & 1.11563542277171e-148 \tabularnewline
106 & 1 & 5.96588086216494e-163 & 2.98294043108247e-163 \tabularnewline
107 & 1 & 1.99527832304869e-162 & 9.97639161524345e-163 \tabularnewline
108 & 1 & 0 & 0 \tabularnewline
109 & 1 & 0 & 0 \tabularnewline
110 & 1 & 9.88131291682493e-324 & 4.94065645841247e-324 \tabularnewline
111 & 1 & 1.28457067918724e-322 & 6.4228533959362e-323 \tabularnewline
112 & 1 & 2.66795448754273e-322 & 1.33397724377137e-322 \tabularnewline
113 & 1 & 1.33397724377137e-321 & 6.66988621885683e-322 \tabularnewline
114 & 1 & 4.55528525465629e-321 & 2.27764262732815e-321 \tabularnewline
115 & 1 & 1.74701612369465e-320 & 8.73508061847324e-321 \tabularnewline
116 & 1 & 6.54044101964642e-320 & 3.27022050982321e-320 \tabularnewline
117 & 1 & 5.74499532984201e-319 & 2.87249766492101e-319 \tabularnewline
118 & 1 & 0 & 0 \tabularnewline
119 & 1 & 0 & 0 \tabularnewline
120 & 1 & 0 & 0 \tabularnewline
121 & 1 & 0 & 0 \tabularnewline
122 & 1 & 0 & 0 \tabularnewline
123 & 1 & 0 & 0 \tabularnewline
124 & 1 & 0 & 0 \tabularnewline
125 & 1 & 0 & 0 \tabularnewline
126 & 1 & 0 & 0 \tabularnewline
127 & 1 & 0 & 0 \tabularnewline
128 & 1 & 0 & 0 \tabularnewline
129 & 1 & 0 & 0 \tabularnewline
130 & 1 & 0 & 0 \tabularnewline
131 & 1 & 0 & 0 \tabularnewline
132 & 1 & 0 & 0 \tabularnewline
133 & 1 & 0 & 0 \tabularnewline
134 & 1 & 0 & 0 \tabularnewline
135 & 1 & 0 & 0 \tabularnewline
136 & 1 & 0 & 0 \tabularnewline
137 & 1 & 0 & 0 \tabularnewline
138 & 1 & 0 & 0 \tabularnewline
139 & 1 & 0 & 0 \tabularnewline
140 & 1 & 0 & 0 \tabularnewline
141 & 1 & 0 & 0 \tabularnewline
142 & 1 & 0 & 0 \tabularnewline
143 & 1 & 0 & 0 \tabularnewline
144 & 1 & 0 & 0 \tabularnewline
145 & 1 & 0 & 0 \tabularnewline
146 & 1 & 0 & 0 \tabularnewline
147 & 1 & 0 & 0 \tabularnewline
148 & 1 & 0 & 0 \tabularnewline
149 & 1 & 0 & 0 \tabularnewline
150 & 1 & 0 & 0 \tabularnewline
151 & 1 & 0 & 0 \tabularnewline
152 & 1 & 0 & 0 \tabularnewline
153 & 1 & 0 & 0 \tabularnewline
154 & 1 & 0 & 0 \tabularnewline
155 & 1 & 0 & 0 \tabularnewline
156 & 1 & 0 & 0 \tabularnewline
157 & 1 & 0 & 0 \tabularnewline
158 & 1 & 0 & 0 \tabularnewline
159 & 1 & 0 & 0 \tabularnewline
160 & 1 & 0 & 0 \tabularnewline
161 & 1 & 0 & 0 \tabularnewline
162 & 1 & 0 & 0 \tabularnewline
163 & 1 & 0 & 0 \tabularnewline
164 & 1 & 0 & 0 \tabularnewline
165 & 1 & 0 & 0 \tabularnewline
166 & 1 & 0 & 0 \tabularnewline
167 & 1 & 0 & 0 \tabularnewline
168 & 1 & 0 & 0 \tabularnewline
169 & 1 & 0 & 0 \tabularnewline
170 & 1 & 0 & 0 \tabularnewline
171 & 1 & 0 & 0 \tabularnewline
172 & 1 & 0 & 0 \tabularnewline
173 & 1 & 0 & 0 \tabularnewline
174 & 1 & 0 & 0 \tabularnewline
175 & 1 & 0 & 0 \tabularnewline
176 & 1 & 0 & 0 \tabularnewline
177 & 1 & 0 & 0 \tabularnewline
178 & 1 & 0 & 0 \tabularnewline
179 & 1 & 0 & 0 \tabularnewline
180 & 1 & 0 & 0 \tabularnewline
181 & 1 & 0 & 0 \tabularnewline
182 & 1 & 0 & 0 \tabularnewline
183 & 1 & 0 & 0 \tabularnewline
184 & 1 & 0 & 0 \tabularnewline
185 & 1 & 0 & 0 \tabularnewline
186 & 1 & 0 & 0 \tabularnewline
187 & 1 & 0 & 0 \tabularnewline
188 & 1 & 0 & 0 \tabularnewline
189 & 1 & 0 & 0 \tabularnewline
190 & 1 & 0 & 0 \tabularnewline
191 & 1 & 0 & 0 \tabularnewline
192 & 1 & 0 & 0 \tabularnewline
193 & 1 & 0 & 0 \tabularnewline
194 & 1 & 0 & 0 \tabularnewline
195 & 1 & 0 & 0 \tabularnewline
196 & 1 & 0 & 0 \tabularnewline
197 & 1 & 0 & 0 \tabularnewline
198 & 1 & 0 & 0 \tabularnewline
199 & 1 & 0 & 0 \tabularnewline
200 & 1 & 0 & 0 \tabularnewline
201 & 1 & 0 & 0 \tabularnewline
202 & 1 & 0 & 0 \tabularnewline
203 & 1 & 0 & 0 \tabularnewline
204 & 1 & 0 & 0 \tabularnewline
205 & 1 & 0 & 0 \tabularnewline
206 & 1 & 0 & 0 \tabularnewline
207 & 1 & 0 & 0 \tabularnewline
208 & 1 & 0 & 0 \tabularnewline
209 & 1 & 0 & 0 \tabularnewline
210 & 1 & 0 & 0 \tabularnewline
211 & 1 & 0 & 0 \tabularnewline
212 & 1 & 0 & 0 \tabularnewline
213 & 1 & 0 & 0 \tabularnewline
214 & 1 & 0 & 0 \tabularnewline
215 & 1 & 0 & 0 \tabularnewline
216 & 1 & 0 & 0 \tabularnewline
217 & 1 & 0 & 0 \tabularnewline
218 & 1 & 0 & 0 \tabularnewline
219 & 1 & 0 & 0 \tabularnewline
220 & 1 & 0 & 0 \tabularnewline
221 & 1 & 0 & 0 \tabularnewline
222 & 1 & 0 & 0 \tabularnewline
223 & 1 & 0 & 0 \tabularnewline
224 & 1 & 0 & 0 \tabularnewline
225 & 1 & 0 & 0 \tabularnewline
226 & 1 & 0 & 0 \tabularnewline
227 & 1 & 0 & 0 \tabularnewline
228 & 1 & 0 & 0 \tabularnewline
229 & 1 & 0 & 0 \tabularnewline
230 & 1 & 0 & 0 \tabularnewline
231 & 1 & 0 & 0 \tabularnewline
232 & 1 & 0 & 0 \tabularnewline
233 & 1 & 0 & 0 \tabularnewline
234 & 1 & 0 & 0 \tabularnewline
235 & 1 & 0 & 0 \tabularnewline
236 & 1 & 0 & 0 \tabularnewline
237 & 1 & 0 & 0 \tabularnewline
238 & 1 & 0 & 0 \tabularnewline
239 & 1 & 0 & 0 \tabularnewline
240 & 1 & 0 & 0 \tabularnewline
241 & 1 & 0 & 0 \tabularnewline
242 & 1 & 0 & 0 \tabularnewline
243 & 1 & 0 & 0 \tabularnewline
244 & 1 & 0 & 0 \tabularnewline
245 & 1 & 0 & 0 \tabularnewline
246 & 1 & 0 & 0 \tabularnewline
247 & 1 & 0 & 0 \tabularnewline
248 & 1 & 0 & 0 \tabularnewline
249 & 1 & 0 & 0 \tabularnewline
250 & 1 & 0 & 0 \tabularnewline
251 & 1 & 0 & 0 \tabularnewline
252 & 1 & 0 & 0 \tabularnewline
253 & 1 & 0 & 0 \tabularnewline
254 & 1 & 0 & 0 \tabularnewline
255 & 1 & 0 & 0 \tabularnewline
256 & 1 & 0 & 0 \tabularnewline
257 & 1 & 0 & 0 \tabularnewline
258 & 1 & 0 & 0 \tabularnewline
259 & 1 & 0 & 0 \tabularnewline
260 & 1 & 0 & 0 \tabularnewline
261 & 1 & 0 & 0 \tabularnewline
262 & 1 & 0 & 0 \tabularnewline
263 & 1 & 0 & 0 \tabularnewline
264 & 1 & 0 & 0 \tabularnewline
265 & 1 & 0 & 0 \tabularnewline
266 & 1 & 0 & 0 \tabularnewline
267 & 1 & 0 & 0 \tabularnewline
268 & 1 & 0 & 0 \tabularnewline
269 & 1 & 0 & 0 \tabularnewline
270 & 1 & 0 & 0 \tabularnewline
271 & 1 & 0 & 0 \tabularnewline
272 & 1 & 0 & 0 \tabularnewline
273 & 1 & 0 & 0 \tabularnewline
274 & 1 & 0 & 0 \tabularnewline
275 & 1 & 0 & 0 \tabularnewline
276 & 1 & 0 & 0 \tabularnewline
277 & 1 & 0 & 0 \tabularnewline
278 & 1 & 0 & 0 \tabularnewline
279 & 1 & 0 & 0 \tabularnewline
280 & 1 & 0 & 0 \tabularnewline
281 & 1 & 0 & 0 \tabularnewline
282 & 1 & 0 & 0 \tabularnewline
283 & 1 & 0 & 0 \tabularnewline
284 & 1 & 0 & 0 \tabularnewline
285 & 1 & 0 & 0 \tabularnewline
286 & 1 & 0 & 0 \tabularnewline
287 & 1 & 0 & 0 \tabularnewline
288 & 1 & 0 & 0 \tabularnewline
289 & 1 & 0 & 0 \tabularnewline
290 & 1 & 0 & 0 \tabularnewline
291 & 1 & 0 & 0 \tabularnewline
292 & 1 & 0 & 0 \tabularnewline
293 & 1 & 0 & 0 \tabularnewline
294 & 1 & 0 & 0 \tabularnewline
295 & 1 & 0 & 0 \tabularnewline
296 & 1 & 0 & 0 \tabularnewline
297 & 1 & 0 & 0 \tabularnewline
298 & 1 & 0 & 0 \tabularnewline
299 & 1 & 0 & 0 \tabularnewline
300 & 1 & 0 & 0 \tabularnewline
301 & 1 & 0 & 0 \tabularnewline
302 & 1 & 0 & 0 \tabularnewline
303 & 1 & 0 & 0 \tabularnewline
304 & 1 & 0 & 0 \tabularnewline
305 & 1 & 0 & 0 \tabularnewline
306 & 1 & 0 & 0 \tabularnewline
307 & 1 & 0 & 0 \tabularnewline
308 & 1 & 0 & 0 \tabularnewline
309 & 1 & 0 & 0 \tabularnewline
310 & 1 & 0 & 0 \tabularnewline
311 & 1 & 0 & 0 \tabularnewline
312 & 1 & 0 & 0 \tabularnewline
313 & 1 & 0 & 0 \tabularnewline
314 & 1 & 0 & 0 \tabularnewline
315 & 1 & 0 & 0 \tabularnewline
316 & 1 & 0 & 0 \tabularnewline
317 & 1 & 0 & 0 \tabularnewline
318 & 1 & 9.88131291682493e-324 & 4.94065645841247e-324 \tabularnewline
319 & 1 & 1.07706310793392e-320 & 5.38531553966959e-321 \tabularnewline
320 & 1 & 1.53162622912757e-317 & 7.65813114563786e-318 \tabularnewline
321 & 1 & 2.29196262501908e-314 & 1.14598131250954e-314 \tabularnewline
322 & 1 & 3.40393839231391e-311 & 1.70196919615696e-311 \tabularnewline
323 & 1 & 5.20809603067178e-308 & 2.60404801533589e-308 \tabularnewline
324 & 1 & 7.60540517921015e-305 & 3.80270258960507e-305 \tabularnewline
325 & 1 & 1.03610370558503e-301 & 5.18051852792517e-302 \tabularnewline
326 & 1 & 1.49499528047337e-298 & 7.47497640236687e-299 \tabularnewline
327 & 1 & 6.47654298266796e-296 & 3.23827149133398e-296 \tabularnewline
328 & 1 & 4.14953964199722e-293 & 2.07476982099861e-293 \tabularnewline
329 & 1 & 2.51157127780496e-290 & 1.25578563890248e-290 \tabularnewline
330 & 1 & 3.69214581581241e-287 & 1.84607290790621e-287 \tabularnewline
331 & 1 & 5.37828670286472e-284 & 2.68914335143236e-284 \tabularnewline
332 & 1 & 2.44543617463017e-281 & 1.22271808731508e-281 \tabularnewline
333 & 1 & 1.05434229400243e-278 & 5.27171147001213e-279 \tabularnewline
334 & 1 & 2.62212090287884e-276 & 1.31106045143942e-276 \tabularnewline
335 & 1 & 4.06866536221196e-273 & 2.03433268110598e-273 \tabularnewline
336 & 1 & 6.04853095921546e-270 & 3.02426547960773e-270 \tabularnewline
337 & 1 & 9.65658755999848e-267 & 4.82829377999924e-267 \tabularnewline
338 & 1 & 1.45835767203262e-263 & 7.29178836016311e-264 \tabularnewline
339 & 1 & 6.1268114255193e-261 & 3.06340571275965e-261 \tabularnewline
340 & 1 & 9.15505921072224e-258 & 4.57752960536112e-258 \tabularnewline
341 & 1 & 1.26140497723792e-254 & 6.30702488618959e-255 \tabularnewline
342 & 1 & 1.8549401382936e-251 & 9.274700691468e-252 \tabularnewline
343 & 1 & 2.72152547740721e-248 & 1.36076273870361e-248 \tabularnewline
344 & 1 & 4.23382608934491e-245 & 2.11691304467245e-245 \tabularnewline
345 & 1 & 1.81661588668544e-242 & 9.08307943342719e-243 \tabularnewline
346 & 1 & 2.71057019424294e-239 & 1.35528509712147e-239 \tabularnewline
347 & 1 & 3.97291466175568e-236 & 1.98645733087784e-236 \tabularnewline
348 & 1 & 4.28889545512334e-233 & 2.14444772756167e-233 \tabularnewline
349 & 1 & 6.20757866670268e-230 & 3.10378933335134e-230 \tabularnewline
350 & 1 & 8.98959751504876e-227 & 4.49479875752438e-227 \tabularnewline
351 & 1 & 1.27887356228798e-223 & 6.39436781143991e-224 \tabularnewline
352 & 1 & 5.76827409258982e-221 & 2.88413704629491e-221 \tabularnewline
353 & 1 & 8.3215614935782e-218 & 4.1607807467891e-218 \tabularnewline
354 & 1 & 1.18893218267763e-214 & 5.94466091338816e-215 \tabularnewline
355 & 1 & 5.77376264299273e-212 & 2.88688132149637e-212 \tabularnewline
356 & 1 & 8.32835234705027e-209 & 4.16417617352514e-209 \tabularnewline
357 & 1 & 3.56812754659338e-206 & 1.78406377329669e-206 \tabularnewline
358 & 1 & 5.22731488705546e-203 & 2.61365744352773e-203 \tabularnewline
359 & 1 & 2.12916180718585e-200 & 1.06458090359293e-200 \tabularnewline
360 & 1 & 3.74187577206786e-198 & 1.87093788603393e-198 \tabularnewline
361 & 1 & 4.97482628057934e-195 & 2.48741314028967e-195 \tabularnewline
362 & 1 & 6.81929306563306e-192 & 3.40964653281653e-192 \tabularnewline
363 & 1 & 2.78850991485013e-189 & 1.39425495742506e-189 \tabularnewline
364 & 1 & 4.55758352739194e-186 & 2.27879176369597e-186 \tabularnewline
365 & 1 & 7.05752577818351e-183 & 3.52876288909176e-183 \tabularnewline
366 & 1 & 1.18582570793252e-179 & 5.92912853966258e-180 \tabularnewline
367 & 1 & 1.91128798146433e-176 & 9.55643990732167e-177 \tabularnewline
368 & 1 & 2.86486314189065e-173 & 1.43243157094533e-173 \tabularnewline
369 & 1 & 1.07995416290949e-170 & 5.39977081454745e-171 \tabularnewline
370 & 1 & 1.29356683061849e-167 & 6.46783415309246e-168 \tabularnewline
371 & 1 & 2.02694879236288e-164 & 1.01347439618144e-164 \tabularnewline
372 & 1 & 2.96519866113367e-161 & 1.48259933056683e-161 \tabularnewline
373 & 1 & 4.53897547950496e-158 & 2.26948773975248e-158 \tabularnewline
374 & 1 & 2.52975064944682e-155 & 1.26487532472341e-155 \tabularnewline
375 & 1 & 3.83313905059568e-152 & 1.91656952529784e-152 \tabularnewline
376 & 1 & 8.93850079883029e-150 & 4.46925039941514e-150 \tabularnewline
377 & 1 & 2.45259726649935e-147 & 1.22629863324968e-147 \tabularnewline
378 & 1 & 3.9579878877118e-144 & 1.9789939438559e-144 \tabularnewline
379 & 1 & 6.3257250181746e-141 & 3.1628625090873e-141 \tabularnewline
380 & 1 & 9.90956739166339e-138 & 4.95478369583169e-138 \tabularnewline
381 & 1 & 1.41043776638984e-134 & 7.0521888319492e-135 \tabularnewline
382 & 1 & 4.46090239440336e-132 & 2.23045119720168e-132 \tabularnewline
383 & 1 & 7.00671408197407e-129 & 3.50335704098704e-129 \tabularnewline
384 & 1 & 1.11850327358389e-125 & 5.59251636791945e-126 \tabularnewline
385 & 1 & 1.74708842386288e-122 & 8.7354421193144e-123 \tabularnewline
386 & 1 & 6.68527237916538e-120 & 3.34263618958269e-120 \tabularnewline
387 & 1 & 2.13894715589941e-117 & 1.0694735779497e-117 \tabularnewline
388 & 1 & 3.57143955396074e-114 & 1.78571977698037e-114 \tabularnewline
389 & 1 & 8.16312505353161e-112 & 4.0815625267658e-112 \tabularnewline
390 & 1 & 1.43308118667782e-108 & 7.1654059333891e-109 \tabularnewline
391 & 1 & 2.47473349996879e-105 & 1.23736674998439e-105 \tabularnewline
392 & 1 & 4.20103630767628e-102 & 2.10051815383814e-102 \tabularnewline
393 & 1 & 7.98266314761288e-99 & 3.99133157380644e-99 \tabularnewline
394 & 1 & 1.31648787559612e-95 & 6.58243937798058e-96 \tabularnewline
395 & 1 & 3.08096324172884e-93 & 1.54048162086442e-93 \tabularnewline
396 & 1 & 5.39058226977817e-90 & 2.69529113488909e-90 \tabularnewline
397 & 1 & 9.2483970078099e-87 & 4.62419850390495e-87 \tabularnewline
398 & 1 & 1.55447109049409e-83 & 7.77235545247046e-84 \tabularnewline
399 & 1 & 2.57394468243805e-80 & 1.28697234121903e-80 \tabularnewline
400 & 1 & 4.63068046902705e-77 & 2.31534023451353e-77 \tabularnewline
401 & 1 & 7.22347863229717e-75 & 3.61173931614858e-75 \tabularnewline
402 & 1 & 7.10691365559262e-72 & 3.55345682779631e-72 \tabularnewline
403 & 1 & 1.14883219946691e-68 & 5.74416099733455e-69 \tabularnewline
404 & 1 & 1.02195246111104e-65 & 5.10976230555521e-66 \tabularnewline
405 & 1 & 1.780567952461e-62 & 8.902839762305e-63 \tabularnewline
406 & 1 & 2.69733102797455e-59 & 1.34866551398727e-59 \tabularnewline
407 & 1 & 4.67828196857846e-57 & 2.33914098428923e-57 \tabularnewline
408 & 1 & 9.48240616534022e-54 & 4.74120308267011e-54 \tabularnewline
409 & 1 & 6.77196510789629e-51 & 3.38598255394815e-51 \tabularnewline
410 & 1 & 1.39449841064246e-47 & 6.9724920532123e-48 \tabularnewline
411 & 1 & 2.54776223125263e-44 & 1.27388111562631e-44 \tabularnewline
412 & 1 & 1.30912554422839e-42 & 6.54562772114193e-43 \tabularnewline
413 & 1 & 3.32191805683413e-39 & 1.66095902841706e-39 \tabularnewline
414 & 1 & 8.20490116109576e-36 & 4.10245058054788e-36 \tabularnewline
415 & 1 & 1.16141777454316e-32 & 5.8070888727158e-33 \tabularnewline
416 & 1 & 9.27847563709903e-33 & 4.63923781854951e-33 \tabularnewline
417 & 1 & 4.30407444428663e-29 & 2.15203722214331e-29 \tabularnewline
418 & 1 & 3.30322669752539e-27 & 1.6516133487627e-27 \tabularnewline
419 & 1 & 3.02512983817271e-23 & 1.51256491908635e-23 \tabularnewline
420 & 1 & 2.58087977263379e-19 & 1.29043988631689e-19 \tabularnewline
421 & 0.999999999999999 & 1.98947395734695e-15 & 9.94736978673475e-16 \tabularnewline
422 & 0.999999999998349 & 3.30257427220262e-12 & 1.65128713610131e-12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116946&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]1.67734628837167e-05[/C][C]3.35469257674335e-05[/C][C]0.999983226537116[/C][/ROW]
[ROW][C]10[/C][C]3.45188719187019e-07[/C][C]6.90377438374038e-07[/C][C]0.99999965481128[/C][/ROW]
[ROW][C]11[/C][C]1.07878322560818e-08[/C][C]2.15756645121636e-08[/C][C]0.999999989212168[/C][/ROW]
[ROW][C]12[/C][C]2.5092975289036e-10[/C][C]5.01859505780719e-10[/C][C]0.99999999974907[/C][/ROW]
[ROW][C]13[/C][C]4.96314526113728e-12[/C][C]9.92629052227457e-12[/C][C]0.999999999995037[/C][/ROW]
[ROW][C]14[/C][C]9.03972793174385e-13[/C][C]1.80794558634877e-12[/C][C]0.999999999999096[/C][/ROW]
[ROW][C]15[/C][C]1.93860383833462e-14[/C][C]3.87720767666923e-14[/C][C]0.99999999999998[/C][/ROW]
[ROW][C]16[/C][C]7.69109808244282e-16[/C][C]1.53821961648856e-15[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]2.01541663742806e-17[/C][C]4.03083327485611e-17[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]5.34572998516652e-19[/C][C]1.0691459970333e-18[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]1.16328548691871e-20[/C][C]2.32657097383743e-20[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]2.30044103760478e-22[/C][C]4.60088207520957e-22[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]4.48879952569199e-24[/C][C]8.97759905138398e-24[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]3.29806992388194e-25[/C][C]6.59613984776389e-25[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]6.45486994433587e-27[/C][C]1.29097398886717e-26[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]4.87919756558502e-28[/C][C]9.75839513117003e-28[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]1.18989057242385e-27[/C][C]2.37978114484771e-27[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]3.03503907052474e-29[/C][C]6.07007814104948e-29[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]8.41473070216303e-30[/C][C]1.68294614043261e-29[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]4.04757510897946e-30[/C][C]8.09515021795892e-30[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]1.2128800843342e-31[/C][C]2.4257601686684e-31[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]6.47215701526509e-33[/C][C]1.29443140305302e-32[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]6.71454996851309e-31[/C][C]1.34290999370262e-30[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]2.69659920145809e-32[/C][C]5.39319840291619e-32[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]1.11897849016524e-33[/C][C]2.23795698033049e-33[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]5.8071405013794e-35[/C][C]1.16142810027588e-34[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]2.68846960179442e-36[/C][C]5.37693920358884e-36[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]9.20937394333993e-36[/C][C]1.84187478866799e-35[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]4.03260502882417e-37[/C][C]8.06521005764833e-37[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]5.12713589513073e-38[/C][C]1.02542717902615e-37[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]9.24086493813322e-28[/C][C]1.84817298762664e-27[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]1.66522686832465e-28[/C][C]3.3304537366493e-28[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]5.40061268438684e-29[/C][C]1.08012253687737e-28[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]1.68992449153925e-29[/C][C]3.3798489830785e-29[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]1.7812978064154e-30[/C][C]3.56259561283081e-30[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]1.86970788619983e-31[/C][C]3.73941577239967e-31[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]7.35750996934654e-31[/C][C]1.47150199386931e-30[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]7.92491337494022e-32[/C][C]1.58498267498804e-31[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]8.77565529380716e-33[/C][C]1.75513105876143e-32[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]9.69265261434604e-34[/C][C]1.93853052286921e-33[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]1.2346568316692e-34[/C][C]2.46931366333841e-34[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.60258105688699e-35[/C][C]3.20516211377399e-35[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]2.7481690874432e-25[/C][C]5.49633817488641e-25[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]7.02401897253754e-26[/C][C]1.40480379450751e-25[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]6.05255933074003e-26[/C][C]1.21051186614801e-25[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]6.07439780819159e-25[/C][C]1.21487956163832e-24[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]5.20702092932007e-23[/C][C]1.04140418586401e-22[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]1.45718694231479e-20[/C][C]2.91437388462958e-20[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]3.94497706335879e-21[/C][C]7.88995412671759e-21[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]2.36286623110038e-21[/C][C]4.72573246220076e-21[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]6.64510740214778e-22[/C][C]1.32902148042956e-21[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]1.80275788243146e-22[/C][C]3.60551576486292e-22[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]4.86348036694445e-23[/C][C]9.7269607338889e-23[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]1.25857978660216e-23[/C][C]2.51715957320432e-23[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]6.88470171847881e-24[/C][C]1.37694034369576e-23[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]1.8462801664473e-24[/C][C]3.6925603328946e-24[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]2.61607426505754e-24[/C][C]5.23214853011509e-24[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]7.13037829962448e-25[/C][C]1.4260756599249e-24[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]1.92866129515585e-25[/C][C]3.85732259031169e-25[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]6.4780621551452e-26[/C][C]1.29561243102904e-25[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]1.72195654731643e-26[/C][C]3.44391309463285e-26[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]4.64639031793846e-27[/C][C]9.29278063587691e-27[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]1.30047147633615e-25[/C][C]2.6009429526723e-25[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]3.64735973998002e-26[/C][C]7.29471947996003e-26[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]2.7627724020061e-146[/C][C]1.38138620100305e-146[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]1.77988547918952e-145[/C][C]8.89942739594758e-146[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]5.72766642278802e-145[/C][C]2.86383321139401e-145[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]3.14485437304272e-144[/C][C]1.57242718652136e-144[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]1.25769770634066e-143[/C][C]6.28848853170329e-144[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]7.24103294136564e-143[/C][C]3.62051647068282e-143[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]4.23110626134632e-146[/C][C]2.11555313067316e-146[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]8.34891644108267e-153[/C][C]4.17445822054134e-153[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]5.10139982058244e-152[/C][C]2.55069991029122e-152[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]3.07005922070586e-151[/C][C]1.53502961035293e-151[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]1.82116951994894e-150[/C][C]9.1058475997447e-151[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]5.13591249071924e-150[/C][C]2.56795624535962e-150[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]2.94352523809859e-149[/C][C]1.4717626190493e-149[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]1.61163812861292e-148[/C][C]8.05819064306461e-149[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]8.87443280327963e-148[/C][C]4.43721640163981e-148[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]4.8461234372428e-147[/C][C]2.4230617186214e-147[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]2.55163941747744e-146[/C][C]1.27581970873872e-146[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]1.18284823925528e-145[/C][C]5.9142411962764e-146[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]5.96043655878563e-145[/C][C]2.98021827939282e-145[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]3.16032030953998e-144[/C][C]1.58016015476999e-144[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]1.8103107699819e-153[/C][C]9.05155384990948e-154[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]1.6323602098063e-154[/C][C]8.16180104903151e-155[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]8.2110257441718e-154[/C][C]4.1055128720859e-154[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]4.00738542195082e-153[/C][C]2.00369271097541e-153[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]2.12080967802312e-152[/C][C]1.06040483901156e-152[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.0626335224508e-151[/C][C]5.313167612254e-152[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]5.03107653135558e-151[/C][C]2.51553826567779e-151[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]2.72716445924203e-150[/C][C]1.36358222962102e-150[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]5.7556443079727e-151[/C][C]2.87782215398635e-151[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]2.72636084135468e-150[/C][C]1.36318042067734e-150[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]1.2032047513739e-149[/C][C]6.01602375686949e-150[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]5.2540515760442e-149[/C][C]2.6270257880221e-149[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]2.23127084554341e-148[/C][C]1.11563542277171e-148[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]5.96588086216494e-163[/C][C]2.98294043108247e-163[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]1.99527832304869e-162[/C][C]9.97639161524345e-163[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]9.88131291682493e-324[/C][C]4.94065645841247e-324[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]1.28457067918724e-322[/C][C]6.4228533959362e-323[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]2.66795448754273e-322[/C][C]1.33397724377137e-322[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]1.33397724377137e-321[/C][C]6.66988621885683e-322[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]4.55528525465629e-321[/C][C]2.27764262732815e-321[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]1.74701612369465e-320[/C][C]8.73508061847324e-321[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]6.54044101964642e-320[/C][C]3.27022050982321e-320[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]5.74499532984201e-319[/C][C]2.87249766492101e-319[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]268[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]277[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]278[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]279[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]280[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]281[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]282[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]283[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]284[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]285[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]286[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]287[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]288[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]289[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]290[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]291[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]292[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]293[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]294[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]295[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]296[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]297[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]298[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]299[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]300[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]301[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]302[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]303[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]304[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]305[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]306[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]307[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]308[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]309[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]310[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]311[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]312[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]313[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]314[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]315[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]316[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]317[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]318[/C][C]1[/C][C]9.88131291682493e-324[/C][C]4.94065645841247e-324[/C][/ROW]
[ROW][C]319[/C][C]1[/C][C]1.07706310793392e-320[/C][C]5.38531553966959e-321[/C][/ROW]
[ROW][C]320[/C][C]1[/C][C]1.53162622912757e-317[/C][C]7.65813114563786e-318[/C][/ROW]
[ROW][C]321[/C][C]1[/C][C]2.29196262501908e-314[/C][C]1.14598131250954e-314[/C][/ROW]
[ROW][C]322[/C][C]1[/C][C]3.40393839231391e-311[/C][C]1.70196919615696e-311[/C][/ROW]
[ROW][C]323[/C][C]1[/C][C]5.20809603067178e-308[/C][C]2.60404801533589e-308[/C][/ROW]
[ROW][C]324[/C][C]1[/C][C]7.60540517921015e-305[/C][C]3.80270258960507e-305[/C][/ROW]
[ROW][C]325[/C][C]1[/C][C]1.03610370558503e-301[/C][C]5.18051852792517e-302[/C][/ROW]
[ROW][C]326[/C][C]1[/C][C]1.49499528047337e-298[/C][C]7.47497640236687e-299[/C][/ROW]
[ROW][C]327[/C][C]1[/C][C]6.47654298266796e-296[/C][C]3.23827149133398e-296[/C][/ROW]
[ROW][C]328[/C][C]1[/C][C]4.14953964199722e-293[/C][C]2.07476982099861e-293[/C][/ROW]
[ROW][C]329[/C][C]1[/C][C]2.51157127780496e-290[/C][C]1.25578563890248e-290[/C][/ROW]
[ROW][C]330[/C][C]1[/C][C]3.69214581581241e-287[/C][C]1.84607290790621e-287[/C][/ROW]
[ROW][C]331[/C][C]1[/C][C]5.37828670286472e-284[/C][C]2.68914335143236e-284[/C][/ROW]
[ROW][C]332[/C][C]1[/C][C]2.44543617463017e-281[/C][C]1.22271808731508e-281[/C][/ROW]
[ROW][C]333[/C][C]1[/C][C]1.05434229400243e-278[/C][C]5.27171147001213e-279[/C][/ROW]
[ROW][C]334[/C][C]1[/C][C]2.62212090287884e-276[/C][C]1.31106045143942e-276[/C][/ROW]
[ROW][C]335[/C][C]1[/C][C]4.06866536221196e-273[/C][C]2.03433268110598e-273[/C][/ROW]
[ROW][C]336[/C][C]1[/C][C]6.04853095921546e-270[/C][C]3.02426547960773e-270[/C][/ROW]
[ROW][C]337[/C][C]1[/C][C]9.65658755999848e-267[/C][C]4.82829377999924e-267[/C][/ROW]
[ROW][C]338[/C][C]1[/C][C]1.45835767203262e-263[/C][C]7.29178836016311e-264[/C][/ROW]
[ROW][C]339[/C][C]1[/C][C]6.1268114255193e-261[/C][C]3.06340571275965e-261[/C][/ROW]
[ROW][C]340[/C][C]1[/C][C]9.15505921072224e-258[/C][C]4.57752960536112e-258[/C][/ROW]
[ROW][C]341[/C][C]1[/C][C]1.26140497723792e-254[/C][C]6.30702488618959e-255[/C][/ROW]
[ROW][C]342[/C][C]1[/C][C]1.8549401382936e-251[/C][C]9.274700691468e-252[/C][/ROW]
[ROW][C]343[/C][C]1[/C][C]2.72152547740721e-248[/C][C]1.36076273870361e-248[/C][/ROW]
[ROW][C]344[/C][C]1[/C][C]4.23382608934491e-245[/C][C]2.11691304467245e-245[/C][/ROW]
[ROW][C]345[/C][C]1[/C][C]1.81661588668544e-242[/C][C]9.08307943342719e-243[/C][/ROW]
[ROW][C]346[/C][C]1[/C][C]2.71057019424294e-239[/C][C]1.35528509712147e-239[/C][/ROW]
[ROW][C]347[/C][C]1[/C][C]3.97291466175568e-236[/C][C]1.98645733087784e-236[/C][/ROW]
[ROW][C]348[/C][C]1[/C][C]4.28889545512334e-233[/C][C]2.14444772756167e-233[/C][/ROW]
[ROW][C]349[/C][C]1[/C][C]6.20757866670268e-230[/C][C]3.10378933335134e-230[/C][/ROW]
[ROW][C]350[/C][C]1[/C][C]8.98959751504876e-227[/C][C]4.49479875752438e-227[/C][/ROW]
[ROW][C]351[/C][C]1[/C][C]1.27887356228798e-223[/C][C]6.39436781143991e-224[/C][/ROW]
[ROW][C]352[/C][C]1[/C][C]5.76827409258982e-221[/C][C]2.88413704629491e-221[/C][/ROW]
[ROW][C]353[/C][C]1[/C][C]8.3215614935782e-218[/C][C]4.1607807467891e-218[/C][/ROW]
[ROW][C]354[/C][C]1[/C][C]1.18893218267763e-214[/C][C]5.94466091338816e-215[/C][/ROW]
[ROW][C]355[/C][C]1[/C][C]5.77376264299273e-212[/C][C]2.88688132149637e-212[/C][/ROW]
[ROW][C]356[/C][C]1[/C][C]8.32835234705027e-209[/C][C]4.16417617352514e-209[/C][/ROW]
[ROW][C]357[/C][C]1[/C][C]3.56812754659338e-206[/C][C]1.78406377329669e-206[/C][/ROW]
[ROW][C]358[/C][C]1[/C][C]5.22731488705546e-203[/C][C]2.61365744352773e-203[/C][/ROW]
[ROW][C]359[/C][C]1[/C][C]2.12916180718585e-200[/C][C]1.06458090359293e-200[/C][/ROW]
[ROW][C]360[/C][C]1[/C][C]3.74187577206786e-198[/C][C]1.87093788603393e-198[/C][/ROW]
[ROW][C]361[/C][C]1[/C][C]4.97482628057934e-195[/C][C]2.48741314028967e-195[/C][/ROW]
[ROW][C]362[/C][C]1[/C][C]6.81929306563306e-192[/C][C]3.40964653281653e-192[/C][/ROW]
[ROW][C]363[/C][C]1[/C][C]2.78850991485013e-189[/C][C]1.39425495742506e-189[/C][/ROW]
[ROW][C]364[/C][C]1[/C][C]4.55758352739194e-186[/C][C]2.27879176369597e-186[/C][/ROW]
[ROW][C]365[/C][C]1[/C][C]7.05752577818351e-183[/C][C]3.52876288909176e-183[/C][/ROW]
[ROW][C]366[/C][C]1[/C][C]1.18582570793252e-179[/C][C]5.92912853966258e-180[/C][/ROW]
[ROW][C]367[/C][C]1[/C][C]1.91128798146433e-176[/C][C]9.55643990732167e-177[/C][/ROW]
[ROW][C]368[/C][C]1[/C][C]2.86486314189065e-173[/C][C]1.43243157094533e-173[/C][/ROW]
[ROW][C]369[/C][C]1[/C][C]1.07995416290949e-170[/C][C]5.39977081454745e-171[/C][/ROW]
[ROW][C]370[/C][C]1[/C][C]1.29356683061849e-167[/C][C]6.46783415309246e-168[/C][/ROW]
[ROW][C]371[/C][C]1[/C][C]2.02694879236288e-164[/C][C]1.01347439618144e-164[/C][/ROW]
[ROW][C]372[/C][C]1[/C][C]2.96519866113367e-161[/C][C]1.48259933056683e-161[/C][/ROW]
[ROW][C]373[/C][C]1[/C][C]4.53897547950496e-158[/C][C]2.26948773975248e-158[/C][/ROW]
[ROW][C]374[/C][C]1[/C][C]2.52975064944682e-155[/C][C]1.26487532472341e-155[/C][/ROW]
[ROW][C]375[/C][C]1[/C][C]3.83313905059568e-152[/C][C]1.91656952529784e-152[/C][/ROW]
[ROW][C]376[/C][C]1[/C][C]8.93850079883029e-150[/C][C]4.46925039941514e-150[/C][/ROW]
[ROW][C]377[/C][C]1[/C][C]2.45259726649935e-147[/C][C]1.22629863324968e-147[/C][/ROW]
[ROW][C]378[/C][C]1[/C][C]3.9579878877118e-144[/C][C]1.9789939438559e-144[/C][/ROW]
[ROW][C]379[/C][C]1[/C][C]6.3257250181746e-141[/C][C]3.1628625090873e-141[/C][/ROW]
[ROW][C]380[/C][C]1[/C][C]9.90956739166339e-138[/C][C]4.95478369583169e-138[/C][/ROW]
[ROW][C]381[/C][C]1[/C][C]1.41043776638984e-134[/C][C]7.0521888319492e-135[/C][/ROW]
[ROW][C]382[/C][C]1[/C][C]4.46090239440336e-132[/C][C]2.23045119720168e-132[/C][/ROW]
[ROW][C]383[/C][C]1[/C][C]7.00671408197407e-129[/C][C]3.50335704098704e-129[/C][/ROW]
[ROW][C]384[/C][C]1[/C][C]1.11850327358389e-125[/C][C]5.59251636791945e-126[/C][/ROW]
[ROW][C]385[/C][C]1[/C][C]1.74708842386288e-122[/C][C]8.7354421193144e-123[/C][/ROW]
[ROW][C]386[/C][C]1[/C][C]6.68527237916538e-120[/C][C]3.34263618958269e-120[/C][/ROW]
[ROW][C]387[/C][C]1[/C][C]2.13894715589941e-117[/C][C]1.0694735779497e-117[/C][/ROW]
[ROW][C]388[/C][C]1[/C][C]3.57143955396074e-114[/C][C]1.78571977698037e-114[/C][/ROW]
[ROW][C]389[/C][C]1[/C][C]8.16312505353161e-112[/C][C]4.0815625267658e-112[/C][/ROW]
[ROW][C]390[/C][C]1[/C][C]1.43308118667782e-108[/C][C]7.1654059333891e-109[/C][/ROW]
[ROW][C]391[/C][C]1[/C][C]2.47473349996879e-105[/C][C]1.23736674998439e-105[/C][/ROW]
[ROW][C]392[/C][C]1[/C][C]4.20103630767628e-102[/C][C]2.10051815383814e-102[/C][/ROW]
[ROW][C]393[/C][C]1[/C][C]7.98266314761288e-99[/C][C]3.99133157380644e-99[/C][/ROW]
[ROW][C]394[/C][C]1[/C][C]1.31648787559612e-95[/C][C]6.58243937798058e-96[/C][/ROW]
[ROW][C]395[/C][C]1[/C][C]3.08096324172884e-93[/C][C]1.54048162086442e-93[/C][/ROW]
[ROW][C]396[/C][C]1[/C][C]5.39058226977817e-90[/C][C]2.69529113488909e-90[/C][/ROW]
[ROW][C]397[/C][C]1[/C][C]9.2483970078099e-87[/C][C]4.62419850390495e-87[/C][/ROW]
[ROW][C]398[/C][C]1[/C][C]1.55447109049409e-83[/C][C]7.77235545247046e-84[/C][/ROW]
[ROW][C]399[/C][C]1[/C][C]2.57394468243805e-80[/C][C]1.28697234121903e-80[/C][/ROW]
[ROW][C]400[/C][C]1[/C][C]4.63068046902705e-77[/C][C]2.31534023451353e-77[/C][/ROW]
[ROW][C]401[/C][C]1[/C][C]7.22347863229717e-75[/C][C]3.61173931614858e-75[/C][/ROW]
[ROW][C]402[/C][C]1[/C][C]7.10691365559262e-72[/C][C]3.55345682779631e-72[/C][/ROW]
[ROW][C]403[/C][C]1[/C][C]1.14883219946691e-68[/C][C]5.74416099733455e-69[/C][/ROW]
[ROW][C]404[/C][C]1[/C][C]1.02195246111104e-65[/C][C]5.10976230555521e-66[/C][/ROW]
[ROW][C]405[/C][C]1[/C][C]1.780567952461e-62[/C][C]8.902839762305e-63[/C][/ROW]
[ROW][C]406[/C][C]1[/C][C]2.69733102797455e-59[/C][C]1.34866551398727e-59[/C][/ROW]
[ROW][C]407[/C][C]1[/C][C]4.67828196857846e-57[/C][C]2.33914098428923e-57[/C][/ROW]
[ROW][C]408[/C][C]1[/C][C]9.48240616534022e-54[/C][C]4.74120308267011e-54[/C][/ROW]
[ROW][C]409[/C][C]1[/C][C]6.77196510789629e-51[/C][C]3.38598255394815e-51[/C][/ROW]
[ROW][C]410[/C][C]1[/C][C]1.39449841064246e-47[/C][C]6.9724920532123e-48[/C][/ROW]
[ROW][C]411[/C][C]1[/C][C]2.54776223125263e-44[/C][C]1.27388111562631e-44[/C][/ROW]
[ROW][C]412[/C][C]1[/C][C]1.30912554422839e-42[/C][C]6.54562772114193e-43[/C][/ROW]
[ROW][C]413[/C][C]1[/C][C]3.32191805683413e-39[/C][C]1.66095902841706e-39[/C][/ROW]
[ROW][C]414[/C][C]1[/C][C]8.20490116109576e-36[/C][C]4.10245058054788e-36[/C][/ROW]
[ROW][C]415[/C][C]1[/C][C]1.16141777454316e-32[/C][C]5.8070888727158e-33[/C][/ROW]
[ROW][C]416[/C][C]1[/C][C]9.27847563709903e-33[/C][C]4.63923781854951e-33[/C][/ROW]
[ROW][C]417[/C][C]1[/C][C]4.30407444428663e-29[/C][C]2.15203722214331e-29[/C][/ROW]
[ROW][C]418[/C][C]1[/C][C]3.30322669752539e-27[/C][C]1.6516133487627e-27[/C][/ROW]
[ROW][C]419[/C][C]1[/C][C]3.02512983817271e-23[/C][C]1.51256491908635e-23[/C][/ROW]
[ROW][C]420[/C][C]1[/C][C]2.58087977263379e-19[/C][C]1.29043988631689e-19[/C][/ROW]
[ROW][C]421[/C][C]0.999999999999999[/C][C]1.98947395734695e-15[/C][C]9.94736978673475e-16[/C][/ROW]
[ROW][C]422[/C][C]0.999999999998349[/C][C]3.30257427220262e-12[/C][C]1.65128713610131e-12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116946&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116946&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
91.67734628837167e-053.35469257674335e-050.999983226537116
103.45188719187019e-076.90377438374038e-070.99999965481128
111.07878322560818e-082.15756645121636e-080.999999989212168
122.5092975289036e-105.01859505780719e-100.99999999974907
134.96314526113728e-129.92629052227457e-120.999999999995037
149.03972793174385e-131.80794558634877e-120.999999999999096
151.93860383833462e-143.87720767666923e-140.99999999999998
167.69109808244282e-161.53821961648856e-151
172.01541663742806e-174.03083327485611e-171
185.34572998516652e-191.0691459970333e-181
191.16328548691871e-202.32657097383743e-201
202.30044103760478e-224.60088207520957e-221
214.48879952569199e-248.97759905138398e-241
223.29806992388194e-256.59613984776389e-251
236.45486994433587e-271.29097398886717e-261
244.87919756558502e-289.75839513117003e-281
251.18989057242385e-272.37978114484771e-271
263.03503907052474e-296.07007814104948e-291
278.41473070216303e-301.68294614043261e-291
284.04757510897946e-308.09515021795892e-301
291.2128800843342e-312.4257601686684e-311
306.47215701526509e-331.29443140305302e-321
316.71454996851309e-311.34290999370262e-301
322.69659920145809e-325.39319840291619e-321
331.11897849016524e-332.23795698033049e-331
345.8071405013794e-351.16142810027588e-341
352.68846960179442e-365.37693920358884e-361
369.20937394333993e-361.84187478866799e-351
374.03260502882417e-378.06521005764833e-371
385.12713589513073e-381.02542717902615e-371
399.24086493813322e-281.84817298762664e-271
401.66522686832465e-283.3304537366493e-281
415.40061268438684e-291.08012253687737e-281
421.68992449153925e-293.3798489830785e-291
431.7812978064154e-303.56259561283081e-301
441.86970788619983e-313.73941577239967e-311
457.35750996934654e-311.47150199386931e-301
467.92491337494022e-321.58498267498804e-311
478.77565529380716e-331.75513105876143e-321
489.69265261434604e-341.93853052286921e-331
491.2346568316692e-342.46931366333841e-341
501.60258105688699e-353.20516211377399e-351
512.7481690874432e-255.49633817488641e-251
527.02401897253754e-261.40480379450751e-251
536.05255933074003e-261.21051186614801e-251
546.07439780819159e-251.21487956163832e-241
555.20702092932007e-231.04140418586401e-221
561.45718694231479e-202.91437388462958e-201
573.94497706335879e-217.88995412671759e-211
582.36286623110038e-214.72573246220076e-211
596.64510740214778e-221.32902148042956e-211
601.80275788243146e-223.60551576486292e-221
614.86348036694445e-239.7269607338889e-231
621.25857978660216e-232.51715957320432e-231
636.88470171847881e-241.37694034369576e-231
641.8462801664473e-243.6925603328946e-241
652.61607426505754e-245.23214853011509e-241
667.13037829962448e-251.4260756599249e-241
671.92866129515585e-253.85732259031169e-251
686.4780621551452e-261.29561243102904e-251
691.72195654731643e-263.44391309463285e-261
704.64639031793846e-279.29278063587691e-271
711.30047147633615e-252.6009429526723e-251
723.64735973998002e-267.29471947996003e-261
7312.7627724020061e-1461.38138620100305e-146
7411.77988547918952e-1458.89942739594758e-146
7515.72766642278802e-1452.86383321139401e-145
7613.14485437304272e-1441.57242718652136e-144
7711.25769770634066e-1436.28848853170329e-144
7817.24103294136564e-1433.62051647068282e-143
7914.23110626134632e-1462.11555313067316e-146
8018.34891644108267e-1534.17445822054134e-153
8115.10139982058244e-1522.55069991029122e-152
8213.07005922070586e-1511.53502961035293e-151
8311.82116951994894e-1509.1058475997447e-151
8415.13591249071924e-1502.56795624535962e-150
8512.94352523809859e-1491.4717626190493e-149
8611.61163812861292e-1488.05819064306461e-149
8718.87443280327963e-1484.43721640163981e-148
8814.8461234372428e-1472.4230617186214e-147
8912.55163941747744e-1461.27581970873872e-146
9011.18284823925528e-1455.9142411962764e-146
9115.96043655878563e-1452.98021827939282e-145
9213.16032030953998e-1441.58016015476999e-144
9311.8103107699819e-1539.05155384990948e-154
9411.6323602098063e-1548.16180104903151e-155
9518.2110257441718e-1544.1055128720859e-154
9614.00738542195082e-1532.00369271097541e-153
9712.12080967802312e-1521.06040483901156e-152
9811.0626335224508e-1515.313167612254e-152
9915.03107653135558e-1512.51553826567779e-151
10012.72716445924203e-1501.36358222962102e-150
10115.7556443079727e-1512.87782215398635e-151
10212.72636084135468e-1501.36318042067734e-150
10311.2032047513739e-1496.01602375686949e-150
10415.2540515760442e-1492.6270257880221e-149
10512.23127084554341e-1481.11563542277171e-148
10615.96588086216494e-1632.98294043108247e-163
10711.99527832304869e-1629.97639161524345e-163
108100
109100
11019.88131291682493e-3244.94065645841247e-324
11111.28457067918724e-3226.4228533959362e-323
11212.66795448754273e-3221.33397724377137e-322
11311.33397724377137e-3216.66988621885683e-322
11414.55528525465629e-3212.27764262732815e-321
11511.74701612369465e-3208.73508061847324e-321
11616.54044101964642e-3203.27022050982321e-320
11715.74499532984201e-3192.87249766492101e-319
118100
119100
120100
121100
122100
123100
124100
125100
126100
127100
128100
129100
130100
131100
132100
133100
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135100
136100
137100
138100
139100
140100
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142100
143100
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149100
150100
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152100
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158100
159100
160100
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162100
163100
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172100
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220100
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317100
31819.88131291682493e-3244.94065645841247e-324
31911.07706310793392e-3205.38531553966959e-321
32011.53162622912757e-3177.65813114563786e-318
32112.29196262501908e-3141.14598131250954e-314
32213.40393839231391e-3111.70196919615696e-311
32315.20809603067178e-3082.60404801533589e-308
32417.60540517921015e-3053.80270258960507e-305
32511.03610370558503e-3015.18051852792517e-302
32611.49499528047337e-2987.47497640236687e-299
32716.47654298266796e-2963.23827149133398e-296
32814.14953964199722e-2932.07476982099861e-293
32912.51157127780496e-2901.25578563890248e-290
33013.69214581581241e-2871.84607290790621e-287
33115.37828670286472e-2842.68914335143236e-284
33212.44543617463017e-2811.22271808731508e-281
33311.05434229400243e-2785.27171147001213e-279
33412.62212090287884e-2761.31106045143942e-276
33514.06866536221196e-2732.03433268110598e-273
33616.04853095921546e-2703.02426547960773e-270
33719.65658755999848e-2674.82829377999924e-267
33811.45835767203262e-2637.29178836016311e-264
33916.1268114255193e-2613.06340571275965e-261
34019.15505921072224e-2584.57752960536112e-258
34111.26140497723792e-2546.30702488618959e-255
34211.8549401382936e-2519.274700691468e-252
34312.72152547740721e-2481.36076273870361e-248
34414.23382608934491e-2452.11691304467245e-245
34511.81661588668544e-2429.08307943342719e-243
34612.71057019424294e-2391.35528509712147e-239
34713.97291466175568e-2361.98645733087784e-236
34814.28889545512334e-2332.14444772756167e-233
34916.20757866670268e-2303.10378933335134e-230
35018.98959751504876e-2274.49479875752438e-227
35111.27887356228798e-2236.39436781143991e-224
35215.76827409258982e-2212.88413704629491e-221
35318.3215614935782e-2184.1607807467891e-218
35411.18893218267763e-2145.94466091338816e-215
35515.77376264299273e-2122.88688132149637e-212
35618.32835234705027e-2094.16417617352514e-209
35713.56812754659338e-2061.78406377329669e-206
35815.22731488705546e-2032.61365744352773e-203
35912.12916180718585e-2001.06458090359293e-200
36013.74187577206786e-1981.87093788603393e-198
36114.97482628057934e-1952.48741314028967e-195
36216.81929306563306e-1923.40964653281653e-192
36312.78850991485013e-1891.39425495742506e-189
36414.55758352739194e-1862.27879176369597e-186
36517.05752577818351e-1833.52876288909176e-183
36611.18582570793252e-1795.92912853966258e-180
36711.91128798146433e-1769.55643990732167e-177
36812.86486314189065e-1731.43243157094533e-173
36911.07995416290949e-1705.39977081454745e-171
37011.29356683061849e-1676.46783415309246e-168
37112.02694879236288e-1641.01347439618144e-164
37212.96519866113367e-1611.48259933056683e-161
37314.53897547950496e-1582.26948773975248e-158
37412.52975064944682e-1551.26487532472341e-155
37513.83313905059568e-1521.91656952529784e-152
37618.93850079883029e-1504.46925039941514e-150
37712.45259726649935e-1471.22629863324968e-147
37813.9579878877118e-1441.9789939438559e-144
37916.3257250181746e-1413.1628625090873e-141
38019.90956739166339e-1384.95478369583169e-138
38111.41043776638984e-1347.0521888319492e-135
38214.46090239440336e-1322.23045119720168e-132
38317.00671408197407e-1293.50335704098704e-129
38411.11850327358389e-1255.59251636791945e-126
38511.74708842386288e-1228.7354421193144e-123
38616.68527237916538e-1203.34263618958269e-120
38712.13894715589941e-1171.0694735779497e-117
38813.57143955396074e-1141.78571977698037e-114
38918.16312505353161e-1124.0815625267658e-112
39011.43308118667782e-1087.1654059333891e-109
39112.47473349996879e-1051.23736674998439e-105
39214.20103630767628e-1022.10051815383814e-102
39317.98266314761288e-993.99133157380644e-99
39411.31648787559612e-956.58243937798058e-96
39513.08096324172884e-931.54048162086442e-93
39615.39058226977817e-902.69529113488909e-90
39719.2483970078099e-874.62419850390495e-87
39811.55447109049409e-837.77235545247046e-84
39912.57394468243805e-801.28697234121903e-80
40014.63068046902705e-772.31534023451353e-77
40117.22347863229717e-753.61173931614858e-75
40217.10691365559262e-723.55345682779631e-72
40311.14883219946691e-685.74416099733455e-69
40411.02195246111104e-655.10976230555521e-66
40511.780567952461e-628.902839762305e-63
40612.69733102797455e-591.34866551398727e-59
40714.67828196857846e-572.33914098428923e-57
40819.48240616534022e-544.74120308267011e-54
40916.77196510789629e-513.38598255394815e-51
41011.39449841064246e-476.9724920532123e-48
41112.54776223125263e-441.27388111562631e-44
41211.30912554422839e-426.54562772114193e-43
41313.32191805683413e-391.66095902841706e-39
41418.20490116109576e-364.10245058054788e-36
41511.16141777454316e-325.8070888727158e-33
41619.27847563709903e-334.63923781854951e-33
41714.30407444428663e-292.15203722214331e-29
41813.30322669752539e-271.6516133487627e-27
41913.02512983817271e-231.51256491908635e-23
42012.58087977263379e-191.29043988631689e-19
4210.9999999999999991.98947395734695e-159.94736978673475e-16
4220.9999999999983493.30257427220262e-121.65128713610131e-12







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level4141NOK
5% type I error level4141NOK
10% type I error level4141NOK

\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 & 414 & 1 & NOK \tabularnewline
5% type I error level & 414 & 1 & NOK \tabularnewline
10% type I error level & 414 & 1 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116946&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]414[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]414[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]414[/C][C]1[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116946&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116946&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level4141NOK
5% type I error level4141NOK
10% type I error level4141NOK



Parameters (Session):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')
}