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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 computationSat, 17 Dec 2011 10:10:41 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/17/t13241346638fb09ajwhpdaaf2.htm/, Retrieved Fri, 29 Mar 2024 01:55:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156376, Retrieved Fri, 29 Mar 2024 01:55:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 19:35:21] [b98453cac15ba1066b407e146608df68]
-   PD  [Recursive Partitioning (Regression Trees)] [Recursive partiti...] [2011-12-15 18:59:13] [15a5dd358825f04074b70fc847ec6454]
- RMPD      [Multiple Regression] [PAPER] [2011-12-17 15:10:41] [9c3f7eb531442757fa35fbfef7e48a65] [Current]
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Dataseries X:
30	210907	112285	1418	144
28	120982	84786	869	103
38	176508	83123	1530	98
30	179321	101193	2172	135
22	123185	38361	901	61
26	52746	68504	463	39
25	385534	119182	3201	150
18	33170	22807	371	5
11	101645	17140	1192	28
26	149061	116174	1583	84
25	165446	57635	1439	80
38	237213	66198	1764	130
44	173326	71701	1495	82
30	133131	57793	1373	60
40	258873	80444	2187	131
34	180083	53855	1491	84
47	324799	97668	4041	140
30	230964	133824	1706	151
31	236785	101481	2152	91
23	135473	99645	1036	138
36	202925	114789	1882	150
36	215147	99052	1929	124
30	344297	67654	2242	119
25	153935	65553	1220	73
39	132943	97500	1289	110
34	174724	69112	2515	123
31	174415	82753	2147	90
31	225548	85323	2352	116
33	223632	72654	1638	113
25	124817	30727	1222	56
33	221698	77873	1812	115
35	210767	117478	1677	119
42	170266	74007	1579	129
43	260561	90183	1731	127
30	84853	61542	807	27
33	294424	101494	2452	175
13	101011	27570	829	35
32	215641	55813	1940	64
36	325107	79215	2662	96
0	7176	1423	186	0
28	167542	55461	1499	84
14	106408	31081	865	41
17	96560	22996	1793	47
32	265769	83122	2527	126
30	269651	70106	2747	105
35	149112	60578	1324	80
20	175824	39992	2702	70
28	152871	79892	1383	73
28	111665	49810	1179	57
39	116408	71570	2099	40
34	362301	100708	4308	68
26	78800	33032	918	21
39	183167	82875	1831	127
39	277965	139077	3373	154
33	150629	71595	1713	116
28	168809	72260	1438	102
4	24188	5950	496	7
39	329267	115762	2253	148
18	65029	32551	744	21
14	101097	31701	1161	35
29	218946	80670	2352	112
44	244052	143558	2144	137
21	341570	117105	4691	135
16	103597	23789	1112	26
28	233328	120733	2694	230
35	256462	105195	1973	181
28	206161	73107	1769	71
38	311473	132068	3148	147
23	235800	149193	2474	190
36	177939	46821	2084	64
32	207176	87011	1954	105
29	196553	95260	1226	107
25	174184	55183	1389	94
27	143246	106671	1496	116
36	187559	73511	2269	106
28	187681	92945	1833	143
23	119016	78664	1268	81
40	182192	70054	1943	89
23	73566	22618	893	26
40	194979	74011	1762	84
28	167488	83737	1403	113
34	143756	69094	1425	120
33	275541	93133	1857	110
28	243199	95536	1840	134
34	182999	225920	1502	54
30	135649	62133	1441	96
33	152299	61370	1420	78
22	120221	43836	1416	51
38	346485	106117	2970	121
26	145790	38692	1317	38
35	193339	84651	1644	145
8	80953	56622	870	59
24	122774	15986	1654	27
29	130585	95364	1054	91
20	112611	26706	937	48
29	286468	89691	3004	68
45	241066	67267	2008	58
37	148446	126846	2547	150
33	204713	41140	1885	74
33	182079	102860	1626	181
25	140344	51715	1468	65
32	220516	55801	2445	97
29	243060	111813	1964	121
28	162765	120293	1381	99
28	182613	138599	1369	152
31	232138	161647	1659	188
52	265318	115929	2888	138
21	85574	24266	1290	40
24	310839	162901	2845	254
41	225060	109825	1982	87
33	232317	129838	1904	178
32	144966	37510	1391	51
19	43287	43750	602	49
20	155754	40652	1743	73
31	164709	87771	1559	176
31	201940	85872	2014	94
32	235454	89275	2143	120
18	220801	44418	2146	66
23	99466	192565	874	56
17	92661	35232	1590	39
20	133328	40909	1590	66
12	61361	13294	1210	27
17	125930	32387	2072	65
30	100750	140867	1281	58
31	224549	120662	1401	98
10	82316	21233	834	25
13	102010	44332	1105	26
22	101523	61056	1272	77
42	243511	101338	1944	130
1	22938	1168	391	11
9	41566	13497	761	2
32	152474	65567	1605	101
11	61857	25162	530	31
25	99923	32334	1988	36
36	132487	40735	1386	120
31	317394	91413	2395	195
0	21054	855	387	4
24	209641	97068	1742	89
13	22648	44339	620	24
8	31414	14116	449	39
13	46698	10288	800	14
19	131698	65622	1684	78
18	91735	16563	1050	15
33	244749	76643	2699	106
40	184510	110681	1606	83
22	79863	29011	1502	24
38	128423	92696	1204	37
24	97839	94785	1138	77
8	38214	8773	568	16
35	151101	83209	1459	56
43	272458	93815	2158	132
43	172494	86687	1111	144
14	108043	34553	1421	40
41	328107	105547	2833	153
38	250579	103487	1955	143
45	351067	213688	2922	220
31	158015	71220	1002	79
13	98866	23517	1060	50
28	85439	56926	956	39
31	229242	91721	2186	95
40	351619	115168	3604	169
30	84207	111194	1035	12
16	120445	51009	1417	63
37	324598	135777	3261	134
30	131069	51513	1587	69
35	204271	74163	1424	119
32	165543	51633	1701	119
27	141722	75345	1249	75
20	116048	33416	946	63
18	250047	83305	1926	55
31	299775	98952	3352	103
31	195838	102372	1641	197
21	173260	37238	2035	16
39	254488	103772	2312	140
41	104389	123969	1369	89
13	136084	27142	1577	40
32	199476	135400	2201	125
18	92499	21399	961	21
39	224330	130115	1900	167
14	135781	24874	1254	32
7	74408	34988	1335	36
17	81240	45549	1597	13
0	14688	6023	207	5
30	181633	64466	1645	96
37	271856	54990	2429	151
0	7199	1644	151	6
5	46660	6179	474	13
1	17547	3926	141	3
16	133368	32755	1639	57
32	95227	34777	872	23
24	152601	73224	1318	61
17	98146	27114	1018	21
11	79619	20760	1383	43
24	59194	37636	1314	20
22	139942	65461	1335	82
12	118612	30080	1403	90
19	72880	24094	910	25
13	65475	69008	616	60
17	99643	54968	1407	61
15	71965	46090	771	85
16	77272	27507	766	43
24	49289	10672	473	25
15	135131	34029	1376	41
17	108446	46300	1232	26
18	89746	24760	1521	38
20	44296	18779	572	12
16	77648	21280	1059	29
16	181528	40662	1544	49
18	134019	28987	1230	46
22	124064	22827	1206	41
8	92630	18513	1205	31
17	121848	30594	1255	41
18	52915	24006	613	26
16	81872	27913	721	23
23	58981	42744	1109	14
22	53515	12934	740	16
13	60812	22574	1126	25
13	56375	41385	728	21
16	65490	18653	689	32
16	80949	18472	592	9
20	76302	30976	995	35
22	104011	63339	1613	42
17	98104	25568	2048	68
18	67989	33747	705	32
17	30989	4154	301	6
12	135458	19474	1803	68
7	73504	35130	799	33
17	63123	39067	861	84
14	61254	13310	1186	46
23	74914	65892	1451	30
17	31774	4143	628	0
14	81437	28579	1161	36
15	87186	51776	1463	47
17	50090	21152	742	20
21	65745	38084	979	50
18	56653	27717	675	30
18	158399	32928	1241	30
17	46455	11342	676	34
17	73624	19499	1049	33
16	38395	16380	620	34
15	91899	36874	1081	37
21	139526	48259	1688	83
16	52164	16734	736	32
14	51567	28207	617	30
15	70551	30143	812	43
17	84856	41369	1051	41
15	102538	45833	1656	51
15	86678	29156	705	19
10	85709	35944	945	37
6	34662	36278	554	33
22	150580	45588	1597	41
21	99611	45097	982	54
1	19349	3895	222	14
18	99373	28394	1212	25
17	86230	18632	1143	25
4	30837	2325	435	8
10	31706	25139	532	26
16	89806	27975	882	20
16	62088	14483	608	11
9	40151	13127	459	14
16	27634	5839	578	3
17	76990	24069	826	40
7	37460	3738	509	5
15	54157	18625	717	38
14	49862	36341	637	32
14	84337	24548	857	41
18	64175	21792	830	46
12	59382	26263	652	47
16	119308	23686	707	37
21	76702	49303	954	51
19	103425	25659	1461	49
16	70344	28904	672	21
1	43410	2781	778	1
16	104838	29236	1141	44
10	62215	19546	680	26
19	69304	22818	1090	21
12	53117	32689	616	4
2	19764	5752	285	10
14	86680	22197	1145	43
17	84105	20055	733	34
19	77945	25272	888	32
14	89113	82206	849	20
11	91005	32073	1182	34
4	40248	5444	528	6
16	64187	20154	642	12
20	50857	36944	947	24
12	56613	8019	819	16
15	62792	30884	757	72
16	72535	19540	894	27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156376&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156376&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156376&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 time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 9.23531147622903 + 5.420414069882e-05time_in_rfc[t] + 8.66879261971592e-05totsize[t] -9.65037517026645e-05pageviews[t] + 0.024788907126334tothyperlinks[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
compendiums_reviewed[t] =  +  9.23531147622903 +  5.420414069882e-05time_in_rfc[t] +  8.66879261971592e-05totsize[t] -9.65037517026645e-05pageviews[t] +  0.024788907126334tothyperlinks[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156376&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]compendiums_reviewed[t] =  +  9.23531147622903 +  5.420414069882e-05time_in_rfc[t] +  8.66879261971592e-05totsize[t] -9.65037517026645e-05pageviews[t] +  0.024788907126334tothyperlinks[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156376&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156376&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
compendiums_reviewed[t] = + 9.23531147622903 + 5.420414069882e-05time_in_rfc[t] + 8.66879261971592e-05totsize[t] -9.65037517026645e-05pageviews[t] + 0.024788907126334tothyperlinks[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9.235311476229030.82579511.183500
time_in_rfc5.420414069882e-051.3e-054.24922.9e-051.5e-05
totsize8.66879261971592e-051.6e-055.403700
pageviews-9.65037517026645e-050.001139-0.08470.9325420.466271
tothyperlinks0.0247889071263340.0149081.66280.0974530.048726

\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) & 9.23531147622903 & 0.825795 & 11.1835 & 0 & 0 \tabularnewline
time_in_rfc & 5.420414069882e-05 & 1.3e-05 & 4.2492 & 2.9e-05 & 1.5e-05 \tabularnewline
totsize & 8.66879261971592e-05 & 1.6e-05 & 5.4037 & 0 & 0 \tabularnewline
pageviews & -9.65037517026645e-05 & 0.001139 & -0.0847 & 0.932542 & 0.466271 \tabularnewline
tothyperlinks & 0.024788907126334 & 0.014908 & 1.6628 & 0.097453 & 0.048726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156376&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]9.23531147622903[/C][C]0.825795[/C][C]11.1835[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]5.420414069882e-05[/C][C]1.3e-05[/C][C]4.2492[/C][C]2.9e-05[/C][C]1.5e-05[/C][/ROW]
[ROW][C]totsize[/C][C]8.66879261971592e-05[/C][C]1.6e-05[/C][C]5.4037[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]pageviews[/C][C]-9.65037517026645e-05[/C][C]0.001139[/C][C]-0.0847[/C][C]0.932542[/C][C]0.466271[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.024788907126334[/C][C]0.014908[/C][C]1.6628[/C][C]0.097453[/C][C]0.048726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156376&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156376&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)9.235311476229030.82579511.183500
time_in_rfc5.420414069882e-051.3e-054.24922.9e-051.5e-05
totsize8.66879261971592e-051.6e-055.403700
pageviews-9.65037517026645e-050.001139-0.08470.9325420.466271
tothyperlinks0.0247889071263340.0149081.66280.0974530.048726







Multiple Linear Regression - Regression Statistics
Multiple R0.801512814827921
R-squared0.642422792333377
Adjusted R-squared0.637386493633847
F-TEST (value)127.558516811829
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.38019621150774
Sum Squared Residuals11560.7606500439

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.801512814827921 \tabularnewline
R-squared & 0.642422792333377 \tabularnewline
Adjusted R-squared & 0.637386493633847 \tabularnewline
F-TEST (value) & 127.558516811829 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 6.38019621150774 \tabularnewline
Sum Squared Residuals & 11560.7606500439 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156376&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.801512814827921[/C][/ROW]
[ROW][C]R-squared[/C][C]0.642422792333377[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.637386493633847[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]127.558516811829[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/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]6.38019621150774[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]11560.7606500439[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156376&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156376&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 R0.801512814827921
R-squared0.642422792333377
Adjusted R-squared0.637386493633847
F-TEST (value)127.558516811829
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.38019621150774
Sum Squared Residuals11560.7606500439







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13033.8338582779208-3.83385827792078
22825.61235501058882.38764498941121
33828.29019859025859.70980140974154
43030.8643598195082-0.864359819508157
52220.66305753948471.33694246051534
62618.95491891862797.04508108137213
72543.8739186361876-18.8739186361876
81813.09849599973754.90150400026253
91116.8097793400877-5.80977934008766
102629.3154207906313-3.31542079063134
112525.0436720360658-0.0436720360658506
123830.88413095063777.11586904936233
134426.734326638819117.2656733611809
143022.81635302680837.18364697319167
154033.2771166549356.72288334506505
163425.6035151158668.39648488413398
174738.38787388394558.61212611605451
183036.9339312396716-6.93393123967161
193132.9153308448453-1.91533084484529
202328.5374187317063-5.53741873170633
213633.72222309602852.27777690397154
223632.371450947473.62854905252996
233036.4959380020696-6.49593800206962
242524.95373514384940.0462648561506138
253927.495831805327311.5041681946727
263427.50358035203466.4964196479654
273127.88682071927173.11317928072833
283131.5059573321368-0.505957332136765
293330.29838981890272.70161018109728
302519.93482082858785.0651791714122
313330.67876945907062.32123054092942
323533.63172294911551.36827705088454
334227.92533664588614.074663354114
344334.15771703993988.84228296006023
353019.761065745758510.2389342542415
363338.0940473267264-5.09404732672639
371317.8881221968734-4.88812219687339
383227.16153258328754.83846741671248
393635.84728321720380.152716782796174
4009.72968761104562-9.72968761104562
412825.06218976682112.93781023317887
421418.6302825607999-4.63028256079985
431717.4547862610718-0.454786261071773
443233.7263028643394-1.72630286433943
453032.2665954161224-2.26659541612242
463524.424522100135410.5754778998646
472023.7069942166779-3.70699421667792
482826.12335000035941.87664999964063
492820.90513223418697.09486776581315
503922.538356874857416.4616431251426
513438.8736010492713-4.87360104927134
522616.80204994703069.19795005296943
533929.31947603487629.6805239651238
543939.8504467002612-0.850446700261181
553326.31665136162536.68334863837473
562827.03922394240050.960776057599513
57411.187850881365-7.187850881365
583940.5694492862543-1.56944928625426
591816.03069948576251.96930051423745
601418.2188523305287-4.21885233052867
612930.6455870461424-1.64558704614244
624438.09786196372655.90213803627353
632140.7952127748612-19.7952127748612
641617.4501163299002-1.45011632990022
652837.7902161427348-9.79021614273476
663536.5521404921971-1.55214049219706
672828.3368828165419-0.336882816541867
683840.9073143663301-2.90731436633011
692339.4210216984346-16.4210216984346
703624.324533698050611.6754663019494
713230.42217859342681.57782140657316
722930.6812892554758-1.68128925547585
732525.6566189098105-0.656618909810515
742728.9780692042569-1.97806920425692
753628.18295918701647.81704081298357
762830.833530449314-2.833530449314
772324.3912252320872-1.39122523208719
784027.202414204929712.7975857950703
792315.741934540627.25806545938003
804028.132069319434211.8679306805658
812828.2385932112014-0.23859321120141
823425.85424850817898.14575149182111
833334.7918535560275-1.7918535560275
842833.843668659009-5.843668659009
853439.9328036561992-5.93280365619922
863024.21490305421595.78509694578413
873324.60708535967458.39291464032546
882220.67942435899261.32057564100741
893839.9281374502531-1.92813745025311
902621.30674541893884.69325458106125
913530.48904484083324.51095515916685
92819.9103302918285-11.9103302918285
932417.78564712166856.21435287833146
942926.73454217745212.26545782254789
952018.75382524820381.24617475179619
962933.9339384569639-4.9339384569639
974529.377300669343515.6226993306565
983731.75025704617435.24974295382567
993325.55041457024697.44958542975312
1003332.35134438876720.648655611232812
1012522.79521495746252.2047850425375
1023228.19403705463913.80596294536093
1032934.9129314003096-5.91293140030955
1042830.806629267513-2.80662926751302
1052834.7843523517845-6.78435235178453
1063140.33121031144-9.33121031143996
1075236.808456622785815.1915433772142
1082116.8444122748474.15558772515297
1092446.2274514688477-22.2274514688477
1104132.92036136062488.07963863937516
1113337.3119241177891-4.31192411778912
1123221.474730593254210.5252694067458
1131916.53080407644992.46919592355008
1142022.8432449634046-2.84324496340458
1153129.98430556217221.01569443782784
1163129.76115996129741.23884003870258
1173232.5048191468416-0.504819146841643
1181826.4831150716787-8.48311507167872
1192332.6236755632204-9.62367556322039
1201718.1254367860205-1.12543678602048
1212021.4911844252517-1.49118442525169
1221214.2662919973651-2.26629199736514
1231720.2801239698626-3.28012396986261
1243028.22198205864661.77801794135338
1253134.1608467590553-3.16084675905527
1261016.0770628081757-6.0770628081757
1271319.1455999527413-6.14559995274135
1282221.8170895508510.182910449148993
1294234.25435168002057.74564831997946
130110.8148425648508-9.81484256485077
131912.6345261876062-3.63452618760617
1323225.5326919803876.467308019613
1331115.4867677389228-4.48676773892279
1342518.15507043109936.84492956890072
1353622.788802793935113.2111972060649
1363138.9664943109585-7.96649431095846
137010.512452307997-10.512452307997
1382431.0514485553539-7.05144855535388
1391314.8416842594081-1.84168425940811
140813.0852043117534-5.08520431175338
1411312.92822352170540.0717764782945623
1421923.833545928879-4.83354592887896
1431815.9140451124462.08595488755397
1443331.51290396519931.4870960348007
1454030.73371810224739.26628189775268
1462216.52910532773935.47089467226072
1473825.032992890589812.9670071094102
1482424.5542300619487-0.554230061948695
149812.4089900684756-4.40899006847564
1503525.88620681624149.11379318375864
1514335.20017168343637.79982831656365
1524329.562303738234913.4376962617651
1531418.9414418175259-4.94144181752595
1544139.68902767658381.31097232341623
1553835.14495315125112.85504684874889
1564551.9603417174785-6.96034171747851
1573125.83591977628915.16408022371094
1581317.770049390449-4.77004939044903
1592819.67576573139438.32423426860573
1603131.7562693528173-0.756269352817258
1614042.1197180920959-2.11971809209588
1623023.63644232012526.36355767987477
1631621.6107489628857-5.61074896288566
1643741.6071085146826-4.60710851468264
1653022.36263227344187.63736772655816
1663529.54914077708675.45085922291325
1673225.47011229965926.52988770034078
1682725.18736735227061.81263264772943
1692019.89276593769830.107234062301722
1701831.1879556035702-13.1879556035702
1713136.2920782855841-5.29207828558415
1723133.4500104104038-2.45001041040384
1732122.0550432687428-1.05504326874281
1743935.27272463547213.72727536452787
1754127.714342140536613.2856578594634
1761319.8038813205488-6.80388132054879
1773234.6714904866564-2.67149048665638
1781816.53200216368891.46799783631107
1793936.63071623820142.3692837617986
1801419.4237087040912-5.42370870409118
181717.065138487158-10.065138487158
1821717.7555435181287-0.755543518128749
183010.657551533328-10.657551533328
1843026.8899824265813.11001757341896
1853732.24671877481994.75328122518012
18609.90220341203886-9.90220341203886
187512.5766343915435-7.57663439154349
188110.5875280237102-9.58752802371019
1891620.5586703926976-4.55867039269757
1903217.897748784335114.1022512156649
1912425.2394856488327-1.2394856488327
1921717.3280137305849-0.328013730584884
1931116.283090620209-5.28309062020898
1942416.07543038390067.92456961609937
1952224.3992835465319-2.39928354653186
1961220.3677527105392-8.36775271053923
1971915.80627240826233.1937275917377
1981320.194376116029-7.19437611602902
1991720.7777791511477-3.77777915114772
2001519.1642116932223-4.16421169322231
2011616.8002997548416-0.80029975484162
2022413.406189319112210.5938106808878
2031520.3934306834012-5.39343068340122
2041719.6528036645687-2.65280366456873
2051817.04150560448790.958494395512078
2062013.50651739822256.49348260177751
2071615.90555449629710.0944455037028917
2081623.6654398405948-7.66543984059475
2091820.0341092384383-2.03410923843832
2102218.83888094681633.16111905318374
211816.5132637069634-8.51326370696337
2121719.3873410099676-2.38734100996758
2131814.7699087230873.23009127691296
2141616.5933986263922-0.593398626392177
2152316.37773665528796.62226334471208
2162213.58247744092188.4175225590782
2171314.9995263801215-1.99952638012149
2181316.3289620522079-3.32896205220791
2191615.12888448106990.871115518930093
2201615.39035177750080.609648222499246
2212016.82803153819113.17196846180887
2222221.24933845966550.750661540334514
2231718.2573973934587-1.25739739345868
2241816.57126412666891.42873587333106
2251711.39483105126335.60516894873674
2261219.7775060620441-7.77750606204407
227717.0058069190199-10.0058069190199
2281718.0426551307011-1.04265513070112
2291414.7351844865707-0.735184486570736
2302319.61164157559313.38835842440691
2311711.25613756495895.74386243504111
2321416.9073481259287-2.90734812592867
2331519.4734014001772-4.47340140017716
2341714.20819225751852.79180774248147
2352117.24535387116533.75464612883465
2361815.38739509103672.61260490896335
2371821.2995592505285-3.29955925052848
2381713.51416559746523.48583440253476
2391715.63316650359031.36683349640972
2401613.51941820570942.48058179429061
2411518.2260174009877-3.22601740098771
2422122.8762520003329-1.87625200033291
2431614.23567029541511.76432970458494
2441415.1597871328778-1.15978713287782
2451516.6600639260822-1.66006392608224
2461718.3359706073586-1.33597060735856
2471519.8708874272224-4.87088742722245
2481516.8640452503757-1.86404525037568
2491017.8229985089302-7.82299850893022
250615.0235708444378-9.02357084443781
2512222.211528862844-0.211528862843968
2522119.78783984374251.21216015625751
253110.9473777340391-9.94737773403911
2541817.58591665742970.414083342570281
2551716.03392285955590.966077140444056
256411.2646861163869-7.26468611638694
2571013.7263273272751-3.72632732727506
2581616.9389251047177-0.938925104717708
2591614.07024309640531.92975690359473
260912.8523638143546-3.85236381435461
2611611.25794705426034.74205294573971
2621716.40682415041760.593175849582443
263711.6646621809468-4.66466218094682
2641514.6581930303070.34180696969301
2651415.8201364038926-1.82013640389264
2661416.8683827796038-2.86838277960378
2671815.66315710716242.33684289283756
2681215.8329049537499-3.83290495374991
2691618.6045507258503-2.60455072585032
2702118.83902198572712.16097801427285
2711918.13936469425020.86063530574984
2721616.0095918968583-0.00959189685832874
273111.7791013350208-10.7791013350208
2741618.432974521978-2.43297452197801
2751014.8809133293827-4.88091332938266
2761915.38529830348393.61470169651607
2771214.9879237546437-2.98792375464368
278211.0256165665146-9.02561656651464
2791416.8133645005339-2.81336450053389
2801716.30476268188460.695237318115392
2811916.35858019038392.64141980961612
2821421.6057191846178-7.60571918461776
2831117.6772565652294-6.67725656522943
284411.9866282631515-7.98662826315146
2851614.69713259676461.30286740323538
2862015.69811492334644.30188507665365
2871213.3167069151632-1.3167069151632
2881517.0279157647195-2.02791576471953
2891615.44391703809930.556082961900743

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 30 & 33.8338582779208 & -3.83385827792078 \tabularnewline
2 & 28 & 25.6123550105888 & 2.38764498941121 \tabularnewline
3 & 38 & 28.2901985902585 & 9.70980140974154 \tabularnewline
4 & 30 & 30.8643598195082 & -0.864359819508157 \tabularnewline
5 & 22 & 20.6630575394847 & 1.33694246051534 \tabularnewline
6 & 26 & 18.9549189186279 & 7.04508108137213 \tabularnewline
7 & 25 & 43.8739186361876 & -18.8739186361876 \tabularnewline
8 & 18 & 13.0984959997375 & 4.90150400026253 \tabularnewline
9 & 11 & 16.8097793400877 & -5.80977934008766 \tabularnewline
10 & 26 & 29.3154207906313 & -3.31542079063134 \tabularnewline
11 & 25 & 25.0436720360658 & -0.0436720360658506 \tabularnewline
12 & 38 & 30.8841309506377 & 7.11586904936233 \tabularnewline
13 & 44 & 26.7343266388191 & 17.2656733611809 \tabularnewline
14 & 30 & 22.8163530268083 & 7.18364697319167 \tabularnewline
15 & 40 & 33.277116654935 & 6.72288334506505 \tabularnewline
16 & 34 & 25.603515115866 & 8.39648488413398 \tabularnewline
17 & 47 & 38.3878738839455 & 8.61212611605451 \tabularnewline
18 & 30 & 36.9339312396716 & -6.93393123967161 \tabularnewline
19 & 31 & 32.9153308448453 & -1.91533084484529 \tabularnewline
20 & 23 & 28.5374187317063 & -5.53741873170633 \tabularnewline
21 & 36 & 33.7222230960285 & 2.27777690397154 \tabularnewline
22 & 36 & 32.37145094747 & 3.62854905252996 \tabularnewline
23 & 30 & 36.4959380020696 & -6.49593800206962 \tabularnewline
24 & 25 & 24.9537351438494 & 0.0462648561506138 \tabularnewline
25 & 39 & 27.4958318053273 & 11.5041681946727 \tabularnewline
26 & 34 & 27.5035803520346 & 6.4964196479654 \tabularnewline
27 & 31 & 27.8868207192717 & 3.11317928072833 \tabularnewline
28 & 31 & 31.5059573321368 & -0.505957332136765 \tabularnewline
29 & 33 & 30.2983898189027 & 2.70161018109728 \tabularnewline
30 & 25 & 19.9348208285878 & 5.0651791714122 \tabularnewline
31 & 33 & 30.6787694590706 & 2.32123054092942 \tabularnewline
32 & 35 & 33.6317229491155 & 1.36827705088454 \tabularnewline
33 & 42 & 27.925336645886 & 14.074663354114 \tabularnewline
34 & 43 & 34.1577170399398 & 8.84228296006023 \tabularnewline
35 & 30 & 19.7610657457585 & 10.2389342542415 \tabularnewline
36 & 33 & 38.0940473267264 & -5.09404732672639 \tabularnewline
37 & 13 & 17.8881221968734 & -4.88812219687339 \tabularnewline
38 & 32 & 27.1615325832875 & 4.83846741671248 \tabularnewline
39 & 36 & 35.8472832172038 & 0.152716782796174 \tabularnewline
40 & 0 & 9.72968761104562 & -9.72968761104562 \tabularnewline
41 & 28 & 25.0621897668211 & 2.93781023317887 \tabularnewline
42 & 14 & 18.6302825607999 & -4.63028256079985 \tabularnewline
43 & 17 & 17.4547862610718 & -0.454786261071773 \tabularnewline
44 & 32 & 33.7263028643394 & -1.72630286433943 \tabularnewline
45 & 30 & 32.2665954161224 & -2.26659541612242 \tabularnewline
46 & 35 & 24.4245221001354 & 10.5754778998646 \tabularnewline
47 & 20 & 23.7069942166779 & -3.70699421667792 \tabularnewline
48 & 28 & 26.1233500003594 & 1.87664999964063 \tabularnewline
49 & 28 & 20.9051322341869 & 7.09486776581315 \tabularnewline
50 & 39 & 22.5383568748574 & 16.4616431251426 \tabularnewline
51 & 34 & 38.8736010492713 & -4.87360104927134 \tabularnewline
52 & 26 & 16.8020499470306 & 9.19795005296943 \tabularnewline
53 & 39 & 29.3194760348762 & 9.6805239651238 \tabularnewline
54 & 39 & 39.8504467002612 & -0.850446700261181 \tabularnewline
55 & 33 & 26.3166513616253 & 6.68334863837473 \tabularnewline
56 & 28 & 27.0392239424005 & 0.960776057599513 \tabularnewline
57 & 4 & 11.187850881365 & -7.187850881365 \tabularnewline
58 & 39 & 40.5694492862543 & -1.56944928625426 \tabularnewline
59 & 18 & 16.0306994857625 & 1.96930051423745 \tabularnewline
60 & 14 & 18.2188523305287 & -4.21885233052867 \tabularnewline
61 & 29 & 30.6455870461424 & -1.64558704614244 \tabularnewline
62 & 44 & 38.0978619637265 & 5.90213803627353 \tabularnewline
63 & 21 & 40.7952127748612 & -19.7952127748612 \tabularnewline
64 & 16 & 17.4501163299002 & -1.45011632990022 \tabularnewline
65 & 28 & 37.7902161427348 & -9.79021614273476 \tabularnewline
66 & 35 & 36.5521404921971 & -1.55214049219706 \tabularnewline
67 & 28 & 28.3368828165419 & -0.336882816541867 \tabularnewline
68 & 38 & 40.9073143663301 & -2.90731436633011 \tabularnewline
69 & 23 & 39.4210216984346 & -16.4210216984346 \tabularnewline
70 & 36 & 24.3245336980506 & 11.6754663019494 \tabularnewline
71 & 32 & 30.4221785934268 & 1.57782140657316 \tabularnewline
72 & 29 & 30.6812892554758 & -1.68128925547585 \tabularnewline
73 & 25 & 25.6566189098105 & -0.656618909810515 \tabularnewline
74 & 27 & 28.9780692042569 & -1.97806920425692 \tabularnewline
75 & 36 & 28.1829591870164 & 7.81704081298357 \tabularnewline
76 & 28 & 30.833530449314 & -2.833530449314 \tabularnewline
77 & 23 & 24.3912252320872 & -1.39122523208719 \tabularnewline
78 & 40 & 27.2024142049297 & 12.7975857950703 \tabularnewline
79 & 23 & 15.74193454062 & 7.25806545938003 \tabularnewline
80 & 40 & 28.1320693194342 & 11.8679306805658 \tabularnewline
81 & 28 & 28.2385932112014 & -0.23859321120141 \tabularnewline
82 & 34 & 25.8542485081789 & 8.14575149182111 \tabularnewline
83 & 33 & 34.7918535560275 & -1.7918535560275 \tabularnewline
84 & 28 & 33.843668659009 & -5.843668659009 \tabularnewline
85 & 34 & 39.9328036561992 & -5.93280365619922 \tabularnewline
86 & 30 & 24.2149030542159 & 5.78509694578413 \tabularnewline
87 & 33 & 24.6070853596745 & 8.39291464032546 \tabularnewline
88 & 22 & 20.6794243589926 & 1.32057564100741 \tabularnewline
89 & 38 & 39.9281374502531 & -1.92813745025311 \tabularnewline
90 & 26 & 21.3067454189388 & 4.69325458106125 \tabularnewline
91 & 35 & 30.4890448408332 & 4.51095515916685 \tabularnewline
92 & 8 & 19.9103302918285 & -11.9103302918285 \tabularnewline
93 & 24 & 17.7856471216685 & 6.21435287833146 \tabularnewline
94 & 29 & 26.7345421774521 & 2.26545782254789 \tabularnewline
95 & 20 & 18.7538252482038 & 1.24617475179619 \tabularnewline
96 & 29 & 33.9339384569639 & -4.9339384569639 \tabularnewline
97 & 45 & 29.3773006693435 & 15.6226993306565 \tabularnewline
98 & 37 & 31.7502570461743 & 5.24974295382567 \tabularnewline
99 & 33 & 25.5504145702469 & 7.44958542975312 \tabularnewline
100 & 33 & 32.3513443887672 & 0.648655611232812 \tabularnewline
101 & 25 & 22.7952149574625 & 2.2047850425375 \tabularnewline
102 & 32 & 28.1940370546391 & 3.80596294536093 \tabularnewline
103 & 29 & 34.9129314003096 & -5.91293140030955 \tabularnewline
104 & 28 & 30.806629267513 & -2.80662926751302 \tabularnewline
105 & 28 & 34.7843523517845 & -6.78435235178453 \tabularnewline
106 & 31 & 40.33121031144 & -9.33121031143996 \tabularnewline
107 & 52 & 36.8084566227858 & 15.1915433772142 \tabularnewline
108 & 21 & 16.844412274847 & 4.15558772515297 \tabularnewline
109 & 24 & 46.2274514688477 & -22.2274514688477 \tabularnewline
110 & 41 & 32.9203613606248 & 8.07963863937516 \tabularnewline
111 & 33 & 37.3119241177891 & -4.31192411778912 \tabularnewline
112 & 32 & 21.4747305932542 & 10.5252694067458 \tabularnewline
113 & 19 & 16.5308040764499 & 2.46919592355008 \tabularnewline
114 & 20 & 22.8432449634046 & -2.84324496340458 \tabularnewline
115 & 31 & 29.9843055621722 & 1.01569443782784 \tabularnewline
116 & 31 & 29.7611599612974 & 1.23884003870258 \tabularnewline
117 & 32 & 32.5048191468416 & -0.504819146841643 \tabularnewline
118 & 18 & 26.4831150716787 & -8.48311507167872 \tabularnewline
119 & 23 & 32.6236755632204 & -9.62367556322039 \tabularnewline
120 & 17 & 18.1254367860205 & -1.12543678602048 \tabularnewline
121 & 20 & 21.4911844252517 & -1.49118442525169 \tabularnewline
122 & 12 & 14.2662919973651 & -2.26629199736514 \tabularnewline
123 & 17 & 20.2801239698626 & -3.28012396986261 \tabularnewline
124 & 30 & 28.2219820586466 & 1.77801794135338 \tabularnewline
125 & 31 & 34.1608467590553 & -3.16084675905527 \tabularnewline
126 & 10 & 16.0770628081757 & -6.0770628081757 \tabularnewline
127 & 13 & 19.1455999527413 & -6.14559995274135 \tabularnewline
128 & 22 & 21.817089550851 & 0.182910449148993 \tabularnewline
129 & 42 & 34.2543516800205 & 7.74564831997946 \tabularnewline
130 & 1 & 10.8148425648508 & -9.81484256485077 \tabularnewline
131 & 9 & 12.6345261876062 & -3.63452618760617 \tabularnewline
132 & 32 & 25.532691980387 & 6.467308019613 \tabularnewline
133 & 11 & 15.4867677389228 & -4.48676773892279 \tabularnewline
134 & 25 & 18.1550704310993 & 6.84492956890072 \tabularnewline
135 & 36 & 22.7888027939351 & 13.2111972060649 \tabularnewline
136 & 31 & 38.9664943109585 & -7.96649431095846 \tabularnewline
137 & 0 & 10.512452307997 & -10.512452307997 \tabularnewline
138 & 24 & 31.0514485553539 & -7.05144855535388 \tabularnewline
139 & 13 & 14.8416842594081 & -1.84168425940811 \tabularnewline
140 & 8 & 13.0852043117534 & -5.08520431175338 \tabularnewline
141 & 13 & 12.9282235217054 & 0.0717764782945623 \tabularnewline
142 & 19 & 23.833545928879 & -4.83354592887896 \tabularnewline
143 & 18 & 15.914045112446 & 2.08595488755397 \tabularnewline
144 & 33 & 31.5129039651993 & 1.4870960348007 \tabularnewline
145 & 40 & 30.7337181022473 & 9.26628189775268 \tabularnewline
146 & 22 & 16.5291053277393 & 5.47089467226072 \tabularnewline
147 & 38 & 25.0329928905898 & 12.9670071094102 \tabularnewline
148 & 24 & 24.5542300619487 & -0.554230061948695 \tabularnewline
149 & 8 & 12.4089900684756 & -4.40899006847564 \tabularnewline
150 & 35 & 25.8862068162414 & 9.11379318375864 \tabularnewline
151 & 43 & 35.2001716834363 & 7.79982831656365 \tabularnewline
152 & 43 & 29.5623037382349 & 13.4376962617651 \tabularnewline
153 & 14 & 18.9414418175259 & -4.94144181752595 \tabularnewline
154 & 41 & 39.6890276765838 & 1.31097232341623 \tabularnewline
155 & 38 & 35.1449531512511 & 2.85504684874889 \tabularnewline
156 & 45 & 51.9603417174785 & -6.96034171747851 \tabularnewline
157 & 31 & 25.8359197762891 & 5.16408022371094 \tabularnewline
158 & 13 & 17.770049390449 & -4.77004939044903 \tabularnewline
159 & 28 & 19.6757657313943 & 8.32423426860573 \tabularnewline
160 & 31 & 31.7562693528173 & -0.756269352817258 \tabularnewline
161 & 40 & 42.1197180920959 & -2.11971809209588 \tabularnewline
162 & 30 & 23.6364423201252 & 6.36355767987477 \tabularnewline
163 & 16 & 21.6107489628857 & -5.61074896288566 \tabularnewline
164 & 37 & 41.6071085146826 & -4.60710851468264 \tabularnewline
165 & 30 & 22.3626322734418 & 7.63736772655816 \tabularnewline
166 & 35 & 29.5491407770867 & 5.45085922291325 \tabularnewline
167 & 32 & 25.4701122996592 & 6.52988770034078 \tabularnewline
168 & 27 & 25.1873673522706 & 1.81263264772943 \tabularnewline
169 & 20 & 19.8927659376983 & 0.107234062301722 \tabularnewline
170 & 18 & 31.1879556035702 & -13.1879556035702 \tabularnewline
171 & 31 & 36.2920782855841 & -5.29207828558415 \tabularnewline
172 & 31 & 33.4500104104038 & -2.45001041040384 \tabularnewline
173 & 21 & 22.0550432687428 & -1.05504326874281 \tabularnewline
174 & 39 & 35.2727246354721 & 3.72727536452787 \tabularnewline
175 & 41 & 27.7143421405366 & 13.2856578594634 \tabularnewline
176 & 13 & 19.8038813205488 & -6.80388132054879 \tabularnewline
177 & 32 & 34.6714904866564 & -2.67149048665638 \tabularnewline
178 & 18 & 16.5320021636889 & 1.46799783631107 \tabularnewline
179 & 39 & 36.6307162382014 & 2.3692837617986 \tabularnewline
180 & 14 & 19.4237087040912 & -5.42370870409118 \tabularnewline
181 & 7 & 17.065138487158 & -10.065138487158 \tabularnewline
182 & 17 & 17.7555435181287 & -0.755543518128749 \tabularnewline
183 & 0 & 10.657551533328 & -10.657551533328 \tabularnewline
184 & 30 & 26.889982426581 & 3.11001757341896 \tabularnewline
185 & 37 & 32.2467187748199 & 4.75328122518012 \tabularnewline
186 & 0 & 9.90220341203886 & -9.90220341203886 \tabularnewline
187 & 5 & 12.5766343915435 & -7.57663439154349 \tabularnewline
188 & 1 & 10.5875280237102 & -9.58752802371019 \tabularnewline
189 & 16 & 20.5586703926976 & -4.55867039269757 \tabularnewline
190 & 32 & 17.8977487843351 & 14.1022512156649 \tabularnewline
191 & 24 & 25.2394856488327 & -1.2394856488327 \tabularnewline
192 & 17 & 17.3280137305849 & -0.328013730584884 \tabularnewline
193 & 11 & 16.283090620209 & -5.28309062020898 \tabularnewline
194 & 24 & 16.0754303839006 & 7.92456961609937 \tabularnewline
195 & 22 & 24.3992835465319 & -2.39928354653186 \tabularnewline
196 & 12 & 20.3677527105392 & -8.36775271053923 \tabularnewline
197 & 19 & 15.8062724082623 & 3.1937275917377 \tabularnewline
198 & 13 & 20.194376116029 & -7.19437611602902 \tabularnewline
199 & 17 & 20.7777791511477 & -3.77777915114772 \tabularnewline
200 & 15 & 19.1642116932223 & -4.16421169322231 \tabularnewline
201 & 16 & 16.8002997548416 & -0.80029975484162 \tabularnewline
202 & 24 & 13.4061893191122 & 10.5938106808878 \tabularnewline
203 & 15 & 20.3934306834012 & -5.39343068340122 \tabularnewline
204 & 17 & 19.6528036645687 & -2.65280366456873 \tabularnewline
205 & 18 & 17.0415056044879 & 0.958494395512078 \tabularnewline
206 & 20 & 13.5065173982225 & 6.49348260177751 \tabularnewline
207 & 16 & 15.9055544962971 & 0.0944455037028917 \tabularnewline
208 & 16 & 23.6654398405948 & -7.66543984059475 \tabularnewline
209 & 18 & 20.0341092384383 & -2.03410923843832 \tabularnewline
210 & 22 & 18.8388809468163 & 3.16111905318374 \tabularnewline
211 & 8 & 16.5132637069634 & -8.51326370696337 \tabularnewline
212 & 17 & 19.3873410099676 & -2.38734100996758 \tabularnewline
213 & 18 & 14.769908723087 & 3.23009127691296 \tabularnewline
214 & 16 & 16.5933986263922 & -0.593398626392177 \tabularnewline
215 & 23 & 16.3777366552879 & 6.62226334471208 \tabularnewline
216 & 22 & 13.5824774409218 & 8.4175225590782 \tabularnewline
217 & 13 & 14.9995263801215 & -1.99952638012149 \tabularnewline
218 & 13 & 16.3289620522079 & -3.32896205220791 \tabularnewline
219 & 16 & 15.1288844810699 & 0.871115518930093 \tabularnewline
220 & 16 & 15.3903517775008 & 0.609648222499246 \tabularnewline
221 & 20 & 16.8280315381911 & 3.17196846180887 \tabularnewline
222 & 22 & 21.2493384596655 & 0.750661540334514 \tabularnewline
223 & 17 & 18.2573973934587 & -1.25739739345868 \tabularnewline
224 & 18 & 16.5712641266689 & 1.42873587333106 \tabularnewline
225 & 17 & 11.3948310512633 & 5.60516894873674 \tabularnewline
226 & 12 & 19.7775060620441 & -7.77750606204407 \tabularnewline
227 & 7 & 17.0058069190199 & -10.0058069190199 \tabularnewline
228 & 17 & 18.0426551307011 & -1.04265513070112 \tabularnewline
229 & 14 & 14.7351844865707 & -0.735184486570736 \tabularnewline
230 & 23 & 19.6116415755931 & 3.38835842440691 \tabularnewline
231 & 17 & 11.2561375649589 & 5.74386243504111 \tabularnewline
232 & 14 & 16.9073481259287 & -2.90734812592867 \tabularnewline
233 & 15 & 19.4734014001772 & -4.47340140017716 \tabularnewline
234 & 17 & 14.2081922575185 & 2.79180774248147 \tabularnewline
235 & 21 & 17.2453538711653 & 3.75464612883465 \tabularnewline
236 & 18 & 15.3873950910367 & 2.61260490896335 \tabularnewline
237 & 18 & 21.2995592505285 & -3.29955925052848 \tabularnewline
238 & 17 & 13.5141655974652 & 3.48583440253476 \tabularnewline
239 & 17 & 15.6331665035903 & 1.36683349640972 \tabularnewline
240 & 16 & 13.5194182057094 & 2.48058179429061 \tabularnewline
241 & 15 & 18.2260174009877 & -3.22601740098771 \tabularnewline
242 & 21 & 22.8762520003329 & -1.87625200033291 \tabularnewline
243 & 16 & 14.2356702954151 & 1.76432970458494 \tabularnewline
244 & 14 & 15.1597871328778 & -1.15978713287782 \tabularnewline
245 & 15 & 16.6600639260822 & -1.66006392608224 \tabularnewline
246 & 17 & 18.3359706073586 & -1.33597060735856 \tabularnewline
247 & 15 & 19.8708874272224 & -4.87088742722245 \tabularnewline
248 & 15 & 16.8640452503757 & -1.86404525037568 \tabularnewline
249 & 10 & 17.8229985089302 & -7.82299850893022 \tabularnewline
250 & 6 & 15.0235708444378 & -9.02357084443781 \tabularnewline
251 & 22 & 22.211528862844 & -0.211528862843968 \tabularnewline
252 & 21 & 19.7878398437425 & 1.21216015625751 \tabularnewline
253 & 1 & 10.9473777340391 & -9.94737773403911 \tabularnewline
254 & 18 & 17.5859166574297 & 0.414083342570281 \tabularnewline
255 & 17 & 16.0339228595559 & 0.966077140444056 \tabularnewline
256 & 4 & 11.2646861163869 & -7.26468611638694 \tabularnewline
257 & 10 & 13.7263273272751 & -3.72632732727506 \tabularnewline
258 & 16 & 16.9389251047177 & -0.938925104717708 \tabularnewline
259 & 16 & 14.0702430964053 & 1.92975690359473 \tabularnewline
260 & 9 & 12.8523638143546 & -3.85236381435461 \tabularnewline
261 & 16 & 11.2579470542603 & 4.74205294573971 \tabularnewline
262 & 17 & 16.4068241504176 & 0.593175849582443 \tabularnewline
263 & 7 & 11.6646621809468 & -4.66466218094682 \tabularnewline
264 & 15 & 14.658193030307 & 0.34180696969301 \tabularnewline
265 & 14 & 15.8201364038926 & -1.82013640389264 \tabularnewline
266 & 14 & 16.8683827796038 & -2.86838277960378 \tabularnewline
267 & 18 & 15.6631571071624 & 2.33684289283756 \tabularnewline
268 & 12 & 15.8329049537499 & -3.83290495374991 \tabularnewline
269 & 16 & 18.6045507258503 & -2.60455072585032 \tabularnewline
270 & 21 & 18.8390219857271 & 2.16097801427285 \tabularnewline
271 & 19 & 18.1393646942502 & 0.86063530574984 \tabularnewline
272 & 16 & 16.0095918968583 & -0.00959189685832874 \tabularnewline
273 & 1 & 11.7791013350208 & -10.7791013350208 \tabularnewline
274 & 16 & 18.432974521978 & -2.43297452197801 \tabularnewline
275 & 10 & 14.8809133293827 & -4.88091332938266 \tabularnewline
276 & 19 & 15.3852983034839 & 3.61470169651607 \tabularnewline
277 & 12 & 14.9879237546437 & -2.98792375464368 \tabularnewline
278 & 2 & 11.0256165665146 & -9.02561656651464 \tabularnewline
279 & 14 & 16.8133645005339 & -2.81336450053389 \tabularnewline
280 & 17 & 16.3047626818846 & 0.695237318115392 \tabularnewline
281 & 19 & 16.3585801903839 & 2.64141980961612 \tabularnewline
282 & 14 & 21.6057191846178 & -7.60571918461776 \tabularnewline
283 & 11 & 17.6772565652294 & -6.67725656522943 \tabularnewline
284 & 4 & 11.9866282631515 & -7.98662826315146 \tabularnewline
285 & 16 & 14.6971325967646 & 1.30286740323538 \tabularnewline
286 & 20 & 15.6981149233464 & 4.30188507665365 \tabularnewline
287 & 12 & 13.3167069151632 & -1.3167069151632 \tabularnewline
288 & 15 & 17.0279157647195 & -2.02791576471953 \tabularnewline
289 & 16 & 15.4439170380993 & 0.556082961900743 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156376&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]30[/C][C]33.8338582779208[/C][C]-3.83385827792078[/C][/ROW]
[ROW][C]2[/C][C]28[/C][C]25.6123550105888[/C][C]2.38764498941121[/C][/ROW]
[ROW][C]3[/C][C]38[/C][C]28.2901985902585[/C][C]9.70980140974154[/C][/ROW]
[ROW][C]4[/C][C]30[/C][C]30.8643598195082[/C][C]-0.864359819508157[/C][/ROW]
[ROW][C]5[/C][C]22[/C][C]20.6630575394847[/C][C]1.33694246051534[/C][/ROW]
[ROW][C]6[/C][C]26[/C][C]18.9549189186279[/C][C]7.04508108137213[/C][/ROW]
[ROW][C]7[/C][C]25[/C][C]43.8739186361876[/C][C]-18.8739186361876[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]13.0984959997375[/C][C]4.90150400026253[/C][/ROW]
[ROW][C]9[/C][C]11[/C][C]16.8097793400877[/C][C]-5.80977934008766[/C][/ROW]
[ROW][C]10[/C][C]26[/C][C]29.3154207906313[/C][C]-3.31542079063134[/C][/ROW]
[ROW][C]11[/C][C]25[/C][C]25.0436720360658[/C][C]-0.0436720360658506[/C][/ROW]
[ROW][C]12[/C][C]38[/C][C]30.8841309506377[/C][C]7.11586904936233[/C][/ROW]
[ROW][C]13[/C][C]44[/C][C]26.7343266388191[/C][C]17.2656733611809[/C][/ROW]
[ROW][C]14[/C][C]30[/C][C]22.8163530268083[/C][C]7.18364697319167[/C][/ROW]
[ROW][C]15[/C][C]40[/C][C]33.277116654935[/C][C]6.72288334506505[/C][/ROW]
[ROW][C]16[/C][C]34[/C][C]25.603515115866[/C][C]8.39648488413398[/C][/ROW]
[ROW][C]17[/C][C]47[/C][C]38.3878738839455[/C][C]8.61212611605451[/C][/ROW]
[ROW][C]18[/C][C]30[/C][C]36.9339312396716[/C][C]-6.93393123967161[/C][/ROW]
[ROW][C]19[/C][C]31[/C][C]32.9153308448453[/C][C]-1.91533084484529[/C][/ROW]
[ROW][C]20[/C][C]23[/C][C]28.5374187317063[/C][C]-5.53741873170633[/C][/ROW]
[ROW][C]21[/C][C]36[/C][C]33.7222230960285[/C][C]2.27777690397154[/C][/ROW]
[ROW][C]22[/C][C]36[/C][C]32.37145094747[/C][C]3.62854905252996[/C][/ROW]
[ROW][C]23[/C][C]30[/C][C]36.4959380020696[/C][C]-6.49593800206962[/C][/ROW]
[ROW][C]24[/C][C]25[/C][C]24.9537351438494[/C][C]0.0462648561506138[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]27.4958318053273[/C][C]11.5041681946727[/C][/ROW]
[ROW][C]26[/C][C]34[/C][C]27.5035803520346[/C][C]6.4964196479654[/C][/ROW]
[ROW][C]27[/C][C]31[/C][C]27.8868207192717[/C][C]3.11317928072833[/C][/ROW]
[ROW][C]28[/C][C]31[/C][C]31.5059573321368[/C][C]-0.505957332136765[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]30.2983898189027[/C][C]2.70161018109728[/C][/ROW]
[ROW][C]30[/C][C]25[/C][C]19.9348208285878[/C][C]5.0651791714122[/C][/ROW]
[ROW][C]31[/C][C]33[/C][C]30.6787694590706[/C][C]2.32123054092942[/C][/ROW]
[ROW][C]32[/C][C]35[/C][C]33.6317229491155[/C][C]1.36827705088454[/C][/ROW]
[ROW][C]33[/C][C]42[/C][C]27.925336645886[/C][C]14.074663354114[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]34.1577170399398[/C][C]8.84228296006023[/C][/ROW]
[ROW][C]35[/C][C]30[/C][C]19.7610657457585[/C][C]10.2389342542415[/C][/ROW]
[ROW][C]36[/C][C]33[/C][C]38.0940473267264[/C][C]-5.09404732672639[/C][/ROW]
[ROW][C]37[/C][C]13[/C][C]17.8881221968734[/C][C]-4.88812219687339[/C][/ROW]
[ROW][C]38[/C][C]32[/C][C]27.1615325832875[/C][C]4.83846741671248[/C][/ROW]
[ROW][C]39[/C][C]36[/C][C]35.8472832172038[/C][C]0.152716782796174[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]9.72968761104562[/C][C]-9.72968761104562[/C][/ROW]
[ROW][C]41[/C][C]28[/C][C]25.0621897668211[/C][C]2.93781023317887[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]18.6302825607999[/C][C]-4.63028256079985[/C][/ROW]
[ROW][C]43[/C][C]17[/C][C]17.4547862610718[/C][C]-0.454786261071773[/C][/ROW]
[ROW][C]44[/C][C]32[/C][C]33.7263028643394[/C][C]-1.72630286433943[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]32.2665954161224[/C][C]-2.26659541612242[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]24.4245221001354[/C][C]10.5754778998646[/C][/ROW]
[ROW][C]47[/C][C]20[/C][C]23.7069942166779[/C][C]-3.70699421667792[/C][/ROW]
[ROW][C]48[/C][C]28[/C][C]26.1233500003594[/C][C]1.87664999964063[/C][/ROW]
[ROW][C]49[/C][C]28[/C][C]20.9051322341869[/C][C]7.09486776581315[/C][/ROW]
[ROW][C]50[/C][C]39[/C][C]22.5383568748574[/C][C]16.4616431251426[/C][/ROW]
[ROW][C]51[/C][C]34[/C][C]38.8736010492713[/C][C]-4.87360104927134[/C][/ROW]
[ROW][C]52[/C][C]26[/C][C]16.8020499470306[/C][C]9.19795005296943[/C][/ROW]
[ROW][C]53[/C][C]39[/C][C]29.3194760348762[/C][C]9.6805239651238[/C][/ROW]
[ROW][C]54[/C][C]39[/C][C]39.8504467002612[/C][C]-0.850446700261181[/C][/ROW]
[ROW][C]55[/C][C]33[/C][C]26.3166513616253[/C][C]6.68334863837473[/C][/ROW]
[ROW][C]56[/C][C]28[/C][C]27.0392239424005[/C][C]0.960776057599513[/C][/ROW]
[ROW][C]57[/C][C]4[/C][C]11.187850881365[/C][C]-7.187850881365[/C][/ROW]
[ROW][C]58[/C][C]39[/C][C]40.5694492862543[/C][C]-1.56944928625426[/C][/ROW]
[ROW][C]59[/C][C]18[/C][C]16.0306994857625[/C][C]1.96930051423745[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]18.2188523305287[/C][C]-4.21885233052867[/C][/ROW]
[ROW][C]61[/C][C]29[/C][C]30.6455870461424[/C][C]-1.64558704614244[/C][/ROW]
[ROW][C]62[/C][C]44[/C][C]38.0978619637265[/C][C]5.90213803627353[/C][/ROW]
[ROW][C]63[/C][C]21[/C][C]40.7952127748612[/C][C]-19.7952127748612[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]17.4501163299002[/C][C]-1.45011632990022[/C][/ROW]
[ROW][C]65[/C][C]28[/C][C]37.7902161427348[/C][C]-9.79021614273476[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]36.5521404921971[/C][C]-1.55214049219706[/C][/ROW]
[ROW][C]67[/C][C]28[/C][C]28.3368828165419[/C][C]-0.336882816541867[/C][/ROW]
[ROW][C]68[/C][C]38[/C][C]40.9073143663301[/C][C]-2.90731436633011[/C][/ROW]
[ROW][C]69[/C][C]23[/C][C]39.4210216984346[/C][C]-16.4210216984346[/C][/ROW]
[ROW][C]70[/C][C]36[/C][C]24.3245336980506[/C][C]11.6754663019494[/C][/ROW]
[ROW][C]71[/C][C]32[/C][C]30.4221785934268[/C][C]1.57782140657316[/C][/ROW]
[ROW][C]72[/C][C]29[/C][C]30.6812892554758[/C][C]-1.68128925547585[/C][/ROW]
[ROW][C]73[/C][C]25[/C][C]25.6566189098105[/C][C]-0.656618909810515[/C][/ROW]
[ROW][C]74[/C][C]27[/C][C]28.9780692042569[/C][C]-1.97806920425692[/C][/ROW]
[ROW][C]75[/C][C]36[/C][C]28.1829591870164[/C][C]7.81704081298357[/C][/ROW]
[ROW][C]76[/C][C]28[/C][C]30.833530449314[/C][C]-2.833530449314[/C][/ROW]
[ROW][C]77[/C][C]23[/C][C]24.3912252320872[/C][C]-1.39122523208719[/C][/ROW]
[ROW][C]78[/C][C]40[/C][C]27.2024142049297[/C][C]12.7975857950703[/C][/ROW]
[ROW][C]79[/C][C]23[/C][C]15.74193454062[/C][C]7.25806545938003[/C][/ROW]
[ROW][C]80[/C][C]40[/C][C]28.1320693194342[/C][C]11.8679306805658[/C][/ROW]
[ROW][C]81[/C][C]28[/C][C]28.2385932112014[/C][C]-0.23859321120141[/C][/ROW]
[ROW][C]82[/C][C]34[/C][C]25.8542485081789[/C][C]8.14575149182111[/C][/ROW]
[ROW][C]83[/C][C]33[/C][C]34.7918535560275[/C][C]-1.7918535560275[/C][/ROW]
[ROW][C]84[/C][C]28[/C][C]33.843668659009[/C][C]-5.843668659009[/C][/ROW]
[ROW][C]85[/C][C]34[/C][C]39.9328036561992[/C][C]-5.93280365619922[/C][/ROW]
[ROW][C]86[/C][C]30[/C][C]24.2149030542159[/C][C]5.78509694578413[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]24.6070853596745[/C][C]8.39291464032546[/C][/ROW]
[ROW][C]88[/C][C]22[/C][C]20.6794243589926[/C][C]1.32057564100741[/C][/ROW]
[ROW][C]89[/C][C]38[/C][C]39.9281374502531[/C][C]-1.92813745025311[/C][/ROW]
[ROW][C]90[/C][C]26[/C][C]21.3067454189388[/C][C]4.69325458106125[/C][/ROW]
[ROW][C]91[/C][C]35[/C][C]30.4890448408332[/C][C]4.51095515916685[/C][/ROW]
[ROW][C]92[/C][C]8[/C][C]19.9103302918285[/C][C]-11.9103302918285[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]17.7856471216685[/C][C]6.21435287833146[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]26.7345421774521[/C][C]2.26545782254789[/C][/ROW]
[ROW][C]95[/C][C]20[/C][C]18.7538252482038[/C][C]1.24617475179619[/C][/ROW]
[ROW][C]96[/C][C]29[/C][C]33.9339384569639[/C][C]-4.9339384569639[/C][/ROW]
[ROW][C]97[/C][C]45[/C][C]29.3773006693435[/C][C]15.6226993306565[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]31.7502570461743[/C][C]5.24974295382567[/C][/ROW]
[ROW][C]99[/C][C]33[/C][C]25.5504145702469[/C][C]7.44958542975312[/C][/ROW]
[ROW][C]100[/C][C]33[/C][C]32.3513443887672[/C][C]0.648655611232812[/C][/ROW]
[ROW][C]101[/C][C]25[/C][C]22.7952149574625[/C][C]2.2047850425375[/C][/ROW]
[ROW][C]102[/C][C]32[/C][C]28.1940370546391[/C][C]3.80596294536093[/C][/ROW]
[ROW][C]103[/C][C]29[/C][C]34.9129314003096[/C][C]-5.91293140030955[/C][/ROW]
[ROW][C]104[/C][C]28[/C][C]30.806629267513[/C][C]-2.80662926751302[/C][/ROW]
[ROW][C]105[/C][C]28[/C][C]34.7843523517845[/C][C]-6.78435235178453[/C][/ROW]
[ROW][C]106[/C][C]31[/C][C]40.33121031144[/C][C]-9.33121031143996[/C][/ROW]
[ROW][C]107[/C][C]52[/C][C]36.8084566227858[/C][C]15.1915433772142[/C][/ROW]
[ROW][C]108[/C][C]21[/C][C]16.844412274847[/C][C]4.15558772515297[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]46.2274514688477[/C][C]-22.2274514688477[/C][/ROW]
[ROW][C]110[/C][C]41[/C][C]32.9203613606248[/C][C]8.07963863937516[/C][/ROW]
[ROW][C]111[/C][C]33[/C][C]37.3119241177891[/C][C]-4.31192411778912[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]21.4747305932542[/C][C]10.5252694067458[/C][/ROW]
[ROW][C]113[/C][C]19[/C][C]16.5308040764499[/C][C]2.46919592355008[/C][/ROW]
[ROW][C]114[/C][C]20[/C][C]22.8432449634046[/C][C]-2.84324496340458[/C][/ROW]
[ROW][C]115[/C][C]31[/C][C]29.9843055621722[/C][C]1.01569443782784[/C][/ROW]
[ROW][C]116[/C][C]31[/C][C]29.7611599612974[/C][C]1.23884003870258[/C][/ROW]
[ROW][C]117[/C][C]32[/C][C]32.5048191468416[/C][C]-0.504819146841643[/C][/ROW]
[ROW][C]118[/C][C]18[/C][C]26.4831150716787[/C][C]-8.48311507167872[/C][/ROW]
[ROW][C]119[/C][C]23[/C][C]32.6236755632204[/C][C]-9.62367556322039[/C][/ROW]
[ROW][C]120[/C][C]17[/C][C]18.1254367860205[/C][C]-1.12543678602048[/C][/ROW]
[ROW][C]121[/C][C]20[/C][C]21.4911844252517[/C][C]-1.49118442525169[/C][/ROW]
[ROW][C]122[/C][C]12[/C][C]14.2662919973651[/C][C]-2.26629199736514[/C][/ROW]
[ROW][C]123[/C][C]17[/C][C]20.2801239698626[/C][C]-3.28012396986261[/C][/ROW]
[ROW][C]124[/C][C]30[/C][C]28.2219820586466[/C][C]1.77801794135338[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]34.1608467590553[/C][C]-3.16084675905527[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]16.0770628081757[/C][C]-6.0770628081757[/C][/ROW]
[ROW][C]127[/C][C]13[/C][C]19.1455999527413[/C][C]-6.14559995274135[/C][/ROW]
[ROW][C]128[/C][C]22[/C][C]21.817089550851[/C][C]0.182910449148993[/C][/ROW]
[ROW][C]129[/C][C]42[/C][C]34.2543516800205[/C][C]7.74564831997946[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]10.8148425648508[/C][C]-9.81484256485077[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]12.6345261876062[/C][C]-3.63452618760617[/C][/ROW]
[ROW][C]132[/C][C]32[/C][C]25.532691980387[/C][C]6.467308019613[/C][/ROW]
[ROW][C]133[/C][C]11[/C][C]15.4867677389228[/C][C]-4.48676773892279[/C][/ROW]
[ROW][C]134[/C][C]25[/C][C]18.1550704310993[/C][C]6.84492956890072[/C][/ROW]
[ROW][C]135[/C][C]36[/C][C]22.7888027939351[/C][C]13.2111972060649[/C][/ROW]
[ROW][C]136[/C][C]31[/C][C]38.9664943109585[/C][C]-7.96649431095846[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]10.512452307997[/C][C]-10.512452307997[/C][/ROW]
[ROW][C]138[/C][C]24[/C][C]31.0514485553539[/C][C]-7.05144855535388[/C][/ROW]
[ROW][C]139[/C][C]13[/C][C]14.8416842594081[/C][C]-1.84168425940811[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]13.0852043117534[/C][C]-5.08520431175338[/C][/ROW]
[ROW][C]141[/C][C]13[/C][C]12.9282235217054[/C][C]0.0717764782945623[/C][/ROW]
[ROW][C]142[/C][C]19[/C][C]23.833545928879[/C][C]-4.83354592887896[/C][/ROW]
[ROW][C]143[/C][C]18[/C][C]15.914045112446[/C][C]2.08595488755397[/C][/ROW]
[ROW][C]144[/C][C]33[/C][C]31.5129039651993[/C][C]1.4870960348007[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]30.7337181022473[/C][C]9.26628189775268[/C][/ROW]
[ROW][C]146[/C][C]22[/C][C]16.5291053277393[/C][C]5.47089467226072[/C][/ROW]
[ROW][C]147[/C][C]38[/C][C]25.0329928905898[/C][C]12.9670071094102[/C][/ROW]
[ROW][C]148[/C][C]24[/C][C]24.5542300619487[/C][C]-0.554230061948695[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]12.4089900684756[/C][C]-4.40899006847564[/C][/ROW]
[ROW][C]150[/C][C]35[/C][C]25.8862068162414[/C][C]9.11379318375864[/C][/ROW]
[ROW][C]151[/C][C]43[/C][C]35.2001716834363[/C][C]7.79982831656365[/C][/ROW]
[ROW][C]152[/C][C]43[/C][C]29.5623037382349[/C][C]13.4376962617651[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]18.9414418175259[/C][C]-4.94144181752595[/C][/ROW]
[ROW][C]154[/C][C]41[/C][C]39.6890276765838[/C][C]1.31097232341623[/C][/ROW]
[ROW][C]155[/C][C]38[/C][C]35.1449531512511[/C][C]2.85504684874889[/C][/ROW]
[ROW][C]156[/C][C]45[/C][C]51.9603417174785[/C][C]-6.96034171747851[/C][/ROW]
[ROW][C]157[/C][C]31[/C][C]25.8359197762891[/C][C]5.16408022371094[/C][/ROW]
[ROW][C]158[/C][C]13[/C][C]17.770049390449[/C][C]-4.77004939044903[/C][/ROW]
[ROW][C]159[/C][C]28[/C][C]19.6757657313943[/C][C]8.32423426860573[/C][/ROW]
[ROW][C]160[/C][C]31[/C][C]31.7562693528173[/C][C]-0.756269352817258[/C][/ROW]
[ROW][C]161[/C][C]40[/C][C]42.1197180920959[/C][C]-2.11971809209588[/C][/ROW]
[ROW][C]162[/C][C]30[/C][C]23.6364423201252[/C][C]6.36355767987477[/C][/ROW]
[ROW][C]163[/C][C]16[/C][C]21.6107489628857[/C][C]-5.61074896288566[/C][/ROW]
[ROW][C]164[/C][C]37[/C][C]41.6071085146826[/C][C]-4.60710851468264[/C][/ROW]
[ROW][C]165[/C][C]30[/C][C]22.3626322734418[/C][C]7.63736772655816[/C][/ROW]
[ROW][C]166[/C][C]35[/C][C]29.5491407770867[/C][C]5.45085922291325[/C][/ROW]
[ROW][C]167[/C][C]32[/C][C]25.4701122996592[/C][C]6.52988770034078[/C][/ROW]
[ROW][C]168[/C][C]27[/C][C]25.1873673522706[/C][C]1.81263264772943[/C][/ROW]
[ROW][C]169[/C][C]20[/C][C]19.8927659376983[/C][C]0.107234062301722[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]31.1879556035702[/C][C]-13.1879556035702[/C][/ROW]
[ROW][C]171[/C][C]31[/C][C]36.2920782855841[/C][C]-5.29207828558415[/C][/ROW]
[ROW][C]172[/C][C]31[/C][C]33.4500104104038[/C][C]-2.45001041040384[/C][/ROW]
[ROW][C]173[/C][C]21[/C][C]22.0550432687428[/C][C]-1.05504326874281[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]35.2727246354721[/C][C]3.72727536452787[/C][/ROW]
[ROW][C]175[/C][C]41[/C][C]27.7143421405366[/C][C]13.2856578594634[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]19.8038813205488[/C][C]-6.80388132054879[/C][/ROW]
[ROW][C]177[/C][C]32[/C][C]34.6714904866564[/C][C]-2.67149048665638[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]16.5320021636889[/C][C]1.46799783631107[/C][/ROW]
[ROW][C]179[/C][C]39[/C][C]36.6307162382014[/C][C]2.3692837617986[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]19.4237087040912[/C][C]-5.42370870409118[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]17.065138487158[/C][C]-10.065138487158[/C][/ROW]
[ROW][C]182[/C][C]17[/C][C]17.7555435181287[/C][C]-0.755543518128749[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]10.657551533328[/C][C]-10.657551533328[/C][/ROW]
[ROW][C]184[/C][C]30[/C][C]26.889982426581[/C][C]3.11001757341896[/C][/ROW]
[ROW][C]185[/C][C]37[/C][C]32.2467187748199[/C][C]4.75328122518012[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]9.90220341203886[/C][C]-9.90220341203886[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]12.5766343915435[/C][C]-7.57663439154349[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]10.5875280237102[/C][C]-9.58752802371019[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]20.5586703926976[/C][C]-4.55867039269757[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]17.8977487843351[/C][C]14.1022512156649[/C][/ROW]
[ROW][C]191[/C][C]24[/C][C]25.2394856488327[/C][C]-1.2394856488327[/C][/ROW]
[ROW][C]192[/C][C]17[/C][C]17.3280137305849[/C][C]-0.328013730584884[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]16.283090620209[/C][C]-5.28309062020898[/C][/ROW]
[ROW][C]194[/C][C]24[/C][C]16.0754303839006[/C][C]7.92456961609937[/C][/ROW]
[ROW][C]195[/C][C]22[/C][C]24.3992835465319[/C][C]-2.39928354653186[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]20.3677527105392[/C][C]-8.36775271053923[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]15.8062724082623[/C][C]3.1937275917377[/C][/ROW]
[ROW][C]198[/C][C]13[/C][C]20.194376116029[/C][C]-7.19437611602902[/C][/ROW]
[ROW][C]199[/C][C]17[/C][C]20.7777791511477[/C][C]-3.77777915114772[/C][/ROW]
[ROW][C]200[/C][C]15[/C][C]19.1642116932223[/C][C]-4.16421169322231[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]16.8002997548416[/C][C]-0.80029975484162[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]13.4061893191122[/C][C]10.5938106808878[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]20.3934306834012[/C][C]-5.39343068340122[/C][/ROW]
[ROW][C]204[/C][C]17[/C][C]19.6528036645687[/C][C]-2.65280366456873[/C][/ROW]
[ROW][C]205[/C][C]18[/C][C]17.0415056044879[/C][C]0.958494395512078[/C][/ROW]
[ROW][C]206[/C][C]20[/C][C]13.5065173982225[/C][C]6.49348260177751[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]15.9055544962971[/C][C]0.0944455037028917[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]23.6654398405948[/C][C]-7.66543984059475[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]20.0341092384383[/C][C]-2.03410923843832[/C][/ROW]
[ROW][C]210[/C][C]22[/C][C]18.8388809468163[/C][C]3.16111905318374[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]16.5132637069634[/C][C]-8.51326370696337[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]19.3873410099676[/C][C]-2.38734100996758[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.769908723087[/C][C]3.23009127691296[/C][/ROW]
[ROW][C]214[/C][C]16[/C][C]16.5933986263922[/C][C]-0.593398626392177[/C][/ROW]
[ROW][C]215[/C][C]23[/C][C]16.3777366552879[/C][C]6.62226334471208[/C][/ROW]
[ROW][C]216[/C][C]22[/C][C]13.5824774409218[/C][C]8.4175225590782[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]14.9995263801215[/C][C]-1.99952638012149[/C][/ROW]
[ROW][C]218[/C][C]13[/C][C]16.3289620522079[/C][C]-3.32896205220791[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]15.1288844810699[/C][C]0.871115518930093[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]15.3903517775008[/C][C]0.609648222499246[/C][/ROW]
[ROW][C]221[/C][C]20[/C][C]16.8280315381911[/C][C]3.17196846180887[/C][/ROW]
[ROW][C]222[/C][C]22[/C][C]21.2493384596655[/C][C]0.750661540334514[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]18.2573973934587[/C][C]-1.25739739345868[/C][/ROW]
[ROW][C]224[/C][C]18[/C][C]16.5712641266689[/C][C]1.42873587333106[/C][/ROW]
[ROW][C]225[/C][C]17[/C][C]11.3948310512633[/C][C]5.60516894873674[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]19.7775060620441[/C][C]-7.77750606204407[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]17.0058069190199[/C][C]-10.0058069190199[/C][/ROW]
[ROW][C]228[/C][C]17[/C][C]18.0426551307011[/C][C]-1.04265513070112[/C][/ROW]
[ROW][C]229[/C][C]14[/C][C]14.7351844865707[/C][C]-0.735184486570736[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]19.6116415755931[/C][C]3.38835842440691[/C][/ROW]
[ROW][C]231[/C][C]17[/C][C]11.2561375649589[/C][C]5.74386243504111[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]16.9073481259287[/C][C]-2.90734812592867[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]19.4734014001772[/C][C]-4.47340140017716[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]14.2081922575185[/C][C]2.79180774248147[/C][/ROW]
[ROW][C]235[/C][C]21[/C][C]17.2453538711653[/C][C]3.75464612883465[/C][/ROW]
[ROW][C]236[/C][C]18[/C][C]15.3873950910367[/C][C]2.61260490896335[/C][/ROW]
[ROW][C]237[/C][C]18[/C][C]21.2995592505285[/C][C]-3.29955925052848[/C][/ROW]
[ROW][C]238[/C][C]17[/C][C]13.5141655974652[/C][C]3.48583440253476[/C][/ROW]
[ROW][C]239[/C][C]17[/C][C]15.6331665035903[/C][C]1.36683349640972[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]13.5194182057094[/C][C]2.48058179429061[/C][/ROW]
[ROW][C]241[/C][C]15[/C][C]18.2260174009877[/C][C]-3.22601740098771[/C][/ROW]
[ROW][C]242[/C][C]21[/C][C]22.8762520003329[/C][C]-1.87625200033291[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]14.2356702954151[/C][C]1.76432970458494[/C][/ROW]
[ROW][C]244[/C][C]14[/C][C]15.1597871328778[/C][C]-1.15978713287782[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]16.6600639260822[/C][C]-1.66006392608224[/C][/ROW]
[ROW][C]246[/C][C]17[/C][C]18.3359706073586[/C][C]-1.33597060735856[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]19.8708874272224[/C][C]-4.87088742722245[/C][/ROW]
[ROW][C]248[/C][C]15[/C][C]16.8640452503757[/C][C]-1.86404525037568[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]17.8229985089302[/C][C]-7.82299850893022[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]15.0235708444378[/C][C]-9.02357084443781[/C][/ROW]
[ROW][C]251[/C][C]22[/C][C]22.211528862844[/C][C]-0.211528862843968[/C][/ROW]
[ROW][C]252[/C][C]21[/C][C]19.7878398437425[/C][C]1.21216015625751[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]10.9473777340391[/C][C]-9.94737773403911[/C][/ROW]
[ROW][C]254[/C][C]18[/C][C]17.5859166574297[/C][C]0.414083342570281[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]16.0339228595559[/C][C]0.966077140444056[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]11.2646861163869[/C][C]-7.26468611638694[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]13.7263273272751[/C][C]-3.72632732727506[/C][/ROW]
[ROW][C]258[/C][C]16[/C][C]16.9389251047177[/C][C]-0.938925104717708[/C][/ROW]
[ROW][C]259[/C][C]16[/C][C]14.0702430964053[/C][C]1.92975690359473[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]12.8523638143546[/C][C]-3.85236381435461[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]11.2579470542603[/C][C]4.74205294573971[/C][/ROW]
[ROW][C]262[/C][C]17[/C][C]16.4068241504176[/C][C]0.593175849582443[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]11.6646621809468[/C][C]-4.66466218094682[/C][/ROW]
[ROW][C]264[/C][C]15[/C][C]14.658193030307[/C][C]0.34180696969301[/C][/ROW]
[ROW][C]265[/C][C]14[/C][C]15.8201364038926[/C][C]-1.82013640389264[/C][/ROW]
[ROW][C]266[/C][C]14[/C][C]16.8683827796038[/C][C]-2.86838277960378[/C][/ROW]
[ROW][C]267[/C][C]18[/C][C]15.6631571071624[/C][C]2.33684289283756[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]15.8329049537499[/C][C]-3.83290495374991[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]18.6045507258503[/C][C]-2.60455072585032[/C][/ROW]
[ROW][C]270[/C][C]21[/C][C]18.8390219857271[/C][C]2.16097801427285[/C][/ROW]
[ROW][C]271[/C][C]19[/C][C]18.1393646942502[/C][C]0.86063530574984[/C][/ROW]
[ROW][C]272[/C][C]16[/C][C]16.0095918968583[/C][C]-0.00959189685832874[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]11.7791013350208[/C][C]-10.7791013350208[/C][/ROW]
[ROW][C]274[/C][C]16[/C][C]18.432974521978[/C][C]-2.43297452197801[/C][/ROW]
[ROW][C]275[/C][C]10[/C][C]14.8809133293827[/C][C]-4.88091332938266[/C][/ROW]
[ROW][C]276[/C][C]19[/C][C]15.3852983034839[/C][C]3.61470169651607[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]14.9879237546437[/C][C]-2.98792375464368[/C][/ROW]
[ROW][C]278[/C][C]2[/C][C]11.0256165665146[/C][C]-9.02561656651464[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]16.8133645005339[/C][C]-2.81336450053389[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]16.3047626818846[/C][C]0.695237318115392[/C][/ROW]
[ROW][C]281[/C][C]19[/C][C]16.3585801903839[/C][C]2.64141980961612[/C][/ROW]
[ROW][C]282[/C][C]14[/C][C]21.6057191846178[/C][C]-7.60571918461776[/C][/ROW]
[ROW][C]283[/C][C]11[/C][C]17.6772565652294[/C][C]-6.67725656522943[/C][/ROW]
[ROW][C]284[/C][C]4[/C][C]11.9866282631515[/C][C]-7.98662826315146[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]14.6971325967646[/C][C]1.30286740323538[/C][/ROW]
[ROW][C]286[/C][C]20[/C][C]15.6981149233464[/C][C]4.30188507665365[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]13.3167069151632[/C][C]-1.3167069151632[/C][/ROW]
[ROW][C]288[/C][C]15[/C][C]17.0279157647195[/C][C]-2.02791576471953[/C][/ROW]
[ROW][C]289[/C][C]16[/C][C]15.4439170380993[/C][C]0.556082961900743[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156376&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156376&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
13033.8338582779208-3.83385827792078
22825.61235501058882.38764498941121
33828.29019859025859.70980140974154
43030.8643598195082-0.864359819508157
52220.66305753948471.33694246051534
62618.95491891862797.04508108137213
72543.8739186361876-18.8739186361876
81813.09849599973754.90150400026253
91116.8097793400877-5.80977934008766
102629.3154207906313-3.31542079063134
112525.0436720360658-0.0436720360658506
123830.88413095063777.11586904936233
134426.734326638819117.2656733611809
143022.81635302680837.18364697319167
154033.2771166549356.72288334506505
163425.6035151158668.39648488413398
174738.38787388394558.61212611605451
183036.9339312396716-6.93393123967161
193132.9153308448453-1.91533084484529
202328.5374187317063-5.53741873170633
213633.72222309602852.27777690397154
223632.371450947473.62854905252996
233036.4959380020696-6.49593800206962
242524.95373514384940.0462648561506138
253927.495831805327311.5041681946727
263427.50358035203466.4964196479654
273127.88682071927173.11317928072833
283131.5059573321368-0.505957332136765
293330.29838981890272.70161018109728
302519.93482082858785.0651791714122
313330.67876945907062.32123054092942
323533.63172294911551.36827705088454
334227.92533664588614.074663354114
344334.15771703993988.84228296006023
353019.761065745758510.2389342542415
363338.0940473267264-5.09404732672639
371317.8881221968734-4.88812219687339
383227.16153258328754.83846741671248
393635.84728321720380.152716782796174
4009.72968761104562-9.72968761104562
412825.06218976682112.93781023317887
421418.6302825607999-4.63028256079985
431717.4547862610718-0.454786261071773
443233.7263028643394-1.72630286433943
453032.2665954161224-2.26659541612242
463524.424522100135410.5754778998646
472023.7069942166779-3.70699421667792
482826.12335000035941.87664999964063
492820.90513223418697.09486776581315
503922.538356874857416.4616431251426
513438.8736010492713-4.87360104927134
522616.80204994703069.19795005296943
533929.31947603487629.6805239651238
543939.8504467002612-0.850446700261181
553326.31665136162536.68334863837473
562827.03922394240050.960776057599513
57411.187850881365-7.187850881365
583940.5694492862543-1.56944928625426
591816.03069948576251.96930051423745
601418.2188523305287-4.21885233052867
612930.6455870461424-1.64558704614244
624438.09786196372655.90213803627353
632140.7952127748612-19.7952127748612
641617.4501163299002-1.45011632990022
652837.7902161427348-9.79021614273476
663536.5521404921971-1.55214049219706
672828.3368828165419-0.336882816541867
683840.9073143663301-2.90731436633011
692339.4210216984346-16.4210216984346
703624.324533698050611.6754663019494
713230.42217859342681.57782140657316
722930.6812892554758-1.68128925547585
732525.6566189098105-0.656618909810515
742728.9780692042569-1.97806920425692
753628.18295918701647.81704081298357
762830.833530449314-2.833530449314
772324.3912252320872-1.39122523208719
784027.202414204929712.7975857950703
792315.741934540627.25806545938003
804028.132069319434211.8679306805658
812828.2385932112014-0.23859321120141
823425.85424850817898.14575149182111
833334.7918535560275-1.7918535560275
842833.843668659009-5.843668659009
853439.9328036561992-5.93280365619922
863024.21490305421595.78509694578413
873324.60708535967458.39291464032546
882220.67942435899261.32057564100741
893839.9281374502531-1.92813745025311
902621.30674541893884.69325458106125
913530.48904484083324.51095515916685
92819.9103302918285-11.9103302918285
932417.78564712166856.21435287833146
942926.73454217745212.26545782254789
952018.75382524820381.24617475179619
962933.9339384569639-4.9339384569639
974529.377300669343515.6226993306565
983731.75025704617435.24974295382567
993325.55041457024697.44958542975312
1003332.35134438876720.648655611232812
1012522.79521495746252.2047850425375
1023228.19403705463913.80596294536093
1032934.9129314003096-5.91293140030955
1042830.806629267513-2.80662926751302
1052834.7843523517845-6.78435235178453
1063140.33121031144-9.33121031143996
1075236.808456622785815.1915433772142
1082116.8444122748474.15558772515297
1092446.2274514688477-22.2274514688477
1104132.92036136062488.07963863937516
1113337.3119241177891-4.31192411778912
1123221.474730593254210.5252694067458
1131916.53080407644992.46919592355008
1142022.8432449634046-2.84324496340458
1153129.98430556217221.01569443782784
1163129.76115996129741.23884003870258
1173232.5048191468416-0.504819146841643
1181826.4831150716787-8.48311507167872
1192332.6236755632204-9.62367556322039
1201718.1254367860205-1.12543678602048
1212021.4911844252517-1.49118442525169
1221214.2662919973651-2.26629199736514
1231720.2801239698626-3.28012396986261
1243028.22198205864661.77801794135338
1253134.1608467590553-3.16084675905527
1261016.0770628081757-6.0770628081757
1271319.1455999527413-6.14559995274135
1282221.8170895508510.182910449148993
1294234.25435168002057.74564831997946
130110.8148425648508-9.81484256485077
131912.6345261876062-3.63452618760617
1323225.5326919803876.467308019613
1331115.4867677389228-4.48676773892279
1342518.15507043109936.84492956890072
1353622.788802793935113.2111972060649
1363138.9664943109585-7.96649431095846
137010.512452307997-10.512452307997
1382431.0514485553539-7.05144855535388
1391314.8416842594081-1.84168425940811
140813.0852043117534-5.08520431175338
1411312.92822352170540.0717764782945623
1421923.833545928879-4.83354592887896
1431815.9140451124462.08595488755397
1443331.51290396519931.4870960348007
1454030.73371810224739.26628189775268
1462216.52910532773935.47089467226072
1473825.032992890589812.9670071094102
1482424.5542300619487-0.554230061948695
149812.4089900684756-4.40899006847564
1503525.88620681624149.11379318375864
1514335.20017168343637.79982831656365
1524329.562303738234913.4376962617651
1531418.9414418175259-4.94144181752595
1544139.68902767658381.31097232341623
1553835.14495315125112.85504684874889
1564551.9603417174785-6.96034171747851
1573125.83591977628915.16408022371094
1581317.770049390449-4.77004939044903
1592819.67576573139438.32423426860573
1603131.7562693528173-0.756269352817258
1614042.1197180920959-2.11971809209588
1623023.63644232012526.36355767987477
1631621.6107489628857-5.61074896288566
1643741.6071085146826-4.60710851468264
1653022.36263227344187.63736772655816
1663529.54914077708675.45085922291325
1673225.47011229965926.52988770034078
1682725.18736735227061.81263264772943
1692019.89276593769830.107234062301722
1701831.1879556035702-13.1879556035702
1713136.2920782855841-5.29207828558415
1723133.4500104104038-2.45001041040384
1732122.0550432687428-1.05504326874281
1743935.27272463547213.72727536452787
1754127.714342140536613.2856578594634
1761319.8038813205488-6.80388132054879
1773234.6714904866564-2.67149048665638
1781816.53200216368891.46799783631107
1793936.63071623820142.3692837617986
1801419.4237087040912-5.42370870409118
181717.065138487158-10.065138487158
1821717.7555435181287-0.755543518128749
183010.657551533328-10.657551533328
1843026.8899824265813.11001757341896
1853732.24671877481994.75328122518012
18609.90220341203886-9.90220341203886
187512.5766343915435-7.57663439154349
188110.5875280237102-9.58752802371019
1891620.5586703926976-4.55867039269757
1903217.897748784335114.1022512156649
1912425.2394856488327-1.2394856488327
1921717.3280137305849-0.328013730584884
1931116.283090620209-5.28309062020898
1942416.07543038390067.92456961609937
1952224.3992835465319-2.39928354653186
1961220.3677527105392-8.36775271053923
1971915.80627240826233.1937275917377
1981320.194376116029-7.19437611602902
1991720.7777791511477-3.77777915114772
2001519.1642116932223-4.16421169322231
2011616.8002997548416-0.80029975484162
2022413.406189319112210.5938106808878
2031520.3934306834012-5.39343068340122
2041719.6528036645687-2.65280366456873
2051817.04150560448790.958494395512078
2062013.50651739822256.49348260177751
2071615.90555449629710.0944455037028917
2081623.6654398405948-7.66543984059475
2091820.0341092384383-2.03410923843832
2102218.83888094681633.16111905318374
211816.5132637069634-8.51326370696337
2121719.3873410099676-2.38734100996758
2131814.7699087230873.23009127691296
2141616.5933986263922-0.593398626392177
2152316.37773665528796.62226334471208
2162213.58247744092188.4175225590782
2171314.9995263801215-1.99952638012149
2181316.3289620522079-3.32896205220791
2191615.12888448106990.871115518930093
2201615.39035177750080.609648222499246
2212016.82803153819113.17196846180887
2222221.24933845966550.750661540334514
2231718.2573973934587-1.25739739345868
2241816.57126412666891.42873587333106
2251711.39483105126335.60516894873674
2261219.7775060620441-7.77750606204407
227717.0058069190199-10.0058069190199
2281718.0426551307011-1.04265513070112
2291414.7351844865707-0.735184486570736
2302319.61164157559313.38835842440691
2311711.25613756495895.74386243504111
2321416.9073481259287-2.90734812592867
2331519.4734014001772-4.47340140017716
2341714.20819225751852.79180774248147
2352117.24535387116533.75464612883465
2361815.38739509103672.61260490896335
2371821.2995592505285-3.29955925052848
2381713.51416559746523.48583440253476
2391715.63316650359031.36683349640972
2401613.51941820570942.48058179429061
2411518.2260174009877-3.22601740098771
2422122.8762520003329-1.87625200033291
2431614.23567029541511.76432970458494
2441415.1597871328778-1.15978713287782
2451516.6600639260822-1.66006392608224
2461718.3359706073586-1.33597060735856
2471519.8708874272224-4.87088742722245
2481516.8640452503757-1.86404525037568
2491017.8229985089302-7.82299850893022
250615.0235708444378-9.02357084443781
2512222.211528862844-0.211528862843968
2522119.78783984374251.21216015625751
253110.9473777340391-9.94737773403911
2541817.58591665742970.414083342570281
2551716.03392285955590.966077140444056
256411.2646861163869-7.26468611638694
2571013.7263273272751-3.72632732727506
2581616.9389251047177-0.938925104717708
2591614.07024309640531.92975690359473
260912.8523638143546-3.85236381435461
2611611.25794705426034.74205294573971
2621716.40682415041760.593175849582443
263711.6646621809468-4.66466218094682
2641514.6581930303070.34180696969301
2651415.8201364038926-1.82013640389264
2661416.8683827796038-2.86838277960378
2671815.66315710716242.33684289283756
2681215.8329049537499-3.83290495374991
2691618.6045507258503-2.60455072585032
2702118.83902198572712.16097801427285
2711918.13936469425020.86063530574984
2721616.0095918968583-0.00959189685832874
273111.7791013350208-10.7791013350208
2741618.432974521978-2.43297452197801
2751014.8809133293827-4.88091332938266
2761915.38529830348393.61470169651607
2771214.9879237546437-2.98792375464368
278211.0256165665146-9.02561656651464
2791416.8133645005339-2.81336450053389
2801716.30476268188460.695237318115392
2811916.35858019038392.64141980961612
2821421.6057191846178-7.60571918461776
2831117.6772565652294-6.67725656522943
284411.9866282631515-7.98662826315146
2851614.69713259676461.30286740323538
2862015.69811492334644.30188507665365
2871213.3167069151632-1.3167069151632
2881517.0279157647195-2.02791576471953
2891615.44391703809930.556082961900743







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6530594934947380.6938810130105250.346940506505262
90.6007974953586420.7984050092827160.399202504641358
100.5233958512034720.9532082975930570.476604148796528
110.4081916666213780.8163833332427560.591808333378622
120.5175094114418180.9649811771163640.482490588558182
130.9390629964685160.1218740070629680.0609370035314838
140.9302693857392150.139461228521570.0697306142607851
150.9346159566187520.1307680867624960.0653840433812479
160.9240846554704190.1518306890591620.0759153445295808
170.947587075592890.104825848814220.0524129244071098
180.9333568409750890.1332863180498230.0666431590249113
190.9095976371675190.1808047256649620.0904023628324808
200.9254345312611980.1491309374776030.0745654687388017
210.8995268606832610.2009462786334780.100473139316739
220.8743722084461310.2512555831077390.125627791553869
230.8419291674102520.3161416651794960.158070832589748
240.8007849340358440.3984301319283120.199215065964156
250.8306435711974940.3387128576050110.169356428802506
260.8064861321598120.3870277356803760.193513867840188
270.7634630714090870.4730738571818260.236536928590913
280.7233163381186940.5533673237626120.276683661881306
290.6777413714203120.6445172571593760.322258628579688
300.6280937210582750.743812557883450.371906278941725
310.5741974780390090.8516050439219820.425802521960991
320.5324119308322770.9351761383354450.467588069167723
330.5924981983598680.8150036032802650.407501801640132
340.6755999165408810.6488001669182370.324400083459118
350.699745779720310.600508440559380.30025422027969
360.6889210845150870.6221578309698250.311078915484913
370.7521616165139350.495676766972130.247838383486065
380.7259032473507150.548193505298570.274096752649285
390.6910693075215230.6178613849569540.308930692478477
400.8685869061874510.2628261876250980.131413093812549
410.8414036970098150.317192605980370.158596302990185
420.8437257050128930.3125485899742150.156274294987107
430.8371118113853370.3257763772293260.162888188614663
440.8117433953174360.3765132093651290.188256604682564
450.7849379151570910.4301241696858180.215062084842909
460.8111450571244360.3777098857511270.188854942875564
470.8102246787053120.3795506425893760.189775321294688
480.7778406288904750.444318742219050.222159371109525
490.7630562376205090.4738875247589830.236943762379491
500.8552509205251550.289498158949690.144749079474845
510.8394535169610270.3210929660779460.160546483038973
520.8394383712418860.3211232575162290.160561628758114
530.8457381568123720.3085236863752570.154261843187628
540.8258147055435810.3483705889128380.174185294456419
550.8074869828271650.385026034345670.192513017172835
560.7788769864034380.4422460271931240.221123013596562
570.8364259150759680.3271481698480640.163574084924032
580.8092624051443530.3814751897112930.190737594855647
590.7809946451295890.4380107097408220.219005354870411
600.7792590738961430.4414818522077140.220740926103857
610.7559518002290480.4880963995419030.244048199770952
620.7382567238271630.5234865523456740.261743276172837
630.9273881900145210.1452236199709590.0726118099854794
640.9152640767505520.1694718464988950.0847359232494475
650.9443783033890970.1112433932218060.0556216966109029
660.9332435878794960.1335128242410070.0667564121205035
670.9197998277500010.1604003444999980.0802001722499989
680.9066651763653340.1866696472693320.0933348236346661
690.9704955134086860.05900897318262710.0295044865913136
700.9803219982528480.03935600349430390.019678001747152
710.9753323655236820.04933526895263570.0246676344763178
720.9706361558614360.05872768827712770.0293638441385639
730.9642203521344720.07155929573105580.0357796478655279
740.9584477609740510.08310447805189870.0415522390259494
750.9604690200879650.07906195982406950.0395309799120347
760.9539850480125250.09202990397494980.0460149519874749
770.9469202078563540.1061595842872930.0530797921436464
780.9672009516427810.06559809671443820.0327990483572191
790.9646587743946840.0706824512106330.0353412256053165
800.9764086064245190.04718278715096130.0235913935754807
810.9711174611372380.05776507772552380.0288825388627619
820.9726077502188210.05478449956235780.0273922497811789
830.966667145193790.06666570961241940.0333328548062097
840.9651998676898080.06960026462038320.0348001323101916
850.9630397769648130.07392044607037490.0369602230351875
860.9592160910948560.08156781781028830.0407839089051441
870.9612228504021350.07755429919573030.0387771495978652
880.9537232174323670.09255356513526520.0462767825676326
890.9449740176120530.1100519647758950.0550259823879473
900.9372650581926220.1254698836147560.0627349418073781
910.9306185393168570.1387629213662860.0693814606831428
920.9663690193865310.06726196122693810.0336309806134691
930.962647319568060.07470536086387960.0373526804319398
940.9555749947897880.08885001042042350.0444250052102118
950.9481435986330750.103712802733850.051856401366925
960.9443007087372850.1113985825254290.0556992912627146
970.9778057669210540.0443884661578920.022194233078946
980.9759029646967190.04819407060656220.0240970353032811
990.9763289256817580.04734214863648370.0236710743182418
1000.9711855066219640.05762898675607160.0288144933780358
1010.9655345984650720.0689308030698570.0344654015349285
1020.9602168926021960.07956621479560850.0397831073978043
1030.9582410794682440.08351784106351240.0417589205317562
1040.9516485124446120.09670297511077620.0483514875553881
1050.9512111109668350.09757777806632920.0487888890331646
1060.9562455428438340.08750891431233160.0437544571561658
1070.9847490184358030.03050196312839320.0152509815641966
1080.9823014675228320.03539706495433510.0176985324771676
1090.9985538007126610.002892398574677420.00144619928733871
1100.9988271433630130.002345713273973020.00117285663698651
1110.9986695673673430.002660865265314150.00133043263265708
1120.9991352601504920.001729479699016440.000864739849508219
1130.9988897100215210.002220579956957170.00111028997847858
1140.9987346908947850.002530618210429270.00126530910521464
1150.9983524701591230.003295059681753540.00164752984087677
1160.997851850666140.004296298667719490.00214814933385974
1170.9972017053372410.005596589325517730.00279829466275886
1180.9979557926081920.004088414783615480.00204420739180774
1190.9988925562608990.0022148874782020.001107443739101
1200.9986768948318630.002646210336274630.00132310516813732
1210.9983910003273510.003217999345297580.00160899967264879
1220.998252681345460.003494637309080030.00174731865454002
1230.9980518464610360.003896307077928170.00194815353896408
1240.9975392929997310.004921414000537720.00246070700026886
1250.9970726744063470.005854651187306260.00292732559365313
1260.9975155135769210.004968972846157530.00248448642307877
1270.9977937635518640.004412472896271770.00220623644813589
1280.9971579339534380.005684132093124830.00284206604656241
1290.9975372196623490.004925560675302590.00246278033765129
1300.9987360230042060.002527953991588680.00126397699579434
1310.9986286255105070.002742748978986110.00137137448949306
1320.9985936965538360.002812606892327350.00140630344616367
1330.998528046921290.002943906157419570.00147195307870978
1340.9986036763188420.002792647362315260.00139632368115763
1350.9994939202702120.001012159459575820.00050607972978791
1360.9995485840479220.0009028319041557950.000451415952077897
1370.9997952083737280.0004095832525435370.000204791626271768
1380.9998281645480050.0003436709039904470.000171835451995223
1390.9997817235141860.0004365529716284280.000218276485814214
1400.999777988364180.0004440232716393630.000222011635819682
1410.9997075686772390.0005848626455213040.000292431322760652
1420.999681584212110.0006368315757793760.000318415787889688
1430.9996000856329280.000799828734143860.00039991436707193
1440.9994795198877160.001040960224568960.000520480112284479
1450.9995983172236270.0008033655527459930.000401682776372997
1460.999594430977390.0008111380452205230.000405569022610261
1470.9998426904578330.0003146190843342840.000157309542167142
1480.9997888031952240.0004223936095510440.000211196804775522
1490.999765856220120.0004682875597605860.000234143779880293
1500.9998386645755690.0003226708488623410.000161335424431171
1510.9998783281136580.0002433437726848230.000121671886342412
1520.9999647980548917.04038902171887e-053.52019451085944e-05
1530.9999604221218757.91557562496725e-053.95778781248362e-05
1540.9999478833648840.0001042332702319165.21166351159581e-05
1550.9999347952214250.0001304095571505126.52047785752558e-05
1560.9999521986478219.56027043570375e-054.78013521785188e-05
1570.9999482158624960.0001035682750080455.17841375040227e-05
1580.999940621384760.0001187572304808725.93786152404359e-05
1590.9999552819440238.94361119531187e-054.47180559765593e-05
1600.9999363515657510.0001272968684971726.36484342485858e-05
1610.9999104604777990.0001790790444019368.95395222009678e-05
1620.9999047555555960.0001904888888085519.52444444042756e-05
1630.9999015016978590.0001969966042818579.84983021409283e-05
1640.9998827881026990.0002344237946011850.000117211897300592
1650.9999080770632130.0001838458735729579.19229367864786e-05
1660.9999104852430310.0001790295139383768.95147569691881e-05
1670.9999236781054440.0001526437891122577.63218945561284e-05
1680.9998967602115260.0002064795769488470.000103239788474423
1690.9998608410384440.0002783179231111330.000139158961555567
1700.9999571101313638.57797372733128e-054.28898686366564e-05
1710.9999557749448868.84501102285255e-054.42250551142628e-05
1720.9999395367313520.0001209265372962476.04632686481235e-05
1730.9999150422769370.0001699154461253418.49577230626703e-05
1740.9998929590482660.000214081903468370.000107040951734185
1750.9999705436278445.89127443126557e-052.94563721563278e-05
1760.9999741572160255.16855679496269e-052.58427839748134e-05
1770.9999653325566656.93348866702893e-053.46674433351447e-05
1780.9999527227223579.45545552862665e-054.72772776431333e-05
1790.9999385992168440.0001228015663120786.1400783156039e-05
1800.9999346824190850.0001306351618308146.53175809154068e-05
1810.9999698589695326.02820609360588e-053.01410304680294e-05
1820.9999572083196998.55833606012231e-054.27916803006115e-05
1830.9999800959872093.98080255827936e-051.99040127913968e-05
1840.9999767560358094.64879283817178e-052.32439641908589e-05
1850.9999858998828322.82002343353897e-051.41001171676949e-05
1860.999993914000861.21719982808993e-056.08599914044963e-06
1870.9999954553415879.08931682639166e-064.54465841319583e-06
1880.9999982176704013.56465919802676e-061.78232959901338e-06
1890.9999975695365214.86092695770664e-062.43046347885332e-06
1900.9999998838904372.32219124963578e-071.16109562481789e-07
1910.9999998269933583.46013283661353e-071.73006641830677e-07
1920.9999997182526125.63494775174533e-072.81747387587267e-07
1930.9999997075871665.84825667610345e-072.92412833805172e-07
1940.9999997888441594.22311682389804e-072.11155841194902e-07
1950.9999996770410756.45917849909177e-073.22958924954588e-07
1960.9999997166305435.66738914294369e-072.83369457147184e-07
1970.9999996328265477.34346906795119e-073.67173453397559e-07
1980.9999996213792487.57241503353203e-073.78620751676602e-07
1990.9999994430021061.113995788534e-065.56997894266998e-07
2000.999999198448761.60310248001423e-068.01551240007116e-07
2010.9999987039187772.5921624466849e-061.29608122334245e-06
2020.9999997691787764.61642448417759e-072.30821224208879e-07
2030.9999996940779786.11844043106284e-073.05922021553142e-07
2040.9999995115025049.76994992796113e-074.88497496398056e-07
2050.9999992037956431.59240871377285e-067.96204356886427e-07
2060.9999994489308961.10213820888258e-065.51069104441291e-07
2070.9999990948265351.810346930689e-069.05173465344501e-07
2080.9999990940492121.81190157514043e-069.05950787570215e-07
2090.9999985148293382.97034132438368e-061.48517066219184e-06
2100.999998381010153.23797970024422e-061.61898985012211e-06
2110.9999990716785791.85664284208393e-069.28321421041963e-07
2120.9999984818464253.03630714961894e-061.51815357480947e-06
2130.9999981837719333.63245613335418e-061.81622806667709e-06
2140.9999970480590025.90388199607987e-062.95194099803993e-06
2150.9999978965426634.20691467317873e-062.10345733658937e-06
2160.9999993372350661.32552986879553e-066.62764934397767e-07
2170.9999989059995292.18800094229171e-061.09400047114585e-06
2180.9999983020238453.39595231029636e-061.69797615514818e-06
2190.9999974054150735.18916985392606e-062.59458492696303e-06
2200.9999961702540817.65949183830872e-063.82974591915436e-06
2210.9999954941266469.01174670815764e-064.50587335407882e-06
2220.9999927890065241.44219869522334e-057.21099347611669e-06
2230.9999886437435292.27125129422573e-051.13562564711287e-05
2240.9999844520591383.10958817238859e-051.5547940861943e-05
2250.999990831004181.83379916395634e-059.16899581978172e-06
2260.9999963101809057.37963819000275e-063.68981909500138e-06
2270.9999984564487723.08710245642351e-061.54355122821176e-06
2280.9999972918151555.41636969008697e-062.70818484504349e-06
2290.9999954915679629.01686407667421e-064.5084320383371e-06
2300.9999946605031131.0678993774477e-055.33949688723852e-06
2310.9999973891723255.22165535103226e-062.61082767551613e-06
2320.9999958367766618.32644667879996e-064.16322333939998e-06
2330.9999951725897639.65482047346922e-064.82741023673461e-06
2340.9999947538913271.0492217345736e-055.24610867286798e-06
2350.999994109973691.17800526208251e-055.89002631041256e-06
2360.999993886499041.22270019192188e-056.11350095960939e-06
2370.9999903090362561.93819274887075e-059.69096374435374e-06
2380.9999905307587941.89384824112675e-059.46924120563373e-06
2390.9999851377539082.97244921834461e-051.4862246091723e-05
2400.999984897097163.02058056795014e-051.51029028397507e-05
2410.999975532785894.89344282208216e-052.44672141104108e-05
2420.9999684947590556.30104818899505e-053.15052409449753e-05
2430.9999609238459017.81523081985753e-053.90761540992877e-05
2440.9999372641388960.0001254717222081326.27358611040661e-05
2450.9998917463119370.0002165073761261360.000108253688063068
2460.9998148264662120.0003703470675765650.000185173533788282
2470.9998703482364040.0002593035271923730.000129651763596187
2480.9997843451643120.0004313096713752680.000215654835687634
2490.99986053016210.0002789396757993870.000139469837899694
2500.9999000509920380.0001998980159230699.99490079615346e-05
2510.9998466210439450.000306757912110650.000153378956055325
2520.9997383184710510.000523363057898150.000261681528949075
2530.9997640285371150.0004719429257707410.00023597146288537
2540.9995816821547430.0008366356905137860.000418317845256893
2550.9992908020941460.001418395811707690.000709197905853844
2560.9991414597367850.001717080526429180.000858540263214588
2570.9985980299831030.002803940033793340.00140197001689667
2580.9976885010435890.004622997912822350.00231149895641117
2590.9977267534717510.004546493056497650.00227324652824882
2600.9962215831682580.007556833663483980.00377841683174199
2610.9984982321571380.003003535685723440.00150176784286172
2620.9975487991394210.004902401721157920.00245120086057896
2630.9957857532055660.008428493588867280.00421424679443364
2640.9934213759626150.01315724807477040.0065786240373852
2650.989076488607880.02184702278424080.0109235113921204
2660.9828072427826780.03438551443464440.0171927572173222
2670.9775080257747230.04498394845055380.0224919742252769
2680.9661971577266360.06760568454672730.0338028422733636
2690.9474008249728460.1051983500543080.0525991750271539
2700.9279020980851690.1441958038296630.0720979019148315
2710.8929862959818180.2140274080363640.107013704018182
2720.8650609245849170.2698781508301670.134939075415083
2730.9235224764341620.1529550471316760.0764775235658378
2740.8884873870705970.2230252258588070.111512612929403
2750.8393985282450490.3212029435099010.160601471754951
2760.795119460071010.409761079857980.20488053992899
2770.7089692858692130.5820614282615750.291030714130787
2780.7029503270123670.5940993459752670.297049672987633
2790.5964337362025730.8071325275948530.403566263797426
2800.4930347412862710.9860694825725420.506965258713729
2810.4473136138571460.8946272277142920.552686386142854

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.653059493494738 & 0.693881013010525 & 0.346940506505262 \tabularnewline
9 & 0.600797495358642 & 0.798405009282716 & 0.399202504641358 \tabularnewline
10 & 0.523395851203472 & 0.953208297593057 & 0.476604148796528 \tabularnewline
11 & 0.408191666621378 & 0.816383333242756 & 0.591808333378622 \tabularnewline
12 & 0.517509411441818 & 0.964981177116364 & 0.482490588558182 \tabularnewline
13 & 0.939062996468516 & 0.121874007062968 & 0.0609370035314838 \tabularnewline
14 & 0.930269385739215 & 0.13946122852157 & 0.0697306142607851 \tabularnewline
15 & 0.934615956618752 & 0.130768086762496 & 0.0653840433812479 \tabularnewline
16 & 0.924084655470419 & 0.151830689059162 & 0.0759153445295808 \tabularnewline
17 & 0.94758707559289 & 0.10482584881422 & 0.0524129244071098 \tabularnewline
18 & 0.933356840975089 & 0.133286318049823 & 0.0666431590249113 \tabularnewline
19 & 0.909597637167519 & 0.180804725664962 & 0.0904023628324808 \tabularnewline
20 & 0.925434531261198 & 0.149130937477603 & 0.0745654687388017 \tabularnewline
21 & 0.899526860683261 & 0.200946278633478 & 0.100473139316739 \tabularnewline
22 & 0.874372208446131 & 0.251255583107739 & 0.125627791553869 \tabularnewline
23 & 0.841929167410252 & 0.316141665179496 & 0.158070832589748 \tabularnewline
24 & 0.800784934035844 & 0.398430131928312 & 0.199215065964156 \tabularnewline
25 & 0.830643571197494 & 0.338712857605011 & 0.169356428802506 \tabularnewline
26 & 0.806486132159812 & 0.387027735680376 & 0.193513867840188 \tabularnewline
27 & 0.763463071409087 & 0.473073857181826 & 0.236536928590913 \tabularnewline
28 & 0.723316338118694 & 0.553367323762612 & 0.276683661881306 \tabularnewline
29 & 0.677741371420312 & 0.644517257159376 & 0.322258628579688 \tabularnewline
30 & 0.628093721058275 & 0.74381255788345 & 0.371906278941725 \tabularnewline
31 & 0.574197478039009 & 0.851605043921982 & 0.425802521960991 \tabularnewline
32 & 0.532411930832277 & 0.935176138335445 & 0.467588069167723 \tabularnewline
33 & 0.592498198359868 & 0.815003603280265 & 0.407501801640132 \tabularnewline
34 & 0.675599916540881 & 0.648800166918237 & 0.324400083459118 \tabularnewline
35 & 0.69974577972031 & 0.60050844055938 & 0.30025422027969 \tabularnewline
36 & 0.688921084515087 & 0.622157830969825 & 0.311078915484913 \tabularnewline
37 & 0.752161616513935 & 0.49567676697213 & 0.247838383486065 \tabularnewline
38 & 0.725903247350715 & 0.54819350529857 & 0.274096752649285 \tabularnewline
39 & 0.691069307521523 & 0.617861384956954 & 0.308930692478477 \tabularnewline
40 & 0.868586906187451 & 0.262826187625098 & 0.131413093812549 \tabularnewline
41 & 0.841403697009815 & 0.31719260598037 & 0.158596302990185 \tabularnewline
42 & 0.843725705012893 & 0.312548589974215 & 0.156274294987107 \tabularnewline
43 & 0.837111811385337 & 0.325776377229326 & 0.162888188614663 \tabularnewline
44 & 0.811743395317436 & 0.376513209365129 & 0.188256604682564 \tabularnewline
45 & 0.784937915157091 & 0.430124169685818 & 0.215062084842909 \tabularnewline
46 & 0.811145057124436 & 0.377709885751127 & 0.188854942875564 \tabularnewline
47 & 0.810224678705312 & 0.379550642589376 & 0.189775321294688 \tabularnewline
48 & 0.777840628890475 & 0.44431874221905 & 0.222159371109525 \tabularnewline
49 & 0.763056237620509 & 0.473887524758983 & 0.236943762379491 \tabularnewline
50 & 0.855250920525155 & 0.28949815894969 & 0.144749079474845 \tabularnewline
51 & 0.839453516961027 & 0.321092966077946 & 0.160546483038973 \tabularnewline
52 & 0.839438371241886 & 0.321123257516229 & 0.160561628758114 \tabularnewline
53 & 0.845738156812372 & 0.308523686375257 & 0.154261843187628 \tabularnewline
54 & 0.825814705543581 & 0.348370588912838 & 0.174185294456419 \tabularnewline
55 & 0.807486982827165 & 0.38502603434567 & 0.192513017172835 \tabularnewline
56 & 0.778876986403438 & 0.442246027193124 & 0.221123013596562 \tabularnewline
57 & 0.836425915075968 & 0.327148169848064 & 0.163574084924032 \tabularnewline
58 & 0.809262405144353 & 0.381475189711293 & 0.190737594855647 \tabularnewline
59 & 0.780994645129589 & 0.438010709740822 & 0.219005354870411 \tabularnewline
60 & 0.779259073896143 & 0.441481852207714 & 0.220740926103857 \tabularnewline
61 & 0.755951800229048 & 0.488096399541903 & 0.244048199770952 \tabularnewline
62 & 0.738256723827163 & 0.523486552345674 & 0.261743276172837 \tabularnewline
63 & 0.927388190014521 & 0.145223619970959 & 0.0726118099854794 \tabularnewline
64 & 0.915264076750552 & 0.169471846498895 & 0.0847359232494475 \tabularnewline
65 & 0.944378303389097 & 0.111243393221806 & 0.0556216966109029 \tabularnewline
66 & 0.933243587879496 & 0.133512824241007 & 0.0667564121205035 \tabularnewline
67 & 0.919799827750001 & 0.160400344499998 & 0.0802001722499989 \tabularnewline
68 & 0.906665176365334 & 0.186669647269332 & 0.0933348236346661 \tabularnewline
69 & 0.970495513408686 & 0.0590089731826271 & 0.0295044865913136 \tabularnewline
70 & 0.980321998252848 & 0.0393560034943039 & 0.019678001747152 \tabularnewline
71 & 0.975332365523682 & 0.0493352689526357 & 0.0246676344763178 \tabularnewline
72 & 0.970636155861436 & 0.0587276882771277 & 0.0293638441385639 \tabularnewline
73 & 0.964220352134472 & 0.0715592957310558 & 0.0357796478655279 \tabularnewline
74 & 0.958447760974051 & 0.0831044780518987 & 0.0415522390259494 \tabularnewline
75 & 0.960469020087965 & 0.0790619598240695 & 0.0395309799120347 \tabularnewline
76 & 0.953985048012525 & 0.0920299039749498 & 0.0460149519874749 \tabularnewline
77 & 0.946920207856354 & 0.106159584287293 & 0.0530797921436464 \tabularnewline
78 & 0.967200951642781 & 0.0655980967144382 & 0.0327990483572191 \tabularnewline
79 & 0.964658774394684 & 0.070682451210633 & 0.0353412256053165 \tabularnewline
80 & 0.976408606424519 & 0.0471827871509613 & 0.0235913935754807 \tabularnewline
81 & 0.971117461137238 & 0.0577650777255238 & 0.0288825388627619 \tabularnewline
82 & 0.972607750218821 & 0.0547844995623578 & 0.0273922497811789 \tabularnewline
83 & 0.96666714519379 & 0.0666657096124194 & 0.0333328548062097 \tabularnewline
84 & 0.965199867689808 & 0.0696002646203832 & 0.0348001323101916 \tabularnewline
85 & 0.963039776964813 & 0.0739204460703749 & 0.0369602230351875 \tabularnewline
86 & 0.959216091094856 & 0.0815678178102883 & 0.0407839089051441 \tabularnewline
87 & 0.961222850402135 & 0.0775542991957303 & 0.0387771495978652 \tabularnewline
88 & 0.953723217432367 & 0.0925535651352652 & 0.0462767825676326 \tabularnewline
89 & 0.944974017612053 & 0.110051964775895 & 0.0550259823879473 \tabularnewline
90 & 0.937265058192622 & 0.125469883614756 & 0.0627349418073781 \tabularnewline
91 & 0.930618539316857 & 0.138762921366286 & 0.0693814606831428 \tabularnewline
92 & 0.966369019386531 & 0.0672619612269381 & 0.0336309806134691 \tabularnewline
93 & 0.96264731956806 & 0.0747053608638796 & 0.0373526804319398 \tabularnewline
94 & 0.955574994789788 & 0.0888500104204235 & 0.0444250052102118 \tabularnewline
95 & 0.948143598633075 & 0.10371280273385 & 0.051856401366925 \tabularnewline
96 & 0.944300708737285 & 0.111398582525429 & 0.0556992912627146 \tabularnewline
97 & 0.977805766921054 & 0.044388466157892 & 0.022194233078946 \tabularnewline
98 & 0.975902964696719 & 0.0481940706065622 & 0.0240970353032811 \tabularnewline
99 & 0.976328925681758 & 0.0473421486364837 & 0.0236710743182418 \tabularnewline
100 & 0.971185506621964 & 0.0576289867560716 & 0.0288144933780358 \tabularnewline
101 & 0.965534598465072 & 0.068930803069857 & 0.0344654015349285 \tabularnewline
102 & 0.960216892602196 & 0.0795662147956085 & 0.0397831073978043 \tabularnewline
103 & 0.958241079468244 & 0.0835178410635124 & 0.0417589205317562 \tabularnewline
104 & 0.951648512444612 & 0.0967029751107762 & 0.0483514875553881 \tabularnewline
105 & 0.951211110966835 & 0.0975777780663292 & 0.0487888890331646 \tabularnewline
106 & 0.956245542843834 & 0.0875089143123316 & 0.0437544571561658 \tabularnewline
107 & 0.984749018435803 & 0.0305019631283932 & 0.0152509815641966 \tabularnewline
108 & 0.982301467522832 & 0.0353970649543351 & 0.0176985324771676 \tabularnewline
109 & 0.998553800712661 & 0.00289239857467742 & 0.00144619928733871 \tabularnewline
110 & 0.998827143363013 & 0.00234571327397302 & 0.00117285663698651 \tabularnewline
111 & 0.998669567367343 & 0.00266086526531415 & 0.00133043263265708 \tabularnewline
112 & 0.999135260150492 & 0.00172947969901644 & 0.000864739849508219 \tabularnewline
113 & 0.998889710021521 & 0.00222057995695717 & 0.00111028997847858 \tabularnewline
114 & 0.998734690894785 & 0.00253061821042927 & 0.00126530910521464 \tabularnewline
115 & 0.998352470159123 & 0.00329505968175354 & 0.00164752984087677 \tabularnewline
116 & 0.99785185066614 & 0.00429629866771949 & 0.00214814933385974 \tabularnewline
117 & 0.997201705337241 & 0.00559658932551773 & 0.00279829466275886 \tabularnewline
118 & 0.997955792608192 & 0.00408841478361548 & 0.00204420739180774 \tabularnewline
119 & 0.998892556260899 & 0.002214887478202 & 0.001107443739101 \tabularnewline
120 & 0.998676894831863 & 0.00264621033627463 & 0.00132310516813732 \tabularnewline
121 & 0.998391000327351 & 0.00321799934529758 & 0.00160899967264879 \tabularnewline
122 & 0.99825268134546 & 0.00349463730908003 & 0.00174731865454002 \tabularnewline
123 & 0.998051846461036 & 0.00389630707792817 & 0.00194815353896408 \tabularnewline
124 & 0.997539292999731 & 0.00492141400053772 & 0.00246070700026886 \tabularnewline
125 & 0.997072674406347 & 0.00585465118730626 & 0.00292732559365313 \tabularnewline
126 & 0.997515513576921 & 0.00496897284615753 & 0.00248448642307877 \tabularnewline
127 & 0.997793763551864 & 0.00441247289627177 & 0.00220623644813589 \tabularnewline
128 & 0.997157933953438 & 0.00568413209312483 & 0.00284206604656241 \tabularnewline
129 & 0.997537219662349 & 0.00492556067530259 & 0.00246278033765129 \tabularnewline
130 & 0.998736023004206 & 0.00252795399158868 & 0.00126397699579434 \tabularnewline
131 & 0.998628625510507 & 0.00274274897898611 & 0.00137137448949306 \tabularnewline
132 & 0.998593696553836 & 0.00281260689232735 & 0.00140630344616367 \tabularnewline
133 & 0.99852804692129 & 0.00294390615741957 & 0.00147195307870978 \tabularnewline
134 & 0.998603676318842 & 0.00279264736231526 & 0.00139632368115763 \tabularnewline
135 & 0.999493920270212 & 0.00101215945957582 & 0.00050607972978791 \tabularnewline
136 & 0.999548584047922 & 0.000902831904155795 & 0.000451415952077897 \tabularnewline
137 & 0.999795208373728 & 0.000409583252543537 & 0.000204791626271768 \tabularnewline
138 & 0.999828164548005 & 0.000343670903990447 & 0.000171835451995223 \tabularnewline
139 & 0.999781723514186 & 0.000436552971628428 & 0.000218276485814214 \tabularnewline
140 & 0.99977798836418 & 0.000444023271639363 & 0.000222011635819682 \tabularnewline
141 & 0.999707568677239 & 0.000584862645521304 & 0.000292431322760652 \tabularnewline
142 & 0.99968158421211 & 0.000636831575779376 & 0.000318415787889688 \tabularnewline
143 & 0.999600085632928 & 0.00079982873414386 & 0.00039991436707193 \tabularnewline
144 & 0.999479519887716 & 0.00104096022456896 & 0.000520480112284479 \tabularnewline
145 & 0.999598317223627 & 0.000803365552745993 & 0.000401682776372997 \tabularnewline
146 & 0.99959443097739 & 0.000811138045220523 & 0.000405569022610261 \tabularnewline
147 & 0.999842690457833 & 0.000314619084334284 & 0.000157309542167142 \tabularnewline
148 & 0.999788803195224 & 0.000422393609551044 & 0.000211196804775522 \tabularnewline
149 & 0.99976585622012 & 0.000468287559760586 & 0.000234143779880293 \tabularnewline
150 & 0.999838664575569 & 0.000322670848862341 & 0.000161335424431171 \tabularnewline
151 & 0.999878328113658 & 0.000243343772684823 & 0.000121671886342412 \tabularnewline
152 & 0.999964798054891 & 7.04038902171887e-05 & 3.52019451085944e-05 \tabularnewline
153 & 0.999960422121875 & 7.91557562496725e-05 & 3.95778781248362e-05 \tabularnewline
154 & 0.999947883364884 & 0.000104233270231916 & 5.21166351159581e-05 \tabularnewline
155 & 0.999934795221425 & 0.000130409557150512 & 6.52047785752558e-05 \tabularnewline
156 & 0.999952198647821 & 9.56027043570375e-05 & 4.78013521785188e-05 \tabularnewline
157 & 0.999948215862496 & 0.000103568275008045 & 5.17841375040227e-05 \tabularnewline
158 & 0.99994062138476 & 0.000118757230480872 & 5.93786152404359e-05 \tabularnewline
159 & 0.999955281944023 & 8.94361119531187e-05 & 4.47180559765593e-05 \tabularnewline
160 & 0.999936351565751 & 0.000127296868497172 & 6.36484342485858e-05 \tabularnewline
161 & 0.999910460477799 & 0.000179079044401936 & 8.95395222009678e-05 \tabularnewline
162 & 0.999904755555596 & 0.000190488888808551 & 9.52444444042756e-05 \tabularnewline
163 & 0.999901501697859 & 0.000196996604281857 & 9.84983021409283e-05 \tabularnewline
164 & 0.999882788102699 & 0.000234423794601185 & 0.000117211897300592 \tabularnewline
165 & 0.999908077063213 & 0.000183845873572957 & 9.19229367864786e-05 \tabularnewline
166 & 0.999910485243031 & 0.000179029513938376 & 8.95147569691881e-05 \tabularnewline
167 & 0.999923678105444 & 0.000152643789112257 & 7.63218945561284e-05 \tabularnewline
168 & 0.999896760211526 & 0.000206479576948847 & 0.000103239788474423 \tabularnewline
169 & 0.999860841038444 & 0.000278317923111133 & 0.000139158961555567 \tabularnewline
170 & 0.999957110131363 & 8.57797372733128e-05 & 4.28898686366564e-05 \tabularnewline
171 & 0.999955774944886 & 8.84501102285255e-05 & 4.42250551142628e-05 \tabularnewline
172 & 0.999939536731352 & 0.000120926537296247 & 6.04632686481235e-05 \tabularnewline
173 & 0.999915042276937 & 0.000169915446125341 & 8.49577230626703e-05 \tabularnewline
174 & 0.999892959048266 & 0.00021408190346837 & 0.000107040951734185 \tabularnewline
175 & 0.999970543627844 & 5.89127443126557e-05 & 2.94563721563278e-05 \tabularnewline
176 & 0.999974157216025 & 5.16855679496269e-05 & 2.58427839748134e-05 \tabularnewline
177 & 0.999965332556665 & 6.93348866702893e-05 & 3.46674433351447e-05 \tabularnewline
178 & 0.999952722722357 & 9.45545552862665e-05 & 4.72772776431333e-05 \tabularnewline
179 & 0.999938599216844 & 0.000122801566312078 & 6.1400783156039e-05 \tabularnewline
180 & 0.999934682419085 & 0.000130635161830814 & 6.53175809154068e-05 \tabularnewline
181 & 0.999969858969532 & 6.02820609360588e-05 & 3.01410304680294e-05 \tabularnewline
182 & 0.999957208319699 & 8.55833606012231e-05 & 4.27916803006115e-05 \tabularnewline
183 & 0.999980095987209 & 3.98080255827936e-05 & 1.99040127913968e-05 \tabularnewline
184 & 0.999976756035809 & 4.64879283817178e-05 & 2.32439641908589e-05 \tabularnewline
185 & 0.999985899882832 & 2.82002343353897e-05 & 1.41001171676949e-05 \tabularnewline
186 & 0.99999391400086 & 1.21719982808993e-05 & 6.08599914044963e-06 \tabularnewline
187 & 0.999995455341587 & 9.08931682639166e-06 & 4.54465841319583e-06 \tabularnewline
188 & 0.999998217670401 & 3.56465919802676e-06 & 1.78232959901338e-06 \tabularnewline
189 & 0.999997569536521 & 4.86092695770664e-06 & 2.43046347885332e-06 \tabularnewline
190 & 0.999999883890437 & 2.32219124963578e-07 & 1.16109562481789e-07 \tabularnewline
191 & 0.999999826993358 & 3.46013283661353e-07 & 1.73006641830677e-07 \tabularnewline
192 & 0.999999718252612 & 5.63494775174533e-07 & 2.81747387587267e-07 \tabularnewline
193 & 0.999999707587166 & 5.84825667610345e-07 & 2.92412833805172e-07 \tabularnewline
194 & 0.999999788844159 & 4.22311682389804e-07 & 2.11155841194902e-07 \tabularnewline
195 & 0.999999677041075 & 6.45917849909177e-07 & 3.22958924954588e-07 \tabularnewline
196 & 0.999999716630543 & 5.66738914294369e-07 & 2.83369457147184e-07 \tabularnewline
197 & 0.999999632826547 & 7.34346906795119e-07 & 3.67173453397559e-07 \tabularnewline
198 & 0.999999621379248 & 7.57241503353203e-07 & 3.78620751676602e-07 \tabularnewline
199 & 0.999999443002106 & 1.113995788534e-06 & 5.56997894266998e-07 \tabularnewline
200 & 0.99999919844876 & 1.60310248001423e-06 & 8.01551240007116e-07 \tabularnewline
201 & 0.999998703918777 & 2.5921624466849e-06 & 1.29608122334245e-06 \tabularnewline
202 & 0.999999769178776 & 4.61642448417759e-07 & 2.30821224208879e-07 \tabularnewline
203 & 0.999999694077978 & 6.11844043106284e-07 & 3.05922021553142e-07 \tabularnewline
204 & 0.999999511502504 & 9.76994992796113e-07 & 4.88497496398056e-07 \tabularnewline
205 & 0.999999203795643 & 1.59240871377285e-06 & 7.96204356886427e-07 \tabularnewline
206 & 0.999999448930896 & 1.10213820888258e-06 & 5.51069104441291e-07 \tabularnewline
207 & 0.999999094826535 & 1.810346930689e-06 & 9.05173465344501e-07 \tabularnewline
208 & 0.999999094049212 & 1.81190157514043e-06 & 9.05950787570215e-07 \tabularnewline
209 & 0.999998514829338 & 2.97034132438368e-06 & 1.48517066219184e-06 \tabularnewline
210 & 0.99999838101015 & 3.23797970024422e-06 & 1.61898985012211e-06 \tabularnewline
211 & 0.999999071678579 & 1.85664284208393e-06 & 9.28321421041963e-07 \tabularnewline
212 & 0.999998481846425 & 3.03630714961894e-06 & 1.51815357480947e-06 \tabularnewline
213 & 0.999998183771933 & 3.63245613335418e-06 & 1.81622806667709e-06 \tabularnewline
214 & 0.999997048059002 & 5.90388199607987e-06 & 2.95194099803993e-06 \tabularnewline
215 & 0.999997896542663 & 4.20691467317873e-06 & 2.10345733658937e-06 \tabularnewline
216 & 0.999999337235066 & 1.32552986879553e-06 & 6.62764934397767e-07 \tabularnewline
217 & 0.999998905999529 & 2.18800094229171e-06 & 1.09400047114585e-06 \tabularnewline
218 & 0.999998302023845 & 3.39595231029636e-06 & 1.69797615514818e-06 \tabularnewline
219 & 0.999997405415073 & 5.18916985392606e-06 & 2.59458492696303e-06 \tabularnewline
220 & 0.999996170254081 & 7.65949183830872e-06 & 3.82974591915436e-06 \tabularnewline
221 & 0.999995494126646 & 9.01174670815764e-06 & 4.50587335407882e-06 \tabularnewline
222 & 0.999992789006524 & 1.44219869522334e-05 & 7.21099347611669e-06 \tabularnewline
223 & 0.999988643743529 & 2.27125129422573e-05 & 1.13562564711287e-05 \tabularnewline
224 & 0.999984452059138 & 3.10958817238859e-05 & 1.5547940861943e-05 \tabularnewline
225 & 0.99999083100418 & 1.83379916395634e-05 & 9.16899581978172e-06 \tabularnewline
226 & 0.999996310180905 & 7.37963819000275e-06 & 3.68981909500138e-06 \tabularnewline
227 & 0.999998456448772 & 3.08710245642351e-06 & 1.54355122821176e-06 \tabularnewline
228 & 0.999997291815155 & 5.41636969008697e-06 & 2.70818484504349e-06 \tabularnewline
229 & 0.999995491567962 & 9.01686407667421e-06 & 4.5084320383371e-06 \tabularnewline
230 & 0.999994660503113 & 1.0678993774477e-05 & 5.33949688723852e-06 \tabularnewline
231 & 0.999997389172325 & 5.22165535103226e-06 & 2.61082767551613e-06 \tabularnewline
232 & 0.999995836776661 & 8.32644667879996e-06 & 4.16322333939998e-06 \tabularnewline
233 & 0.999995172589763 & 9.65482047346922e-06 & 4.82741023673461e-06 \tabularnewline
234 & 0.999994753891327 & 1.0492217345736e-05 & 5.24610867286798e-06 \tabularnewline
235 & 0.99999410997369 & 1.17800526208251e-05 & 5.89002631041256e-06 \tabularnewline
236 & 0.99999388649904 & 1.22270019192188e-05 & 6.11350095960939e-06 \tabularnewline
237 & 0.999990309036256 & 1.93819274887075e-05 & 9.69096374435374e-06 \tabularnewline
238 & 0.999990530758794 & 1.89384824112675e-05 & 9.46924120563373e-06 \tabularnewline
239 & 0.999985137753908 & 2.97244921834461e-05 & 1.4862246091723e-05 \tabularnewline
240 & 0.99998489709716 & 3.02058056795014e-05 & 1.51029028397507e-05 \tabularnewline
241 & 0.99997553278589 & 4.89344282208216e-05 & 2.44672141104108e-05 \tabularnewline
242 & 0.999968494759055 & 6.30104818899505e-05 & 3.15052409449753e-05 \tabularnewline
243 & 0.999960923845901 & 7.81523081985753e-05 & 3.90761540992877e-05 \tabularnewline
244 & 0.999937264138896 & 0.000125471722208132 & 6.27358611040661e-05 \tabularnewline
245 & 0.999891746311937 & 0.000216507376126136 & 0.000108253688063068 \tabularnewline
246 & 0.999814826466212 & 0.000370347067576565 & 0.000185173533788282 \tabularnewline
247 & 0.999870348236404 & 0.000259303527192373 & 0.000129651763596187 \tabularnewline
248 & 0.999784345164312 & 0.000431309671375268 & 0.000215654835687634 \tabularnewline
249 & 0.9998605301621 & 0.000278939675799387 & 0.000139469837899694 \tabularnewline
250 & 0.999900050992038 & 0.000199898015923069 & 9.99490079615346e-05 \tabularnewline
251 & 0.999846621043945 & 0.00030675791211065 & 0.000153378956055325 \tabularnewline
252 & 0.999738318471051 & 0.00052336305789815 & 0.000261681528949075 \tabularnewline
253 & 0.999764028537115 & 0.000471942925770741 & 0.00023597146288537 \tabularnewline
254 & 0.999581682154743 & 0.000836635690513786 & 0.000418317845256893 \tabularnewline
255 & 0.999290802094146 & 0.00141839581170769 & 0.000709197905853844 \tabularnewline
256 & 0.999141459736785 & 0.00171708052642918 & 0.000858540263214588 \tabularnewline
257 & 0.998598029983103 & 0.00280394003379334 & 0.00140197001689667 \tabularnewline
258 & 0.997688501043589 & 0.00462299791282235 & 0.00231149895641117 \tabularnewline
259 & 0.997726753471751 & 0.00454649305649765 & 0.00227324652824882 \tabularnewline
260 & 0.996221583168258 & 0.00755683366348398 & 0.00377841683174199 \tabularnewline
261 & 0.998498232157138 & 0.00300353568572344 & 0.00150176784286172 \tabularnewline
262 & 0.997548799139421 & 0.00490240172115792 & 0.00245120086057896 \tabularnewline
263 & 0.995785753205566 & 0.00842849358886728 & 0.00421424679443364 \tabularnewline
264 & 0.993421375962615 & 0.0131572480747704 & 0.0065786240373852 \tabularnewline
265 & 0.98907648860788 & 0.0218470227842408 & 0.0109235113921204 \tabularnewline
266 & 0.982807242782678 & 0.0343855144346444 & 0.0171927572173222 \tabularnewline
267 & 0.977508025774723 & 0.0449839484505538 & 0.0224919742252769 \tabularnewline
268 & 0.966197157726636 & 0.0676056845467273 & 0.0338028422733636 \tabularnewline
269 & 0.947400824972846 & 0.105198350054308 & 0.0525991750271539 \tabularnewline
270 & 0.927902098085169 & 0.144195803829663 & 0.0720979019148315 \tabularnewline
271 & 0.892986295981818 & 0.214027408036364 & 0.107013704018182 \tabularnewline
272 & 0.865060924584917 & 0.269878150830167 & 0.134939075415083 \tabularnewline
273 & 0.923522476434162 & 0.152955047131676 & 0.0764775235658378 \tabularnewline
274 & 0.888487387070597 & 0.223025225858807 & 0.111512612929403 \tabularnewline
275 & 0.839398528245049 & 0.321202943509901 & 0.160601471754951 \tabularnewline
276 & 0.79511946007101 & 0.40976107985798 & 0.20488053992899 \tabularnewline
277 & 0.708969285869213 & 0.582061428261575 & 0.291030714130787 \tabularnewline
278 & 0.702950327012367 & 0.594099345975267 & 0.297049672987633 \tabularnewline
279 & 0.596433736202573 & 0.807132527594853 & 0.403566263797426 \tabularnewline
280 & 0.493034741286271 & 0.986069482572542 & 0.506965258713729 \tabularnewline
281 & 0.447313613857146 & 0.894627227714292 & 0.552686386142854 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156376&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]8[/C][C]0.653059493494738[/C][C]0.693881013010525[/C][C]0.346940506505262[/C][/ROW]
[ROW][C]9[/C][C]0.600797495358642[/C][C]0.798405009282716[/C][C]0.399202504641358[/C][/ROW]
[ROW][C]10[/C][C]0.523395851203472[/C][C]0.953208297593057[/C][C]0.476604148796528[/C][/ROW]
[ROW][C]11[/C][C]0.408191666621378[/C][C]0.816383333242756[/C][C]0.591808333378622[/C][/ROW]
[ROW][C]12[/C][C]0.517509411441818[/C][C]0.964981177116364[/C][C]0.482490588558182[/C][/ROW]
[ROW][C]13[/C][C]0.939062996468516[/C][C]0.121874007062968[/C][C]0.0609370035314838[/C][/ROW]
[ROW][C]14[/C][C]0.930269385739215[/C][C]0.13946122852157[/C][C]0.0697306142607851[/C][/ROW]
[ROW][C]15[/C][C]0.934615956618752[/C][C]0.130768086762496[/C][C]0.0653840433812479[/C][/ROW]
[ROW][C]16[/C][C]0.924084655470419[/C][C]0.151830689059162[/C][C]0.0759153445295808[/C][/ROW]
[ROW][C]17[/C][C]0.94758707559289[/C][C]0.10482584881422[/C][C]0.0524129244071098[/C][/ROW]
[ROW][C]18[/C][C]0.933356840975089[/C][C]0.133286318049823[/C][C]0.0666431590249113[/C][/ROW]
[ROW][C]19[/C][C]0.909597637167519[/C][C]0.180804725664962[/C][C]0.0904023628324808[/C][/ROW]
[ROW][C]20[/C][C]0.925434531261198[/C][C]0.149130937477603[/C][C]0.0745654687388017[/C][/ROW]
[ROW][C]21[/C][C]0.899526860683261[/C][C]0.200946278633478[/C][C]0.100473139316739[/C][/ROW]
[ROW][C]22[/C][C]0.874372208446131[/C][C]0.251255583107739[/C][C]0.125627791553869[/C][/ROW]
[ROW][C]23[/C][C]0.841929167410252[/C][C]0.316141665179496[/C][C]0.158070832589748[/C][/ROW]
[ROW][C]24[/C][C]0.800784934035844[/C][C]0.398430131928312[/C][C]0.199215065964156[/C][/ROW]
[ROW][C]25[/C][C]0.830643571197494[/C][C]0.338712857605011[/C][C]0.169356428802506[/C][/ROW]
[ROW][C]26[/C][C]0.806486132159812[/C][C]0.387027735680376[/C][C]0.193513867840188[/C][/ROW]
[ROW][C]27[/C][C]0.763463071409087[/C][C]0.473073857181826[/C][C]0.236536928590913[/C][/ROW]
[ROW][C]28[/C][C]0.723316338118694[/C][C]0.553367323762612[/C][C]0.276683661881306[/C][/ROW]
[ROW][C]29[/C][C]0.677741371420312[/C][C]0.644517257159376[/C][C]0.322258628579688[/C][/ROW]
[ROW][C]30[/C][C]0.628093721058275[/C][C]0.74381255788345[/C][C]0.371906278941725[/C][/ROW]
[ROW][C]31[/C][C]0.574197478039009[/C][C]0.851605043921982[/C][C]0.425802521960991[/C][/ROW]
[ROW][C]32[/C][C]0.532411930832277[/C][C]0.935176138335445[/C][C]0.467588069167723[/C][/ROW]
[ROW][C]33[/C][C]0.592498198359868[/C][C]0.815003603280265[/C][C]0.407501801640132[/C][/ROW]
[ROW][C]34[/C][C]0.675599916540881[/C][C]0.648800166918237[/C][C]0.324400083459118[/C][/ROW]
[ROW][C]35[/C][C]0.69974577972031[/C][C]0.60050844055938[/C][C]0.30025422027969[/C][/ROW]
[ROW][C]36[/C][C]0.688921084515087[/C][C]0.622157830969825[/C][C]0.311078915484913[/C][/ROW]
[ROW][C]37[/C][C]0.752161616513935[/C][C]0.49567676697213[/C][C]0.247838383486065[/C][/ROW]
[ROW][C]38[/C][C]0.725903247350715[/C][C]0.54819350529857[/C][C]0.274096752649285[/C][/ROW]
[ROW][C]39[/C][C]0.691069307521523[/C][C]0.617861384956954[/C][C]0.308930692478477[/C][/ROW]
[ROW][C]40[/C][C]0.868586906187451[/C][C]0.262826187625098[/C][C]0.131413093812549[/C][/ROW]
[ROW][C]41[/C][C]0.841403697009815[/C][C]0.31719260598037[/C][C]0.158596302990185[/C][/ROW]
[ROW][C]42[/C][C]0.843725705012893[/C][C]0.312548589974215[/C][C]0.156274294987107[/C][/ROW]
[ROW][C]43[/C][C]0.837111811385337[/C][C]0.325776377229326[/C][C]0.162888188614663[/C][/ROW]
[ROW][C]44[/C][C]0.811743395317436[/C][C]0.376513209365129[/C][C]0.188256604682564[/C][/ROW]
[ROW][C]45[/C][C]0.784937915157091[/C][C]0.430124169685818[/C][C]0.215062084842909[/C][/ROW]
[ROW][C]46[/C][C]0.811145057124436[/C][C]0.377709885751127[/C][C]0.188854942875564[/C][/ROW]
[ROW][C]47[/C][C]0.810224678705312[/C][C]0.379550642589376[/C][C]0.189775321294688[/C][/ROW]
[ROW][C]48[/C][C]0.777840628890475[/C][C]0.44431874221905[/C][C]0.222159371109525[/C][/ROW]
[ROW][C]49[/C][C]0.763056237620509[/C][C]0.473887524758983[/C][C]0.236943762379491[/C][/ROW]
[ROW][C]50[/C][C]0.855250920525155[/C][C]0.28949815894969[/C][C]0.144749079474845[/C][/ROW]
[ROW][C]51[/C][C]0.839453516961027[/C][C]0.321092966077946[/C][C]0.160546483038973[/C][/ROW]
[ROW][C]52[/C][C]0.839438371241886[/C][C]0.321123257516229[/C][C]0.160561628758114[/C][/ROW]
[ROW][C]53[/C][C]0.845738156812372[/C][C]0.308523686375257[/C][C]0.154261843187628[/C][/ROW]
[ROW][C]54[/C][C]0.825814705543581[/C][C]0.348370588912838[/C][C]0.174185294456419[/C][/ROW]
[ROW][C]55[/C][C]0.807486982827165[/C][C]0.38502603434567[/C][C]0.192513017172835[/C][/ROW]
[ROW][C]56[/C][C]0.778876986403438[/C][C]0.442246027193124[/C][C]0.221123013596562[/C][/ROW]
[ROW][C]57[/C][C]0.836425915075968[/C][C]0.327148169848064[/C][C]0.163574084924032[/C][/ROW]
[ROW][C]58[/C][C]0.809262405144353[/C][C]0.381475189711293[/C][C]0.190737594855647[/C][/ROW]
[ROW][C]59[/C][C]0.780994645129589[/C][C]0.438010709740822[/C][C]0.219005354870411[/C][/ROW]
[ROW][C]60[/C][C]0.779259073896143[/C][C]0.441481852207714[/C][C]0.220740926103857[/C][/ROW]
[ROW][C]61[/C][C]0.755951800229048[/C][C]0.488096399541903[/C][C]0.244048199770952[/C][/ROW]
[ROW][C]62[/C][C]0.738256723827163[/C][C]0.523486552345674[/C][C]0.261743276172837[/C][/ROW]
[ROW][C]63[/C][C]0.927388190014521[/C][C]0.145223619970959[/C][C]0.0726118099854794[/C][/ROW]
[ROW][C]64[/C][C]0.915264076750552[/C][C]0.169471846498895[/C][C]0.0847359232494475[/C][/ROW]
[ROW][C]65[/C][C]0.944378303389097[/C][C]0.111243393221806[/C][C]0.0556216966109029[/C][/ROW]
[ROW][C]66[/C][C]0.933243587879496[/C][C]0.133512824241007[/C][C]0.0667564121205035[/C][/ROW]
[ROW][C]67[/C][C]0.919799827750001[/C][C]0.160400344499998[/C][C]0.0802001722499989[/C][/ROW]
[ROW][C]68[/C][C]0.906665176365334[/C][C]0.186669647269332[/C][C]0.0933348236346661[/C][/ROW]
[ROW][C]69[/C][C]0.970495513408686[/C][C]0.0590089731826271[/C][C]0.0295044865913136[/C][/ROW]
[ROW][C]70[/C][C]0.980321998252848[/C][C]0.0393560034943039[/C][C]0.019678001747152[/C][/ROW]
[ROW][C]71[/C][C]0.975332365523682[/C][C]0.0493352689526357[/C][C]0.0246676344763178[/C][/ROW]
[ROW][C]72[/C][C]0.970636155861436[/C][C]0.0587276882771277[/C][C]0.0293638441385639[/C][/ROW]
[ROW][C]73[/C][C]0.964220352134472[/C][C]0.0715592957310558[/C][C]0.0357796478655279[/C][/ROW]
[ROW][C]74[/C][C]0.958447760974051[/C][C]0.0831044780518987[/C][C]0.0415522390259494[/C][/ROW]
[ROW][C]75[/C][C]0.960469020087965[/C][C]0.0790619598240695[/C][C]0.0395309799120347[/C][/ROW]
[ROW][C]76[/C][C]0.953985048012525[/C][C]0.0920299039749498[/C][C]0.0460149519874749[/C][/ROW]
[ROW][C]77[/C][C]0.946920207856354[/C][C]0.106159584287293[/C][C]0.0530797921436464[/C][/ROW]
[ROW][C]78[/C][C]0.967200951642781[/C][C]0.0655980967144382[/C][C]0.0327990483572191[/C][/ROW]
[ROW][C]79[/C][C]0.964658774394684[/C][C]0.070682451210633[/C][C]0.0353412256053165[/C][/ROW]
[ROW][C]80[/C][C]0.976408606424519[/C][C]0.0471827871509613[/C][C]0.0235913935754807[/C][/ROW]
[ROW][C]81[/C][C]0.971117461137238[/C][C]0.0577650777255238[/C][C]0.0288825388627619[/C][/ROW]
[ROW][C]82[/C][C]0.972607750218821[/C][C]0.0547844995623578[/C][C]0.0273922497811789[/C][/ROW]
[ROW][C]83[/C][C]0.96666714519379[/C][C]0.0666657096124194[/C][C]0.0333328548062097[/C][/ROW]
[ROW][C]84[/C][C]0.965199867689808[/C][C]0.0696002646203832[/C][C]0.0348001323101916[/C][/ROW]
[ROW][C]85[/C][C]0.963039776964813[/C][C]0.0739204460703749[/C][C]0.0369602230351875[/C][/ROW]
[ROW][C]86[/C][C]0.959216091094856[/C][C]0.0815678178102883[/C][C]0.0407839089051441[/C][/ROW]
[ROW][C]87[/C][C]0.961222850402135[/C][C]0.0775542991957303[/C][C]0.0387771495978652[/C][/ROW]
[ROW][C]88[/C][C]0.953723217432367[/C][C]0.0925535651352652[/C][C]0.0462767825676326[/C][/ROW]
[ROW][C]89[/C][C]0.944974017612053[/C][C]0.110051964775895[/C][C]0.0550259823879473[/C][/ROW]
[ROW][C]90[/C][C]0.937265058192622[/C][C]0.125469883614756[/C][C]0.0627349418073781[/C][/ROW]
[ROW][C]91[/C][C]0.930618539316857[/C][C]0.138762921366286[/C][C]0.0693814606831428[/C][/ROW]
[ROW][C]92[/C][C]0.966369019386531[/C][C]0.0672619612269381[/C][C]0.0336309806134691[/C][/ROW]
[ROW][C]93[/C][C]0.96264731956806[/C][C]0.0747053608638796[/C][C]0.0373526804319398[/C][/ROW]
[ROW][C]94[/C][C]0.955574994789788[/C][C]0.0888500104204235[/C][C]0.0444250052102118[/C][/ROW]
[ROW][C]95[/C][C]0.948143598633075[/C][C]0.10371280273385[/C][C]0.051856401366925[/C][/ROW]
[ROW][C]96[/C][C]0.944300708737285[/C][C]0.111398582525429[/C][C]0.0556992912627146[/C][/ROW]
[ROW][C]97[/C][C]0.977805766921054[/C][C]0.044388466157892[/C][C]0.022194233078946[/C][/ROW]
[ROW][C]98[/C][C]0.975902964696719[/C][C]0.0481940706065622[/C][C]0.0240970353032811[/C][/ROW]
[ROW][C]99[/C][C]0.976328925681758[/C][C]0.0473421486364837[/C][C]0.0236710743182418[/C][/ROW]
[ROW][C]100[/C][C]0.971185506621964[/C][C]0.0576289867560716[/C][C]0.0288144933780358[/C][/ROW]
[ROW][C]101[/C][C]0.965534598465072[/C][C]0.068930803069857[/C][C]0.0344654015349285[/C][/ROW]
[ROW][C]102[/C][C]0.960216892602196[/C][C]0.0795662147956085[/C][C]0.0397831073978043[/C][/ROW]
[ROW][C]103[/C][C]0.958241079468244[/C][C]0.0835178410635124[/C][C]0.0417589205317562[/C][/ROW]
[ROW][C]104[/C][C]0.951648512444612[/C][C]0.0967029751107762[/C][C]0.0483514875553881[/C][/ROW]
[ROW][C]105[/C][C]0.951211110966835[/C][C]0.0975777780663292[/C][C]0.0487888890331646[/C][/ROW]
[ROW][C]106[/C][C]0.956245542843834[/C][C]0.0875089143123316[/C][C]0.0437544571561658[/C][/ROW]
[ROW][C]107[/C][C]0.984749018435803[/C][C]0.0305019631283932[/C][C]0.0152509815641966[/C][/ROW]
[ROW][C]108[/C][C]0.982301467522832[/C][C]0.0353970649543351[/C][C]0.0176985324771676[/C][/ROW]
[ROW][C]109[/C][C]0.998553800712661[/C][C]0.00289239857467742[/C][C]0.00144619928733871[/C][/ROW]
[ROW][C]110[/C][C]0.998827143363013[/C][C]0.00234571327397302[/C][C]0.00117285663698651[/C][/ROW]
[ROW][C]111[/C][C]0.998669567367343[/C][C]0.00266086526531415[/C][C]0.00133043263265708[/C][/ROW]
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[ROW][C]251[/C][C]0.999846621043945[/C][C]0.00030675791211065[/C][C]0.000153378956055325[/C][/ROW]
[ROW][C]252[/C][C]0.999738318471051[/C][C]0.00052336305789815[/C][C]0.000261681528949075[/C][/ROW]
[ROW][C]253[/C][C]0.999764028537115[/C][C]0.000471942925770741[/C][C]0.00023597146288537[/C][/ROW]
[ROW][C]254[/C][C]0.999581682154743[/C][C]0.000836635690513786[/C][C]0.000418317845256893[/C][/ROW]
[ROW][C]255[/C][C]0.999290802094146[/C][C]0.00141839581170769[/C][C]0.000709197905853844[/C][/ROW]
[ROW][C]256[/C][C]0.999141459736785[/C][C]0.00171708052642918[/C][C]0.000858540263214588[/C][/ROW]
[ROW][C]257[/C][C]0.998598029983103[/C][C]0.00280394003379334[/C][C]0.00140197001689667[/C][/ROW]
[ROW][C]258[/C][C]0.997688501043589[/C][C]0.00462299791282235[/C][C]0.00231149895641117[/C][/ROW]
[ROW][C]259[/C][C]0.997726753471751[/C][C]0.00454649305649765[/C][C]0.00227324652824882[/C][/ROW]
[ROW][C]260[/C][C]0.996221583168258[/C][C]0.00755683366348398[/C][C]0.00377841683174199[/C][/ROW]
[ROW][C]261[/C][C]0.998498232157138[/C][C]0.00300353568572344[/C][C]0.00150176784286172[/C][/ROW]
[ROW][C]262[/C][C]0.997548799139421[/C][C]0.00490240172115792[/C][C]0.00245120086057896[/C][/ROW]
[ROW][C]263[/C][C]0.995785753205566[/C][C]0.00842849358886728[/C][C]0.00421424679443364[/C][/ROW]
[ROW][C]264[/C][C]0.993421375962615[/C][C]0.0131572480747704[/C][C]0.0065786240373852[/C][/ROW]
[ROW][C]265[/C][C]0.98907648860788[/C][C]0.0218470227842408[/C][C]0.0109235113921204[/C][/ROW]
[ROW][C]266[/C][C]0.982807242782678[/C][C]0.0343855144346444[/C][C]0.0171927572173222[/C][/ROW]
[ROW][C]267[/C][C]0.977508025774723[/C][C]0.0449839484505538[/C][C]0.0224919742252769[/C][/ROW]
[ROW][C]268[/C][C]0.966197157726636[/C][C]0.0676056845467273[/C][C]0.0338028422733636[/C][/ROW]
[ROW][C]269[/C][C]0.947400824972846[/C][C]0.105198350054308[/C][C]0.0525991750271539[/C][/ROW]
[ROW][C]270[/C][C]0.927902098085169[/C][C]0.144195803829663[/C][C]0.0720979019148315[/C][/ROW]
[ROW][C]271[/C][C]0.892986295981818[/C][C]0.214027408036364[/C][C]0.107013704018182[/C][/ROW]
[ROW][C]272[/C][C]0.865060924584917[/C][C]0.269878150830167[/C][C]0.134939075415083[/C][/ROW]
[ROW][C]273[/C][C]0.923522476434162[/C][C]0.152955047131676[/C][C]0.0764775235658378[/C][/ROW]
[ROW][C]274[/C][C]0.888487387070597[/C][C]0.223025225858807[/C][C]0.111512612929403[/C][/ROW]
[ROW][C]275[/C][C]0.839398528245049[/C][C]0.321202943509901[/C][C]0.160601471754951[/C][/ROW]
[ROW][C]276[/C][C]0.79511946007101[/C][C]0.40976107985798[/C][C]0.20488053992899[/C][/ROW]
[ROW][C]277[/C][C]0.708969285869213[/C][C]0.582061428261575[/C][C]0.291030714130787[/C][/ROW]
[ROW][C]278[/C][C]0.702950327012367[/C][C]0.594099345975267[/C][C]0.297049672987633[/C][/ROW]
[ROW][C]279[/C][C]0.596433736202573[/C][C]0.807132527594853[/C][C]0.403566263797426[/C][/ROW]
[ROW][C]280[/C][C]0.493034741286271[/C][C]0.986069482572542[/C][C]0.506965258713729[/C][/ROW]
[ROW][C]281[/C][C]0.447313613857146[/C][C]0.894627227714292[/C][C]0.552686386142854[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156376&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156376&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
80.6530594934947380.6938810130105250.346940506505262
90.6007974953586420.7984050092827160.399202504641358
100.5233958512034720.9532082975930570.476604148796528
110.4081916666213780.8163833332427560.591808333378622
120.5175094114418180.9649811771163640.482490588558182
130.9390629964685160.1218740070629680.0609370035314838
140.9302693857392150.139461228521570.0697306142607851
150.9346159566187520.1307680867624960.0653840433812479
160.9240846554704190.1518306890591620.0759153445295808
170.947587075592890.104825848814220.0524129244071098
180.9333568409750890.1332863180498230.0666431590249113
190.9095976371675190.1808047256649620.0904023628324808
200.9254345312611980.1491309374776030.0745654687388017
210.8995268606832610.2009462786334780.100473139316739
220.8743722084461310.2512555831077390.125627791553869
230.8419291674102520.3161416651794960.158070832589748
240.8007849340358440.3984301319283120.199215065964156
250.8306435711974940.3387128576050110.169356428802506
260.8064861321598120.3870277356803760.193513867840188
270.7634630714090870.4730738571818260.236536928590913
280.7233163381186940.5533673237626120.276683661881306
290.6777413714203120.6445172571593760.322258628579688
300.6280937210582750.743812557883450.371906278941725
310.5741974780390090.8516050439219820.425802521960991
320.5324119308322770.9351761383354450.467588069167723
330.5924981983598680.8150036032802650.407501801640132
340.6755999165408810.6488001669182370.324400083459118
350.699745779720310.600508440559380.30025422027969
360.6889210845150870.6221578309698250.311078915484913
370.7521616165139350.495676766972130.247838383486065
380.7259032473507150.548193505298570.274096752649285
390.6910693075215230.6178613849569540.308930692478477
400.8685869061874510.2628261876250980.131413093812549
410.8414036970098150.317192605980370.158596302990185
420.8437257050128930.3125485899742150.156274294987107
430.8371118113853370.3257763772293260.162888188614663
440.8117433953174360.3765132093651290.188256604682564
450.7849379151570910.4301241696858180.215062084842909
460.8111450571244360.3777098857511270.188854942875564
470.8102246787053120.3795506425893760.189775321294688
480.7778406288904750.444318742219050.222159371109525
490.7630562376205090.4738875247589830.236943762379491
500.8552509205251550.289498158949690.144749079474845
510.8394535169610270.3210929660779460.160546483038973
520.8394383712418860.3211232575162290.160561628758114
530.8457381568123720.3085236863752570.154261843187628
540.8258147055435810.3483705889128380.174185294456419
550.8074869828271650.385026034345670.192513017172835
560.7788769864034380.4422460271931240.221123013596562
570.8364259150759680.3271481698480640.163574084924032
580.8092624051443530.3814751897112930.190737594855647
590.7809946451295890.4380107097408220.219005354870411
600.7792590738961430.4414818522077140.220740926103857
610.7559518002290480.4880963995419030.244048199770952
620.7382567238271630.5234865523456740.261743276172837
630.9273881900145210.1452236199709590.0726118099854794
640.9152640767505520.1694718464988950.0847359232494475
650.9443783033890970.1112433932218060.0556216966109029
660.9332435878794960.1335128242410070.0667564121205035
670.9197998277500010.1604003444999980.0802001722499989
680.9066651763653340.1866696472693320.0933348236346661
690.9704955134086860.05900897318262710.0295044865913136
700.9803219982528480.03935600349430390.019678001747152
710.9753323655236820.04933526895263570.0246676344763178
720.9706361558614360.05872768827712770.0293638441385639
730.9642203521344720.07155929573105580.0357796478655279
740.9584477609740510.08310447805189870.0415522390259494
750.9604690200879650.07906195982406950.0395309799120347
760.9539850480125250.09202990397494980.0460149519874749
770.9469202078563540.1061595842872930.0530797921436464
780.9672009516427810.06559809671443820.0327990483572191
790.9646587743946840.0706824512106330.0353412256053165
800.9764086064245190.04718278715096130.0235913935754807
810.9711174611372380.05776507772552380.0288825388627619
820.9726077502188210.05478449956235780.0273922497811789
830.966667145193790.06666570961241940.0333328548062097
840.9651998676898080.06960026462038320.0348001323101916
850.9630397769648130.07392044607037490.0369602230351875
860.9592160910948560.08156781781028830.0407839089051441
870.9612228504021350.07755429919573030.0387771495978652
880.9537232174323670.09255356513526520.0462767825676326
890.9449740176120530.1100519647758950.0550259823879473
900.9372650581926220.1254698836147560.0627349418073781
910.9306185393168570.1387629213662860.0693814606831428
920.9663690193865310.06726196122693810.0336309806134691
930.962647319568060.07470536086387960.0373526804319398
940.9555749947897880.08885001042042350.0444250052102118
950.9481435986330750.103712802733850.051856401366925
960.9443007087372850.1113985825254290.0556992912627146
970.9778057669210540.0443884661578920.022194233078946
980.9759029646967190.04819407060656220.0240970353032811
990.9763289256817580.04734214863648370.0236710743182418
1000.9711855066219640.05762898675607160.0288144933780358
1010.9655345984650720.0689308030698570.0344654015349285
1020.9602168926021960.07956621479560850.0397831073978043
1030.9582410794682440.08351784106351240.0417589205317562
1040.9516485124446120.09670297511077620.0483514875553881
1050.9512111109668350.09757777806632920.0487888890331646
1060.9562455428438340.08750891431233160.0437544571561658
1070.9847490184358030.03050196312839320.0152509815641966
1080.9823014675228320.03539706495433510.0176985324771676
1090.9985538007126610.002892398574677420.00144619928733871
1100.9988271433630130.002345713273973020.00117285663698651
1110.9986695673673430.002660865265314150.00133043263265708
1120.9991352601504920.001729479699016440.000864739849508219
1130.9988897100215210.002220579956957170.00111028997847858
1140.9987346908947850.002530618210429270.00126530910521464
1150.9983524701591230.003295059681753540.00164752984087677
1160.997851850666140.004296298667719490.00214814933385974
1170.9972017053372410.005596589325517730.00279829466275886
1180.9979557926081920.004088414783615480.00204420739180774
1190.9988925562608990.0022148874782020.001107443739101
1200.9986768948318630.002646210336274630.00132310516813732
1210.9983910003273510.003217999345297580.00160899967264879
1220.998252681345460.003494637309080030.00174731865454002
1230.9980518464610360.003896307077928170.00194815353896408
1240.9975392929997310.004921414000537720.00246070700026886
1250.9970726744063470.005854651187306260.00292732559365313
1260.9975155135769210.004968972846157530.00248448642307877
1270.9977937635518640.004412472896271770.00220623644813589
1280.9971579339534380.005684132093124830.00284206604656241
1290.9975372196623490.004925560675302590.00246278033765129
1300.9987360230042060.002527953991588680.00126397699579434
1310.9986286255105070.002742748978986110.00137137448949306
1320.9985936965538360.002812606892327350.00140630344616367
1330.998528046921290.002943906157419570.00147195307870978
1340.9986036763188420.002792647362315260.00139632368115763
1350.9994939202702120.001012159459575820.00050607972978791
1360.9995485840479220.0009028319041557950.000451415952077897
1370.9997952083737280.0004095832525435370.000204791626271768
1380.9998281645480050.0003436709039904470.000171835451995223
1390.9997817235141860.0004365529716284280.000218276485814214
1400.999777988364180.0004440232716393630.000222011635819682
1410.9997075686772390.0005848626455213040.000292431322760652
1420.999681584212110.0006368315757793760.000318415787889688
1430.9996000856329280.000799828734143860.00039991436707193
1440.9994795198877160.001040960224568960.000520480112284479
1450.9995983172236270.0008033655527459930.000401682776372997
1460.999594430977390.0008111380452205230.000405569022610261
1470.9998426904578330.0003146190843342840.000157309542167142
1480.9997888031952240.0004223936095510440.000211196804775522
1490.999765856220120.0004682875597605860.000234143779880293
1500.9998386645755690.0003226708488623410.000161335424431171
1510.9998783281136580.0002433437726848230.000121671886342412
1520.9999647980548917.04038902171887e-053.52019451085944e-05
1530.9999604221218757.91557562496725e-053.95778781248362e-05
1540.9999478833648840.0001042332702319165.21166351159581e-05
1550.9999347952214250.0001304095571505126.52047785752558e-05
1560.9999521986478219.56027043570375e-054.78013521785188e-05
1570.9999482158624960.0001035682750080455.17841375040227e-05
1580.999940621384760.0001187572304808725.93786152404359e-05
1590.9999552819440238.94361119531187e-054.47180559765593e-05
1600.9999363515657510.0001272968684971726.36484342485858e-05
1610.9999104604777990.0001790790444019368.95395222009678e-05
1620.9999047555555960.0001904888888085519.52444444042756e-05
1630.9999015016978590.0001969966042818579.84983021409283e-05
1640.9998827881026990.0002344237946011850.000117211897300592
1650.9999080770632130.0001838458735729579.19229367864786e-05
1660.9999104852430310.0001790295139383768.95147569691881e-05
1670.9999236781054440.0001526437891122577.63218945561284e-05
1680.9998967602115260.0002064795769488470.000103239788474423
1690.9998608410384440.0002783179231111330.000139158961555567
1700.9999571101313638.57797372733128e-054.28898686366564e-05
1710.9999557749448868.84501102285255e-054.42250551142628e-05
1720.9999395367313520.0001209265372962476.04632686481235e-05
1730.9999150422769370.0001699154461253418.49577230626703e-05
1740.9998929590482660.000214081903468370.000107040951734185
1750.9999705436278445.89127443126557e-052.94563721563278e-05
1760.9999741572160255.16855679496269e-052.58427839748134e-05
1770.9999653325566656.93348866702893e-053.46674433351447e-05
1780.9999527227223579.45545552862665e-054.72772776431333e-05
1790.9999385992168440.0001228015663120786.1400783156039e-05
1800.9999346824190850.0001306351618308146.53175809154068e-05
1810.9999698589695326.02820609360588e-053.01410304680294e-05
1820.9999572083196998.55833606012231e-054.27916803006115e-05
1830.9999800959872093.98080255827936e-051.99040127913968e-05
1840.9999767560358094.64879283817178e-052.32439641908589e-05
1850.9999858998828322.82002343353897e-051.41001171676949e-05
1860.999993914000861.21719982808993e-056.08599914044963e-06
1870.9999954553415879.08931682639166e-064.54465841319583e-06
1880.9999982176704013.56465919802676e-061.78232959901338e-06
1890.9999975695365214.86092695770664e-062.43046347885332e-06
1900.9999998838904372.32219124963578e-071.16109562481789e-07
1910.9999998269933583.46013283661353e-071.73006641830677e-07
1920.9999997182526125.63494775174533e-072.81747387587267e-07
1930.9999997075871665.84825667610345e-072.92412833805172e-07
1940.9999997888441594.22311682389804e-072.11155841194902e-07
1950.9999996770410756.45917849909177e-073.22958924954588e-07
1960.9999997166305435.66738914294369e-072.83369457147184e-07
1970.9999996328265477.34346906795119e-073.67173453397559e-07
1980.9999996213792487.57241503353203e-073.78620751676602e-07
1990.9999994430021061.113995788534e-065.56997894266998e-07
2000.999999198448761.60310248001423e-068.01551240007116e-07
2010.9999987039187772.5921624466849e-061.29608122334245e-06
2020.9999997691787764.61642448417759e-072.30821224208879e-07
2030.9999996940779786.11844043106284e-073.05922021553142e-07
2040.9999995115025049.76994992796113e-074.88497496398056e-07
2050.9999992037956431.59240871377285e-067.96204356886427e-07
2060.9999994489308961.10213820888258e-065.51069104441291e-07
2070.9999990948265351.810346930689e-069.05173465344501e-07
2080.9999990940492121.81190157514043e-069.05950787570215e-07
2090.9999985148293382.97034132438368e-061.48517066219184e-06
2100.999998381010153.23797970024422e-061.61898985012211e-06
2110.9999990716785791.85664284208393e-069.28321421041963e-07
2120.9999984818464253.03630714961894e-061.51815357480947e-06
2130.9999981837719333.63245613335418e-061.81622806667709e-06
2140.9999970480590025.90388199607987e-062.95194099803993e-06
2150.9999978965426634.20691467317873e-062.10345733658937e-06
2160.9999993372350661.32552986879553e-066.62764934397767e-07
2170.9999989059995292.18800094229171e-061.09400047114585e-06
2180.9999983020238453.39595231029636e-061.69797615514818e-06
2190.9999974054150735.18916985392606e-062.59458492696303e-06
2200.9999961702540817.65949183830872e-063.82974591915436e-06
2210.9999954941266469.01174670815764e-064.50587335407882e-06
2220.9999927890065241.44219869522334e-057.21099347611669e-06
2230.9999886437435292.27125129422573e-051.13562564711287e-05
2240.9999844520591383.10958817238859e-051.5547940861943e-05
2250.999990831004181.83379916395634e-059.16899581978172e-06
2260.9999963101809057.37963819000275e-063.68981909500138e-06
2270.9999984564487723.08710245642351e-061.54355122821176e-06
2280.9999972918151555.41636969008697e-062.70818484504349e-06
2290.9999954915679629.01686407667421e-064.5084320383371e-06
2300.9999946605031131.0678993774477e-055.33949688723852e-06
2310.9999973891723255.22165535103226e-062.61082767551613e-06
2320.9999958367766618.32644667879996e-064.16322333939998e-06
2330.9999951725897639.65482047346922e-064.82741023673461e-06
2340.9999947538913271.0492217345736e-055.24610867286798e-06
2350.999994109973691.17800526208251e-055.89002631041256e-06
2360.999993886499041.22270019192188e-056.11350095960939e-06
2370.9999903090362561.93819274887075e-059.69096374435374e-06
2380.9999905307587941.89384824112675e-059.46924120563373e-06
2390.9999851377539082.97244921834461e-051.4862246091723e-05
2400.999984897097163.02058056795014e-051.51029028397507e-05
2410.999975532785894.89344282208216e-052.44672141104108e-05
2420.9999684947590556.30104818899505e-053.15052409449753e-05
2430.9999609238459017.81523081985753e-053.90761540992877e-05
2440.9999372641388960.0001254717222081326.27358611040661e-05
2450.9998917463119370.0002165073761261360.000108253688063068
2460.9998148264662120.0003703470675765650.000185173533788282
2470.9998703482364040.0002593035271923730.000129651763596187
2480.9997843451643120.0004313096713752680.000215654835687634
2490.99986053016210.0002789396757993870.000139469837899694
2500.9999000509920380.0001998980159230699.99490079615346e-05
2510.9998466210439450.000306757912110650.000153378956055325
2520.9997383184710510.000523363057898150.000261681528949075
2530.9997640285371150.0004719429257707410.00023597146288537
2540.9995816821547430.0008366356905137860.000418317845256893
2550.9992908020941460.001418395811707690.000709197905853844
2560.9991414597367850.001717080526429180.000858540263214588
2570.9985980299831030.002803940033793340.00140197001689667
2580.9976885010435890.004622997912822350.00231149895641117
2590.9977267534717510.004546493056497650.00227324652824882
2600.9962215831682580.007556833663483980.00377841683174199
2610.9984982321571380.003003535685723440.00150176784286172
2620.9975487991394210.004902401721157920.00245120086057896
2630.9957857532055660.008428493588867280.00421424679443364
2640.9934213759626150.01315724807477040.0065786240373852
2650.989076488607880.02184702278424080.0109235113921204
2660.9828072427826780.03438551443464440.0171927572173222
2670.9775080257747230.04498394845055380.0224919742252769
2680.9661971577266360.06760568454672730.0338028422733636
2690.9474008249728460.1051983500543080.0525991750271539
2700.9279020980851690.1441958038296630.0720979019148315
2710.8929862959818180.2140274080363640.107013704018182
2720.8650609245849170.2698781508301670.134939075415083
2730.9235224764341620.1529550471316760.0764775235658378
2740.8884873870705970.2230252258588070.111512612929403
2750.8393985282450490.3212029435099010.160601471754951
2760.795119460071010.409761079857980.20488053992899
2770.7089692858692130.5820614282615750.291030714130787
2780.7029503270123670.5940993459752670.297049672987633
2790.5964337362025730.8071325275948530.403566263797426
2800.4930347412862710.9860694825725420.506965258713729
2810.4473136138571460.8946272277142920.552686386142854







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1550.565693430656934NOK
5% type I error level1670.60948905109489NOK
10% type I error level1940.708029197080292NOK

\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 & 155 & 0.565693430656934 & NOK \tabularnewline
5% type I error level & 167 & 0.60948905109489 & NOK \tabularnewline
10% type I error level & 194 & 0.708029197080292 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156376&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]155[/C][C]0.565693430656934[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]167[/C][C]0.60948905109489[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]194[/C][C]0.708029197080292[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156376&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156376&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 level1550.565693430656934NOK
5% type I error level1670.60948905109489NOK
10% type I error level1940.708029197080292NOK



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