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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSat, 17 Dec 2011 10:15:20 -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/t1324134951sc90lyiwnu699im.htm/, Retrieved Mon, 06 May 2024 18:48:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156382, Retrieved Mon, 06 May 2024 18:48:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

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 15:15:20] [9c3f7eb531442757fa35fbfef7e48a65] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30	210907	79	112285	1418	144
28	120982	58	84786	869	103
38	176508	60	83123	1530	98
30	179321	108	101193	2172	135
22	123185	49	38361	901	61
26	52746	0	68504	463	39
25	385534	121	119182	3201	150
18	33170	1	22807	371	5
11	101645	20	17140	1192	28
26	149061	43	116174	1583	84
25	165446	69	57635	1439	80
38	237213	78	66198	1764	130
44	173326	86	71701	1495	82
30	133131	44	57793	1373	60
40	258873	104	80444	2187	131
34	180083	63	53855	1491	84
47	324799	158	97668	4041	140
30	230964	102	133824	1706	151
31	236785	77	101481	2152	91
23	135473	82	99645	1036	138
36	202925	115	114789	1882	150
36	215147	101	99052	1929	124
30	344297	80	67654	2242	119
25	153935	50	65553	1220	73
39	132943	83	97500	1289	110
34	174724	123	69112	2515	123
31	174415	73	82753	2147	90
31	225548	81	85323	2352	116
33	223632	105	72654	1638	113
25	124817	47	30727	1222	56
33	221698	105	77873	1812	115
35	210767	94	117478	1677	119
42	170266	44	74007	1579	129
43	260561	114	90183	1731	127
30	84853	38	61542	807	27
33	294424	107	101494	2452	175
13	101011	30	27570	829	35
32	215641	71	55813	1940	64
36	325107	84	79215	2662	96
0	7176	0	1423	186	0
28	167542	59	55461	1499	84
14	106408	33	31081	865	41
17	96560	42	22996	1793	47
32	265769	96	83122	2527	126
30	269651	106	70106	2747	105
35	149112	56	60578	1324	80
20	175824	57	39992	2702	70
28	152871	59	79892	1383	73
28	111665	39	49810	1179	57
39	116408	34	71570	2099	40
34	362301	76	100708	4308	68
26	78800	20	33032	918	21
39	183167	91	82875	1831	127
39	277965	115	139077	3373	154
33	150629	85	71595	1713	116
28	168809	76	72260	1438	102
4	24188	8	5950	496	7
39	329267	79	115762	2253	148
18	65029	21	32551	744	21
14	101097	30	31701	1161	35
29	218946	76	80670	2352	112
44	244052	101	143558	2144	137
21	341570	94	117105	4691	135
16	103597	27	23789	1112	26
28	233328	92	120733	2694	230
35	256462	123	105195	1973	181
28	206161	75	73107	1769	71
38	311473	128	132068	3148	147
23	235800	105	149193	2474	190
36	177939	55	46821	2084	64
32	207176	56	87011	1954	105
29	196553	41	95260	1226	107
25	174184	72	55183	1389	94
27	143246	67	106671	1496	116
36	187559	75	73511	2269	106
28	187681	114	92945	1833	143
23	119016	118	78664	1268	81
40	182192	77	70054	1943	89
23	73566	22	22618	893	26
40	194979	66	74011	1762	84
28	167488	69	83737	1403	113
34	143756	105	69094	1425	120
33	275541	116	93133	1857	110
28	243199	88	95536	1840	134
34	182999	73	225920	1502	54
30	135649	99	62133	1441	96
33	152299	62	61370	1420	78
22	120221	53	43836	1416	51
38	346485	118	106117	2970	121
26	145790	30	38692	1317	38
35	193339	100	84651	1644	145
8	80953	49	56622	870	59
24	122774	24	15986	1654	27
29	130585	67	95364	1054	91
20	112611	46	26706	937	48
29	286468	57	89691	3004	68
45	241066	75	67267	2008	58
37	148446	135	126846	2547	150
33	204713	68	41140	1885	74
33	182079	124	102860	1626	181
25	140344	33	51715	1468	65
32	220516	98	55801	2445	97
29	243060	58	111813	1964	121
28	162765	68	120293	1381	99
28	182613	81	138599	1369	152
31	232138	131	161647	1659	188
52	265318	110	115929	2888	138
21	85574	37	24266	1290	40
24	310839	130	162901	2845	254
41	225060	93	109825	1982	87
33	232317	118	129838	1904	178
32	144966	39	37510	1391	51
19	43287	13	43750	602	49
20	155754	74	40652	1743	73
31	164709	81	87771	1559	176
31	201940	109	85872	2014	94
32	235454	151	89275	2143	120
18	220801	51	44418	2146	66
23	99466	28	192565	874	56
17	92661	40	35232	1590	39
20	133328	56	40909	1590	66
12	61361	27	13294	1210	27
17	125930	37	32387	2072	65
30	100750	83	140867	1281	58
31	224549	54	120662	1401	98
10	82316	27	21233	834	25
13	102010	28	44332	1105	26
22	101523	59	61056	1272	77
42	243511	133	101338	1944	130
1	22938	12	1168	391	11
9	41566	0	13497	761	2
32	152474	106	65567	1605	101
11	61857	23	25162	530	31
25	99923	44	32334	1988	36
36	132487	71	40735	1386	120
31	317394	116	91413	2395	195
0	21054	4	855	387	4
24	209641	62	97068	1742	89
13	22648	12	44339	620	24
8	31414	18	14116	449	39
13	46698	14	10288	800	14
19	131698	60	65622	1684	78
18	91735	7	16563	1050	15
33	244749	98	76643	2699	106
40	184510	64	110681	1606	83
22	79863	29	29011	1502	24
38	128423	32	92696	1204	37
24	97839	25	94785	1138	77
8	38214	16	8773	568	16
35	151101	48	83209	1459	56
43	272458	100	93815	2158	132
43	172494	46	86687	1111	144
14	108043	45	34553	1421	40
41	328107	129	105547	2833	153
38	250579	130	103487	1955	143
45	351067	136	213688	2922	220
31	158015	59	71220	1002	79
13	98866	25	23517	1060	50
28	85439	32	56926	956	39
31	229242	63	91721	2186	95
40	351619	95	115168	3604	169
30	84207	14	111194	1035	12
16	120445	36	51009	1417	63
37	324598	113	135777	3261	134
30	131069	47	51513	1587	69
35	204271	92	74163	1424	119
32	165543	70	51633	1701	119
27	141722	19	75345	1249	75
20	116048	50	33416	946	63
18	250047	41	83305	1926	55
31	299775	91	98952	3352	103
31	195838	111	102372	1641	197
21	173260	41	37238	2035	16
39	254488	120	103772	2312	140
41	104389	135	123969	1369	89
13	136084	27	27142	1577	40
32	199476	87	135400	2201	125
18	92499	25	21399	961	21
39	224330	131	130115	1900	167
14	135781	45	24874	1254	32
7	74408	29	34988	1335	36
17	81240	58	45549	1597	13
0	14688	4	6023	207	5
30	181633	47	64466	1645	96
37	271856	109	54990	2429	151
0	7199	7	1644	151	6
5	46660	12	6179	474	13
1	17547	0	3926	141	3
16	133368	37	32755	1639	57
32	95227	37	34777	872	23
24	152601	46	73224	1318	61
17	98146	15	27114	1018	21
11	79619	42	20760	1383	43
24	59194	7	37636	1314	20
22	139942	54	65461	1335	82
12	118612	54	30080	1403	90
19	72880	14	24094	910	25
13	65475	16	69008	616	60
17	99643	33	54968	1407	61
15	71965	32	46090	771	85
16	77272	21	27507	766	43
24	49289	15	10672	473	25
15	135131	38	34029	1376	41
17	108446	22	46300	1232	26
18	89746	28	24760	1521	38
20	44296	10	18779	572	12
16	77648	31	21280	1059	29
16	181528	32	40662	1544	49
18	134019	32	28987	1230	46
22	124064	43	22827	1206	41
8	92630	27	18513	1205	31
17	121848	37	30594	1255	41
18	52915	20	24006	613	26
16	81872	32	27913	721	23
23	58981	0	42744	1109	14
22	53515	5	12934	740	16
13	60812	26	22574	1126	25
13	56375	10	41385	728	21
16	65490	27	18653	689	32
16	80949	11	18472	592	9
20	76302	29	30976	995	35
22	104011	25	63339	1613	42
17	98104	55	25568	2048	68
18	67989	23	33747	705	32
17	30989	5	4154	301	6
12	135458	43	19474	1803	68
7	73504	23	35130	799	33
17	63123	34	39067	861	84
14	61254	36	13310	1186	46
23	74914	35	65892	1451	30
17	31774	0	4143	628	0
14	81437	37	28579	1161	36
15	87186	28	51776	1463	47
17	50090	16	21152	742	20
21	65745	26	38084	979	50
18	56653	38	27717	675	30
18	158399	23	32928	1241	30
17	46455	22	11342	676	34
17	73624	30	19499	1049	33
16	38395	16	16380	620	34
15	91899	18	36874	1081	37
21	139526	28	48259	1688	83
16	52164	32	16734	736	32
14	51567	21	28207	617	30
15	70551	23	30143	812	43
17	84856	29	41369	1051	41
15	102538	50	45833	1656	51
15	86678	12	29156	705	19
10	85709	21	35944	945	37
6	34662	18	36278	554	33
22	150580	27	45588	1597	41
21	99611	41	45097	982	54
1	19349	13	3895	222	14
18	99373	12	28394	1212	25
17	86230	21	18632	1143	25
4	30837	8	2325	435	8
10	31706	26	25139	532	26
16	89806	27	27975	882	20
16	62088	13	14483	608	11
9	40151	16	13127	459	14
16	27634	2	5839	578	3
17	76990	42	24069	826	40
7	37460	5	3738	509	5
15	54157	37	18625	717	38
14	49862	17	36341	637	32
14	84337	38	24548	857	41
18	64175	37	21792	830	46
12	59382	29	26263	652	47
16	119308	32	23686	707	37
21	76702	35	49303	954	51
19	103425	17	25659	1461	49
16	70344	20	28904	672	21
1	43410	7	2781	778	1
16	104838	46	29236	1141	44
10	62215	24	19546	680	26
19	69304	40	22818	1090	21
12	53117	3	32689	616	4
2	19764	10	5752	285	10
14	86680	37	22197	1145	43
17	84105	17	20055	733	34
19	77945	28	25272	888	32
14	89113	19	82206	849	20
11	91005	29	32073	1182	34
4	40248	8	5444	528	6
16	64187	10	20154	642	12
20	50857	15	36944	947	24
12	56613	15	8019	819	16
15	62792	28	30884	757	72
16	72535	17	19540	894	27

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'AstonUniversity' @ aston.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 & 9 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156382&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156382&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156382&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'AstonUniversity' @ aston.wessa.net






Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 9.48865753888676 + 4.76037615270838e-05time_in_rfc[t] + 0.101483826142328blogged_computations[t] + 7.96167294536333e-05totsize[t] -0.000956064022766325pageviews[t] -0.0188582759821tothyperlinks[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
compendiums_reviewed[t] =  +  9.48865753888676 +  4.76037615270838e-05time_in_rfc[t] +  0.101483826142328blogged_computations[t] +  7.96167294536333e-05totsize[t] -0.000956064022766325pageviews[t] -0.0188582759821tothyperlinks[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156382&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]compendiums_reviewed[t] =  +  9.48865753888676 +  4.76037615270838e-05time_in_rfc[t] +  0.101483826142328blogged_computations[t] +  7.96167294536333e-05totsize[t] -0.000956064022766325pageviews[t] -0.0188582759821tothyperlinks[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156382&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156382&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 9.48865753888676 + 4.76037615270838e-05time_in_rfc[t] + 0.101483826142328blogged_computations[t] + 7.96167294536333e-05totsize[t] -0.000956064022766325pageviews[t] -0.0188582759821tothyperlinks[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9.488657538886760.80367211.806600
time_in_rfc4.76037615270838e-051.2e-053.81560.0001678.3e-05
blogged_computations0.1014838261423280.0236124.2982.4e-051.2e-05
totsize7.96167294536333e-051.6e-055.0851e-060
pageviews-0.0009560640227663250.001124-0.8510.3955110.197755
tothyperlinks-0.01885827598210.017677-1.06680.286970.143485

\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) & 9.48865753888676 & 0.803672 & 11.8066 & 0 & 0 \tabularnewline
time_in_rfc & 4.76037615270838e-05 & 1.2e-05 & 3.8156 & 0.000167 & 8.3e-05 \tabularnewline
blogged_computations & 0.101483826142328 & 0.023612 & 4.298 & 2.4e-05 & 1.2e-05 \tabularnewline
totsize & 7.96167294536333e-05 & 1.6e-05 & 5.085 & 1e-06 & 0 \tabularnewline
pageviews & -0.000956064022766325 & 0.001124 & -0.851 & 0.395511 & 0.197755 \tabularnewline
tothyperlinks & -0.0188582759821 & 0.017677 & -1.0668 & 0.28697 & 0.143485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156382&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]9.48865753888676[/C][C]0.803672[/C][C]11.8066[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]4.76037615270838e-05[/C][C]1.2e-05[/C][C]3.8156[/C][C]0.000167[/C][C]8.3e-05[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.101483826142328[/C][C]0.023612[/C][C]4.298[/C][C]2.4e-05[/C][C]1.2e-05[/C][/ROW]
[ROW][C]totsize[/C][C]7.96167294536333e-05[/C][C]1.6e-05[/C][C]5.085[/C][C]1e-06[/C][C]0[/C][/ROW]
[ROW][C]pageviews[/C][C]-0.000956064022766325[/C][C]0.001124[/C][C]-0.851[/C][C]0.395511[/C][C]0.197755[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]-0.0188582759821[/C][C]0.017677[/C][C]-1.0668[/C][C]0.28697[/C][C]0.143485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156382&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156382&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9.488657538886760.80367211.806600
time_in_rfc4.76037615270838e-051.2e-053.81560.0001678.3e-05
blogged_computations0.1014838261423280.0236124.2982.4e-051.2e-05
totsize7.96167294536333e-051.6e-055.0851e-060
pageviews-0.0009560640227663250.001124-0.8510.3955110.197755
tothyperlinks-0.01885827598210.017677-1.06680.286970.143485






Multiple Linear Regression - Regression Statistics
Multiple R0.815066554954141
R-squared0.664333489004812
Adjusted R-squared0.658402985276982
F-TEST (value)112.019740563906
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.1925436999976
Sum Squared Residuals10852.3700858155

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.815066554954141 \tabularnewline
R-squared & 0.664333489004812 \tabularnewline
Adjusted R-squared & 0.658402985276982 \tabularnewline
F-TEST (value) & 112.019740563906 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 6.1925436999976 \tabularnewline
Sum Squared Residuals & 10852.3700858155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156382&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.815066554954141[/C][/ROW]
[ROW][C]R-squared[/C][C]0.664333489004812[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.658402985276982[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]112.019740563906[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/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]6.1925436999976[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]10852.3700858155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156382&T=3

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

Multiple Linear Regression - Regression Statistics
Multiple R0.815066554954141
R-squared0.664333489004812
Adjusted R-squared0.658402985276982
F-TEST (value)112.019740563906
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.1925436999976
Sum Squared Residuals10852.3700858155






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13032.4143202775195-2.41432027751951
22825.1110796937272.88892030627304
33827.287224248345110.7127757516549
43032.419482271626-2.41948227162596
52221.36784322272490.632156777275068
62616.27549957304339.72450042695668
72543.7208478142441-18.7208478142441
81812.53598575117475.46401424882533
91116.0539891023528-5.05398910235278
102627.1001757570064-1.10017575700642
112526.0711654670487-1.07116546704873
123829.82902250365138.17097749634869
134429.200140931557414.7998590684426
143022.44859944814117.55140055185894
154034.20964602821275.79035397178732
163425.73293909721978.2670609027803
174742.25714958839464.74285041160536
183037.0107472890122-7.01074728901219
193132.8808012553565-1.8808012553565
202328.5998402612079-5.59984026120787
213635.33036172222990.669638277770132
223633.68385302467412.31614697532595
233034.9959557463075-4.9959557463075
242524.56679708808060.433202911919373
253928.696256215747610.3037437842524
263431.06709022639522.93290977360479
273128.03839583123132.96160416876874
283130.80269627302840.197303726971599
293332.87763948811180.122360511888243
302520.42216562520594.57783437479405
313332.99702183241130.00297816758865135
323534.56719913674940.432800863250612
334224.009100552355817.9908994476442
344336.59162506555256.40837493444754
353021.00342055529938.99657944470075
363336.7992698784425-3.79926987844253
371318.0840923755588-5.08409237555876
383228.34128658842853.65871341157149
393635.4410173344120.558982665588029
4009.7657288293831-9.7657288293831
412824.85022097465963.14977902534036
421418.7774277313469-4.77742773134694
431717.5779019964568-0.57790199645679
443233.7084941722116-1.70849417221161
453034.05752859593-4.05752859593004
463524.318575283815210.6814247161848
472022.9237873317855-2.92378733178555
482826.41528696902151.5847130309785
492820.52578886962377.47421113037635
503921.417626203496717.5823737965033
513437.0652737436841-3.06527374368407
522616.62571970885649.37428029114364
533929.8958060835289.104193916472
543939.3353545503191-0.335354550319095
553327.16015181635835.83984818364168
562827.69211236073660.30788763926344
57411.3194717849248-7.31947178492482
583937.45178229723721.54821770276284
591816.19971162810341.80028837189664
601418.0996697528646-4.09966975286463
612929.6859735704956-0.685973570495598
624438.15255056001585.84744943998425
632137.580907535359-16.580907535359
641617.5008717357727-1.50087173577266
652832.6317866574824-4.63178665748239
663537.255343628349-2.25534362834899
672829.7043089689105-1.70430896891054
683842.0388398116755-4.03883981167549
692337.2993101403706-14.2993101403706
703624.069201502531711.9307984974683
713228.11337186887643.88662813112355
722927.4004761759121.59952382408798
732526.380145730468-1.38014573046798
742727.9820866696979-0.982086669697892
753627.71287728492638.28712271507367
762832.9429133861738-4.94291338617376
772330.6525191759117-7.6525191759117
784028.017388078491411.9826119215086
792315.68001087343687.31998912656322
804028.092157656051911.9078423439481
812827.65862341769610.341376582303943
823428.8634395804945.136560419506
833337.9426930422282-4.94269304222819
842833.3165185206278-5.31651852062777
853441.141074055908-7.14107405590794
863027.75170247441942.24829752558064
873325.08818228416197.91181771583806
882221.7647923599830.235207640017048
893841.2850652743742-3.28506527437424
902620.57810440690715.42189559309291
913531.27412029715163.72587970284839
92820.8786767991359-12.8786767991359
932416.95102327590247.04897672409759
942927.37318628268651.62681371731353
952019.84283587107620.157164128923821
962931.8967149763931-2.8967149763931
974530.917614851330314.0823851486697
983735.09078925272531.90921074727472
993326.21240569419156.78759430580846
1003333.9617660134479-0.961766013447919
1012521.00661534877783.99338465122217
1023230.20732739205621.79267260794384
1032931.6879139677667-2.68791396776673
1042830.5278254600186-2.52782546001859
1052833.2614026492585-5.26140264925852
1063141.5720201244933-10.5720201244933
1075237.14834606093714.851653939063
1082117.26152932334093.73847067665912
1092442.9383011672093-18.9383011672093
1104134.84867434808856.15132565191152
1113337.683069985009-4.68306998500897
1123221.042220043023510.9577799569765
1131914.85219715272814.14780284727186
1142024.6064424936826-4.60644249368255
1153127.72809499031233.27190500968766
1163133.3021550986535-2.30215509865345
1173238.8171565563092-6.81715655630918
1181825.4153471022835-7.41534710228349
1192330.5048925112684-7.5048925112684
1201718.5084647840511-1.50846478405105
1212022.0109188939418-2.0109188939418
1221214.5421491380857-2.54214913808566
1231718.6100952180651-1.61009521806507
1243031.6047658903732-1.60476589037319
1253132.0773182649105-1.07731826491051
1261016.5689598005424-6.56895980054244
1271319.1690673136969-6.16906731369686
1282222.5019583087388-0.501958308738823
1294238.33608178047973.66391821952034
130111.3101288058001-10.3101288058001
131911.7766612146679-2.77666121466785
1323229.28534051440842.71465948559156
1331115.6794070759422-4.67940707594221
1342518.70543066975876.29456933024128
1353622.655978369318413.3440216306816
1363137.6807965960342-6.6807965960342
137010.5194848615912-10.5194848615912
1382430.1447415345499-6.14474153454993
1391314.2693612932192-1.26936129321922
140812.769915217504-4.76991521750399
1411312.92266139132760.0773386086723592
1421923.9906589722844-4.99065897228437
1431814.59792591187453.40207408812551
1443332.60771647479310.392283525206938
1454030.47837595693869.52162404306143
1462216.65462185626575.34537814373429
1473824.380852900719613.6191470992804
1482421.68964120922622.31035879077382
149812.7852296870118-4.78522968701185
1503525.72672474111619.27327525888389
1514335.52383069419157.47616930580854
1524325.49223333771817.507766662282
1531419.8367817591387-5.83678175913869
1544141.0086598364983-0.00865983649831559
1553838.2835157481042-0.283515748104236
1564550.0732675351749-5.07326753517491
1573126.22083517727634.77916482272372
1581316.6481516429054-3.64815164290543
1592819.68614972836488.3138502716352
1603130.21595395599520.7840460440048
1614038.40460416549091.59539583450907
1623022.55507809130957.44492190869054
1631620.3940659827084-4.39406598270839
1643741.5738025923218-4.57380259232178
1653021.78057672461958.2194232753805
1663530.84828301106054.15171698893945
1673224.71344571061187.2865542893882
1682721.55357834432375.44642165567626
1692020.6551348427116-0.655134842711561
1701829.3065593295564-11.3065593295564
1713135.7252089120471-4.72520891204708
1723132.9425300884203-1.94253008842033
1732122.6147672022561-1.61476720225609
1743937.19271133020331.80728866979667
1754135.04105125421535.95894874578472
1761318.6057443960253-5.60574439602532
1773234.1320821037966-2.13208210379665
1781816.81797060201451.18202939798554
1793938.85546760749520.144532392504763
1801420.697133471654-6.697133471654
181716.8041759090966-9.80417590909661
1821721.0965196193605-4.0965196193605
183010.781131821642-10.781131821642
1843024.65426365425075.34573634574928
1853732.70000755016624.29999244983378
186010.415118381008-10.415118381008
187512.7212748021839-7.7212748021839
188110.4451561670811-9.44515616708112
1891619.5583128824571-3.55831288245707
1903219.27812532986112.721874670139
1912424.8407033348271-0.840703334827106
1921716.47246474146450.527535258535548
1931117.0608430186307-6.06084301863073
1942414.37992296587739.62007703412274
1952224.0196163720347-2.01961637203469
1961219.9714300724581-7.97143007245809
1971914.95560356415924.04439643584079
1981318.0030143123361-5.0030143123361
1991719.4618408810938-2.4618408810938
2001517.4914009142245-2.49140091422448
2011615.94502221700830.0549777829917359
2022413.283251287338310.7167487126617
2031520.3983311071967-5.39833110719672
2041718.9018077587046-1.90180775870463
2051816.40297420820621.5970257917938
2062013.3341066505166.665893349484
2071616.4658752235368-0.46587522353682
2081622.2147126766993-6.21471267669927
2091819.3803591850328-1.3803591850328
2102219.64958368961882.3504163103812
211816.37553808448-8.37553808447999
2121719.5067267977716-2.50672679777164
2131814.87218388871253.12781611128747
2141617.7328344004231-1.73283440042312
2152314.37522161628458.62477838371545
2162212.56413495391299.43586504608709
2171315.2714000260713-2.27140002607126
2181315.39005780064-2.39005780064003
2191615.56918909852380.430810901476231
2201615.19342235945920.806577640540766
2212016.91883515858363.08116484141642
2222219.68573319953192.31426680046812
2231718.5356460508301-1.5356460508301
2241816.46865348401951.53134651598048
2251711.40107260296635.59892739703366
2261218.8450823814922-6.84508238149217
227716.7325698715536-9.73256987155363
2281716.64712033006690.352879669933079
2291415.116322131441-1.11632213144097
2302319.89988800557013.10011199442992
2311710.73066336147756.26933663852252
2321417.6067448789021-3.60674487890211
2331518.3177613710978-3.31776137109777
2341714.09435920892432.90564079107572
2352116.41016936730444.58983063269564
2361817.03758422952520.962415770474802
2371820.2325696980221-2.23256969802209
2381713.54826673844033.45173326155966
2391715.96516400215181.03483599784815
2401613.01032613194042.98967386805961
2411516.8946303519513-1.89463035195133
2422119.63531787145891.36468212854111
2431615.2445209902340.75547900976605
2441415.1647103647316-1.1647103647316
2451515.9939357418619-0.993935741861918
2461717.9868051627304-0.986805162730355
2471520.5481028097275-5.54810280972753
2481516.1216352784792-1.12163527847925
2491016.96039569523-6.96039569523
250614.7017611265975-8.70176112659752
2512220.72643915818621.27356084181378
2522120.02462657497710.975373425022866
253111.562877544943-10.562877544943
2541816.06742296778681.93257703221322
2551715.64387106996181.35612893003822
256411.3868401804556-7.38684018045562
2571014.6391056076536-4.63910560765362
2581617.5106882711744-1.51068827117441
2591614.12793075546261.87206924453744
260913.3660169435767-4.36601694357666
2611610.86280978738545.13719021261461
2621717.7882469759652-0.788246975965244
263711.4959929436021-4.49599294360209
2641515.9023852136059-0.90238521360585
2651415.2683752917149-1.26837529171494
2661417.7216966600559-3.72169666005585
2671816.37252443633441.62747556366556
2681215.839776515654-3.839776515654
2691618.9277579341198-2.92775793411985
2702118.74338162996492.25661837003506
2711915.85932221991133.14067778008873
2721616.1297161917993-0.12971619179926
273111.72426164869-10.72426164869
2741619.5546382015279-3.55463820152792
2751015.3016872725952-5.30168727259518
2761917.22570262568651.77429737431348
2771214.2599007455052-2.25990074550523
278211.4412309646392-9.44123096463923
2791417.2315065257051-3.23150652570509
2801715.47233414365521.52766585634477
2811916.6003041662092.39969583379097
2821421.0150732230488-7.01507322304879
2831117.5461671202517-6.54616712025173
284412.0319663571998-8.03196635719982
2851614.32354159245631.67645840754368
2862015.01526863080954.98473136919049
2871213.259604385484-1.25960438548395
2881515.6966868011813-0.696686801181305
2891614.85863763132761.14136236867243

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 30 & 32.4143202775195 & -2.41432027751951 \tabularnewline
2 & 28 & 25.111079693727 & 2.88892030627304 \tabularnewline
3 & 38 & 27.2872242483451 & 10.7127757516549 \tabularnewline
4 & 30 & 32.419482271626 & -2.41948227162596 \tabularnewline
5 & 22 & 21.3678432227249 & 0.632156777275068 \tabularnewline
6 & 26 & 16.2754995730433 & 9.72450042695668 \tabularnewline
7 & 25 & 43.7208478142441 & -18.7208478142441 \tabularnewline
8 & 18 & 12.5359857511747 & 5.46401424882533 \tabularnewline
9 & 11 & 16.0539891023528 & -5.05398910235278 \tabularnewline
10 & 26 & 27.1001757570064 & -1.10017575700642 \tabularnewline
11 & 25 & 26.0711654670487 & -1.07116546704873 \tabularnewline
12 & 38 & 29.8290225036513 & 8.17097749634869 \tabularnewline
13 & 44 & 29.2001409315574 & 14.7998590684426 \tabularnewline
14 & 30 & 22.4485994481411 & 7.55140055185894 \tabularnewline
15 & 40 & 34.2096460282127 & 5.79035397178732 \tabularnewline
16 & 34 & 25.7329390972197 & 8.2670609027803 \tabularnewline
17 & 47 & 42.2571495883946 & 4.74285041160536 \tabularnewline
18 & 30 & 37.0107472890122 & -7.01074728901219 \tabularnewline
19 & 31 & 32.8808012553565 & -1.8808012553565 \tabularnewline
20 & 23 & 28.5998402612079 & -5.59984026120787 \tabularnewline
21 & 36 & 35.3303617222299 & 0.669638277770132 \tabularnewline
22 & 36 & 33.6838530246741 & 2.31614697532595 \tabularnewline
23 & 30 & 34.9959557463075 & -4.9959557463075 \tabularnewline
24 & 25 & 24.5667970880806 & 0.433202911919373 \tabularnewline
25 & 39 & 28.6962562157476 & 10.3037437842524 \tabularnewline
26 & 34 & 31.0670902263952 & 2.93290977360479 \tabularnewline
27 & 31 & 28.0383958312313 & 2.96160416876874 \tabularnewline
28 & 31 & 30.8026962730284 & 0.197303726971599 \tabularnewline
29 & 33 & 32.8776394881118 & 0.122360511888243 \tabularnewline
30 & 25 & 20.4221656252059 & 4.57783437479405 \tabularnewline
31 & 33 & 32.9970218324113 & 0.00297816758865135 \tabularnewline
32 & 35 & 34.5671991367494 & 0.432800863250612 \tabularnewline
33 & 42 & 24.0091005523558 & 17.9908994476442 \tabularnewline
34 & 43 & 36.5916250655525 & 6.40837493444754 \tabularnewline
35 & 30 & 21.0034205552993 & 8.99657944470075 \tabularnewline
36 & 33 & 36.7992698784425 & -3.79926987844253 \tabularnewline
37 & 13 & 18.0840923755588 & -5.08409237555876 \tabularnewline
38 & 32 & 28.3412865884285 & 3.65871341157149 \tabularnewline
39 & 36 & 35.441017334412 & 0.558982665588029 \tabularnewline
40 & 0 & 9.7657288293831 & -9.7657288293831 \tabularnewline
41 & 28 & 24.8502209746596 & 3.14977902534036 \tabularnewline
42 & 14 & 18.7774277313469 & -4.77742773134694 \tabularnewline
43 & 17 & 17.5779019964568 & -0.57790199645679 \tabularnewline
44 & 32 & 33.7084941722116 & -1.70849417221161 \tabularnewline
45 & 30 & 34.05752859593 & -4.05752859593004 \tabularnewline
46 & 35 & 24.3185752838152 & 10.6814247161848 \tabularnewline
47 & 20 & 22.9237873317855 & -2.92378733178555 \tabularnewline
48 & 28 & 26.4152869690215 & 1.5847130309785 \tabularnewline
49 & 28 & 20.5257888696237 & 7.47421113037635 \tabularnewline
50 & 39 & 21.4176262034967 & 17.5823737965033 \tabularnewline
51 & 34 & 37.0652737436841 & -3.06527374368407 \tabularnewline
52 & 26 & 16.6257197088564 & 9.37428029114364 \tabularnewline
53 & 39 & 29.895806083528 & 9.104193916472 \tabularnewline
54 & 39 & 39.3353545503191 & -0.335354550319095 \tabularnewline
55 & 33 & 27.1601518163583 & 5.83984818364168 \tabularnewline
56 & 28 & 27.6921123607366 & 0.30788763926344 \tabularnewline
57 & 4 & 11.3194717849248 & -7.31947178492482 \tabularnewline
58 & 39 & 37.4517822972372 & 1.54821770276284 \tabularnewline
59 & 18 & 16.1997116281034 & 1.80028837189664 \tabularnewline
60 & 14 & 18.0996697528646 & -4.09966975286463 \tabularnewline
61 & 29 & 29.6859735704956 & -0.685973570495598 \tabularnewline
62 & 44 & 38.1525505600158 & 5.84744943998425 \tabularnewline
63 & 21 & 37.580907535359 & -16.580907535359 \tabularnewline
64 & 16 & 17.5008717357727 & -1.50087173577266 \tabularnewline
65 & 28 & 32.6317866574824 & -4.63178665748239 \tabularnewline
66 & 35 & 37.255343628349 & -2.25534362834899 \tabularnewline
67 & 28 & 29.7043089689105 & -1.70430896891054 \tabularnewline
68 & 38 & 42.0388398116755 & -4.03883981167549 \tabularnewline
69 & 23 & 37.2993101403706 & -14.2993101403706 \tabularnewline
70 & 36 & 24.0692015025317 & 11.9307984974683 \tabularnewline
71 & 32 & 28.1133718688764 & 3.88662813112355 \tabularnewline
72 & 29 & 27.400476175912 & 1.59952382408798 \tabularnewline
73 & 25 & 26.380145730468 & -1.38014573046798 \tabularnewline
74 & 27 & 27.9820866696979 & -0.982086669697892 \tabularnewline
75 & 36 & 27.7128772849263 & 8.28712271507367 \tabularnewline
76 & 28 & 32.9429133861738 & -4.94291338617376 \tabularnewline
77 & 23 & 30.6525191759117 & -7.6525191759117 \tabularnewline
78 & 40 & 28.0173880784914 & 11.9826119215086 \tabularnewline
79 & 23 & 15.6800108734368 & 7.31998912656322 \tabularnewline
80 & 40 & 28.0921576560519 & 11.9078423439481 \tabularnewline
81 & 28 & 27.6586234176961 & 0.341376582303943 \tabularnewline
82 & 34 & 28.863439580494 & 5.136560419506 \tabularnewline
83 & 33 & 37.9426930422282 & -4.94269304222819 \tabularnewline
84 & 28 & 33.3165185206278 & -5.31651852062777 \tabularnewline
85 & 34 & 41.141074055908 & -7.14107405590794 \tabularnewline
86 & 30 & 27.7517024744194 & 2.24829752558064 \tabularnewline
87 & 33 & 25.0881822841619 & 7.91181771583806 \tabularnewline
88 & 22 & 21.764792359983 & 0.235207640017048 \tabularnewline
89 & 38 & 41.2850652743742 & -3.28506527437424 \tabularnewline
90 & 26 & 20.5781044069071 & 5.42189559309291 \tabularnewline
91 & 35 & 31.2741202971516 & 3.72587970284839 \tabularnewline
92 & 8 & 20.8786767991359 & -12.8786767991359 \tabularnewline
93 & 24 & 16.9510232759024 & 7.04897672409759 \tabularnewline
94 & 29 & 27.3731862826865 & 1.62681371731353 \tabularnewline
95 & 20 & 19.8428358710762 & 0.157164128923821 \tabularnewline
96 & 29 & 31.8967149763931 & -2.8967149763931 \tabularnewline
97 & 45 & 30.9176148513303 & 14.0823851486697 \tabularnewline
98 & 37 & 35.0907892527253 & 1.90921074727472 \tabularnewline
99 & 33 & 26.2124056941915 & 6.78759430580846 \tabularnewline
100 & 33 & 33.9617660134479 & -0.961766013447919 \tabularnewline
101 & 25 & 21.0066153487778 & 3.99338465122217 \tabularnewline
102 & 32 & 30.2073273920562 & 1.79267260794384 \tabularnewline
103 & 29 & 31.6879139677667 & -2.68791396776673 \tabularnewline
104 & 28 & 30.5278254600186 & -2.52782546001859 \tabularnewline
105 & 28 & 33.2614026492585 & -5.26140264925852 \tabularnewline
106 & 31 & 41.5720201244933 & -10.5720201244933 \tabularnewline
107 & 52 & 37.148346060937 & 14.851653939063 \tabularnewline
108 & 21 & 17.2615293233409 & 3.73847067665912 \tabularnewline
109 & 24 & 42.9383011672093 & -18.9383011672093 \tabularnewline
110 & 41 & 34.8486743480885 & 6.15132565191152 \tabularnewline
111 & 33 & 37.683069985009 & -4.68306998500897 \tabularnewline
112 & 32 & 21.0422200430235 & 10.9577799569765 \tabularnewline
113 & 19 & 14.8521971527281 & 4.14780284727186 \tabularnewline
114 & 20 & 24.6064424936826 & -4.60644249368255 \tabularnewline
115 & 31 & 27.7280949903123 & 3.27190500968766 \tabularnewline
116 & 31 & 33.3021550986535 & -2.30215509865345 \tabularnewline
117 & 32 & 38.8171565563092 & -6.81715655630918 \tabularnewline
118 & 18 & 25.4153471022835 & -7.41534710228349 \tabularnewline
119 & 23 & 30.5048925112684 & -7.5048925112684 \tabularnewline
120 & 17 & 18.5084647840511 & -1.50846478405105 \tabularnewline
121 & 20 & 22.0109188939418 & -2.0109188939418 \tabularnewline
122 & 12 & 14.5421491380857 & -2.54214913808566 \tabularnewline
123 & 17 & 18.6100952180651 & -1.61009521806507 \tabularnewline
124 & 30 & 31.6047658903732 & -1.60476589037319 \tabularnewline
125 & 31 & 32.0773182649105 & -1.07731826491051 \tabularnewline
126 & 10 & 16.5689598005424 & -6.56895980054244 \tabularnewline
127 & 13 & 19.1690673136969 & -6.16906731369686 \tabularnewline
128 & 22 & 22.5019583087388 & -0.501958308738823 \tabularnewline
129 & 42 & 38.3360817804797 & 3.66391821952034 \tabularnewline
130 & 1 & 11.3101288058001 & -10.3101288058001 \tabularnewline
131 & 9 & 11.7766612146679 & -2.77666121466785 \tabularnewline
132 & 32 & 29.2853405144084 & 2.71465948559156 \tabularnewline
133 & 11 & 15.6794070759422 & -4.67940707594221 \tabularnewline
134 & 25 & 18.7054306697587 & 6.29456933024128 \tabularnewline
135 & 36 & 22.6559783693184 & 13.3440216306816 \tabularnewline
136 & 31 & 37.6807965960342 & -6.6807965960342 \tabularnewline
137 & 0 & 10.5194848615912 & -10.5194848615912 \tabularnewline
138 & 24 & 30.1447415345499 & -6.14474153454993 \tabularnewline
139 & 13 & 14.2693612932192 & -1.26936129321922 \tabularnewline
140 & 8 & 12.769915217504 & -4.76991521750399 \tabularnewline
141 & 13 & 12.9226613913276 & 0.0773386086723592 \tabularnewline
142 & 19 & 23.9906589722844 & -4.99065897228437 \tabularnewline
143 & 18 & 14.5979259118745 & 3.40207408812551 \tabularnewline
144 & 33 & 32.6077164747931 & 0.392283525206938 \tabularnewline
145 & 40 & 30.4783759569386 & 9.52162404306143 \tabularnewline
146 & 22 & 16.6546218562657 & 5.34537814373429 \tabularnewline
147 & 38 & 24.3808529007196 & 13.6191470992804 \tabularnewline
148 & 24 & 21.6896412092262 & 2.31035879077382 \tabularnewline
149 & 8 & 12.7852296870118 & -4.78522968701185 \tabularnewline
150 & 35 & 25.7267247411161 & 9.27327525888389 \tabularnewline
151 & 43 & 35.5238306941915 & 7.47616930580854 \tabularnewline
152 & 43 & 25.492233337718 & 17.507766662282 \tabularnewline
153 & 14 & 19.8367817591387 & -5.83678175913869 \tabularnewline
154 & 41 & 41.0086598364983 & -0.00865983649831559 \tabularnewline
155 & 38 & 38.2835157481042 & -0.283515748104236 \tabularnewline
156 & 45 & 50.0732675351749 & -5.07326753517491 \tabularnewline
157 & 31 & 26.2208351772763 & 4.77916482272372 \tabularnewline
158 & 13 & 16.6481516429054 & -3.64815164290543 \tabularnewline
159 & 28 & 19.6861497283648 & 8.3138502716352 \tabularnewline
160 & 31 & 30.2159539559952 & 0.7840460440048 \tabularnewline
161 & 40 & 38.4046041654909 & 1.59539583450907 \tabularnewline
162 & 30 & 22.5550780913095 & 7.44492190869054 \tabularnewline
163 & 16 & 20.3940659827084 & -4.39406598270839 \tabularnewline
164 & 37 & 41.5738025923218 & -4.57380259232178 \tabularnewline
165 & 30 & 21.7805767246195 & 8.2194232753805 \tabularnewline
166 & 35 & 30.8482830110605 & 4.15171698893945 \tabularnewline
167 & 32 & 24.7134457106118 & 7.2865542893882 \tabularnewline
168 & 27 & 21.5535783443237 & 5.44642165567626 \tabularnewline
169 & 20 & 20.6551348427116 & -0.655134842711561 \tabularnewline
170 & 18 & 29.3065593295564 & -11.3065593295564 \tabularnewline
171 & 31 & 35.7252089120471 & -4.72520891204708 \tabularnewline
172 & 31 & 32.9425300884203 & -1.94253008842033 \tabularnewline
173 & 21 & 22.6147672022561 & -1.61476720225609 \tabularnewline
174 & 39 & 37.1927113302033 & 1.80728866979667 \tabularnewline
175 & 41 & 35.0410512542153 & 5.95894874578472 \tabularnewline
176 & 13 & 18.6057443960253 & -5.60574439602532 \tabularnewline
177 & 32 & 34.1320821037966 & -2.13208210379665 \tabularnewline
178 & 18 & 16.8179706020145 & 1.18202939798554 \tabularnewline
179 & 39 & 38.8554676074952 & 0.144532392504763 \tabularnewline
180 & 14 & 20.697133471654 & -6.697133471654 \tabularnewline
181 & 7 & 16.8041759090966 & -9.80417590909661 \tabularnewline
182 & 17 & 21.0965196193605 & -4.0965196193605 \tabularnewline
183 & 0 & 10.781131821642 & -10.781131821642 \tabularnewline
184 & 30 & 24.6542636542507 & 5.34573634574928 \tabularnewline
185 & 37 & 32.7000075501662 & 4.29999244983378 \tabularnewline
186 & 0 & 10.415118381008 & -10.415118381008 \tabularnewline
187 & 5 & 12.7212748021839 & -7.7212748021839 \tabularnewline
188 & 1 & 10.4451561670811 & -9.44515616708112 \tabularnewline
189 & 16 & 19.5583128824571 & -3.55831288245707 \tabularnewline
190 & 32 & 19.278125329861 & 12.721874670139 \tabularnewline
191 & 24 & 24.8407033348271 & -0.840703334827106 \tabularnewline
192 & 17 & 16.4724647414645 & 0.527535258535548 \tabularnewline
193 & 11 & 17.0608430186307 & -6.06084301863073 \tabularnewline
194 & 24 & 14.3799229658773 & 9.62007703412274 \tabularnewline
195 & 22 & 24.0196163720347 & -2.01961637203469 \tabularnewline
196 & 12 & 19.9714300724581 & -7.97143007245809 \tabularnewline
197 & 19 & 14.9556035641592 & 4.04439643584079 \tabularnewline
198 & 13 & 18.0030143123361 & -5.0030143123361 \tabularnewline
199 & 17 & 19.4618408810938 & -2.4618408810938 \tabularnewline
200 & 15 & 17.4914009142245 & -2.49140091422448 \tabularnewline
201 & 16 & 15.9450222170083 & 0.0549777829917359 \tabularnewline
202 & 24 & 13.2832512873383 & 10.7167487126617 \tabularnewline
203 & 15 & 20.3983311071967 & -5.39833110719672 \tabularnewline
204 & 17 & 18.9018077587046 & -1.90180775870463 \tabularnewline
205 & 18 & 16.4029742082062 & 1.5970257917938 \tabularnewline
206 & 20 & 13.334106650516 & 6.665893349484 \tabularnewline
207 & 16 & 16.4658752235368 & -0.46587522353682 \tabularnewline
208 & 16 & 22.2147126766993 & -6.21471267669927 \tabularnewline
209 & 18 & 19.3803591850328 & -1.3803591850328 \tabularnewline
210 & 22 & 19.6495836896188 & 2.3504163103812 \tabularnewline
211 & 8 & 16.37553808448 & -8.37553808447999 \tabularnewline
212 & 17 & 19.5067267977716 & -2.50672679777164 \tabularnewline
213 & 18 & 14.8721838887125 & 3.12781611128747 \tabularnewline
214 & 16 & 17.7328344004231 & -1.73283440042312 \tabularnewline
215 & 23 & 14.3752216162845 & 8.62477838371545 \tabularnewline
216 & 22 & 12.5641349539129 & 9.43586504608709 \tabularnewline
217 & 13 & 15.2714000260713 & -2.27140002607126 \tabularnewline
218 & 13 & 15.39005780064 & -2.39005780064003 \tabularnewline
219 & 16 & 15.5691890985238 & 0.430810901476231 \tabularnewline
220 & 16 & 15.1934223594592 & 0.806577640540766 \tabularnewline
221 & 20 & 16.9188351585836 & 3.08116484141642 \tabularnewline
222 & 22 & 19.6857331995319 & 2.31426680046812 \tabularnewline
223 & 17 & 18.5356460508301 & -1.5356460508301 \tabularnewline
224 & 18 & 16.4686534840195 & 1.53134651598048 \tabularnewline
225 & 17 & 11.4010726029663 & 5.59892739703366 \tabularnewline
226 & 12 & 18.8450823814922 & -6.84508238149217 \tabularnewline
227 & 7 & 16.7325698715536 & -9.73256987155363 \tabularnewline
228 & 17 & 16.6471203300669 & 0.352879669933079 \tabularnewline
229 & 14 & 15.116322131441 & -1.11632213144097 \tabularnewline
230 & 23 & 19.8998880055701 & 3.10011199442992 \tabularnewline
231 & 17 & 10.7306633614775 & 6.26933663852252 \tabularnewline
232 & 14 & 17.6067448789021 & -3.60674487890211 \tabularnewline
233 & 15 & 18.3177613710978 & -3.31776137109777 \tabularnewline
234 & 17 & 14.0943592089243 & 2.90564079107572 \tabularnewline
235 & 21 & 16.4101693673044 & 4.58983063269564 \tabularnewline
236 & 18 & 17.0375842295252 & 0.962415770474802 \tabularnewline
237 & 18 & 20.2325696980221 & -2.23256969802209 \tabularnewline
238 & 17 & 13.5482667384403 & 3.45173326155966 \tabularnewline
239 & 17 & 15.9651640021518 & 1.03483599784815 \tabularnewline
240 & 16 & 13.0103261319404 & 2.98967386805961 \tabularnewline
241 & 15 & 16.8946303519513 & -1.89463035195133 \tabularnewline
242 & 21 & 19.6353178714589 & 1.36468212854111 \tabularnewline
243 & 16 & 15.244520990234 & 0.75547900976605 \tabularnewline
244 & 14 & 15.1647103647316 & -1.1647103647316 \tabularnewline
245 & 15 & 15.9939357418619 & -0.993935741861918 \tabularnewline
246 & 17 & 17.9868051627304 & -0.986805162730355 \tabularnewline
247 & 15 & 20.5481028097275 & -5.54810280972753 \tabularnewline
248 & 15 & 16.1216352784792 & -1.12163527847925 \tabularnewline
249 & 10 & 16.96039569523 & -6.96039569523 \tabularnewline
250 & 6 & 14.7017611265975 & -8.70176112659752 \tabularnewline
251 & 22 & 20.7264391581862 & 1.27356084181378 \tabularnewline
252 & 21 & 20.0246265749771 & 0.975373425022866 \tabularnewline
253 & 1 & 11.562877544943 & -10.562877544943 \tabularnewline
254 & 18 & 16.0674229677868 & 1.93257703221322 \tabularnewline
255 & 17 & 15.6438710699618 & 1.35612893003822 \tabularnewline
256 & 4 & 11.3868401804556 & -7.38684018045562 \tabularnewline
257 & 10 & 14.6391056076536 & -4.63910560765362 \tabularnewline
258 & 16 & 17.5106882711744 & -1.51068827117441 \tabularnewline
259 & 16 & 14.1279307554626 & 1.87206924453744 \tabularnewline
260 & 9 & 13.3660169435767 & -4.36601694357666 \tabularnewline
261 & 16 & 10.8628097873854 & 5.13719021261461 \tabularnewline
262 & 17 & 17.7882469759652 & -0.788246975965244 \tabularnewline
263 & 7 & 11.4959929436021 & -4.49599294360209 \tabularnewline
264 & 15 & 15.9023852136059 & -0.90238521360585 \tabularnewline
265 & 14 & 15.2683752917149 & -1.26837529171494 \tabularnewline
266 & 14 & 17.7216966600559 & -3.72169666005585 \tabularnewline
267 & 18 & 16.3725244363344 & 1.62747556366556 \tabularnewline
268 & 12 & 15.839776515654 & -3.839776515654 \tabularnewline
269 & 16 & 18.9277579341198 & -2.92775793411985 \tabularnewline
270 & 21 & 18.7433816299649 & 2.25661837003506 \tabularnewline
271 & 19 & 15.8593222199113 & 3.14067778008873 \tabularnewline
272 & 16 & 16.1297161917993 & -0.12971619179926 \tabularnewline
273 & 1 & 11.72426164869 & -10.72426164869 \tabularnewline
274 & 16 & 19.5546382015279 & -3.55463820152792 \tabularnewline
275 & 10 & 15.3016872725952 & -5.30168727259518 \tabularnewline
276 & 19 & 17.2257026256865 & 1.77429737431348 \tabularnewline
277 & 12 & 14.2599007455052 & -2.25990074550523 \tabularnewline
278 & 2 & 11.4412309646392 & -9.44123096463923 \tabularnewline
279 & 14 & 17.2315065257051 & -3.23150652570509 \tabularnewline
280 & 17 & 15.4723341436552 & 1.52766585634477 \tabularnewline
281 & 19 & 16.600304166209 & 2.39969583379097 \tabularnewline
282 & 14 & 21.0150732230488 & -7.01507322304879 \tabularnewline
283 & 11 & 17.5461671202517 & -6.54616712025173 \tabularnewline
284 & 4 & 12.0319663571998 & -8.03196635719982 \tabularnewline
285 & 16 & 14.3235415924563 & 1.67645840754368 \tabularnewline
286 & 20 & 15.0152686308095 & 4.98473136919049 \tabularnewline
287 & 12 & 13.259604385484 & -1.25960438548395 \tabularnewline
288 & 15 & 15.6966868011813 & -0.696686801181305 \tabularnewline
289 & 16 & 14.8586376313276 & 1.14136236867243 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156382&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]32.4143202775195[/C][C]-2.41432027751951[/C][/ROW]
[ROW][C]2[/C][C]28[/C][C]25.111079693727[/C][C]2.88892030627304[/C][/ROW]
[ROW][C]3[/C][C]38[/C][C]27.2872242483451[/C][C]10.7127757516549[/C][/ROW]
[ROW][C]4[/C][C]30[/C][C]32.419482271626[/C][C]-2.41948227162596[/C][/ROW]
[ROW][C]5[/C][C]22[/C][C]21.3678432227249[/C][C]0.632156777275068[/C][/ROW]
[ROW][C]6[/C][C]26[/C][C]16.2754995730433[/C][C]9.72450042695668[/C][/ROW]
[ROW][C]7[/C][C]25[/C][C]43.7208478142441[/C][C]-18.7208478142441[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]12.5359857511747[/C][C]5.46401424882533[/C][/ROW]
[ROW][C]9[/C][C]11[/C][C]16.0539891023528[/C][C]-5.05398910235278[/C][/ROW]
[ROW][C]10[/C][C]26[/C][C]27.1001757570064[/C][C]-1.10017575700642[/C][/ROW]
[ROW][C]11[/C][C]25[/C][C]26.0711654670487[/C][C]-1.07116546704873[/C][/ROW]
[ROW][C]12[/C][C]38[/C][C]29.8290225036513[/C][C]8.17097749634869[/C][/ROW]
[ROW][C]13[/C][C]44[/C][C]29.2001409315574[/C][C]14.7998590684426[/C][/ROW]
[ROW][C]14[/C][C]30[/C][C]22.4485994481411[/C][C]7.55140055185894[/C][/ROW]
[ROW][C]15[/C][C]40[/C][C]34.2096460282127[/C][C]5.79035397178732[/C][/ROW]
[ROW][C]16[/C][C]34[/C][C]25.7329390972197[/C][C]8.2670609027803[/C][/ROW]
[ROW][C]17[/C][C]47[/C][C]42.2571495883946[/C][C]4.74285041160536[/C][/ROW]
[ROW][C]18[/C][C]30[/C][C]37.0107472890122[/C][C]-7.01074728901219[/C][/ROW]
[ROW][C]19[/C][C]31[/C][C]32.8808012553565[/C][C]-1.8808012553565[/C][/ROW]
[ROW][C]20[/C][C]23[/C][C]28.5998402612079[/C][C]-5.59984026120787[/C][/ROW]
[ROW][C]21[/C][C]36[/C][C]35.3303617222299[/C][C]0.669638277770132[/C][/ROW]
[ROW][C]22[/C][C]36[/C][C]33.6838530246741[/C][C]2.31614697532595[/C][/ROW]
[ROW][C]23[/C][C]30[/C][C]34.9959557463075[/C][C]-4.9959557463075[/C][/ROW]
[ROW][C]24[/C][C]25[/C][C]24.5667970880806[/C][C]0.433202911919373[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]28.6962562157476[/C][C]10.3037437842524[/C][/ROW]
[ROW][C]26[/C][C]34[/C][C]31.0670902263952[/C][C]2.93290977360479[/C][/ROW]
[ROW][C]27[/C][C]31[/C][C]28.0383958312313[/C][C]2.96160416876874[/C][/ROW]
[ROW][C]28[/C][C]31[/C][C]30.8026962730284[/C][C]0.197303726971599[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]32.8776394881118[/C][C]0.122360511888243[/C][/ROW]
[ROW][C]30[/C][C]25[/C][C]20.4221656252059[/C][C]4.57783437479405[/C][/ROW]
[ROW][C]31[/C][C]33[/C][C]32.9970218324113[/C][C]0.00297816758865135[/C][/ROW]
[ROW][C]32[/C][C]35[/C][C]34.5671991367494[/C][C]0.432800863250612[/C][/ROW]
[ROW][C]33[/C][C]42[/C][C]24.0091005523558[/C][C]17.9908994476442[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]36.5916250655525[/C][C]6.40837493444754[/C][/ROW]
[ROW][C]35[/C][C]30[/C][C]21.0034205552993[/C][C]8.99657944470075[/C][/ROW]
[ROW][C]36[/C][C]33[/C][C]36.7992698784425[/C][C]-3.79926987844253[/C][/ROW]
[ROW][C]37[/C][C]13[/C][C]18.0840923755588[/C][C]-5.08409237555876[/C][/ROW]
[ROW][C]38[/C][C]32[/C][C]28.3412865884285[/C][C]3.65871341157149[/C][/ROW]
[ROW][C]39[/C][C]36[/C][C]35.441017334412[/C][C]0.558982665588029[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]9.7657288293831[/C][C]-9.7657288293831[/C][/ROW]
[ROW][C]41[/C][C]28[/C][C]24.8502209746596[/C][C]3.14977902534036[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]18.7774277313469[/C][C]-4.77742773134694[/C][/ROW]
[ROW][C]43[/C][C]17[/C][C]17.5779019964568[/C][C]-0.57790199645679[/C][/ROW]
[ROW][C]44[/C][C]32[/C][C]33.7084941722116[/C][C]-1.70849417221161[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]34.05752859593[/C][C]-4.05752859593004[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]24.3185752838152[/C][C]10.6814247161848[/C][/ROW]
[ROW][C]47[/C][C]20[/C][C]22.9237873317855[/C][C]-2.92378733178555[/C][/ROW]
[ROW][C]48[/C][C]28[/C][C]26.4152869690215[/C][C]1.5847130309785[/C][/ROW]
[ROW][C]49[/C][C]28[/C][C]20.5257888696237[/C][C]7.47421113037635[/C][/ROW]
[ROW][C]50[/C][C]39[/C][C]21.4176262034967[/C][C]17.5823737965033[/C][/ROW]
[ROW][C]51[/C][C]34[/C][C]37.0652737436841[/C][C]-3.06527374368407[/C][/ROW]
[ROW][C]52[/C][C]26[/C][C]16.6257197088564[/C][C]9.37428029114364[/C][/ROW]
[ROW][C]53[/C][C]39[/C][C]29.895806083528[/C][C]9.104193916472[/C][/ROW]
[ROW][C]54[/C][C]39[/C][C]39.3353545503191[/C][C]-0.335354550319095[/C][/ROW]
[ROW][C]55[/C][C]33[/C][C]27.1601518163583[/C][C]5.83984818364168[/C][/ROW]
[ROW][C]56[/C][C]28[/C][C]27.6921123607366[/C][C]0.30788763926344[/C][/ROW]
[ROW][C]57[/C][C]4[/C][C]11.3194717849248[/C][C]-7.31947178492482[/C][/ROW]
[ROW][C]58[/C][C]39[/C][C]37.4517822972372[/C][C]1.54821770276284[/C][/ROW]
[ROW][C]59[/C][C]18[/C][C]16.1997116281034[/C][C]1.80028837189664[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]18.0996697528646[/C][C]-4.09966975286463[/C][/ROW]
[ROW][C]61[/C][C]29[/C][C]29.6859735704956[/C][C]-0.685973570495598[/C][/ROW]
[ROW][C]62[/C][C]44[/C][C]38.1525505600158[/C][C]5.84744943998425[/C][/ROW]
[ROW][C]63[/C][C]21[/C][C]37.580907535359[/C][C]-16.580907535359[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]17.5008717357727[/C][C]-1.50087173577266[/C][/ROW]
[ROW][C]65[/C][C]28[/C][C]32.6317866574824[/C][C]-4.63178665748239[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]37.255343628349[/C][C]-2.25534362834899[/C][/ROW]
[ROW][C]67[/C][C]28[/C][C]29.7043089689105[/C][C]-1.70430896891054[/C][/ROW]
[ROW][C]68[/C][C]38[/C][C]42.0388398116755[/C][C]-4.03883981167549[/C][/ROW]
[ROW][C]69[/C][C]23[/C][C]37.2993101403706[/C][C]-14.2993101403706[/C][/ROW]
[ROW][C]70[/C][C]36[/C][C]24.0692015025317[/C][C]11.9307984974683[/C][/ROW]
[ROW][C]71[/C][C]32[/C][C]28.1133718688764[/C][C]3.88662813112355[/C][/ROW]
[ROW][C]72[/C][C]29[/C][C]27.400476175912[/C][C]1.59952382408798[/C][/ROW]
[ROW][C]73[/C][C]25[/C][C]26.380145730468[/C][C]-1.38014573046798[/C][/ROW]
[ROW][C]74[/C][C]27[/C][C]27.9820866696979[/C][C]-0.982086669697892[/C][/ROW]
[ROW][C]75[/C][C]36[/C][C]27.7128772849263[/C][C]8.28712271507367[/C][/ROW]
[ROW][C]76[/C][C]28[/C][C]32.9429133861738[/C][C]-4.94291338617376[/C][/ROW]
[ROW][C]77[/C][C]23[/C][C]30.6525191759117[/C][C]-7.6525191759117[/C][/ROW]
[ROW][C]78[/C][C]40[/C][C]28.0173880784914[/C][C]11.9826119215086[/C][/ROW]
[ROW][C]79[/C][C]23[/C][C]15.6800108734368[/C][C]7.31998912656322[/C][/ROW]
[ROW][C]80[/C][C]40[/C][C]28.0921576560519[/C][C]11.9078423439481[/C][/ROW]
[ROW][C]81[/C][C]28[/C][C]27.6586234176961[/C][C]0.341376582303943[/C][/ROW]
[ROW][C]82[/C][C]34[/C][C]28.863439580494[/C][C]5.136560419506[/C][/ROW]
[ROW][C]83[/C][C]33[/C][C]37.9426930422282[/C][C]-4.94269304222819[/C][/ROW]
[ROW][C]84[/C][C]28[/C][C]33.3165185206278[/C][C]-5.31651852062777[/C][/ROW]
[ROW][C]85[/C][C]34[/C][C]41.141074055908[/C][C]-7.14107405590794[/C][/ROW]
[ROW][C]86[/C][C]30[/C][C]27.7517024744194[/C][C]2.24829752558064[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]25.0881822841619[/C][C]7.91181771583806[/C][/ROW]
[ROW][C]88[/C][C]22[/C][C]21.764792359983[/C][C]0.235207640017048[/C][/ROW]
[ROW][C]89[/C][C]38[/C][C]41.2850652743742[/C][C]-3.28506527437424[/C][/ROW]
[ROW][C]90[/C][C]26[/C][C]20.5781044069071[/C][C]5.42189559309291[/C][/ROW]
[ROW][C]91[/C][C]35[/C][C]31.2741202971516[/C][C]3.72587970284839[/C][/ROW]
[ROW][C]92[/C][C]8[/C][C]20.8786767991359[/C][C]-12.8786767991359[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]16.9510232759024[/C][C]7.04897672409759[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]27.3731862826865[/C][C]1.62681371731353[/C][/ROW]
[ROW][C]95[/C][C]20[/C][C]19.8428358710762[/C][C]0.157164128923821[/C][/ROW]
[ROW][C]96[/C][C]29[/C][C]31.8967149763931[/C][C]-2.8967149763931[/C][/ROW]
[ROW][C]97[/C][C]45[/C][C]30.9176148513303[/C][C]14.0823851486697[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]35.0907892527253[/C][C]1.90921074727472[/C][/ROW]
[ROW][C]99[/C][C]33[/C][C]26.2124056941915[/C][C]6.78759430580846[/C][/ROW]
[ROW][C]100[/C][C]33[/C][C]33.9617660134479[/C][C]-0.961766013447919[/C][/ROW]
[ROW][C]101[/C][C]25[/C][C]21.0066153487778[/C][C]3.99338465122217[/C][/ROW]
[ROW][C]102[/C][C]32[/C][C]30.2073273920562[/C][C]1.79267260794384[/C][/ROW]
[ROW][C]103[/C][C]29[/C][C]31.6879139677667[/C][C]-2.68791396776673[/C][/ROW]
[ROW][C]104[/C][C]28[/C][C]30.5278254600186[/C][C]-2.52782546001859[/C][/ROW]
[ROW][C]105[/C][C]28[/C][C]33.2614026492585[/C][C]-5.26140264925852[/C][/ROW]
[ROW][C]106[/C][C]31[/C][C]41.5720201244933[/C][C]-10.5720201244933[/C][/ROW]
[ROW][C]107[/C][C]52[/C][C]37.148346060937[/C][C]14.851653939063[/C][/ROW]
[ROW][C]108[/C][C]21[/C][C]17.2615293233409[/C][C]3.73847067665912[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]42.9383011672093[/C][C]-18.9383011672093[/C][/ROW]
[ROW][C]110[/C][C]41[/C][C]34.8486743480885[/C][C]6.15132565191152[/C][/ROW]
[ROW][C]111[/C][C]33[/C][C]37.683069985009[/C][C]-4.68306998500897[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]21.0422200430235[/C][C]10.9577799569765[/C][/ROW]
[ROW][C]113[/C][C]19[/C][C]14.8521971527281[/C][C]4.14780284727186[/C][/ROW]
[ROW][C]114[/C][C]20[/C][C]24.6064424936826[/C][C]-4.60644249368255[/C][/ROW]
[ROW][C]115[/C][C]31[/C][C]27.7280949903123[/C][C]3.27190500968766[/C][/ROW]
[ROW][C]116[/C][C]31[/C][C]33.3021550986535[/C][C]-2.30215509865345[/C][/ROW]
[ROW][C]117[/C][C]32[/C][C]38.8171565563092[/C][C]-6.81715655630918[/C][/ROW]
[ROW][C]118[/C][C]18[/C][C]25.4153471022835[/C][C]-7.41534710228349[/C][/ROW]
[ROW][C]119[/C][C]23[/C][C]30.5048925112684[/C][C]-7.5048925112684[/C][/ROW]
[ROW][C]120[/C][C]17[/C][C]18.5084647840511[/C][C]-1.50846478405105[/C][/ROW]
[ROW][C]121[/C][C]20[/C][C]22.0109188939418[/C][C]-2.0109188939418[/C][/ROW]
[ROW][C]122[/C][C]12[/C][C]14.5421491380857[/C][C]-2.54214913808566[/C][/ROW]
[ROW][C]123[/C][C]17[/C][C]18.6100952180651[/C][C]-1.61009521806507[/C][/ROW]
[ROW][C]124[/C][C]30[/C][C]31.6047658903732[/C][C]-1.60476589037319[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]32.0773182649105[/C][C]-1.07731826491051[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]16.5689598005424[/C][C]-6.56895980054244[/C][/ROW]
[ROW][C]127[/C][C]13[/C][C]19.1690673136969[/C][C]-6.16906731369686[/C][/ROW]
[ROW][C]128[/C][C]22[/C][C]22.5019583087388[/C][C]-0.501958308738823[/C][/ROW]
[ROW][C]129[/C][C]42[/C][C]38.3360817804797[/C][C]3.66391821952034[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]11.3101288058001[/C][C]-10.3101288058001[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]11.7766612146679[/C][C]-2.77666121466785[/C][/ROW]
[ROW][C]132[/C][C]32[/C][C]29.2853405144084[/C][C]2.71465948559156[/C][/ROW]
[ROW][C]133[/C][C]11[/C][C]15.6794070759422[/C][C]-4.67940707594221[/C][/ROW]
[ROW][C]134[/C][C]25[/C][C]18.7054306697587[/C][C]6.29456933024128[/C][/ROW]
[ROW][C]135[/C][C]36[/C][C]22.6559783693184[/C][C]13.3440216306816[/C][/ROW]
[ROW][C]136[/C][C]31[/C][C]37.6807965960342[/C][C]-6.6807965960342[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]10.5194848615912[/C][C]-10.5194848615912[/C][/ROW]
[ROW][C]138[/C][C]24[/C][C]30.1447415345499[/C][C]-6.14474153454993[/C][/ROW]
[ROW][C]139[/C][C]13[/C][C]14.2693612932192[/C][C]-1.26936129321922[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]12.769915217504[/C][C]-4.76991521750399[/C][/ROW]
[ROW][C]141[/C][C]13[/C][C]12.9226613913276[/C][C]0.0773386086723592[/C][/ROW]
[ROW][C]142[/C][C]19[/C][C]23.9906589722844[/C][C]-4.99065897228437[/C][/ROW]
[ROW][C]143[/C][C]18[/C][C]14.5979259118745[/C][C]3.40207408812551[/C][/ROW]
[ROW][C]144[/C][C]33[/C][C]32.6077164747931[/C][C]0.392283525206938[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]30.4783759569386[/C][C]9.52162404306143[/C][/ROW]
[ROW][C]146[/C][C]22[/C][C]16.6546218562657[/C][C]5.34537814373429[/C][/ROW]
[ROW][C]147[/C][C]38[/C][C]24.3808529007196[/C][C]13.6191470992804[/C][/ROW]
[ROW][C]148[/C][C]24[/C][C]21.6896412092262[/C][C]2.31035879077382[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]12.7852296870118[/C][C]-4.78522968701185[/C][/ROW]
[ROW][C]150[/C][C]35[/C][C]25.7267247411161[/C][C]9.27327525888389[/C][/ROW]
[ROW][C]151[/C][C]43[/C][C]35.5238306941915[/C][C]7.47616930580854[/C][/ROW]
[ROW][C]152[/C][C]43[/C][C]25.492233337718[/C][C]17.507766662282[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]19.8367817591387[/C][C]-5.83678175913869[/C][/ROW]
[ROW][C]154[/C][C]41[/C][C]41.0086598364983[/C][C]-0.00865983649831559[/C][/ROW]
[ROW][C]155[/C][C]38[/C][C]38.2835157481042[/C][C]-0.283515748104236[/C][/ROW]
[ROW][C]156[/C][C]45[/C][C]50.0732675351749[/C][C]-5.07326753517491[/C][/ROW]
[ROW][C]157[/C][C]31[/C][C]26.2208351772763[/C][C]4.77916482272372[/C][/ROW]
[ROW][C]158[/C][C]13[/C][C]16.6481516429054[/C][C]-3.64815164290543[/C][/ROW]
[ROW][C]159[/C][C]28[/C][C]19.6861497283648[/C][C]8.3138502716352[/C][/ROW]
[ROW][C]160[/C][C]31[/C][C]30.2159539559952[/C][C]0.7840460440048[/C][/ROW]
[ROW][C]161[/C][C]40[/C][C]38.4046041654909[/C][C]1.59539583450907[/C][/ROW]
[ROW][C]162[/C][C]30[/C][C]22.5550780913095[/C][C]7.44492190869054[/C][/ROW]
[ROW][C]163[/C][C]16[/C][C]20.3940659827084[/C][C]-4.39406598270839[/C][/ROW]
[ROW][C]164[/C][C]37[/C][C]41.5738025923218[/C][C]-4.57380259232178[/C][/ROW]
[ROW][C]165[/C][C]30[/C][C]21.7805767246195[/C][C]8.2194232753805[/C][/ROW]
[ROW][C]166[/C][C]35[/C][C]30.8482830110605[/C][C]4.15171698893945[/C][/ROW]
[ROW][C]167[/C][C]32[/C][C]24.7134457106118[/C][C]7.2865542893882[/C][/ROW]
[ROW][C]168[/C][C]27[/C][C]21.5535783443237[/C][C]5.44642165567626[/C][/ROW]
[ROW][C]169[/C][C]20[/C][C]20.6551348427116[/C][C]-0.655134842711561[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]29.3065593295564[/C][C]-11.3065593295564[/C][/ROW]
[ROW][C]171[/C][C]31[/C][C]35.7252089120471[/C][C]-4.72520891204708[/C][/ROW]
[ROW][C]172[/C][C]31[/C][C]32.9425300884203[/C][C]-1.94253008842033[/C][/ROW]
[ROW][C]173[/C][C]21[/C][C]22.6147672022561[/C][C]-1.61476720225609[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]37.1927113302033[/C][C]1.80728866979667[/C][/ROW]
[ROW][C]175[/C][C]41[/C][C]35.0410512542153[/C][C]5.95894874578472[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]18.6057443960253[/C][C]-5.60574439602532[/C][/ROW]
[ROW][C]177[/C][C]32[/C][C]34.1320821037966[/C][C]-2.13208210379665[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]16.8179706020145[/C][C]1.18202939798554[/C][/ROW]
[ROW][C]179[/C][C]39[/C][C]38.8554676074952[/C][C]0.144532392504763[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]20.697133471654[/C][C]-6.697133471654[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]16.8041759090966[/C][C]-9.80417590909661[/C][/ROW]
[ROW][C]182[/C][C]17[/C][C]21.0965196193605[/C][C]-4.0965196193605[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]10.781131821642[/C][C]-10.781131821642[/C][/ROW]
[ROW][C]184[/C][C]30[/C][C]24.6542636542507[/C][C]5.34573634574928[/C][/ROW]
[ROW][C]185[/C][C]37[/C][C]32.7000075501662[/C][C]4.29999244983378[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]10.415118381008[/C][C]-10.415118381008[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]12.7212748021839[/C][C]-7.7212748021839[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]10.4451561670811[/C][C]-9.44515616708112[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]19.5583128824571[/C][C]-3.55831288245707[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]19.278125329861[/C][C]12.721874670139[/C][/ROW]
[ROW][C]191[/C][C]24[/C][C]24.8407033348271[/C][C]-0.840703334827106[/C][/ROW]
[ROW][C]192[/C][C]17[/C][C]16.4724647414645[/C][C]0.527535258535548[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]17.0608430186307[/C][C]-6.06084301863073[/C][/ROW]
[ROW][C]194[/C][C]24[/C][C]14.3799229658773[/C][C]9.62007703412274[/C][/ROW]
[ROW][C]195[/C][C]22[/C][C]24.0196163720347[/C][C]-2.01961637203469[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]19.9714300724581[/C][C]-7.97143007245809[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]14.9556035641592[/C][C]4.04439643584079[/C][/ROW]
[ROW][C]198[/C][C]13[/C][C]18.0030143123361[/C][C]-5.0030143123361[/C][/ROW]
[ROW][C]199[/C][C]17[/C][C]19.4618408810938[/C][C]-2.4618408810938[/C][/ROW]
[ROW][C]200[/C][C]15[/C][C]17.4914009142245[/C][C]-2.49140091422448[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]15.9450222170083[/C][C]0.0549777829917359[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]13.2832512873383[/C][C]10.7167487126617[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]20.3983311071967[/C][C]-5.39833110719672[/C][/ROW]
[ROW][C]204[/C][C]17[/C][C]18.9018077587046[/C][C]-1.90180775870463[/C][/ROW]
[ROW][C]205[/C][C]18[/C][C]16.4029742082062[/C][C]1.5970257917938[/C][/ROW]
[ROW][C]206[/C][C]20[/C][C]13.334106650516[/C][C]6.665893349484[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]16.4658752235368[/C][C]-0.46587522353682[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]22.2147126766993[/C][C]-6.21471267669927[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]19.3803591850328[/C][C]-1.3803591850328[/C][/ROW]
[ROW][C]210[/C][C]22[/C][C]19.6495836896188[/C][C]2.3504163103812[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]16.37553808448[/C][C]-8.37553808447999[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]19.5067267977716[/C][C]-2.50672679777164[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.8721838887125[/C][C]3.12781611128747[/C][/ROW]
[ROW][C]214[/C][C]16[/C][C]17.7328344004231[/C][C]-1.73283440042312[/C][/ROW]
[ROW][C]215[/C][C]23[/C][C]14.3752216162845[/C][C]8.62477838371545[/C][/ROW]
[ROW][C]216[/C][C]22[/C][C]12.5641349539129[/C][C]9.43586504608709[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]15.2714000260713[/C][C]-2.27140002607126[/C][/ROW]
[ROW][C]218[/C][C]13[/C][C]15.39005780064[/C][C]-2.39005780064003[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]15.5691890985238[/C][C]0.430810901476231[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]15.1934223594592[/C][C]0.806577640540766[/C][/ROW]
[ROW][C]221[/C][C]20[/C][C]16.9188351585836[/C][C]3.08116484141642[/C][/ROW]
[ROW][C]222[/C][C]22[/C][C]19.6857331995319[/C][C]2.31426680046812[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]18.5356460508301[/C][C]-1.5356460508301[/C][/ROW]
[ROW][C]224[/C][C]18[/C][C]16.4686534840195[/C][C]1.53134651598048[/C][/ROW]
[ROW][C]225[/C][C]17[/C][C]11.4010726029663[/C][C]5.59892739703366[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]18.8450823814922[/C][C]-6.84508238149217[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]16.7325698715536[/C][C]-9.73256987155363[/C][/ROW]
[ROW][C]228[/C][C]17[/C][C]16.6471203300669[/C][C]0.352879669933079[/C][/ROW]
[ROW][C]229[/C][C]14[/C][C]15.116322131441[/C][C]-1.11632213144097[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]19.8998880055701[/C][C]3.10011199442992[/C][/ROW]
[ROW][C]231[/C][C]17[/C][C]10.7306633614775[/C][C]6.26933663852252[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]17.6067448789021[/C][C]-3.60674487890211[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]18.3177613710978[/C][C]-3.31776137109777[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]14.0943592089243[/C][C]2.90564079107572[/C][/ROW]
[ROW][C]235[/C][C]21[/C][C]16.4101693673044[/C][C]4.58983063269564[/C][/ROW]
[ROW][C]236[/C][C]18[/C][C]17.0375842295252[/C][C]0.962415770474802[/C][/ROW]
[ROW][C]237[/C][C]18[/C][C]20.2325696980221[/C][C]-2.23256969802209[/C][/ROW]
[ROW][C]238[/C][C]17[/C][C]13.5482667384403[/C][C]3.45173326155966[/C][/ROW]
[ROW][C]239[/C][C]17[/C][C]15.9651640021518[/C][C]1.03483599784815[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]13.0103261319404[/C][C]2.98967386805961[/C][/ROW]
[ROW][C]241[/C][C]15[/C][C]16.8946303519513[/C][C]-1.89463035195133[/C][/ROW]
[ROW][C]242[/C][C]21[/C][C]19.6353178714589[/C][C]1.36468212854111[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]15.244520990234[/C][C]0.75547900976605[/C][/ROW]
[ROW][C]244[/C][C]14[/C][C]15.1647103647316[/C][C]-1.1647103647316[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]15.9939357418619[/C][C]-0.993935741861918[/C][/ROW]
[ROW][C]246[/C][C]17[/C][C]17.9868051627304[/C][C]-0.986805162730355[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]20.5481028097275[/C][C]-5.54810280972753[/C][/ROW]
[ROW][C]248[/C][C]15[/C][C]16.1216352784792[/C][C]-1.12163527847925[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]16.96039569523[/C][C]-6.96039569523[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]14.7017611265975[/C][C]-8.70176112659752[/C][/ROW]
[ROW][C]251[/C][C]22[/C][C]20.7264391581862[/C][C]1.27356084181378[/C][/ROW]
[ROW][C]252[/C][C]21[/C][C]20.0246265749771[/C][C]0.975373425022866[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]11.562877544943[/C][C]-10.562877544943[/C][/ROW]
[ROW][C]254[/C][C]18[/C][C]16.0674229677868[/C][C]1.93257703221322[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]15.6438710699618[/C][C]1.35612893003822[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]11.3868401804556[/C][C]-7.38684018045562[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]14.6391056076536[/C][C]-4.63910560765362[/C][/ROW]
[ROW][C]258[/C][C]16[/C][C]17.5106882711744[/C][C]-1.51068827117441[/C][/ROW]
[ROW][C]259[/C][C]16[/C][C]14.1279307554626[/C][C]1.87206924453744[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]13.3660169435767[/C][C]-4.36601694357666[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]10.8628097873854[/C][C]5.13719021261461[/C][/ROW]
[ROW][C]262[/C][C]17[/C][C]17.7882469759652[/C][C]-0.788246975965244[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]11.4959929436021[/C][C]-4.49599294360209[/C][/ROW]
[ROW][C]264[/C][C]15[/C][C]15.9023852136059[/C][C]-0.90238521360585[/C][/ROW]
[ROW][C]265[/C][C]14[/C][C]15.2683752917149[/C][C]-1.26837529171494[/C][/ROW]
[ROW][C]266[/C][C]14[/C][C]17.7216966600559[/C][C]-3.72169666005585[/C][/ROW]
[ROW][C]267[/C][C]18[/C][C]16.3725244363344[/C][C]1.62747556366556[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]15.839776515654[/C][C]-3.839776515654[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]18.9277579341198[/C][C]-2.92775793411985[/C][/ROW]
[ROW][C]270[/C][C]21[/C][C]18.7433816299649[/C][C]2.25661837003506[/C][/ROW]
[ROW][C]271[/C][C]19[/C][C]15.8593222199113[/C][C]3.14067778008873[/C][/ROW]
[ROW][C]272[/C][C]16[/C][C]16.1297161917993[/C][C]-0.12971619179926[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]11.72426164869[/C][C]-10.72426164869[/C][/ROW]
[ROW][C]274[/C][C]16[/C][C]19.5546382015279[/C][C]-3.55463820152792[/C][/ROW]
[ROW][C]275[/C][C]10[/C][C]15.3016872725952[/C][C]-5.30168727259518[/C][/ROW]
[ROW][C]276[/C][C]19[/C][C]17.2257026256865[/C][C]1.77429737431348[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]14.2599007455052[/C][C]-2.25990074550523[/C][/ROW]
[ROW][C]278[/C][C]2[/C][C]11.4412309646392[/C][C]-9.44123096463923[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]17.2315065257051[/C][C]-3.23150652570509[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]15.4723341436552[/C][C]1.52766585634477[/C][/ROW]
[ROW][C]281[/C][C]19[/C][C]16.600304166209[/C][C]2.39969583379097[/C][/ROW]
[ROW][C]282[/C][C]14[/C][C]21.0150732230488[/C][C]-7.01507322304879[/C][/ROW]
[ROW][C]283[/C][C]11[/C][C]17.5461671202517[/C][C]-6.54616712025173[/C][/ROW]
[ROW][C]284[/C][C]4[/C][C]12.0319663571998[/C][C]-8.03196635719982[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]14.3235415924563[/C][C]1.67645840754368[/C][/ROW]
[ROW][C]286[/C][C]20[/C][C]15.0152686308095[/C][C]4.98473136919049[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]13.259604385484[/C][C]-1.25960438548395[/C][/ROW]
[ROW][C]288[/C][C]15[/C][C]15.6966868011813[/C][C]-0.696686801181305[/C][/ROW]
[ROW][C]289[/C][C]16[/C][C]14.8586376313276[/C][C]1.14136236867243[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156382&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156382&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13032.4143202775195-2.41432027751951
22825.1110796937272.88892030627304
33827.287224248345110.7127757516549
43032.419482271626-2.41948227162596
52221.36784322272490.632156777275068
62616.27549957304339.72450042695668
72543.7208478142441-18.7208478142441
81812.53598575117475.46401424882533
91116.0539891023528-5.05398910235278
102627.1001757570064-1.10017575700642
112526.0711654670487-1.07116546704873
123829.82902250365138.17097749634869
134429.200140931557414.7998590684426
143022.44859944814117.55140055185894
154034.20964602821275.79035397178732
163425.73293909721978.2670609027803
174742.25714958839464.74285041160536
183037.0107472890122-7.01074728901219
193132.8808012553565-1.8808012553565
202328.5998402612079-5.59984026120787
213635.33036172222990.669638277770132
223633.68385302467412.31614697532595
233034.9959557463075-4.9959557463075
242524.56679708808060.433202911919373
253928.696256215747610.3037437842524
263431.06709022639522.93290977360479
273128.03839583123132.96160416876874
283130.80269627302840.197303726971599
293332.87763948811180.122360511888243
302520.42216562520594.57783437479405
313332.99702183241130.00297816758865135
323534.56719913674940.432800863250612
334224.009100552355817.9908994476442
344336.59162506555256.40837493444754
353021.00342055529938.99657944470075
363336.7992698784425-3.79926987844253
371318.0840923755588-5.08409237555876
383228.34128658842853.65871341157149
393635.4410173344120.558982665588029
4009.7657288293831-9.7657288293831
412824.85022097465963.14977902534036
421418.7774277313469-4.77742773134694
431717.5779019964568-0.57790199645679
443233.7084941722116-1.70849417221161
453034.05752859593-4.05752859593004
463524.318575283815210.6814247161848
472022.9237873317855-2.92378733178555
482826.41528696902151.5847130309785
492820.52578886962377.47421113037635
503921.417626203496717.5823737965033
513437.0652737436841-3.06527374368407
522616.62571970885649.37428029114364
533929.8958060835289.104193916472
543939.3353545503191-0.335354550319095
553327.16015181635835.83984818364168
562827.69211236073660.30788763926344
57411.3194717849248-7.31947178492482
583937.45178229723721.54821770276284
591816.19971162810341.80028837189664
601418.0996697528646-4.09966975286463
612929.6859735704956-0.685973570495598
624438.15255056001585.84744943998425
632137.580907535359-16.580907535359
641617.5008717357727-1.50087173577266
652832.6317866574824-4.63178665748239
663537.255343628349-2.25534362834899
672829.7043089689105-1.70430896891054
683842.0388398116755-4.03883981167549
692337.2993101403706-14.2993101403706
703624.069201502531711.9307984974683
713228.11337186887643.88662813112355
722927.4004761759121.59952382408798
732526.380145730468-1.38014573046798
742727.9820866696979-0.982086669697892
753627.71287728492638.28712271507367
762832.9429133861738-4.94291338617376
772330.6525191759117-7.6525191759117
784028.017388078491411.9826119215086
792315.68001087343687.31998912656322
804028.092157656051911.9078423439481
812827.65862341769610.341376582303943
823428.8634395804945.136560419506
833337.9426930422282-4.94269304222819
842833.3165185206278-5.31651852062777
853441.141074055908-7.14107405590794
863027.75170247441942.24829752558064
873325.08818228416197.91181771583806
882221.7647923599830.235207640017048
893841.2850652743742-3.28506527437424
902620.57810440690715.42189559309291
913531.27412029715163.72587970284839
92820.8786767991359-12.8786767991359
932416.95102327590247.04897672409759
942927.37318628268651.62681371731353
952019.84283587107620.157164128923821
962931.8967149763931-2.8967149763931
974530.917614851330314.0823851486697
983735.09078925272531.90921074727472
993326.21240569419156.78759430580846
1003333.9617660134479-0.961766013447919
1012521.00661534877783.99338465122217
1023230.20732739205621.79267260794384
1032931.6879139677667-2.68791396776673
1042830.5278254600186-2.52782546001859
1052833.2614026492585-5.26140264925852
1063141.5720201244933-10.5720201244933
1075237.14834606093714.851653939063
1082117.26152932334093.73847067665912
1092442.9383011672093-18.9383011672093
1104134.84867434808856.15132565191152
1113337.683069985009-4.68306998500897
1123221.042220043023510.9577799569765
1131914.85219715272814.14780284727186
1142024.6064424936826-4.60644249368255
1153127.72809499031233.27190500968766
1163133.3021550986535-2.30215509865345
1173238.8171565563092-6.81715655630918
1181825.4153471022835-7.41534710228349
1192330.5048925112684-7.5048925112684
1201718.5084647840511-1.50846478405105
1212022.0109188939418-2.0109188939418
1221214.5421491380857-2.54214913808566
1231718.6100952180651-1.61009521806507
1243031.6047658903732-1.60476589037319
1253132.0773182649105-1.07731826491051
1261016.5689598005424-6.56895980054244
1271319.1690673136969-6.16906731369686
1282222.5019583087388-0.501958308738823
1294238.33608178047973.66391821952034
130111.3101288058001-10.3101288058001
131911.7766612146679-2.77666121466785
1323229.28534051440842.71465948559156
1331115.6794070759422-4.67940707594221
1342518.70543066975876.29456933024128
1353622.655978369318413.3440216306816
1363137.6807965960342-6.6807965960342
137010.5194848615912-10.5194848615912
1382430.1447415345499-6.14474153454993
1391314.2693612932192-1.26936129321922
140812.769915217504-4.76991521750399
1411312.92266139132760.0773386086723592
1421923.9906589722844-4.99065897228437
1431814.59792591187453.40207408812551
1443332.60771647479310.392283525206938
1454030.47837595693869.52162404306143
1462216.65462185626575.34537814373429
1473824.380852900719613.6191470992804
1482421.68964120922622.31035879077382
149812.7852296870118-4.78522968701185
1503525.72672474111619.27327525888389
1514335.52383069419157.47616930580854
1524325.49223333771817.507766662282
1531419.8367817591387-5.83678175913869
1544141.0086598364983-0.00865983649831559
1553838.2835157481042-0.283515748104236
1564550.0732675351749-5.07326753517491
1573126.22083517727634.77916482272372
1581316.6481516429054-3.64815164290543
1592819.68614972836488.3138502716352
1603130.21595395599520.7840460440048
1614038.40460416549091.59539583450907
1623022.55507809130957.44492190869054
1631620.3940659827084-4.39406598270839
1643741.5738025923218-4.57380259232178
1653021.78057672461958.2194232753805
1663530.84828301106054.15171698893945
1673224.71344571061187.2865542893882
1682721.55357834432375.44642165567626
1692020.6551348427116-0.655134842711561
1701829.3065593295564-11.3065593295564
1713135.7252089120471-4.72520891204708
1723132.9425300884203-1.94253008842033
1732122.6147672022561-1.61476720225609
1743937.19271133020331.80728866979667
1754135.04105125421535.95894874578472
1761318.6057443960253-5.60574439602532
1773234.1320821037966-2.13208210379665
1781816.81797060201451.18202939798554
1793938.85546760749520.144532392504763
1801420.697133471654-6.697133471654
181716.8041759090966-9.80417590909661
1821721.0965196193605-4.0965196193605
183010.781131821642-10.781131821642
1843024.65426365425075.34573634574928
1853732.70000755016624.29999244983378
186010.415118381008-10.415118381008
187512.7212748021839-7.7212748021839
188110.4451561670811-9.44515616708112
1891619.5583128824571-3.55831288245707
1903219.27812532986112.721874670139
1912424.8407033348271-0.840703334827106
1921716.47246474146450.527535258535548
1931117.0608430186307-6.06084301863073
1942414.37992296587739.62007703412274
1952224.0196163720347-2.01961637203469
1961219.9714300724581-7.97143007245809
1971914.95560356415924.04439643584079
1981318.0030143123361-5.0030143123361
1991719.4618408810938-2.4618408810938
2001517.4914009142245-2.49140091422448
2011615.94502221700830.0549777829917359
2022413.283251287338310.7167487126617
2031520.3983311071967-5.39833110719672
2041718.9018077587046-1.90180775870463
2051816.40297420820621.5970257917938
2062013.3341066505166.665893349484
2071616.4658752235368-0.46587522353682
2081622.2147126766993-6.21471267669927
2091819.3803591850328-1.3803591850328
2102219.64958368961882.3504163103812
211816.37553808448-8.37553808447999
2121719.5067267977716-2.50672679777164
2131814.87218388871253.12781611128747
2141617.7328344004231-1.73283440042312
2152314.37522161628458.62477838371545
2162212.56413495391299.43586504608709
2171315.2714000260713-2.27140002607126
2181315.39005780064-2.39005780064003
2191615.56918909852380.430810901476231
2201615.19342235945920.806577640540766
2212016.91883515858363.08116484141642
2222219.68573319953192.31426680046812
2231718.5356460508301-1.5356460508301
2241816.46865348401951.53134651598048
2251711.40107260296635.59892739703366
2261218.8450823814922-6.84508238149217
227716.7325698715536-9.73256987155363
2281716.64712033006690.352879669933079
2291415.116322131441-1.11632213144097
2302319.89988800557013.10011199442992
2311710.73066336147756.26933663852252
2321417.6067448789021-3.60674487890211
2331518.3177613710978-3.31776137109777
2341714.09435920892432.90564079107572
2352116.41016936730444.58983063269564
2361817.03758422952520.962415770474802
2371820.2325696980221-2.23256969802209
2381713.54826673844033.45173326155966
2391715.96516400215181.03483599784815
2401613.01032613194042.98967386805961
2411516.8946303519513-1.89463035195133
2422119.63531787145891.36468212854111
2431615.2445209902340.75547900976605
2441415.1647103647316-1.1647103647316
2451515.9939357418619-0.993935741861918
2461717.9868051627304-0.986805162730355
2471520.5481028097275-5.54810280972753
2481516.1216352784792-1.12163527847925
2491016.96039569523-6.96039569523
250614.7017611265975-8.70176112659752
2512220.72643915818621.27356084181378
2522120.02462657497710.975373425022866
253111.562877544943-10.562877544943
2541816.06742296778681.93257703221322
2551715.64387106996181.35612893003822
256411.3868401804556-7.38684018045562
2571014.6391056076536-4.63910560765362
2581617.5106882711744-1.51068827117441
2591614.12793075546261.87206924453744
260913.3660169435767-4.36601694357666
2611610.86280978738545.13719021261461
2621717.7882469759652-0.788246975965244
263711.4959929436021-4.49599294360209
2641515.9023852136059-0.90238521360585
2651415.2683752917149-1.26837529171494
2661417.7216966600559-3.72169666005585
2671816.37252443633441.62747556366556
2681215.839776515654-3.839776515654
2691618.9277579341198-2.92775793411985
2702118.74338162996492.25661837003506
2711915.85932221991133.14067778008873
2721616.1297161917993-0.12971619179926
273111.72426164869-10.72426164869
2741619.5546382015279-3.55463820152792
2751015.3016872725952-5.30168727259518
2761917.22570262568651.77429737431348
2771214.2599007455052-2.25990074550523
278211.4412309646392-9.44123096463923
2791417.2315065257051-3.23150652570509
2801715.47233414365521.52766585634477
2811916.6003041662092.39969583379097
2821421.0150732230488-7.01507322304879
2831117.5461671202517-6.54616712025173
284412.0319663571998-8.03196635719982
2851614.32354159245631.67645840754368
2862015.01526863080954.98473136919049
2871213.259604385484-1.25960438548395
2881515.6966868011813-0.696686801181305
2891614.85863763132761.14136236867243






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.7682415521621380.4635168956757240.231758447837862
100.6932868358156420.6134263283687170.306713164184358
110.5684541764104930.8630916471790140.431545823589507
120.620748188553920.7585036228921590.37925181144608
130.9315325895555490.1369348208889020.0684674104444511
140.9276806374228090.1446387251543830.0723193625771913
150.9285138380073860.1429723239852280.071486161992614
160.9189587418620440.1620825162759110.0810412581379556
170.9369113058881110.1261773882237770.0630886941118886
180.9384062716955540.1231874566088920.0615937283044458
190.9126035828098830.1747928343802350.0873964171901173
200.9358058020487980.1283883959024050.0641941979512024
210.909862419543450.18027516091310.09013758045655
220.8792162870597950.2415674258804110.120783712940205
230.842998738185810.3140025236283790.15700126181419
240.8033768876285430.3932462247429140.196623112371457
250.8056749033586650.388650193282670.194325096641335
260.7751314033460590.4497371933078820.224868596653941
270.7273784673564310.5452430652871380.272621532643569
280.6747928981658490.6504142036683030.325207101834151
290.6287849471783980.7424301056432040.371215052821602
300.5751162668775220.8497674662449560.424883733122478
310.5219293861661580.9561412276676850.478070613833842
320.4629384905371450.925876981074290.537061509462855
330.7043786775168050.5912426449663910.295621322483195
340.7412595546689920.5174808906620160.258740445331008
350.7387168364492640.5225663271014730.261283163550736
360.7073005661347240.5853988677305510.292699433865276
370.781724159775330.436551680449340.21827584022467
380.7520126281647340.4959747436705320.247987371835266
390.7264506123864360.5470987752271280.273549387613564
400.8993208135619040.2013583728761920.100679186438096
410.8768025149371370.2463949701257250.123197485062863
420.8816057135714020.2367885728571960.118394286428598
430.8694139230619370.2611721538761250.130586076938063
440.8447775412850930.3104449174298140.155222458714907
450.8254561088528960.3490877822942080.174543891147104
460.852731204121230.2945375917575390.14726879587877
470.8366555223860620.3266889552278770.163344477613938
480.806685989690780.3866280206184420.193314010309221
490.797581364676950.40483727064610.20241863532305
500.9056908666206820.1886182667586370.0943091333793184
510.8882335877449740.2235328245100520.111766412255026
520.8891777358564530.2216445282870950.110822264143547
530.8941665122378350.211666975524330.105833487762165
540.8760519323147810.2478961353704380.123948067685219
550.8597695951342830.2804608097314340.140230404865717
560.8367210559802430.3265578880395150.163278944019757
570.8875371603460810.2249256793078370.112462839653919
580.8695325941961440.2609348116077120.130467405803856
590.8475847572295460.3048304855409070.152415242770454
600.84587037446990.3082592510601990.154129625530099
610.8230871569524030.3538256860951940.176912843047597
620.8073265101383450.385346979723310.192673489861655
630.9212267879906070.1575464240187850.0787732120093927
640.9085455229968750.182908954006250.091454477003125
650.9003870061481960.1992259877036090.0996129938518044
660.885732072068110.2285358558637820.114267927931891
670.8696808130151860.2606383739696290.130319186984815
680.8574721645828690.2850556708342630.142527835417131
690.9361403371826380.1277193256347240.0638596628173619
700.9596586130434550.0806827739130890.0403413869565445
710.954020869954740.09195826009052180.0459791300452609
720.9443464095904580.1113071808190850.0556535904095423
730.9347327630851010.1305344738297980.0652672369148992
740.9243658180613270.1512683638773450.0756341819386725
750.9313881503888960.1372236992222070.0686118496111035
760.9306724372104910.1386551255790180.0693275627895091
770.9485536549922960.1028926900154080.0514463450077041
780.9666734287915350.06665314241692960.0333265712084648
790.964683169798150.07063366040370170.0353168302018509
800.9774628977903740.04507420441925120.0225371022096256
810.9722208541456070.05555829170878520.0277791458543926
820.9690919569029460.06181608619410870.0309080430970543
830.966139890136160.06772021972767880.0338601098638394
840.9638870005589670.07222599888206590.0361129994410329
850.965173438579520.0696531228409610.0348265614204805
860.9582138184706540.08357236305869290.0417861815293464
870.959751739173130.08049652165374010.0402482608268701
880.9523688053010370.09526238939792640.0476311946989632
890.9443593325421830.1112813349156330.0556406674578167
900.938107464181740.1237850716365220.061892535818261
910.9300627451530550.139874509693890.0699372548469452
920.9710984696813640.0578030606372720.028901530318636
930.9692398056518970.06152038869620660.0307601943481033
940.9628751109017770.07424977819644630.0371248890982231
950.9565814244214730.08683715115705450.0434185755785273
960.9501504843509810.0996990312980370.0498495156490185
970.9772765726351920.04544685472961650.0227234273648083
980.972562136877250.05487572624549970.0274378631227498
990.9723096222573280.05538075548534350.0276903777426718
1000.966421093628050.06715781274390210.0335789063719511
1010.9610366824796820.07792663504063550.0389633175203178
1020.9535133925815220.09297321483695630.0464866074184782
1030.9458485095213950.1083029809572110.0541514904786054
1040.9373677863359770.1252644273280470.0626322136640233
1050.9328654862839460.1342690274321070.0671345137160535
1060.9458226429784470.1083547140431060.0541773570215531
1070.9805509912868260.03889801742634740.0194490087131737
1080.9773625740237430.04527485195251450.0226374259762572
1090.9962685383710050.007462923257989820.00373146162899491
1100.9963938882870440.00721222342591180.0036061117129559
1110.9960561448229920.007887710354016850.00394385517700843
1120.9975586908267150.004882618346569540.00244130917328477
1130.9969584375141170.00608312497176520.0030415624858826
1140.996964073770060.006071852459880790.0030359262299404
1150.9962906406702170.007418718659566630.00370935932978332
1160.9954286047347770.00914279053044520.0045713952652226
1170.9954719731859560.009056053628088170.00452802681404409
1180.9963223620790690.007355275841862130.00367763792093106
1190.9974139585201980.005172082959603260.00258604147980163
1200.9969755945004080.006048810999184630.00302440549959231
1210.9964232927359360.007153414528128150.00357670726406408
1220.9961583769926040.007683246014791760.00384162300739588
1230.9954032058563290.009193588287342760.00459679414367138
1240.9945233480648480.01095330387030330.00547665193515163
1250.9932384755566260.01352304888674710.00676152444337356
1260.9944505753682360.01109884926352810.00554942463176406
1270.9950606932053090.009878613589382580.00493930679469129
1280.9938159003722750.01236819925544920.00618409962772459
1290.9929522643761350.01409547124773040.00704773562386522
1300.9964439788357810.007112042328438170.00355602116421908
1310.995962492766340.00807501446731960.0040375072336598
1320.9951097909185850.00978041816282920.0048902090814146
1330.994960211012780.01007957797444170.00503978898722086
1340.995076999258760.009846001482478220.00492300074123911
1350.9981374704123880.00372505917522480.0018625295876124
1360.9981973611589480.003605277682104530.00180263884105226
1370.999130324341970.001739351316059320.000869675658029662
1380.9992144491958050.001571101608390840.000785550804195422
1390.9990008466315720.001998306736856060.000999153368428032
1400.998961060788110.00207787842377930.00103893921188965
1410.9986635081570160.002672983685967970.00133649184298399
1420.9985845636163730.002830872767254160.00141543638362708
1430.998320076185290.003359847629419750.00167992381470987
1440.9978290977815140.004341804436971130.00217090221848557
1450.9983661463358960.003267707328207750.00163385366410387
1460.9983480147373480.00330397052530410.00165198526265205
1470.99940078932710.001198421345798430.000599210672899217
1480.999207428038990.00158514392201840.000792571961009199
1490.9991525904207840.001694819158432470.000847409579216234
1500.999421266357790.001157467284421270.000578733642210635
1510.9995382383779970.0009235232440055480.000461761622002774
1520.999946247759770.000107504480458945.37522402294698e-05
1530.9999454133541480.0001091732917043765.4586645852188e-05
1540.999923773435980.0001524531280404977.62265640202486e-05
1550.9998929541005210.0002140917989574010.000107045899478701
1560.9999075815643980.0001848368712034649.24184356017318e-05
1570.9998974578085860.0002050843828272370.000102542191413619
1580.9998749921857680.0002500156284644150.000125007814232207
1590.999907532026020.0001849359479605319.24679739802657e-05
1600.9998704737953420.0002590524093158510.000129526204657926
1610.9998235199100030.0003529601799942860.000176480089997143
1620.9998381869001670.0003236261996665660.000161813099833283
1630.9998169563953240.0003660872093522440.000183043604676122
1640.9997876769889610.0004246460220785080.000212323011039254
1650.9998464810949630.0003070378100736040.000153518905036802
1660.9998312704984560.0003374590030873530.000168729501543676
1670.9998670837358350.0002658325283300910.000132916264165046
1680.9998600644437680.0002798711124636920.000139935556231846
1690.999809540782680.0003809184346405750.000190459217320287
1700.9999176116696540.0001647766606925788.23883303462892e-05
1710.9999131877096110.0001736245807776288.68122903888138e-05
1720.9998802118378850.000239576324229350.000119788162114675
1730.9998366060689460.0003267878621072660.000163393931053633
1740.9997780437496670.0004439125006668410.00022195625033342
1750.999827586839160.0003448263216790390.000172413160839519
1760.9998360904882580.000327819023483010.000163909511741505
1770.9997869700081120.0004260599837761970.000213029991888098
1780.9997179048299450.0005641903401105310.000282095170055266
1790.9996245355592670.0007509288814664520.000375464440733226
1800.9996328014188820.0007343971622360160.000367198581118008
1810.9998176448754320.0003647102491351090.000182355124567555
1820.9997739463727940.0004521072544114110.000226053627205705
1830.9998892748837240.0002214502325517850.000110725116275893
1840.9998836588512430.0002326822975147650.000116341148757383
1850.999920120789260.0001597584214820317.98792107410156e-05
1860.9999648535465467.02929069075695e-053.51464534537848e-05
1870.9999734021284875.31957430253233e-052.65978715126616e-05
1880.9999885822350852.28355298299701e-051.1417764914985e-05
1890.9999843913923723.12172152558447e-051.56086076279224e-05
1900.999999077419381.84516124073223e-069.22580620366116e-07
1910.9999986862457962.62750840852016e-061.31375420426008e-06
1920.9999979180510284.16389794419058e-062.08194897209529e-06
1930.9999978417199014.31656019731404e-062.15828009865702e-06
1940.9999985100731842.97985363251152e-061.48992681625576e-06
1950.999997788861354.42227729844352e-062.21113864922176e-06
1960.9999980235320723.95293585583925e-061.97646792791962e-06
1970.9999975184711684.96305766325082e-062.48152883162541e-06
1980.999997302357545.39528492154523e-062.69764246077262e-06
1990.999996070739017.8585219783573e-063.92926098917865e-06
2000.999994406934051.11861319005253e-055.59306595026267e-06
2010.9999912329963281.75340073435312e-058.7670036717656e-06
2020.9999982721134143.45577317287617e-061.72788658643809e-06
2030.9999977623106884.47537862397769e-062.23768931198885e-06
2040.9999965172063946.96558721094001e-063.48279360547e-06
2050.9999945451726391.09096547229143e-055.45482736145717e-06
2060.9999961874087567.62518248827824e-063.81259124413912e-06
2070.9999939976596811.20046806376413e-056.00234031882064e-06
2080.9999938056167051.23887665896464e-056.19438329482318e-06
2090.9999901762231131.96475537734814e-059.8237768867407e-06
2100.9999896425514432.07148971138024e-051.03574485569012e-05
2110.9999938796596811.22406806370191e-056.12034031850957e-06
2120.9999903735690931.92528618143381e-059.62643090716904e-06
2130.9999887275514412.2544897117387e-051.12724485586935e-05
2140.9999827585921133.44828157744918e-051.72414078872459e-05
2150.9999878335463142.43329073720029e-051.21664536860014e-05
2160.9999962631142247.47377155159929e-063.73688577579965e-06
2170.9999940866389461.18267221071142e-055.91336105355708e-06
2180.999990892096821.82158063604578e-059.10790318022888e-06
2190.9999864255899522.71488200956426e-051.35744100478213e-05
2200.9999806146638463.87706723082613e-051.93853361541306e-05
2210.9999773618345984.5276330804151e-052.26381654020755e-05
2220.9999655933971866.88132056278894e-053.44066028139447e-05
2230.9999483861378920.0001032277242164745.16138621082372e-05
2240.9999311541487020.0001376917025961756.88458512980873e-05
2250.9999598829065588.02341868848982e-054.01170934424491e-05
2260.999982731960643.45360787190732e-051.72680393595366e-05
2270.9999924317863071.5136427385107e-057.5682136925535e-06
2280.9999871159928962.57680142085289e-051.28840071042645e-05
2290.9999795761371644.0847725671529e-052.04238628357645e-05
2300.9999750739264764.98521470475169e-052.49260735237584e-05
2310.9999886675138732.26649722547494e-051.13324861273747e-05
2320.9999834609575743.30780848525874e-051.65390424262937e-05
2330.9999803355375573.93289248856931e-051.96644624428466e-05
2340.999979334041974.13319160605184e-052.06659580302592e-05
2350.9999786733420644.26533158728127e-052.13266579364064e-05
2360.999974587531825.08249363612322e-052.54124681806161e-05
2370.999960239083417.95218331782095e-053.97609165891047e-05
2380.9999618894391327.6221121735417e-053.81105608677085e-05
2390.9999409786333330.0001180427333330755.90213666665374e-05
2400.9999443414198970.0001113171602055175.56585801027586e-05
2410.9999094076431670.0001811847136656829.0592356832841e-05
2420.9998728756759580.0002542486480832830.000127124324041641
2430.9998432104288620.0003135791422759390.00015678957113797
2440.999757841069530.0004843178609405110.000242158930470255
2450.9995991353522070.0008017292955862580.000400864647793129
2460.9993435184888170.001312963022366440.000656481511183222
2470.9995726141716830.000854771656633830.000427385828316915
2480.9993262488521740.001347502295651350.000673751147825675
2490.9995188507334960.000962298533007580.00048114926650379
2500.999640164626740.0007196707465183450.000359835373259173
2510.9994606140738910.001078771852217290.000539385926108643
2520.9991179073080550.001764185383889830.000882092691944915
2530.999220282667350.001559434665301210.000779717332650607
2540.998688122750990.002623754498019670.00131187724900984
2550.9978792909544670.004241418091066920.00212070904553346
2560.9974835509164940.005032898167011520.00251644908350576
2570.996130563111470.007738873777061270.00386943688853063
2580.9938846826952220.0122306346095560.00611531730477799
2590.994022448602410.01195510279517830.00597755139758916
2600.9905672410872950.01886551782541040.0094327589127052
2610.9961855349823980.00762893003520390.00381446501760195
2620.9937873145911580.01242537081768450.00621268540884223
2630.9898107750020330.0203784499959350.0101892249979675
2640.9843335586782180.03133288264356340.0156664413217817
2650.975263380888770.04947323822246030.0247366191112302
2660.9634279685859030.07314406282819410.036572031414097
2670.952403006568670.09519398686265760.0475969934313288
2680.9319066830332950.136186633933410.0680933169667051
2690.8997295915081710.2005408169836570.100270408491829
2700.8675097561399580.2649804877200830.132490243860042
2710.8150492433715340.3699015132569330.184950756628466
2720.7760303420461890.4479393159076220.223969657953811
2730.878613268135860.2427734637282820.121386731864141
2740.8196078218438860.3607843563122280.180392178156114
2750.7441959488946630.5116081022106730.255804051105337
2760.8058027563695150.388394487260970.194197243630485
2770.7119726734030620.5760546531938760.288027326596938
2780.605544915996990.788910168006020.39445508400301
2790.4596848730941180.9193697461882360.540315126905882
2800.3169204697253880.6338409394507760.683079530274612

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.768241552162138 & 0.463516895675724 & 0.231758447837862 \tabularnewline
10 & 0.693286835815642 & 0.613426328368717 & 0.306713164184358 \tabularnewline
11 & 0.568454176410493 & 0.863091647179014 & 0.431545823589507 \tabularnewline
12 & 0.62074818855392 & 0.758503622892159 & 0.37925181144608 \tabularnewline
13 & 0.931532589555549 & 0.136934820888902 & 0.0684674104444511 \tabularnewline
14 & 0.927680637422809 & 0.144638725154383 & 0.0723193625771913 \tabularnewline
15 & 0.928513838007386 & 0.142972323985228 & 0.071486161992614 \tabularnewline
16 & 0.918958741862044 & 0.162082516275911 & 0.0810412581379556 \tabularnewline
17 & 0.936911305888111 & 0.126177388223777 & 0.0630886941118886 \tabularnewline
18 & 0.938406271695554 & 0.123187456608892 & 0.0615937283044458 \tabularnewline
19 & 0.912603582809883 & 0.174792834380235 & 0.0873964171901173 \tabularnewline
20 & 0.935805802048798 & 0.128388395902405 & 0.0641941979512024 \tabularnewline
21 & 0.90986241954345 & 0.1802751609131 & 0.09013758045655 \tabularnewline
22 & 0.879216287059795 & 0.241567425880411 & 0.120783712940205 \tabularnewline
23 & 0.84299873818581 & 0.314002523628379 & 0.15700126181419 \tabularnewline
24 & 0.803376887628543 & 0.393246224742914 & 0.196623112371457 \tabularnewline
25 & 0.805674903358665 & 0.38865019328267 & 0.194325096641335 \tabularnewline
26 & 0.775131403346059 & 0.449737193307882 & 0.224868596653941 \tabularnewline
27 & 0.727378467356431 & 0.545243065287138 & 0.272621532643569 \tabularnewline
28 & 0.674792898165849 & 0.650414203668303 & 0.325207101834151 \tabularnewline
29 & 0.628784947178398 & 0.742430105643204 & 0.371215052821602 \tabularnewline
30 & 0.575116266877522 & 0.849767466244956 & 0.424883733122478 \tabularnewline
31 & 0.521929386166158 & 0.956141227667685 & 0.478070613833842 \tabularnewline
32 & 0.462938490537145 & 0.92587698107429 & 0.537061509462855 \tabularnewline
33 & 0.704378677516805 & 0.591242644966391 & 0.295621322483195 \tabularnewline
34 & 0.741259554668992 & 0.517480890662016 & 0.258740445331008 \tabularnewline
35 & 0.738716836449264 & 0.522566327101473 & 0.261283163550736 \tabularnewline
36 & 0.707300566134724 & 0.585398867730551 & 0.292699433865276 \tabularnewline
37 & 0.78172415977533 & 0.43655168044934 & 0.21827584022467 \tabularnewline
38 & 0.752012628164734 & 0.495974743670532 & 0.247987371835266 \tabularnewline
39 & 0.726450612386436 & 0.547098775227128 & 0.273549387613564 \tabularnewline
40 & 0.899320813561904 & 0.201358372876192 & 0.100679186438096 \tabularnewline
41 & 0.876802514937137 & 0.246394970125725 & 0.123197485062863 \tabularnewline
42 & 0.881605713571402 & 0.236788572857196 & 0.118394286428598 \tabularnewline
43 & 0.869413923061937 & 0.261172153876125 & 0.130586076938063 \tabularnewline
44 & 0.844777541285093 & 0.310444917429814 & 0.155222458714907 \tabularnewline
45 & 0.825456108852896 & 0.349087782294208 & 0.174543891147104 \tabularnewline
46 & 0.85273120412123 & 0.294537591757539 & 0.14726879587877 \tabularnewline
47 & 0.836655522386062 & 0.326688955227877 & 0.163344477613938 \tabularnewline
48 & 0.80668598969078 & 0.386628020618442 & 0.193314010309221 \tabularnewline
49 & 0.79758136467695 & 0.4048372706461 & 0.20241863532305 \tabularnewline
50 & 0.905690866620682 & 0.188618266758637 & 0.0943091333793184 \tabularnewline
51 & 0.888233587744974 & 0.223532824510052 & 0.111766412255026 \tabularnewline
52 & 0.889177735856453 & 0.221644528287095 & 0.110822264143547 \tabularnewline
53 & 0.894166512237835 & 0.21166697552433 & 0.105833487762165 \tabularnewline
54 & 0.876051932314781 & 0.247896135370438 & 0.123948067685219 \tabularnewline
55 & 0.859769595134283 & 0.280460809731434 & 0.140230404865717 \tabularnewline
56 & 0.836721055980243 & 0.326557888039515 & 0.163278944019757 \tabularnewline
57 & 0.887537160346081 & 0.224925679307837 & 0.112462839653919 \tabularnewline
58 & 0.869532594196144 & 0.260934811607712 & 0.130467405803856 \tabularnewline
59 & 0.847584757229546 & 0.304830485540907 & 0.152415242770454 \tabularnewline
60 & 0.8458703744699 & 0.308259251060199 & 0.154129625530099 \tabularnewline
61 & 0.823087156952403 & 0.353825686095194 & 0.176912843047597 \tabularnewline
62 & 0.807326510138345 & 0.38534697972331 & 0.192673489861655 \tabularnewline
63 & 0.921226787990607 & 0.157546424018785 & 0.0787732120093927 \tabularnewline
64 & 0.908545522996875 & 0.18290895400625 & 0.091454477003125 \tabularnewline
65 & 0.900387006148196 & 0.199225987703609 & 0.0996129938518044 \tabularnewline
66 & 0.88573207206811 & 0.228535855863782 & 0.114267927931891 \tabularnewline
67 & 0.869680813015186 & 0.260638373969629 & 0.130319186984815 \tabularnewline
68 & 0.857472164582869 & 0.285055670834263 & 0.142527835417131 \tabularnewline
69 & 0.936140337182638 & 0.127719325634724 & 0.0638596628173619 \tabularnewline
70 & 0.959658613043455 & 0.080682773913089 & 0.0403413869565445 \tabularnewline
71 & 0.95402086995474 & 0.0919582600905218 & 0.0459791300452609 \tabularnewline
72 & 0.944346409590458 & 0.111307180819085 & 0.0556535904095423 \tabularnewline
73 & 0.934732763085101 & 0.130534473829798 & 0.0652672369148992 \tabularnewline
74 & 0.924365818061327 & 0.151268363877345 & 0.0756341819386725 \tabularnewline
75 & 0.931388150388896 & 0.137223699222207 & 0.0686118496111035 \tabularnewline
76 & 0.930672437210491 & 0.138655125579018 & 0.0693275627895091 \tabularnewline
77 & 0.948553654992296 & 0.102892690015408 & 0.0514463450077041 \tabularnewline
78 & 0.966673428791535 & 0.0666531424169296 & 0.0333265712084648 \tabularnewline
79 & 0.96468316979815 & 0.0706336604037017 & 0.0353168302018509 \tabularnewline
80 & 0.977462897790374 & 0.0450742044192512 & 0.0225371022096256 \tabularnewline
81 & 0.972220854145607 & 0.0555582917087852 & 0.0277791458543926 \tabularnewline
82 & 0.969091956902946 & 0.0618160861941087 & 0.0309080430970543 \tabularnewline
83 & 0.96613989013616 & 0.0677202197276788 & 0.0338601098638394 \tabularnewline
84 & 0.963887000558967 & 0.0722259988820659 & 0.0361129994410329 \tabularnewline
85 & 0.96517343857952 & 0.069653122840961 & 0.0348265614204805 \tabularnewline
86 & 0.958213818470654 & 0.0835723630586929 & 0.0417861815293464 \tabularnewline
87 & 0.95975173917313 & 0.0804965216537401 & 0.0402482608268701 \tabularnewline
88 & 0.952368805301037 & 0.0952623893979264 & 0.0476311946989632 \tabularnewline
89 & 0.944359332542183 & 0.111281334915633 & 0.0556406674578167 \tabularnewline
90 & 0.93810746418174 & 0.123785071636522 & 0.061892535818261 \tabularnewline
91 & 0.930062745153055 & 0.13987450969389 & 0.0699372548469452 \tabularnewline
92 & 0.971098469681364 & 0.057803060637272 & 0.028901530318636 \tabularnewline
93 & 0.969239805651897 & 0.0615203886962066 & 0.0307601943481033 \tabularnewline
94 & 0.962875110901777 & 0.0742497781964463 & 0.0371248890982231 \tabularnewline
95 & 0.956581424421473 & 0.0868371511570545 & 0.0434185755785273 \tabularnewline
96 & 0.950150484350981 & 0.099699031298037 & 0.0498495156490185 \tabularnewline
97 & 0.977276572635192 & 0.0454468547296165 & 0.0227234273648083 \tabularnewline
98 & 0.97256213687725 & 0.0548757262454997 & 0.0274378631227498 \tabularnewline
99 & 0.972309622257328 & 0.0553807554853435 & 0.0276903777426718 \tabularnewline
100 & 0.96642109362805 & 0.0671578127439021 & 0.0335789063719511 \tabularnewline
101 & 0.961036682479682 & 0.0779266350406355 & 0.0389633175203178 \tabularnewline
102 & 0.953513392581522 & 0.0929732148369563 & 0.0464866074184782 \tabularnewline
103 & 0.945848509521395 & 0.108302980957211 & 0.0541514904786054 \tabularnewline
104 & 0.937367786335977 & 0.125264427328047 & 0.0626322136640233 \tabularnewline
105 & 0.932865486283946 & 0.134269027432107 & 0.0671345137160535 \tabularnewline
106 & 0.945822642978447 & 0.108354714043106 & 0.0541773570215531 \tabularnewline
107 & 0.980550991286826 & 0.0388980174263474 & 0.0194490087131737 \tabularnewline
108 & 0.977362574023743 & 0.0452748519525145 & 0.0226374259762572 \tabularnewline
109 & 0.996268538371005 & 0.00746292325798982 & 0.00373146162899491 \tabularnewline
110 & 0.996393888287044 & 0.0072122234259118 & 0.0036061117129559 \tabularnewline
111 & 0.996056144822992 & 0.00788771035401685 & 0.00394385517700843 \tabularnewline
112 & 0.997558690826715 & 0.00488261834656954 & 0.00244130917328477 \tabularnewline
113 & 0.996958437514117 & 0.0060831249717652 & 0.0030415624858826 \tabularnewline
114 & 0.99696407377006 & 0.00607185245988079 & 0.0030359262299404 \tabularnewline
115 & 0.996290640670217 & 0.00741871865956663 & 0.00370935932978332 \tabularnewline
116 & 0.995428604734777 & 0.0091427905304452 & 0.0045713952652226 \tabularnewline
117 & 0.995471973185956 & 0.00905605362808817 & 0.00452802681404409 \tabularnewline
118 & 0.996322362079069 & 0.00735527584186213 & 0.00367763792093106 \tabularnewline
119 & 0.997413958520198 & 0.00517208295960326 & 0.00258604147980163 \tabularnewline
120 & 0.996975594500408 & 0.00604881099918463 & 0.00302440549959231 \tabularnewline
121 & 0.996423292735936 & 0.00715341452812815 & 0.00357670726406408 \tabularnewline
122 & 0.996158376992604 & 0.00768324601479176 & 0.00384162300739588 \tabularnewline
123 & 0.995403205856329 & 0.00919358828734276 & 0.00459679414367138 \tabularnewline
124 & 0.994523348064848 & 0.0109533038703033 & 0.00547665193515163 \tabularnewline
125 & 0.993238475556626 & 0.0135230488867471 & 0.00676152444337356 \tabularnewline
126 & 0.994450575368236 & 0.0110988492635281 & 0.00554942463176406 \tabularnewline
127 & 0.995060693205309 & 0.00987861358938258 & 0.00493930679469129 \tabularnewline
128 & 0.993815900372275 & 0.0123681992554492 & 0.00618409962772459 \tabularnewline
129 & 0.992952264376135 & 0.0140954712477304 & 0.00704773562386522 \tabularnewline
130 & 0.996443978835781 & 0.00711204232843817 & 0.00355602116421908 \tabularnewline
131 & 0.99596249276634 & 0.0080750144673196 & 0.0040375072336598 \tabularnewline
132 & 0.995109790918585 & 0.0097804181628292 & 0.0048902090814146 \tabularnewline
133 & 0.99496021101278 & 0.0100795779744417 & 0.00503978898722086 \tabularnewline
134 & 0.99507699925876 & 0.00984600148247822 & 0.00492300074123911 \tabularnewline
135 & 0.998137470412388 & 0.0037250591752248 & 0.0018625295876124 \tabularnewline
136 & 0.998197361158948 & 0.00360527768210453 & 0.00180263884105226 \tabularnewline
137 & 0.99913032434197 & 0.00173935131605932 & 0.000869675658029662 \tabularnewline
138 & 0.999214449195805 & 0.00157110160839084 & 0.000785550804195422 \tabularnewline
139 & 0.999000846631572 & 0.00199830673685606 & 0.000999153368428032 \tabularnewline
140 & 0.99896106078811 & 0.0020778784237793 & 0.00103893921188965 \tabularnewline
141 & 0.998663508157016 & 0.00267298368596797 & 0.00133649184298399 \tabularnewline
142 & 0.998584563616373 & 0.00283087276725416 & 0.00141543638362708 \tabularnewline
143 & 0.99832007618529 & 0.00335984762941975 & 0.00167992381470987 \tabularnewline
144 & 0.997829097781514 & 0.00434180443697113 & 0.00217090221848557 \tabularnewline
145 & 0.998366146335896 & 0.00326770732820775 & 0.00163385366410387 \tabularnewline
146 & 0.998348014737348 & 0.0033039705253041 & 0.00165198526265205 \tabularnewline
147 & 0.9994007893271 & 0.00119842134579843 & 0.000599210672899217 \tabularnewline
148 & 0.99920742803899 & 0.0015851439220184 & 0.000792571961009199 \tabularnewline
149 & 0.999152590420784 & 0.00169481915843247 & 0.000847409579216234 \tabularnewline
150 & 0.99942126635779 & 0.00115746728442127 & 0.000578733642210635 \tabularnewline
151 & 0.999538238377997 & 0.000923523244005548 & 0.000461761622002774 \tabularnewline
152 & 0.99994624775977 & 0.00010750448045894 & 5.37522402294698e-05 \tabularnewline
153 & 0.999945413354148 & 0.000109173291704376 & 5.4586645852188e-05 \tabularnewline
154 & 0.99992377343598 & 0.000152453128040497 & 7.62265640202486e-05 \tabularnewline
155 & 0.999892954100521 & 0.000214091798957401 & 0.000107045899478701 \tabularnewline
156 & 0.999907581564398 & 0.000184836871203464 & 9.24184356017318e-05 \tabularnewline
157 & 0.999897457808586 & 0.000205084382827237 & 0.000102542191413619 \tabularnewline
158 & 0.999874992185768 & 0.000250015628464415 & 0.000125007814232207 \tabularnewline
159 & 0.99990753202602 & 0.000184935947960531 & 9.24679739802657e-05 \tabularnewline
160 & 0.999870473795342 & 0.000259052409315851 & 0.000129526204657926 \tabularnewline
161 & 0.999823519910003 & 0.000352960179994286 & 0.000176480089997143 \tabularnewline
162 & 0.999838186900167 & 0.000323626199666566 & 0.000161813099833283 \tabularnewline
163 & 0.999816956395324 & 0.000366087209352244 & 0.000183043604676122 \tabularnewline
164 & 0.999787676988961 & 0.000424646022078508 & 0.000212323011039254 \tabularnewline
165 & 0.999846481094963 & 0.000307037810073604 & 0.000153518905036802 \tabularnewline
166 & 0.999831270498456 & 0.000337459003087353 & 0.000168729501543676 \tabularnewline
167 & 0.999867083735835 & 0.000265832528330091 & 0.000132916264165046 \tabularnewline
168 & 0.999860064443768 & 0.000279871112463692 & 0.000139935556231846 \tabularnewline
169 & 0.99980954078268 & 0.000380918434640575 & 0.000190459217320287 \tabularnewline
170 & 0.999917611669654 & 0.000164776660692578 & 8.23883303462892e-05 \tabularnewline
171 & 0.999913187709611 & 0.000173624580777628 & 8.68122903888138e-05 \tabularnewline
172 & 0.999880211837885 & 0.00023957632422935 & 0.000119788162114675 \tabularnewline
173 & 0.999836606068946 & 0.000326787862107266 & 0.000163393931053633 \tabularnewline
174 & 0.999778043749667 & 0.000443912500666841 & 0.00022195625033342 \tabularnewline
175 & 0.99982758683916 & 0.000344826321679039 & 0.000172413160839519 \tabularnewline
176 & 0.999836090488258 & 0.00032781902348301 & 0.000163909511741505 \tabularnewline
177 & 0.999786970008112 & 0.000426059983776197 & 0.000213029991888098 \tabularnewline
178 & 0.999717904829945 & 0.000564190340110531 & 0.000282095170055266 \tabularnewline
179 & 0.999624535559267 & 0.000750928881466452 & 0.000375464440733226 \tabularnewline
180 & 0.999632801418882 & 0.000734397162236016 & 0.000367198581118008 \tabularnewline
181 & 0.999817644875432 & 0.000364710249135109 & 0.000182355124567555 \tabularnewline
182 & 0.999773946372794 & 0.000452107254411411 & 0.000226053627205705 \tabularnewline
183 & 0.999889274883724 & 0.000221450232551785 & 0.000110725116275893 \tabularnewline
184 & 0.999883658851243 & 0.000232682297514765 & 0.000116341148757383 \tabularnewline
185 & 0.99992012078926 & 0.000159758421482031 & 7.98792107410156e-05 \tabularnewline
186 & 0.999964853546546 & 7.02929069075695e-05 & 3.51464534537848e-05 \tabularnewline
187 & 0.999973402128487 & 5.31957430253233e-05 & 2.65978715126616e-05 \tabularnewline
188 & 0.999988582235085 & 2.28355298299701e-05 & 1.1417764914985e-05 \tabularnewline
189 & 0.999984391392372 & 3.12172152558447e-05 & 1.56086076279224e-05 \tabularnewline
190 & 0.99999907741938 & 1.84516124073223e-06 & 9.22580620366116e-07 \tabularnewline
191 & 0.999998686245796 & 2.62750840852016e-06 & 1.31375420426008e-06 \tabularnewline
192 & 0.999997918051028 & 4.16389794419058e-06 & 2.08194897209529e-06 \tabularnewline
193 & 0.999997841719901 & 4.31656019731404e-06 & 2.15828009865702e-06 \tabularnewline
194 & 0.999998510073184 & 2.97985363251152e-06 & 1.48992681625576e-06 \tabularnewline
195 & 0.99999778886135 & 4.42227729844352e-06 & 2.21113864922176e-06 \tabularnewline
196 & 0.999998023532072 & 3.95293585583925e-06 & 1.97646792791962e-06 \tabularnewline
197 & 0.999997518471168 & 4.96305766325082e-06 & 2.48152883162541e-06 \tabularnewline
198 & 0.99999730235754 & 5.39528492154523e-06 & 2.69764246077262e-06 \tabularnewline
199 & 0.99999607073901 & 7.8585219783573e-06 & 3.92926098917865e-06 \tabularnewline
200 & 0.99999440693405 & 1.11861319005253e-05 & 5.59306595026267e-06 \tabularnewline
201 & 0.999991232996328 & 1.75340073435312e-05 & 8.7670036717656e-06 \tabularnewline
202 & 0.999998272113414 & 3.45577317287617e-06 & 1.72788658643809e-06 \tabularnewline
203 & 0.999997762310688 & 4.47537862397769e-06 & 2.23768931198885e-06 \tabularnewline
204 & 0.999996517206394 & 6.96558721094001e-06 & 3.48279360547e-06 \tabularnewline
205 & 0.999994545172639 & 1.09096547229143e-05 & 5.45482736145717e-06 \tabularnewline
206 & 0.999996187408756 & 7.62518248827824e-06 & 3.81259124413912e-06 \tabularnewline
207 & 0.999993997659681 & 1.20046806376413e-05 & 6.00234031882064e-06 \tabularnewline
208 & 0.999993805616705 & 1.23887665896464e-05 & 6.19438329482318e-06 \tabularnewline
209 & 0.999990176223113 & 1.96475537734814e-05 & 9.8237768867407e-06 \tabularnewline
210 & 0.999989642551443 & 2.07148971138024e-05 & 1.03574485569012e-05 \tabularnewline
211 & 0.999993879659681 & 1.22406806370191e-05 & 6.12034031850957e-06 \tabularnewline
212 & 0.999990373569093 & 1.92528618143381e-05 & 9.62643090716904e-06 \tabularnewline
213 & 0.999988727551441 & 2.2544897117387e-05 & 1.12724485586935e-05 \tabularnewline
214 & 0.999982758592113 & 3.44828157744918e-05 & 1.72414078872459e-05 \tabularnewline
215 & 0.999987833546314 & 2.43329073720029e-05 & 1.21664536860014e-05 \tabularnewline
216 & 0.999996263114224 & 7.47377155159929e-06 & 3.73688577579965e-06 \tabularnewline
217 & 0.999994086638946 & 1.18267221071142e-05 & 5.91336105355708e-06 \tabularnewline
218 & 0.99999089209682 & 1.82158063604578e-05 & 9.10790318022888e-06 \tabularnewline
219 & 0.999986425589952 & 2.71488200956426e-05 & 1.35744100478213e-05 \tabularnewline
220 & 0.999980614663846 & 3.87706723082613e-05 & 1.93853361541306e-05 \tabularnewline
221 & 0.999977361834598 & 4.5276330804151e-05 & 2.26381654020755e-05 \tabularnewline
222 & 0.999965593397186 & 6.88132056278894e-05 & 3.44066028139447e-05 \tabularnewline
223 & 0.999948386137892 & 0.000103227724216474 & 5.16138621082372e-05 \tabularnewline
224 & 0.999931154148702 & 0.000137691702596175 & 6.88458512980873e-05 \tabularnewline
225 & 0.999959882906558 & 8.02341868848982e-05 & 4.01170934424491e-05 \tabularnewline
226 & 0.99998273196064 & 3.45360787190732e-05 & 1.72680393595366e-05 \tabularnewline
227 & 0.999992431786307 & 1.5136427385107e-05 & 7.5682136925535e-06 \tabularnewline
228 & 0.999987115992896 & 2.57680142085289e-05 & 1.28840071042645e-05 \tabularnewline
229 & 0.999979576137164 & 4.0847725671529e-05 & 2.04238628357645e-05 \tabularnewline
230 & 0.999975073926476 & 4.98521470475169e-05 & 2.49260735237584e-05 \tabularnewline
231 & 0.999988667513873 & 2.26649722547494e-05 & 1.13324861273747e-05 \tabularnewline
232 & 0.999983460957574 & 3.30780848525874e-05 & 1.65390424262937e-05 \tabularnewline
233 & 0.999980335537557 & 3.93289248856931e-05 & 1.96644624428466e-05 \tabularnewline
234 & 0.99997933404197 & 4.13319160605184e-05 & 2.06659580302592e-05 \tabularnewline
235 & 0.999978673342064 & 4.26533158728127e-05 & 2.13266579364064e-05 \tabularnewline
236 & 0.99997458753182 & 5.08249363612322e-05 & 2.54124681806161e-05 \tabularnewline
237 & 0.99996023908341 & 7.95218331782095e-05 & 3.97609165891047e-05 \tabularnewline
238 & 0.999961889439132 & 7.6221121735417e-05 & 3.81105608677085e-05 \tabularnewline
239 & 0.999940978633333 & 0.000118042733333075 & 5.90213666665374e-05 \tabularnewline
240 & 0.999944341419897 & 0.000111317160205517 & 5.56585801027586e-05 \tabularnewline
241 & 0.999909407643167 & 0.000181184713665682 & 9.0592356832841e-05 \tabularnewline
242 & 0.999872875675958 & 0.000254248648083283 & 0.000127124324041641 \tabularnewline
243 & 0.999843210428862 & 0.000313579142275939 & 0.00015678957113797 \tabularnewline
244 & 0.99975784106953 & 0.000484317860940511 & 0.000242158930470255 \tabularnewline
245 & 0.999599135352207 & 0.000801729295586258 & 0.000400864647793129 \tabularnewline
246 & 0.999343518488817 & 0.00131296302236644 & 0.000656481511183222 \tabularnewline
247 & 0.999572614171683 & 0.00085477165663383 & 0.000427385828316915 \tabularnewline
248 & 0.999326248852174 & 0.00134750229565135 & 0.000673751147825675 \tabularnewline
249 & 0.999518850733496 & 0.00096229853300758 & 0.00048114926650379 \tabularnewline
250 & 0.99964016462674 & 0.000719670746518345 & 0.000359835373259173 \tabularnewline
251 & 0.999460614073891 & 0.00107877185221729 & 0.000539385926108643 \tabularnewline
252 & 0.999117907308055 & 0.00176418538388983 & 0.000882092691944915 \tabularnewline
253 & 0.99922028266735 & 0.00155943466530121 & 0.000779717332650607 \tabularnewline
254 & 0.99868812275099 & 0.00262375449801967 & 0.00131187724900984 \tabularnewline
255 & 0.997879290954467 & 0.00424141809106692 & 0.00212070904553346 \tabularnewline
256 & 0.997483550916494 & 0.00503289816701152 & 0.00251644908350576 \tabularnewline
257 & 0.99613056311147 & 0.00773887377706127 & 0.00386943688853063 \tabularnewline
258 & 0.993884682695222 & 0.012230634609556 & 0.00611531730477799 \tabularnewline
259 & 0.99402244860241 & 0.0119551027951783 & 0.00597755139758916 \tabularnewline
260 & 0.990567241087295 & 0.0188655178254104 & 0.0094327589127052 \tabularnewline
261 & 0.996185534982398 & 0.0076289300352039 & 0.00381446501760195 \tabularnewline
262 & 0.993787314591158 & 0.0124253708176845 & 0.00621268540884223 \tabularnewline
263 & 0.989810775002033 & 0.020378449995935 & 0.0101892249979675 \tabularnewline
264 & 0.984333558678218 & 0.0313328826435634 & 0.0156664413217817 \tabularnewline
265 & 0.97526338088877 & 0.0494732382224603 & 0.0247366191112302 \tabularnewline
266 & 0.963427968585903 & 0.0731440628281941 & 0.036572031414097 \tabularnewline
267 & 0.95240300656867 & 0.0951939868626576 & 0.0475969934313288 \tabularnewline
268 & 0.931906683033295 & 0.13618663393341 & 0.0680933169667051 \tabularnewline
269 & 0.899729591508171 & 0.200540816983657 & 0.100270408491829 \tabularnewline
270 & 0.867509756139958 & 0.264980487720083 & 0.132490243860042 \tabularnewline
271 & 0.815049243371534 & 0.369901513256933 & 0.184950756628466 \tabularnewline
272 & 0.776030342046189 & 0.447939315907622 & 0.223969657953811 \tabularnewline
273 & 0.87861326813586 & 0.242773463728282 & 0.121386731864141 \tabularnewline
274 & 0.819607821843886 & 0.360784356312228 & 0.180392178156114 \tabularnewline
275 & 0.744195948894663 & 0.511608102210673 & 0.255804051105337 \tabularnewline
276 & 0.805802756369515 & 0.38839448726097 & 0.194197243630485 \tabularnewline
277 & 0.711972673403062 & 0.576054653193876 & 0.288027326596938 \tabularnewline
278 & 0.60554491599699 & 0.78891016800602 & 0.39445508400301 \tabularnewline
279 & 0.459684873094118 & 0.919369746188236 & 0.540315126905882 \tabularnewline
280 & 0.316920469725388 & 0.633840939450776 & 0.683079530274612 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156382&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]9[/C][C]0.768241552162138[/C][C]0.463516895675724[/C][C]0.231758447837862[/C][/ROW]
[ROW][C]10[/C][C]0.693286835815642[/C][C]0.613426328368717[/C][C]0.306713164184358[/C][/ROW]
[ROW][C]11[/C][C]0.568454176410493[/C][C]0.863091647179014[/C][C]0.431545823589507[/C][/ROW]
[ROW][C]12[/C][C]0.62074818855392[/C][C]0.758503622892159[/C][C]0.37925181144608[/C][/ROW]
[ROW][C]13[/C][C]0.931532589555549[/C][C]0.136934820888902[/C][C]0.0684674104444511[/C][/ROW]
[ROW][C]14[/C][C]0.927680637422809[/C][C]0.144638725154383[/C][C]0.0723193625771913[/C][/ROW]
[ROW][C]15[/C][C]0.928513838007386[/C][C]0.142972323985228[/C][C]0.071486161992614[/C][/ROW]
[ROW][C]16[/C][C]0.918958741862044[/C][C]0.162082516275911[/C][C]0.0810412581379556[/C][/ROW]
[ROW][C]17[/C][C]0.936911305888111[/C][C]0.126177388223777[/C][C]0.0630886941118886[/C][/ROW]
[ROW][C]18[/C][C]0.938406271695554[/C][C]0.123187456608892[/C][C]0.0615937283044458[/C][/ROW]
[ROW][C]19[/C][C]0.912603582809883[/C][C]0.174792834380235[/C][C]0.0873964171901173[/C][/ROW]
[ROW][C]20[/C][C]0.935805802048798[/C][C]0.128388395902405[/C][C]0.0641941979512024[/C][/ROW]
[ROW][C]21[/C][C]0.90986241954345[/C][C]0.1802751609131[/C][C]0.09013758045655[/C][/ROW]
[ROW][C]22[/C][C]0.879216287059795[/C][C]0.241567425880411[/C][C]0.120783712940205[/C][/ROW]
[ROW][C]23[/C][C]0.84299873818581[/C][C]0.314002523628379[/C][C]0.15700126181419[/C][/ROW]
[ROW][C]24[/C][C]0.803376887628543[/C][C]0.393246224742914[/C][C]0.196623112371457[/C][/ROW]
[ROW][C]25[/C][C]0.805674903358665[/C][C]0.38865019328267[/C][C]0.194325096641335[/C][/ROW]
[ROW][C]26[/C][C]0.775131403346059[/C][C]0.449737193307882[/C][C]0.224868596653941[/C][/ROW]
[ROW][C]27[/C][C]0.727378467356431[/C][C]0.545243065287138[/C][C]0.272621532643569[/C][/ROW]
[ROW][C]28[/C][C]0.674792898165849[/C][C]0.650414203668303[/C][C]0.325207101834151[/C][/ROW]
[ROW][C]29[/C][C]0.628784947178398[/C][C]0.742430105643204[/C][C]0.371215052821602[/C][/ROW]
[ROW][C]30[/C][C]0.575116266877522[/C][C]0.849767466244956[/C][C]0.424883733122478[/C][/ROW]
[ROW][C]31[/C][C]0.521929386166158[/C][C]0.956141227667685[/C][C]0.478070613833842[/C][/ROW]
[ROW][C]32[/C][C]0.462938490537145[/C][C]0.92587698107429[/C][C]0.537061509462855[/C][/ROW]
[ROW][C]33[/C][C]0.704378677516805[/C][C]0.591242644966391[/C][C]0.295621322483195[/C][/ROW]
[ROW][C]34[/C][C]0.741259554668992[/C][C]0.517480890662016[/C][C]0.258740445331008[/C][/ROW]
[ROW][C]35[/C][C]0.738716836449264[/C][C]0.522566327101473[/C][C]0.261283163550736[/C][/ROW]
[ROW][C]36[/C][C]0.707300566134724[/C][C]0.585398867730551[/C][C]0.292699433865276[/C][/ROW]
[ROW][C]37[/C][C]0.78172415977533[/C][C]0.43655168044934[/C][C]0.21827584022467[/C][/ROW]
[ROW][C]38[/C][C]0.752012628164734[/C][C]0.495974743670532[/C][C]0.247987371835266[/C][/ROW]
[ROW][C]39[/C][C]0.726450612386436[/C][C]0.547098775227128[/C][C]0.273549387613564[/C][/ROW]
[ROW][C]40[/C][C]0.899320813561904[/C][C]0.201358372876192[/C][C]0.100679186438096[/C][/ROW]
[ROW][C]41[/C][C]0.876802514937137[/C][C]0.246394970125725[/C][C]0.123197485062863[/C][/ROW]
[ROW][C]42[/C][C]0.881605713571402[/C][C]0.236788572857196[/C][C]0.118394286428598[/C][/ROW]
[ROW][C]43[/C][C]0.869413923061937[/C][C]0.261172153876125[/C][C]0.130586076938063[/C][/ROW]
[ROW][C]44[/C][C]0.844777541285093[/C][C]0.310444917429814[/C][C]0.155222458714907[/C][/ROW]
[ROW][C]45[/C][C]0.825456108852896[/C][C]0.349087782294208[/C][C]0.174543891147104[/C][/ROW]
[ROW][C]46[/C][C]0.85273120412123[/C][C]0.294537591757539[/C][C]0.14726879587877[/C][/ROW]
[ROW][C]47[/C][C]0.836655522386062[/C][C]0.326688955227877[/C][C]0.163344477613938[/C][/ROW]
[ROW][C]48[/C][C]0.80668598969078[/C][C]0.386628020618442[/C][C]0.193314010309221[/C][/ROW]
[ROW][C]49[/C][C]0.79758136467695[/C][C]0.4048372706461[/C][C]0.20241863532305[/C][/ROW]
[ROW][C]50[/C][C]0.905690866620682[/C][C]0.188618266758637[/C][C]0.0943091333793184[/C][/ROW]
[ROW][C]51[/C][C]0.888233587744974[/C][C]0.223532824510052[/C][C]0.111766412255026[/C][/ROW]
[ROW][C]52[/C][C]0.889177735856453[/C][C]0.221644528287095[/C][C]0.110822264143547[/C][/ROW]
[ROW][C]53[/C][C]0.894166512237835[/C][C]0.21166697552433[/C][C]0.105833487762165[/C][/ROW]
[ROW][C]54[/C][C]0.876051932314781[/C][C]0.247896135370438[/C][C]0.123948067685219[/C][/ROW]
[ROW][C]55[/C][C]0.859769595134283[/C][C]0.280460809731434[/C][C]0.140230404865717[/C][/ROW]
[ROW][C]56[/C][C]0.836721055980243[/C][C]0.326557888039515[/C][C]0.163278944019757[/C][/ROW]
[ROW][C]57[/C][C]0.887537160346081[/C][C]0.224925679307837[/C][C]0.112462839653919[/C][/ROW]
[ROW][C]58[/C][C]0.869532594196144[/C][C]0.260934811607712[/C][C]0.130467405803856[/C][/ROW]
[ROW][C]59[/C][C]0.847584757229546[/C][C]0.304830485540907[/C][C]0.152415242770454[/C][/ROW]
[ROW][C]60[/C][C]0.8458703744699[/C][C]0.308259251060199[/C][C]0.154129625530099[/C][/ROW]
[ROW][C]61[/C][C]0.823087156952403[/C][C]0.353825686095194[/C][C]0.176912843047597[/C][/ROW]
[ROW][C]62[/C][C]0.807326510138345[/C][C]0.38534697972331[/C][C]0.192673489861655[/C][/ROW]
[ROW][C]63[/C][C]0.921226787990607[/C][C]0.157546424018785[/C][C]0.0787732120093927[/C][/ROW]
[ROW][C]64[/C][C]0.908545522996875[/C][C]0.18290895400625[/C][C]0.091454477003125[/C][/ROW]
[ROW][C]65[/C][C]0.900387006148196[/C][C]0.199225987703609[/C][C]0.0996129938518044[/C][/ROW]
[ROW][C]66[/C][C]0.88573207206811[/C][C]0.228535855863782[/C][C]0.114267927931891[/C][/ROW]
[ROW][C]67[/C][C]0.869680813015186[/C][C]0.260638373969629[/C][C]0.130319186984815[/C][/ROW]
[ROW][C]68[/C][C]0.857472164582869[/C][C]0.285055670834263[/C][C]0.142527835417131[/C][/ROW]
[ROW][C]69[/C][C]0.936140337182638[/C][C]0.127719325634724[/C][C]0.0638596628173619[/C][/ROW]
[ROW][C]70[/C][C]0.959658613043455[/C][C]0.080682773913089[/C][C]0.0403413869565445[/C][/ROW]
[ROW][C]71[/C][C]0.95402086995474[/C][C]0.0919582600905218[/C][C]0.0459791300452609[/C][/ROW]
[ROW][C]72[/C][C]0.944346409590458[/C][C]0.111307180819085[/C][C]0.0556535904095423[/C][/ROW]
[ROW][C]73[/C][C]0.934732763085101[/C][C]0.130534473829798[/C][C]0.0652672369148992[/C][/ROW]
[ROW][C]74[/C][C]0.924365818061327[/C][C]0.151268363877345[/C][C]0.0756341819386725[/C][/ROW]
[ROW][C]75[/C][C]0.931388150388896[/C][C]0.137223699222207[/C][C]0.0686118496111035[/C][/ROW]
[ROW][C]76[/C][C]0.930672437210491[/C][C]0.138655125579018[/C][C]0.0693275627895091[/C][/ROW]
[ROW][C]77[/C][C]0.948553654992296[/C][C]0.102892690015408[/C][C]0.0514463450077041[/C][/ROW]
[ROW][C]78[/C][C]0.966673428791535[/C][C]0.0666531424169296[/C][C]0.0333265712084648[/C][/ROW]
[ROW][C]79[/C][C]0.96468316979815[/C][C]0.0706336604037017[/C][C]0.0353168302018509[/C][/ROW]
[ROW][C]80[/C][C]0.977462897790374[/C][C]0.0450742044192512[/C][C]0.0225371022096256[/C][/ROW]
[ROW][C]81[/C][C]0.972220854145607[/C][C]0.0555582917087852[/C][C]0.0277791458543926[/C][/ROW]
[ROW][C]82[/C][C]0.969091956902946[/C][C]0.0618160861941087[/C][C]0.0309080430970543[/C][/ROW]
[ROW][C]83[/C][C]0.96613989013616[/C][C]0.0677202197276788[/C][C]0.0338601098638394[/C][/ROW]
[ROW][C]84[/C][C]0.963887000558967[/C][C]0.0722259988820659[/C][C]0.0361129994410329[/C][/ROW]
[ROW][C]85[/C][C]0.96517343857952[/C][C]0.069653122840961[/C][C]0.0348265614204805[/C][/ROW]
[ROW][C]86[/C][C]0.958213818470654[/C][C]0.0835723630586929[/C][C]0.0417861815293464[/C][/ROW]
[ROW][C]87[/C][C]0.95975173917313[/C][C]0.0804965216537401[/C][C]0.0402482608268701[/C][/ROW]
[ROW][C]88[/C][C]0.952368805301037[/C][C]0.0952623893979264[/C][C]0.0476311946989632[/C][/ROW]
[ROW][C]89[/C][C]0.944359332542183[/C][C]0.111281334915633[/C][C]0.0556406674578167[/C][/ROW]
[ROW][C]90[/C][C]0.93810746418174[/C][C]0.123785071636522[/C][C]0.061892535818261[/C][/ROW]
[ROW][C]91[/C][C]0.930062745153055[/C][C]0.13987450969389[/C][C]0.0699372548469452[/C][/ROW]
[ROW][C]92[/C][C]0.971098469681364[/C][C]0.057803060637272[/C][C]0.028901530318636[/C][/ROW]
[ROW][C]93[/C][C]0.969239805651897[/C][C]0.0615203886962066[/C][C]0.0307601943481033[/C][/ROW]
[ROW][C]94[/C][C]0.962875110901777[/C][C]0.0742497781964463[/C][C]0.0371248890982231[/C][/ROW]
[ROW][C]95[/C][C]0.956581424421473[/C][C]0.0868371511570545[/C][C]0.0434185755785273[/C][/ROW]
[ROW][C]96[/C][C]0.950150484350981[/C][C]0.099699031298037[/C][C]0.0498495156490185[/C][/ROW]
[ROW][C]97[/C][C]0.977276572635192[/C][C]0.0454468547296165[/C][C]0.0227234273648083[/C][/ROW]
[ROW][C]98[/C][C]0.97256213687725[/C][C]0.0548757262454997[/C][C]0.0274378631227498[/C][/ROW]
[ROW][C]99[/C][C]0.972309622257328[/C][C]0.0553807554853435[/C][C]0.0276903777426718[/C][/ROW]
[ROW][C]100[/C][C]0.96642109362805[/C][C]0.0671578127439021[/C][C]0.0335789063719511[/C][/ROW]
[ROW][C]101[/C][C]0.961036682479682[/C][C]0.0779266350406355[/C][C]0.0389633175203178[/C][/ROW]
[ROW][C]102[/C][C]0.953513392581522[/C][C]0.0929732148369563[/C][C]0.0464866074184782[/C][/ROW]
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[ROW][C]188[/C][C]0.999988582235085[/C][C]2.28355298299701e-05[/C][C]1.1417764914985e-05[/C][/ROW]
[ROW][C]189[/C][C]0.999984391392372[/C][C]3.12172152558447e-05[/C][C]1.56086076279224e-05[/C][/ROW]
[ROW][C]190[/C][C]0.99999907741938[/C][C]1.84516124073223e-06[/C][C]9.22580620366116e-07[/C][/ROW]
[ROW][C]191[/C][C]0.999998686245796[/C][C]2.62750840852016e-06[/C][C]1.31375420426008e-06[/C][/ROW]
[ROW][C]192[/C][C]0.999997918051028[/C][C]4.16389794419058e-06[/C][C]2.08194897209529e-06[/C][/ROW]
[ROW][C]193[/C][C]0.999997841719901[/C][C]4.31656019731404e-06[/C][C]2.15828009865702e-06[/C][/ROW]
[ROW][C]194[/C][C]0.999998510073184[/C][C]2.97985363251152e-06[/C][C]1.48992681625576e-06[/C][/ROW]
[ROW][C]195[/C][C]0.99999778886135[/C][C]4.42227729844352e-06[/C][C]2.21113864922176e-06[/C][/ROW]
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[ROW][C]197[/C][C]0.999997518471168[/C][C]4.96305766325082e-06[/C][C]2.48152883162541e-06[/C][/ROW]
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[ROW][C]201[/C][C]0.999991232996328[/C][C]1.75340073435312e-05[/C][C]8.7670036717656e-06[/C][/ROW]
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[ROW][C]203[/C][C]0.999997762310688[/C][C]4.47537862397769e-06[/C][C]2.23768931198885e-06[/C][/ROW]
[ROW][C]204[/C][C]0.999996517206394[/C][C]6.96558721094001e-06[/C][C]3.48279360547e-06[/C][/ROW]
[ROW][C]205[/C][C]0.999994545172639[/C][C]1.09096547229143e-05[/C][C]5.45482736145717e-06[/C][/ROW]
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[ROW][C]207[/C][C]0.999993997659681[/C][C]1.20046806376413e-05[/C][C]6.00234031882064e-06[/C][/ROW]
[ROW][C]208[/C][C]0.999993805616705[/C][C]1.23887665896464e-05[/C][C]6.19438329482318e-06[/C][/ROW]
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[ROW][C]216[/C][C]0.999996263114224[/C][C]7.47377155159929e-06[/C][C]3.73688577579965e-06[/C][/ROW]
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[ROW][C]228[/C][C]0.999987115992896[/C][C]2.57680142085289e-05[/C][C]1.28840071042645e-05[/C][/ROW]
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[ROW][C]237[/C][C]0.99996023908341[/C][C]7.95218331782095e-05[/C][C]3.97609165891047e-05[/C][/ROW]
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[ROW][C]239[/C][C]0.999940978633333[/C][C]0.000118042733333075[/C][C]5.90213666665374e-05[/C][/ROW]
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[ROW][C]241[/C][C]0.999909407643167[/C][C]0.000181184713665682[/C][C]9.0592356832841e-05[/C][/ROW]
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[ROW][C]244[/C][C]0.99975784106953[/C][C]0.000484317860940511[/C][C]0.000242158930470255[/C][/ROW]
[ROW][C]245[/C][C]0.999599135352207[/C][C]0.000801729295586258[/C][C]0.000400864647793129[/C][/ROW]
[ROW][C]246[/C][C]0.999343518488817[/C][C]0.00131296302236644[/C][C]0.000656481511183222[/C][/ROW]
[ROW][C]247[/C][C]0.999572614171683[/C][C]0.00085477165663383[/C][C]0.000427385828316915[/C][/ROW]
[ROW][C]248[/C][C]0.999326248852174[/C][C]0.00134750229565135[/C][C]0.000673751147825675[/C][/ROW]
[ROW][C]249[/C][C]0.999518850733496[/C][C]0.00096229853300758[/C][C]0.00048114926650379[/C][/ROW]
[ROW][C]250[/C][C]0.99964016462674[/C][C]0.000719670746518345[/C][C]0.000359835373259173[/C][/ROW]
[ROW][C]251[/C][C]0.999460614073891[/C][C]0.00107877185221729[/C][C]0.000539385926108643[/C][/ROW]
[ROW][C]252[/C][C]0.999117907308055[/C][C]0.00176418538388983[/C][C]0.000882092691944915[/C][/ROW]
[ROW][C]253[/C][C]0.99922028266735[/C][C]0.00155943466530121[/C][C]0.000779717332650607[/C][/ROW]
[ROW][C]254[/C][C]0.99868812275099[/C][C]0.00262375449801967[/C][C]0.00131187724900984[/C][/ROW]
[ROW][C]255[/C][C]0.997879290954467[/C][C]0.00424141809106692[/C][C]0.00212070904553346[/C][/ROW]
[ROW][C]256[/C][C]0.997483550916494[/C][C]0.00503289816701152[/C][C]0.00251644908350576[/C][/ROW]
[ROW][C]257[/C][C]0.99613056311147[/C][C]0.00773887377706127[/C][C]0.00386943688853063[/C][/ROW]
[ROW][C]258[/C][C]0.993884682695222[/C][C]0.012230634609556[/C][C]0.00611531730477799[/C][/ROW]
[ROW][C]259[/C][C]0.99402244860241[/C][C]0.0119551027951783[/C][C]0.00597755139758916[/C][/ROW]
[ROW][C]260[/C][C]0.990567241087295[/C][C]0.0188655178254104[/C][C]0.0094327589127052[/C][/ROW]
[ROW][C]261[/C][C]0.996185534982398[/C][C]0.0076289300352039[/C][C]0.00381446501760195[/C][/ROW]
[ROW][C]262[/C][C]0.993787314591158[/C][C]0.0124253708176845[/C][C]0.00621268540884223[/C][/ROW]
[ROW][C]263[/C][C]0.989810775002033[/C][C]0.020378449995935[/C][C]0.0101892249979675[/C][/ROW]
[ROW][C]264[/C][C]0.984333558678218[/C][C]0.0313328826435634[/C][C]0.0156664413217817[/C][/ROW]
[ROW][C]265[/C][C]0.97526338088877[/C][C]0.0494732382224603[/C][C]0.0247366191112302[/C][/ROW]
[ROW][C]266[/C][C]0.963427968585903[/C][C]0.0731440628281941[/C][C]0.036572031414097[/C][/ROW]
[ROW][C]267[/C][C]0.95240300656867[/C][C]0.0951939868626576[/C][C]0.0475969934313288[/C][/ROW]
[ROW][C]268[/C][C]0.931906683033295[/C][C]0.13618663393341[/C][C]0.0680933169667051[/C][/ROW]
[ROW][C]269[/C][C]0.899729591508171[/C][C]0.200540816983657[/C][C]0.100270408491829[/C][/ROW]
[ROW][C]270[/C][C]0.867509756139958[/C][C]0.264980487720083[/C][C]0.132490243860042[/C][/ROW]
[ROW][C]271[/C][C]0.815049243371534[/C][C]0.369901513256933[/C][C]0.184950756628466[/C][/ROW]
[ROW][C]272[/C][C]0.776030342046189[/C][C]0.447939315907622[/C][C]0.223969657953811[/C][/ROW]
[ROW][C]273[/C][C]0.87861326813586[/C][C]0.242773463728282[/C][C]0.121386731864141[/C][/ROW]
[ROW][C]274[/C][C]0.819607821843886[/C][C]0.360784356312228[/C][C]0.180392178156114[/C][/ROW]
[ROW][C]275[/C][C]0.744195948894663[/C][C]0.511608102210673[/C][C]0.255804051105337[/C][/ROW]
[ROW][C]276[/C][C]0.805802756369515[/C][C]0.38839448726097[/C][C]0.194197243630485[/C][/ROW]
[ROW][C]277[/C][C]0.711972673403062[/C][C]0.576054653193876[/C][C]0.288027326596938[/C][/ROW]
[ROW][C]278[/C][C]0.60554491599699[/C][C]0.78891016800602[/C][C]0.39445508400301[/C][/ROW]
[ROW][C]279[/C][C]0.459684873094118[/C][C]0.919369746188236[/C][C]0.540315126905882[/C][/ROW]
[ROW][C]280[/C][C]0.316920469725388[/C][C]0.633840939450776[/C][C]0.683079530274612[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156382&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156382&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.7682415521621380.4635168956757240.231758447837862
100.6932868358156420.6134263283687170.306713164184358
110.5684541764104930.8630916471790140.431545823589507
120.620748188553920.7585036228921590.37925181144608
130.9315325895555490.1369348208889020.0684674104444511
140.9276806374228090.1446387251543830.0723193625771913
150.9285138380073860.1429723239852280.071486161992614
160.9189587418620440.1620825162759110.0810412581379556
170.9369113058881110.1261773882237770.0630886941118886
180.9384062716955540.1231874566088920.0615937283044458
190.9126035828098830.1747928343802350.0873964171901173
200.9358058020487980.1283883959024050.0641941979512024
210.909862419543450.18027516091310.09013758045655
220.8792162870597950.2415674258804110.120783712940205
230.842998738185810.3140025236283790.15700126181419
240.8033768876285430.3932462247429140.196623112371457
250.8056749033586650.388650193282670.194325096641335
260.7751314033460590.4497371933078820.224868596653941
270.7273784673564310.5452430652871380.272621532643569
280.6747928981658490.6504142036683030.325207101834151
290.6287849471783980.7424301056432040.371215052821602
300.5751162668775220.8497674662449560.424883733122478
310.5219293861661580.9561412276676850.478070613833842
320.4629384905371450.925876981074290.537061509462855
330.7043786775168050.5912426449663910.295621322483195
340.7412595546689920.5174808906620160.258740445331008
350.7387168364492640.5225663271014730.261283163550736
360.7073005661347240.5853988677305510.292699433865276
370.781724159775330.436551680449340.21827584022467
380.7520126281647340.4959747436705320.247987371835266
390.7264506123864360.5470987752271280.273549387613564
400.8993208135619040.2013583728761920.100679186438096
410.8768025149371370.2463949701257250.123197485062863
420.8816057135714020.2367885728571960.118394286428598
430.8694139230619370.2611721538761250.130586076938063
440.8447775412850930.3104449174298140.155222458714907
450.8254561088528960.3490877822942080.174543891147104
460.852731204121230.2945375917575390.14726879587877
470.8366555223860620.3266889552278770.163344477613938
480.806685989690780.3866280206184420.193314010309221
490.797581364676950.40483727064610.20241863532305
500.9056908666206820.1886182667586370.0943091333793184
510.8882335877449740.2235328245100520.111766412255026
520.8891777358564530.2216445282870950.110822264143547
530.8941665122378350.211666975524330.105833487762165
540.8760519323147810.2478961353704380.123948067685219
550.8597695951342830.2804608097314340.140230404865717
560.8367210559802430.3265578880395150.163278944019757
570.8875371603460810.2249256793078370.112462839653919
580.8695325941961440.2609348116077120.130467405803856
590.8475847572295460.3048304855409070.152415242770454
600.84587037446990.3082592510601990.154129625530099
610.8230871569524030.3538256860951940.176912843047597
620.8073265101383450.385346979723310.192673489861655
630.9212267879906070.1575464240187850.0787732120093927
640.9085455229968750.182908954006250.091454477003125
650.9003870061481960.1992259877036090.0996129938518044
660.885732072068110.2285358558637820.114267927931891
670.8696808130151860.2606383739696290.130319186984815
680.8574721645828690.2850556708342630.142527835417131
690.9361403371826380.1277193256347240.0638596628173619
700.9596586130434550.0806827739130890.0403413869565445
710.954020869954740.09195826009052180.0459791300452609
720.9443464095904580.1113071808190850.0556535904095423
730.9347327630851010.1305344738297980.0652672369148992
740.9243658180613270.1512683638773450.0756341819386725
750.9313881503888960.1372236992222070.0686118496111035
760.9306724372104910.1386551255790180.0693275627895091
770.9485536549922960.1028926900154080.0514463450077041
780.9666734287915350.06665314241692960.0333265712084648
790.964683169798150.07063366040370170.0353168302018509
800.9774628977903740.04507420441925120.0225371022096256
810.9722208541456070.05555829170878520.0277791458543926
820.9690919569029460.06181608619410870.0309080430970543
830.966139890136160.06772021972767880.0338601098638394
840.9638870005589670.07222599888206590.0361129994410329
850.965173438579520.0696531228409610.0348265614204805
860.9582138184706540.08357236305869290.0417861815293464
870.959751739173130.08049652165374010.0402482608268701
880.9523688053010370.09526238939792640.0476311946989632
890.9443593325421830.1112813349156330.0556406674578167
900.938107464181740.1237850716365220.061892535818261
910.9300627451530550.139874509693890.0699372548469452
920.9710984696813640.0578030606372720.028901530318636
930.9692398056518970.06152038869620660.0307601943481033
940.9628751109017770.07424977819644630.0371248890982231
950.9565814244214730.08683715115705450.0434185755785273
960.9501504843509810.0996990312980370.0498495156490185
970.9772765726351920.04544685472961650.0227234273648083
980.972562136877250.05487572624549970.0274378631227498
990.9723096222573280.05538075548534350.0276903777426718
1000.966421093628050.06715781274390210.0335789063719511
1010.9610366824796820.07792663504063550.0389633175203178
1020.9535133925815220.09297321483695630.0464866074184782
1030.9458485095213950.1083029809572110.0541514904786054
1040.9373677863359770.1252644273280470.0626322136640233
1050.9328654862839460.1342690274321070.0671345137160535
1060.9458226429784470.1083547140431060.0541773570215531
1070.9805509912868260.03889801742634740.0194490087131737
1080.9773625740237430.04527485195251450.0226374259762572
1090.9962685383710050.007462923257989820.00373146162899491
1100.9963938882870440.00721222342591180.0036061117129559
1110.9960561448229920.007887710354016850.00394385517700843
1120.9975586908267150.004882618346569540.00244130917328477
1130.9969584375141170.00608312497176520.0030415624858826
1140.996964073770060.006071852459880790.0030359262299404
1150.9962906406702170.007418718659566630.00370935932978332
1160.9954286047347770.00914279053044520.0045713952652226
1170.9954719731859560.009056053628088170.00452802681404409
1180.9963223620790690.007355275841862130.00367763792093106
1190.9974139585201980.005172082959603260.00258604147980163
1200.9969755945004080.006048810999184630.00302440549959231
1210.9964232927359360.007153414528128150.00357670726406408
1220.9961583769926040.007683246014791760.00384162300739588
1230.9954032058563290.009193588287342760.00459679414367138
1240.9945233480648480.01095330387030330.00547665193515163
1250.9932384755566260.01352304888674710.00676152444337356
1260.9944505753682360.01109884926352810.00554942463176406
1270.9950606932053090.009878613589382580.00493930679469129
1280.9938159003722750.01236819925544920.00618409962772459
1290.9929522643761350.01409547124773040.00704773562386522
1300.9964439788357810.007112042328438170.00355602116421908
1310.995962492766340.00807501446731960.0040375072336598
1320.9951097909185850.00978041816282920.0048902090814146
1330.994960211012780.01007957797444170.00503978898722086
1340.995076999258760.009846001482478220.00492300074123911
1350.9981374704123880.00372505917522480.0018625295876124
1360.9981973611589480.003605277682104530.00180263884105226
1370.999130324341970.001739351316059320.000869675658029662
1380.9992144491958050.001571101608390840.000785550804195422
1390.9990008466315720.001998306736856060.000999153368428032
1400.998961060788110.00207787842377930.00103893921188965
1410.9986635081570160.002672983685967970.00133649184298399
1420.9985845636163730.002830872767254160.00141543638362708
1430.998320076185290.003359847629419750.00167992381470987
1440.9978290977815140.004341804436971130.00217090221848557
1450.9983661463358960.003267707328207750.00163385366410387
1460.9983480147373480.00330397052530410.00165198526265205
1470.99940078932710.001198421345798430.000599210672899217
1480.999207428038990.00158514392201840.000792571961009199
1490.9991525904207840.001694819158432470.000847409579216234
1500.999421266357790.001157467284421270.000578733642210635
1510.9995382383779970.0009235232440055480.000461761622002774
1520.999946247759770.000107504480458945.37522402294698e-05
1530.9999454133541480.0001091732917043765.4586645852188e-05
1540.999923773435980.0001524531280404977.62265640202486e-05
1550.9998929541005210.0002140917989574010.000107045899478701
1560.9999075815643980.0001848368712034649.24184356017318e-05
1570.9998974578085860.0002050843828272370.000102542191413619
1580.9998749921857680.0002500156284644150.000125007814232207
1590.999907532026020.0001849359479605319.24679739802657e-05
1600.9998704737953420.0002590524093158510.000129526204657926
1610.9998235199100030.0003529601799942860.000176480089997143
1620.9998381869001670.0003236261996665660.000161813099833283
1630.9998169563953240.0003660872093522440.000183043604676122
1640.9997876769889610.0004246460220785080.000212323011039254
1650.9998464810949630.0003070378100736040.000153518905036802
1660.9998312704984560.0003374590030873530.000168729501543676
1670.9998670837358350.0002658325283300910.000132916264165046
1680.9998600644437680.0002798711124636920.000139935556231846
1690.999809540782680.0003809184346405750.000190459217320287
1700.9999176116696540.0001647766606925788.23883303462892e-05
1710.9999131877096110.0001736245807776288.68122903888138e-05
1720.9998802118378850.000239576324229350.000119788162114675
1730.9998366060689460.0003267878621072660.000163393931053633
1740.9997780437496670.0004439125006668410.00022195625033342
1750.999827586839160.0003448263216790390.000172413160839519
1760.9998360904882580.000327819023483010.000163909511741505
1770.9997869700081120.0004260599837761970.000213029991888098
1780.9997179048299450.0005641903401105310.000282095170055266
1790.9996245355592670.0007509288814664520.000375464440733226
1800.9996328014188820.0007343971622360160.000367198581118008
1810.9998176448754320.0003647102491351090.000182355124567555
1820.9997739463727940.0004521072544114110.000226053627205705
1830.9998892748837240.0002214502325517850.000110725116275893
1840.9998836588512430.0002326822975147650.000116341148757383
1850.999920120789260.0001597584214820317.98792107410156e-05
1860.9999648535465467.02929069075695e-053.51464534537848e-05
1870.9999734021284875.31957430253233e-052.65978715126616e-05
1880.9999885822350852.28355298299701e-051.1417764914985e-05
1890.9999843913923723.12172152558447e-051.56086076279224e-05
1900.999999077419381.84516124073223e-069.22580620366116e-07
1910.9999986862457962.62750840852016e-061.31375420426008e-06
1920.9999979180510284.16389794419058e-062.08194897209529e-06
1930.9999978417199014.31656019731404e-062.15828009865702e-06
1940.9999985100731842.97985363251152e-061.48992681625576e-06
1950.999997788861354.42227729844352e-062.21113864922176e-06
1960.9999980235320723.95293585583925e-061.97646792791962e-06
1970.9999975184711684.96305766325082e-062.48152883162541e-06
1980.999997302357545.39528492154523e-062.69764246077262e-06
1990.999996070739017.8585219783573e-063.92926098917865e-06
2000.999994406934051.11861319005253e-055.59306595026267e-06
2010.9999912329963281.75340073435312e-058.7670036717656e-06
2020.9999982721134143.45577317287617e-061.72788658643809e-06
2030.9999977623106884.47537862397769e-062.23768931198885e-06
2040.9999965172063946.96558721094001e-063.48279360547e-06
2050.9999945451726391.09096547229143e-055.45482736145717e-06
2060.9999961874087567.62518248827824e-063.81259124413912e-06
2070.9999939976596811.20046806376413e-056.00234031882064e-06
2080.9999938056167051.23887665896464e-056.19438329482318e-06
2090.9999901762231131.96475537734814e-059.8237768867407e-06
2100.9999896425514432.07148971138024e-051.03574485569012e-05
2110.9999938796596811.22406806370191e-056.12034031850957e-06
2120.9999903735690931.92528618143381e-059.62643090716904e-06
2130.9999887275514412.2544897117387e-051.12724485586935e-05
2140.9999827585921133.44828157744918e-051.72414078872459e-05
2150.9999878335463142.43329073720029e-051.21664536860014e-05
2160.9999962631142247.47377155159929e-063.73688577579965e-06
2170.9999940866389461.18267221071142e-055.91336105355708e-06
2180.999990892096821.82158063604578e-059.10790318022888e-06
2190.9999864255899522.71488200956426e-051.35744100478213e-05
2200.9999806146638463.87706723082613e-051.93853361541306e-05
2210.9999773618345984.5276330804151e-052.26381654020755e-05
2220.9999655933971866.88132056278894e-053.44066028139447e-05
2230.9999483861378920.0001032277242164745.16138621082372e-05
2240.9999311541487020.0001376917025961756.88458512980873e-05
2250.9999598829065588.02341868848982e-054.01170934424491e-05
2260.999982731960643.45360787190732e-051.72680393595366e-05
2270.9999924317863071.5136427385107e-057.5682136925535e-06
2280.9999871159928962.57680142085289e-051.28840071042645e-05
2290.9999795761371644.0847725671529e-052.04238628357645e-05
2300.9999750739264764.98521470475169e-052.49260735237584e-05
2310.9999886675138732.26649722547494e-051.13324861273747e-05
2320.9999834609575743.30780848525874e-051.65390424262937e-05
2330.9999803355375573.93289248856931e-051.96644624428466e-05
2340.999979334041974.13319160605184e-052.06659580302592e-05
2350.9999786733420644.26533158728127e-052.13266579364064e-05
2360.999974587531825.08249363612322e-052.54124681806161e-05
2370.999960239083417.95218331782095e-053.97609165891047e-05
2380.9999618894391327.6221121735417e-053.81105608677085e-05
2390.9999409786333330.0001180427333330755.90213666665374e-05
2400.9999443414198970.0001113171602055175.56585801027586e-05
2410.9999094076431670.0001811847136656829.0592356832841e-05
2420.9998728756759580.0002542486480832830.000127124324041641
2430.9998432104288620.0003135791422759390.00015678957113797
2440.999757841069530.0004843178609405110.000242158930470255
2450.9995991353522070.0008017292955862580.000400864647793129
2460.9993435184888170.001312963022366440.000656481511183222
2470.9995726141716830.000854771656633830.000427385828316915
2480.9993262488521740.001347502295651350.000673751147825675
2490.9995188507334960.000962298533007580.00048114926650379
2500.999640164626740.0007196707465183450.000359835373259173
2510.9994606140738910.001078771852217290.000539385926108643
2520.9991179073080550.001764185383889830.000882092691944915
2530.999220282667350.001559434665301210.000779717332650607
2540.998688122750990.002623754498019670.00131187724900984
2550.9978792909544670.004241418091066920.00212070904553346
2560.9974835509164940.005032898167011520.00251644908350576
2570.996130563111470.007738873777061270.00386943688853063
2580.9938846826952220.0122306346095560.00611531730477799
2590.994022448602410.01195510279517830.00597755139758916
2600.9905672410872950.01886551782541040.0094327589127052
2610.9961855349823980.00762893003520390.00381446501760195
2620.9937873145911580.01242537081768450.00621268540884223
2630.9898107750020330.0203784499959350.0101892249979675
2640.9843335586782180.03133288264356340.0156664413217817
2650.975263380888770.04947323822246030.0247366191112302
2660.9634279685859030.07314406282819410.036572031414097
2670.952403006568670.09519398686265760.0475969934313288
2680.9319066830332950.136186633933410.0680933169667051
2690.8997295915081710.2005408169836570.100270408491829
2700.8675097561399580.2649804877200830.132490243860042
2710.8150492433715340.3699015132569330.184950756628466
2720.7760303420461890.4479393159076220.223969657953811
2730.878613268135860.2427734637282820.121386731864141
2740.8196078218438860.3607843563122280.180392178156114
2750.7441959488946630.5116081022106730.255804051105337
2760.8058027563695150.388394487260970.194197243630485
2770.7119726734030620.5760546531938760.288027326596938
2780.605544915996990.788910168006020.39445508400301
2790.4596848730941180.9193697461882360.540315126905882
2800.3169204697253880.6338409394507760.683079530274612






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1440.529411764705882NOK
5% type I error level1610.591911764705882NOK
10% type I error level1850.68014705882353NOK

\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 & 144 & 0.529411764705882 & NOK \tabularnewline
5% type I error level & 161 & 0.591911764705882 & NOK \tabularnewline
10% type I error level & 185 & 0.68014705882353 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156382&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]144[/C][C]0.529411764705882[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]161[/C][C]0.591911764705882[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]185[/C][C]0.68014705882353[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156382&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156382&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1440.529411764705882NOK
5% type I error level1610.591911764705882NOK
10% type I error level1850.68014705882353NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 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')
}