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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 computationWed, 19 Dec 2012 14:41:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/19/t13559461524lgc284wy7m85fn.htm/, Retrieved Fri, 03 May 2024 21:54:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202342, Retrieved Fri, 03 May 2024 21:54:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Classical Decomposition] [paper deel 4: CD CO2] [2012-11-27 15:36:59] [d78b9afa8f7e4cb23f8a65a6f0918ac0]
- RMPD    [Multiple Regression] [paper deel drie m...] [2012-12-19 19:41:38] [4e0a07d67ff6ab1ee99ce2372e43edac] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79	210907	1418	56
58	120982	869	56
60	176508	1530	54
108	179321	2172	89
49	123185	901	40
0	52746	463	25
121	385534	3201	92
1	33170	371	18
20	101645	1192	63
43	149061	1583	44
69	165446	1439	33
78	237213	1764	84
86	173326	1495	88
44	133131	1373	55
104	258873	2187	60
63	180083	1491	66
158	324799	4041	154
102	230964	1706	53
77	236785	2152	119
82	135473	1036	41
115	202925	1882	61
101	215147	1929	58
80	344297	2242	75
50	153935	1220	33
83	132943	1289	40
123	174724	2515	92
73	174415	2147	100
81	225548	2352	112
105	223632	1638	73
47	124817	1222	40
105	221698	1812	45
94	210767	1677	60
44	170266	1579	62
114	260561	1731	75
38	84853	807	31
107	294424	2452	77
30	101011	829	34
71	215641	1940	46
84	325107	2662	99
0	7176	186	17
59	167542	1499	66
33	106408	865	30
42	96560	1793	76
96	265769	2527	146
106	269651	2747	67
56	149112	1324	56
57	175824	2702	107
59	152871	1383	58
39	111665	1179	34
34	116408	2099	61
76	362301	4308	119
20	78800	918	42
91	183167	1831	66
115	277965	3373	89
85	150629	1713	44
76	168809	1438	66
8	24188	496	24
79	329267	2253	259
21	65029	744	17
30	101097	1161	64
76	218946	2352	41
101	244052	2144	68
94	341570	4691	168
27	103597	1112	43
92	233328	2694	132
123	256462	1973	105
75	206161	1769	71
128	311473	3148	112
105	235800	2474	94
55	177939	2084	82
56	207176	1954	70
41	196553	1226	57
72	174184	1389	53
67	143246	1496	103
75	187559	2269	121
114	187681	1833	62
118	119016	1268	52
77	182192	1943	52
22	73566	893	32
66	194979	1762	62
69	167488	1403	45
105	143756	1425	46
116	275541	1857	63
88	243199	1840	75
73	182999	1502	88
99	135649	1441	46
62	152299	1420	53
53	120221	1416	37
118	346485	2970	90
30	145790	1317	63
100	193339	1644	78
49	80953	870	25
24	122774	1654	45
67	130585	1054	46
46	112611	937	41
57	286468	3004	144
75	241066	2008	82
135	148446	2547	91
68	204713	1885	71
124	182079	1626	63
33	140344	1468	53
98	220516	2445	62
58	243060	1964	63
68	162765	1381	32
81	182613	1369	39
131	232138	1659	62
110	265318	2888	117
37	85574	1290	34
130	310839	2845	92
93	225060	1982	93
118	232317	1904	54
39	144966	1391	144
13	43287	602	14
74	155754	1743	61
81	164709	1559	109
109	201940	2014	38
151	235454	2143	73
51	220801	2146	75
28	99466	874	50
40	92661	1590	61
56	133328	1590	55
27	61361	1210	77
37	125930	2072	75
83	100750	1281	72
54	224549	1401	50
27	82316	834	32
28	102010	1105	53
59	101523	1272	42
133	243511	1944	71
12	22938	391	10
0	41566	761	35
106	152474	1605	65
23	61857	530	25
44	99923	1988	66
71	132487	1386	41
116	317394	2395	86
4	21054	387	16
62	209641	1742	42
12	22648	620	19
18	31414	449	19
14	46698	800	45
60	131698	1684	65
7	91735	1050	35
98	244749	2699	95
64	184510	1606	49
29	79863	1502	37
32	128423	1204	64
25	97839	1138	38
16	38214	568	34
48	151101	1459	32
100	272458	2158	65
46	172494	1111	52
45	108043	1421	62
129	328107	2833	65
130	250579	1955	83
136	351067	2922	95
59	158015	1002	29
25	98866	1060	18
32	85439	956	33
63	229242	2186	247
95	351619	3604	139
14	84207	1035	29
36	120445	1417	118
113	324598	3261	110
47	131069	1587	67
92	204271	1424	42
70	165543	1701	65
19	141722	1249	94
50	116048	946	64
41	250047	1926	81
91	299775	3352	95
111	195838	1641	67
41	173260	2035	63
120	254488	2312	83
135	104389	1369	45
27	136084	1577	30
87	199476	2201	70
25	92499	961	32
131	224330	1900	83
45	135781	1254	31
29	74408	1335	67
58	81240	1597	66
4	14688	207	10
47	181633	1645	70
109	271856	2429	103
7	7199	151	5
12	46660	474	20
0	17547	141	5
37	133368	1639	36
37	95227	872	34
46	152601	1318	48
15	98146	1018	40
42	79619	1383	43
7	59194	1314	31
54	139942	1335	42
54	118612	1403	46
14	72880	910	33
16	65475	616	18
33	99643	1407	55
32	71965	771	35
21	77272	766	59
15	49289	473	19
38	135131	1376	66
22	108446	1232	60
28	89746	1521	36
10	44296	572	25
31	77648	1059	47
32	181528	1544	54
32	134019	1230	53
43	124064	1206	40
27	92630	1205	40
37	121848	1255	39
20	52915	613	14
32	81872	721	45
0	58981	1109	36
5	53515	740	28
26	60812	1126	44
10	56375	728	30
27	65490	689	22
11	80949	592	17
29	76302	995	31
25	104011	1613	55
55	98104	2048	54
23	67989	705	21
5	30989	301	14
43	135458	1803	81
23	73504	799	35
34	63123	861	43
36	61254	1186	46
35	74914	1451	30
0	31774	628	23
37	81437	1161	38
28	87186	1463	54
16	50090	742	20
26	65745	979	53
38	56653	675	45
23	158399	1241	39
22	46455	676	20
30	73624	1049	24
16	38395	620	31
18	91899	1081	35
28	139526	1688	151
32	52164	736	52
21	51567	617	30
23	70551	812	31
29	84856	1051	29
50	102538	1656	57
12	86678	705	40
21	85709	945	44
18	34662	554	25
27	150580	1597	77
41	99611	982	35
13	19349	222	11
12	99373	1212	63
21	86230	1143	44
8	30837	435	19
26	31706	532	13
27	89806	882	42
13	62088	608	38
16	40151	459	29
2	27634	578	20
42	76990	826	27
5	37460	509	20
37	54157	717	19
17	49862	637	37
38	84337	857	26
37	64175	830	42
29	59382	652	49
32	119308	707	30
35	76702	954	49
17	103425	1461	67
20	70344	672	28
7	43410	778	19
46	104838	1141	49
24	62215	680	27
40	69304	1090	30
3	53117	616	22
10	19764	285	12
37	86680	1145	31
17	84105	733	20
28	77945	888	20
19	89113	849	39
29	91005	1182	29
8	40248	528	16
10	64187	642	27
15	50857	947	21
15	56613	819	19
28	62792	757	35
17	72535	894	14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 15 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202342&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202342&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202342&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 time15 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
blogged_computations[t] = + 11.4761421358643 + 0.000311007760987788time_in_rfc[t] + 0.00808081946642202pageviews[t] -0.107629510618988logins[t] -0.0527843578558913t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
blogged_computations[t] =  +  11.4761421358643 +  0.000311007760987788time_in_rfc[t] +  0.00808081946642202pageviews[t] -0.107629510618988logins[t] -0.0527843578558913t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202342&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]blogged_computations[t] =  +  11.4761421358643 +  0.000311007760987788time_in_rfc[t] +  0.00808081946642202pageviews[t] -0.107629510618988logins[t] -0.0527843578558913t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202342&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202342&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
blogged_computations[t] = + 11.4761421358643 + 0.000311007760987788time_in_rfc[t] + 0.00808081946642202pageviews[t] -0.107629510618988logins[t] -0.0527843578558913t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)11.47614213586434.4737762.56520.0108250.005413
time_in_rfc0.0003110077609877883.4e-059.177800
pageviews0.008080819466422020.0038752.08550.037920.01896
logins-0.1076295106189880.054285-1.98270.0483650.024183
t-0.05278435785589130.016802-3.14160.0018580.000929

\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) & 11.4761421358643 & 4.473776 & 2.5652 & 0.010825 & 0.005413 \tabularnewline
time_in_rfc & 0.000311007760987788 & 3.4e-05 & 9.1778 & 0 & 0 \tabularnewline
pageviews & 0.00808081946642202 & 0.003875 & 2.0855 & 0.03792 & 0.01896 \tabularnewline
logins & -0.107629510618988 & 0.054285 & -1.9827 & 0.048365 & 0.024183 \tabularnewline
t & -0.0527843578558913 & 0.016802 & -3.1416 & 0.001858 & 0.000929 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202342&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]11.4761421358643[/C][C]4.473776[/C][C]2.5652[/C][C]0.010825[/C][C]0.005413[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000311007760987788[/C][C]3.4e-05[/C][C]9.1778[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]pageviews[/C][C]0.00808081946642202[/C][C]0.003875[/C][C]2.0855[/C][C]0.03792[/C][C]0.01896[/C][/ROW]
[ROW][C]logins[/C][C]-0.107629510618988[/C][C]0.054285[/C][C]-1.9827[/C][C]0.048365[/C][C]0.024183[/C][/ROW]
[ROW][C]t[/C][C]-0.0527843578558913[/C][C]0.016802[/C][C]-3.1416[/C][C]0.001858[/C][C]0.000929[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202342&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202342&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)11.47614213586434.4737762.56520.0108250.005413
time_in_rfc0.0003110077609877883.4e-059.177800
pageviews0.008080819466422020.0038752.08550.037920.01896
logins-0.1076295106189880.054285-1.98270.0483650.024183
t-0.05278435785589130.016802-3.14160.0018580.000929






Multiple Linear Regression - Regression Statistics
Multiple R0.840312806570096
R-squared0.706125612885711
Adjusted R-squared0.701986537010862
F-TEST (value)170.599823302695
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20.143736884472
Sum Squared Residuals115238.718530518

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.840312806570096 \tabularnewline
R-squared & 0.706125612885711 \tabularnewline
Adjusted R-squared & 0.701986537010862 \tabularnewline
F-TEST (value) & 170.599823302695 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 20.143736884472 \tabularnewline
Sum Squared Residuals & 115238.718530518 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202342&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.840312806570096[/C][/ROW]
[ROW][C]R-squared[/C][C]0.706125612885711[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.701986537010862[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]170.599823302695[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]20.143736884472[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]115238.718530518[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202342&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202342&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.840312806570096
R-squared0.706125612885711
Adjusted R-squared0.701986537010862
F-TEST (value)170.599823302695
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20.143736884472
Sum Squared Residuals115238.718530518






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17982.448421033383-3.44842103338299
25849.99189388163458.00810611836553
36072.7648071489295-12.7648071489295
410875.007740848510632.9922591514894
54952.4993492983523-3.49934929835225
6028.6145329972695-28.6145329972695
7121146.975505890609-25.975505890609
8122.4306475358829-21.4306475358829
92045.4651444157438-25.4651444157438
104365.3636651660167-22.3636651660167
116970.4270295855898-1.42702958558979
127889.8315004955633-11.8315004955633
138667.305104832537118.6948951674629
144457.3172773973001-13.3172773973001
15104102.4108704141431.58912958585668
166371.5837571557159-8.58375715571592
17158127.67346464187430.326535358126
1810290.439134150151411.5608658498486
197788.6972237501764-11.6972237501764
208256.512528414879825.4874715851202
2111582.121622607385532.8783773926145
2210186.572662151101114.4273378488989
2380127.386124937285-47.3861249372854
245064.3911231335863-14.3911231335863
258357.61383382592525.386166174075
2612374.865614843545948.1343851564541
277370.88195143894962.11804856105043
288187.0969407868709-6.09694078687092
2910584.876111374077720.1238886259223
304754.2812480666085-7.2812480666085
3110588.588742533104616.4112574668954
329482.430979052639411.5690209473606
334468.7748900380697-24.7748900380697
3411496.633652379455517.3663476205445
353839.2033376342188-1.20333763421882
36107112.670751288126-5.67075128812551
373043.977921816952-13.977921816952
387187.2621934008934-16.2621934008933
3984121.384172199277-37.384172199277
40011.2698902547087-11.2698902547087
415966.4284464345022-7.42844643450216
423346.1139364569908-13.1139364569908
434245.5463906452934-3.54639064529336
449696.5161742614447-0.516174261444746
45106107.951233653256-1.95123365325638
465660.0948033097838-4.09480330978379
475773.9959224465948-16.9959224465948
485961.419822094906-2.41982209490603
493949.4862730214929-10.486273021493
503455.4369555963977-21.4369555963977
5176143.466821196537-67.466821196537
522036.1365199173736-16.1365199173736
539173.337362468517817.6626375314822
54115112.7526367097682.24736329023174
558564.526535762365320.4734642376347
567665.537797912383610.4622020876164
57817.4150676613407-9.4150676613407
5879101.14928482492-22.1492848249195
592132.7688167141368-11.7688167141368
603042.244574997994-12.244574997994
617690.9434789935333-14.9434789935333
6210194.11204824730846.88795175269163
6394134.207014844538-40.2070148445377
642744.6752165381839-17.6752165381839
659288.17460997182453.8253900281755
6612392.396405108082530.6035948919175
677578.7105355546754-3.71053555467539
68128118.1412406307839.85875936921709
6910591.044424846471513.9555751535285
705571.1364549656244-16.1364549656244
715680.4176521125615-24.4176521125615
724172.5773793762239-31.577379376224
737267.3153540283354.68464597166504
746753.123783712996613.8762162870034
757571.1618285241953.838171475805
7611473.9738909523440.0261090476601
7711849.07639079391968.923609206081
787774.12638588406252.87361411593751
792233.9578022537837-11.9578022537837
806675.4587499784893-9.45874997848929
816965.78473875539543.21526124460459
8210558.421266731419646.5787332685804
83116101.01585248431114.9841475156891
848889.475527062231-1.47552706223096
857366.56957487521276.43042512478729
869955.818082493130843.1819175068692
876260.02047357259381.97952642740619
885351.68093114980981.31906885019024
89118128.851236212108-10.8512362121083
903055.9291514715253-25.9291514715253
9110071.692460447112928.3075395528871
924936.136567658679212.8634323413208
932453.2732111223887-29.2732111223887
946750.693587195136216.3064128048638
954644.64344101680941.35655898319065
9657104.278747204346-47.2787472043459
977588.7301219519434-13.7301219519434
9813563.258694868229171.7413051317709
996877.5084719234815-9.5084719234815
10012469.184441746576654.8155582534234
1013355.9512741143906-22.9512741143906
1029887.758898993571110.2411010064289
1035890.7229699254559-32.7229699254559
1046864.32321447935023.67678552064985
1058169.592935753649911.4070642463501
10613184.810769659739946.1892303402601
10711099.088926851647110.9110731483529
1083739.1544633768358-2.15446337683582
109130115.48400495227914.515995047721
1109381.671909154510411.3280908454896
11111887.443355113902530.5566448860975
1123946.3916154840189-7.39161548401888
1131322.3319428181472-9.33194281814718
1147461.418896327412.5811036726
1158157.498099177656623.5019008223434
11610980.342912880307328.6570871196927
11715187.988635463763.0113645363
1185183.1876378212513-32.1876378212513
1192837.810662188128-9.810662188128
1204040.2434121378995-0.243412137899495
1215653.48415745984792.51584254015207
1222725.61051693612581.38948306387424
1233752.8201180987841-15.8201180987841
1248338.867118653172944.1328813468271
1255480.6543316674326-26.6543316674326
1262733.7214869946811-6.7214869946811
1272839.7233718341203-11.7233718341203
1285942.052548164364716.9474518356353
12913388.468188647127944.5318113528721
1301213.8313769413174-1.83137694131743
131019.8712105922435-19.8712105922435
13210657.903001301111848.0969986988882
1332325.2859261641813-2.28592616418132
1344444.4409880827514-0.440988082751355
1357152.341944900390518.6580550996095
136116113.1068914672692.89310853273107
137412.1978474730456-8.19784747304557
1386278.9482268375019-16.9482268375019
1391214.1479675321677-2.14796753216769
1401815.43965707837262.56034292162741
1411420.1783156960745-6.17831569607449
1426051.55204521811798.4479547818821
143737.1761034847651-30.1761034847651
1449891.57936132968536.42063867031471
1456468.9104022693602-4.91040226936021
1462936.7627376503352-7.76273765033519
1473246.4984091783399-14.4984091783399
1482539.1987966497433-14.1987966497433
1491616.4266254896059-0.426625489605924
1504858.8978434121985-10.8978434121985
15110098.684746861141.31525313885997
1524660.4809483406038-14.4809483406038
1534541.81216170772493.18783829227506
154129121.2882178186177.71178218138334
15513088.091333084239241.9086669157608
156136125.81369490912610.1863050908736
1575957.30861460237891.69138539762106
1582540.5126443357177-15.5126443357177
1593233.829110887286-1.82911088728604
1606365.4068682539927-2.40686825399265
16195126.496869812777-31.4968698127765
1621434.3564990325047-20.3564990325047
1633639.0818605084075-3.08186050840754
164113118.284310760526-5.28431076052573
1654749.1432825962902-2.14328259629017
1669273.230452550710318.7695474492897
1677060.89586787328159.1041321267185
1681946.6607814341621-27.6607814341621
1695039.403580840949510.5964191590505
1704187.115026844267-46.115026844267
17191112.544471835264-21.5444718352639
17211169.353818013903841.6461819860962
1734165.8934613407119-24.8934613407119
17412091.189012172191228.8109878278088
17513540.923982544514894.0760174554852
1762754.0238422794675-27.0238422794675
1778774.423712828437312.5762871715627
1782535.169956488549-10.169956488549
17913178.216420706876152.7835792931239
1804551.0007352981913-6.00073529819132
1812928.64035561972850.359644380271522
1825832.937180495762725.0628195042373
18346.98112116498428-2.98112116498428
1844764.0119752208103-17.0119752208103
18510994.802832693803914.1971673061961
18674.579252632354362.42074736764564
1871217.7948075592071-5.79480755920708
18807.61118403268-7.61118403268
1893752.3481822917023-15.3481822917023
1903734.45052141250352.54947858749655
1914654.3387286669193-8.33872866691932
1921535.7868069294987-20.7868069294987
1934232.59859235720919.40140764279087
194726.9274520654224-19.9274520654224
1955450.97369498379443.02630501620555
1965444.40609276530989.59390723469023
1971427.5456411230611-13.5456411230611
1981624.4285260312474-8.42852603124742
1993337.4118911558595-4.41189115585952
2003225.7642230211196.23577697888101
2012124.7384444986375-3.73844449863746
2021517.9202302861582-2.92023028615817
2033846.8033671261026-8.80336712610264
2042237.9334797268368-15.9334797268368
2052836.9833153191609-8.98331531916092
2061016.3104551675844-6.31045516758443
2073128.1979115007232.80208849927697
2083263.6184042211604-31.6184042211604
2093246.3602043446981-14.3602043446981
2104344.4165816970615-1.41658169706151
2112734.579498560849-7.57949856084905
2123744.1254094474745-7.12540944747445
2132020.1367787694791-0.136778769479115
2143226.62605981973155.37394018026845
215023.5580203536468-23.5580203536468
216519.6844812760739-14.6844812760739
2172623.2982446942812.70175530571905
2181020.1561659019521-10.1561659019521
2192723.48410141126143.51589858873863
2201127.9934940953677-16.9934940953677
2212928.24521376850380.754786231496201
2222539.2209816352516-14.2209816352516
2235540.953860411753414.0461395882466
2242324.2343106387721-1.23431063877214
225510.1629946342665-5.1629946342665
2264347.5270936861375-4.52709368613752
2272325.0439492482299-2.04394924822995
2283421.402568045526112.5974319544739
2293623.071887977114212.9281120228858
2303531.13095896285723.86904103714285
231011.7641919494557-11.7641919494557
2323729.84962014185447.15037985814558
2332832.303154710873-4.30315471087296
2341618.5463589771694-2.5463589771694
2352621.72578148069274.27421851930726
2363817.249781527095520.7502184729045
2372354.0603137004119-31.0603137004119
2382216.67137424977145.32862575022863
2393027.65198736869222.34801263130783
2401612.42263247356953.57736752643049
2411832.3047470911489-14.3047470911489
2422839.4843635501739-11.4843635501739
2433215.223700596148916.7762994038511
2442116.39147632209684.60852367790318
2452323.7109935841664-0.710993584166406
2462930.2537501209537-1.25375012095367
2475037.575474472737512.4245255272625
2481226.7349493935707-14.7349493935707
2492127.889677144783-6.88967714478302
2501810.84623990217337.15376009782674
2512749.6764133337906-22.6764133337906
2524133.32260988029617.67739011970391
253134.749406070413318.25059392958669
2541231.9879834974146-19.9879834974146
2552129.3350082954739-8.33500829547387
25689.02408861646934-1.02408861646933
2572610.671186554868715.3288134451313
2582728.3949841157004-1.39498411570035
2591317.9380601474613-4.93806014746127
2601610.82732203189035.17267796810973
26128.81193664182535-6.81193664182535
2624225.359887988622516.6401120113775
263511.2047536423965-6.20475364239646
2643718.133305829388418.8666941706116
2651714.16094638963442.83905361036556
2663827.791859491254310.2081405087457
2673719.528282360865417.4717176391346
2682915.79304536523913.206954634761
2693236.8671178647513-4.86711786475129
2703523.514538548695111.4854614513049
2711733.9324588660501-16.9324588660501
2722021.4130111220908-1.41301112209076
273714.8087761888014-7.8087761888014
2744633.565028720644912.4349712793551
2752418.89875202580375.10124797419629
2764024.040949134966315.9590508650337
277315.984609807869-12.984609807869
278103.960327460591566.03967253940844
2793729.62348247635677.37651752364333
2801726.6244801306002-9.62448013060023
2812825.9084149823552.09158501764503
2821926.9688526382595-7.96885263825947
2832931.2717029527009-2.27170295270088
284811.5474253773947-3.54742537739467
2851018.6771446121887-8.67714461218868
2861517.5890538013382-2.58905380133822
2871518.507344245264-3.50734424526399
2882818.15319386572979.84680613427034
2891724.4978501130764-7.49785011307637

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 79 & 82.448421033383 & -3.44842103338299 \tabularnewline
2 & 58 & 49.9918938816345 & 8.00810611836553 \tabularnewline
3 & 60 & 72.7648071489295 & -12.7648071489295 \tabularnewline
4 & 108 & 75.0077408485106 & 32.9922591514894 \tabularnewline
5 & 49 & 52.4993492983523 & -3.49934929835225 \tabularnewline
6 & 0 & 28.6145329972695 & -28.6145329972695 \tabularnewline
7 & 121 & 146.975505890609 & -25.975505890609 \tabularnewline
8 & 1 & 22.4306475358829 & -21.4306475358829 \tabularnewline
9 & 20 & 45.4651444157438 & -25.4651444157438 \tabularnewline
10 & 43 & 65.3636651660167 & -22.3636651660167 \tabularnewline
11 & 69 & 70.4270295855898 & -1.42702958558979 \tabularnewline
12 & 78 & 89.8315004955633 & -11.8315004955633 \tabularnewline
13 & 86 & 67.3051048325371 & 18.6948951674629 \tabularnewline
14 & 44 & 57.3172773973001 & -13.3172773973001 \tabularnewline
15 & 104 & 102.410870414143 & 1.58912958585668 \tabularnewline
16 & 63 & 71.5837571557159 & -8.58375715571592 \tabularnewline
17 & 158 & 127.673464641874 & 30.326535358126 \tabularnewline
18 & 102 & 90.4391341501514 & 11.5608658498486 \tabularnewline
19 & 77 & 88.6972237501764 & -11.6972237501764 \tabularnewline
20 & 82 & 56.5125284148798 & 25.4874715851202 \tabularnewline
21 & 115 & 82.1216226073855 & 32.8783773926145 \tabularnewline
22 & 101 & 86.5726621511011 & 14.4273378488989 \tabularnewline
23 & 80 & 127.386124937285 & -47.3861249372854 \tabularnewline
24 & 50 & 64.3911231335863 & -14.3911231335863 \tabularnewline
25 & 83 & 57.613833825925 & 25.386166174075 \tabularnewline
26 & 123 & 74.8656148435459 & 48.1343851564541 \tabularnewline
27 & 73 & 70.8819514389496 & 2.11804856105043 \tabularnewline
28 & 81 & 87.0969407868709 & -6.09694078687092 \tabularnewline
29 & 105 & 84.8761113740777 & 20.1238886259223 \tabularnewline
30 & 47 & 54.2812480666085 & -7.2812480666085 \tabularnewline
31 & 105 & 88.5887425331046 & 16.4112574668954 \tabularnewline
32 & 94 & 82.4309790526394 & 11.5690209473606 \tabularnewline
33 & 44 & 68.7748900380697 & -24.7748900380697 \tabularnewline
34 & 114 & 96.6336523794555 & 17.3663476205445 \tabularnewline
35 & 38 & 39.2033376342188 & -1.20333763421882 \tabularnewline
36 & 107 & 112.670751288126 & -5.67075128812551 \tabularnewline
37 & 30 & 43.977921816952 & -13.977921816952 \tabularnewline
38 & 71 & 87.2621934008934 & -16.2621934008933 \tabularnewline
39 & 84 & 121.384172199277 & -37.384172199277 \tabularnewline
40 & 0 & 11.2698902547087 & -11.2698902547087 \tabularnewline
41 & 59 & 66.4284464345022 & -7.42844643450216 \tabularnewline
42 & 33 & 46.1139364569908 & -13.1139364569908 \tabularnewline
43 & 42 & 45.5463906452934 & -3.54639064529336 \tabularnewline
44 & 96 & 96.5161742614447 & -0.516174261444746 \tabularnewline
45 & 106 & 107.951233653256 & -1.95123365325638 \tabularnewline
46 & 56 & 60.0948033097838 & -4.09480330978379 \tabularnewline
47 & 57 & 73.9959224465948 & -16.9959224465948 \tabularnewline
48 & 59 & 61.419822094906 & -2.41982209490603 \tabularnewline
49 & 39 & 49.4862730214929 & -10.486273021493 \tabularnewline
50 & 34 & 55.4369555963977 & -21.4369555963977 \tabularnewline
51 & 76 & 143.466821196537 & -67.466821196537 \tabularnewline
52 & 20 & 36.1365199173736 & -16.1365199173736 \tabularnewline
53 & 91 & 73.3373624685178 & 17.6626375314822 \tabularnewline
54 & 115 & 112.752636709768 & 2.24736329023174 \tabularnewline
55 & 85 & 64.5265357623653 & 20.4734642376347 \tabularnewline
56 & 76 & 65.5377979123836 & 10.4622020876164 \tabularnewline
57 & 8 & 17.4150676613407 & -9.4150676613407 \tabularnewline
58 & 79 & 101.14928482492 & -22.1492848249195 \tabularnewline
59 & 21 & 32.7688167141368 & -11.7688167141368 \tabularnewline
60 & 30 & 42.244574997994 & -12.244574997994 \tabularnewline
61 & 76 & 90.9434789935333 & -14.9434789935333 \tabularnewline
62 & 101 & 94.1120482473084 & 6.88795175269163 \tabularnewline
63 & 94 & 134.207014844538 & -40.2070148445377 \tabularnewline
64 & 27 & 44.6752165381839 & -17.6752165381839 \tabularnewline
65 & 92 & 88.1746099718245 & 3.8253900281755 \tabularnewline
66 & 123 & 92.3964051080825 & 30.6035948919175 \tabularnewline
67 & 75 & 78.7105355546754 & -3.71053555467539 \tabularnewline
68 & 128 & 118.141240630783 & 9.85875936921709 \tabularnewline
69 & 105 & 91.0444248464715 & 13.9555751535285 \tabularnewline
70 & 55 & 71.1364549656244 & -16.1364549656244 \tabularnewline
71 & 56 & 80.4176521125615 & -24.4176521125615 \tabularnewline
72 & 41 & 72.5773793762239 & -31.577379376224 \tabularnewline
73 & 72 & 67.315354028335 & 4.68464597166504 \tabularnewline
74 & 67 & 53.1237837129966 & 13.8762162870034 \tabularnewline
75 & 75 & 71.161828524195 & 3.838171475805 \tabularnewline
76 & 114 & 73.97389095234 & 40.0261090476601 \tabularnewline
77 & 118 & 49.076390793919 & 68.923609206081 \tabularnewline
78 & 77 & 74.1263858840625 & 2.87361411593751 \tabularnewline
79 & 22 & 33.9578022537837 & -11.9578022537837 \tabularnewline
80 & 66 & 75.4587499784893 & -9.45874997848929 \tabularnewline
81 & 69 & 65.7847387553954 & 3.21526124460459 \tabularnewline
82 & 105 & 58.4212667314196 & 46.5787332685804 \tabularnewline
83 & 116 & 101.015852484311 & 14.9841475156891 \tabularnewline
84 & 88 & 89.475527062231 & -1.47552706223096 \tabularnewline
85 & 73 & 66.5695748752127 & 6.43042512478729 \tabularnewline
86 & 99 & 55.8180824931308 & 43.1819175068692 \tabularnewline
87 & 62 & 60.0204735725938 & 1.97952642740619 \tabularnewline
88 & 53 & 51.6809311498098 & 1.31906885019024 \tabularnewline
89 & 118 & 128.851236212108 & -10.8512362121083 \tabularnewline
90 & 30 & 55.9291514715253 & -25.9291514715253 \tabularnewline
91 & 100 & 71.6924604471129 & 28.3075395528871 \tabularnewline
92 & 49 & 36.1365676586792 & 12.8634323413208 \tabularnewline
93 & 24 & 53.2732111223887 & -29.2732111223887 \tabularnewline
94 & 67 & 50.6935871951362 & 16.3064128048638 \tabularnewline
95 & 46 & 44.6434410168094 & 1.35655898319065 \tabularnewline
96 & 57 & 104.278747204346 & -47.2787472043459 \tabularnewline
97 & 75 & 88.7301219519434 & -13.7301219519434 \tabularnewline
98 & 135 & 63.2586948682291 & 71.7413051317709 \tabularnewline
99 & 68 & 77.5084719234815 & -9.5084719234815 \tabularnewline
100 & 124 & 69.1844417465766 & 54.8155582534234 \tabularnewline
101 & 33 & 55.9512741143906 & -22.9512741143906 \tabularnewline
102 & 98 & 87.7588989935711 & 10.2411010064289 \tabularnewline
103 & 58 & 90.7229699254559 & -32.7229699254559 \tabularnewline
104 & 68 & 64.3232144793502 & 3.67678552064985 \tabularnewline
105 & 81 & 69.5929357536499 & 11.4070642463501 \tabularnewline
106 & 131 & 84.8107696597399 & 46.1892303402601 \tabularnewline
107 & 110 & 99.0889268516471 & 10.9110731483529 \tabularnewline
108 & 37 & 39.1544633768358 & -2.15446337683582 \tabularnewline
109 & 130 & 115.484004952279 & 14.515995047721 \tabularnewline
110 & 93 & 81.6719091545104 & 11.3280908454896 \tabularnewline
111 & 118 & 87.4433551139025 & 30.5566448860975 \tabularnewline
112 & 39 & 46.3916154840189 & -7.39161548401888 \tabularnewline
113 & 13 & 22.3319428181472 & -9.33194281814718 \tabularnewline
114 & 74 & 61.4188963274 & 12.5811036726 \tabularnewline
115 & 81 & 57.4980991776566 & 23.5019008223434 \tabularnewline
116 & 109 & 80.3429128803073 & 28.6570871196927 \tabularnewline
117 & 151 & 87.9886354637 & 63.0113645363 \tabularnewline
118 & 51 & 83.1876378212513 & -32.1876378212513 \tabularnewline
119 & 28 & 37.810662188128 & -9.810662188128 \tabularnewline
120 & 40 & 40.2434121378995 & -0.243412137899495 \tabularnewline
121 & 56 & 53.4841574598479 & 2.51584254015207 \tabularnewline
122 & 27 & 25.6105169361258 & 1.38948306387424 \tabularnewline
123 & 37 & 52.8201180987841 & -15.8201180987841 \tabularnewline
124 & 83 & 38.8671186531729 & 44.1328813468271 \tabularnewline
125 & 54 & 80.6543316674326 & -26.6543316674326 \tabularnewline
126 & 27 & 33.7214869946811 & -6.7214869946811 \tabularnewline
127 & 28 & 39.7233718341203 & -11.7233718341203 \tabularnewline
128 & 59 & 42.0525481643647 & 16.9474518356353 \tabularnewline
129 & 133 & 88.4681886471279 & 44.5318113528721 \tabularnewline
130 & 12 & 13.8313769413174 & -1.83137694131743 \tabularnewline
131 & 0 & 19.8712105922435 & -19.8712105922435 \tabularnewline
132 & 106 & 57.9030013011118 & 48.0969986988882 \tabularnewline
133 & 23 & 25.2859261641813 & -2.28592616418132 \tabularnewline
134 & 44 & 44.4409880827514 & -0.440988082751355 \tabularnewline
135 & 71 & 52.3419449003905 & 18.6580550996095 \tabularnewline
136 & 116 & 113.106891467269 & 2.89310853273107 \tabularnewline
137 & 4 & 12.1978474730456 & -8.19784747304557 \tabularnewline
138 & 62 & 78.9482268375019 & -16.9482268375019 \tabularnewline
139 & 12 & 14.1479675321677 & -2.14796753216769 \tabularnewline
140 & 18 & 15.4396570783726 & 2.56034292162741 \tabularnewline
141 & 14 & 20.1783156960745 & -6.17831569607449 \tabularnewline
142 & 60 & 51.5520452181179 & 8.4479547818821 \tabularnewline
143 & 7 & 37.1761034847651 & -30.1761034847651 \tabularnewline
144 & 98 & 91.5793613296853 & 6.42063867031471 \tabularnewline
145 & 64 & 68.9104022693602 & -4.91040226936021 \tabularnewline
146 & 29 & 36.7627376503352 & -7.76273765033519 \tabularnewline
147 & 32 & 46.4984091783399 & -14.4984091783399 \tabularnewline
148 & 25 & 39.1987966497433 & -14.1987966497433 \tabularnewline
149 & 16 & 16.4266254896059 & -0.426625489605924 \tabularnewline
150 & 48 & 58.8978434121985 & -10.8978434121985 \tabularnewline
151 & 100 & 98.68474686114 & 1.31525313885997 \tabularnewline
152 & 46 & 60.4809483406038 & -14.4809483406038 \tabularnewline
153 & 45 & 41.8121617077249 & 3.18783829227506 \tabularnewline
154 & 129 & 121.288217818617 & 7.71178218138334 \tabularnewline
155 & 130 & 88.0913330842392 & 41.9086669157608 \tabularnewline
156 & 136 & 125.813694909126 & 10.1863050908736 \tabularnewline
157 & 59 & 57.3086146023789 & 1.69138539762106 \tabularnewline
158 & 25 & 40.5126443357177 & -15.5126443357177 \tabularnewline
159 & 32 & 33.829110887286 & -1.82911088728604 \tabularnewline
160 & 63 & 65.4068682539927 & -2.40686825399265 \tabularnewline
161 & 95 & 126.496869812777 & -31.4968698127765 \tabularnewline
162 & 14 & 34.3564990325047 & -20.3564990325047 \tabularnewline
163 & 36 & 39.0818605084075 & -3.08186050840754 \tabularnewline
164 & 113 & 118.284310760526 & -5.28431076052573 \tabularnewline
165 & 47 & 49.1432825962902 & -2.14328259629017 \tabularnewline
166 & 92 & 73.2304525507103 & 18.7695474492897 \tabularnewline
167 & 70 & 60.8958678732815 & 9.1041321267185 \tabularnewline
168 & 19 & 46.6607814341621 & -27.6607814341621 \tabularnewline
169 & 50 & 39.4035808409495 & 10.5964191590505 \tabularnewline
170 & 41 & 87.115026844267 & -46.115026844267 \tabularnewline
171 & 91 & 112.544471835264 & -21.5444718352639 \tabularnewline
172 & 111 & 69.3538180139038 & 41.6461819860962 \tabularnewline
173 & 41 & 65.8934613407119 & -24.8934613407119 \tabularnewline
174 & 120 & 91.1890121721912 & 28.8109878278088 \tabularnewline
175 & 135 & 40.9239825445148 & 94.0760174554852 \tabularnewline
176 & 27 & 54.0238422794675 & -27.0238422794675 \tabularnewline
177 & 87 & 74.4237128284373 & 12.5762871715627 \tabularnewline
178 & 25 & 35.169956488549 & -10.169956488549 \tabularnewline
179 & 131 & 78.2164207068761 & 52.7835792931239 \tabularnewline
180 & 45 & 51.0007352981913 & -6.00073529819132 \tabularnewline
181 & 29 & 28.6403556197285 & 0.359644380271522 \tabularnewline
182 & 58 & 32.9371804957627 & 25.0628195042373 \tabularnewline
183 & 4 & 6.98112116498428 & -2.98112116498428 \tabularnewline
184 & 47 & 64.0119752208103 & -17.0119752208103 \tabularnewline
185 & 109 & 94.8028326938039 & 14.1971673061961 \tabularnewline
186 & 7 & 4.57925263235436 & 2.42074736764564 \tabularnewline
187 & 12 & 17.7948075592071 & -5.79480755920708 \tabularnewline
188 & 0 & 7.61118403268 & -7.61118403268 \tabularnewline
189 & 37 & 52.3481822917023 & -15.3481822917023 \tabularnewline
190 & 37 & 34.4505214125035 & 2.54947858749655 \tabularnewline
191 & 46 & 54.3387286669193 & -8.33872866691932 \tabularnewline
192 & 15 & 35.7868069294987 & -20.7868069294987 \tabularnewline
193 & 42 & 32.5985923572091 & 9.40140764279087 \tabularnewline
194 & 7 & 26.9274520654224 & -19.9274520654224 \tabularnewline
195 & 54 & 50.9736949837944 & 3.02630501620555 \tabularnewline
196 & 54 & 44.4060927653098 & 9.59390723469023 \tabularnewline
197 & 14 & 27.5456411230611 & -13.5456411230611 \tabularnewline
198 & 16 & 24.4285260312474 & -8.42852603124742 \tabularnewline
199 & 33 & 37.4118911558595 & -4.41189115585952 \tabularnewline
200 & 32 & 25.764223021119 & 6.23577697888101 \tabularnewline
201 & 21 & 24.7384444986375 & -3.73844449863746 \tabularnewline
202 & 15 & 17.9202302861582 & -2.92023028615817 \tabularnewline
203 & 38 & 46.8033671261026 & -8.80336712610264 \tabularnewline
204 & 22 & 37.9334797268368 & -15.9334797268368 \tabularnewline
205 & 28 & 36.9833153191609 & -8.98331531916092 \tabularnewline
206 & 10 & 16.3104551675844 & -6.31045516758443 \tabularnewline
207 & 31 & 28.197911500723 & 2.80208849927697 \tabularnewline
208 & 32 & 63.6184042211604 & -31.6184042211604 \tabularnewline
209 & 32 & 46.3602043446981 & -14.3602043446981 \tabularnewline
210 & 43 & 44.4165816970615 & -1.41658169706151 \tabularnewline
211 & 27 & 34.579498560849 & -7.57949856084905 \tabularnewline
212 & 37 & 44.1254094474745 & -7.12540944747445 \tabularnewline
213 & 20 & 20.1367787694791 & -0.136778769479115 \tabularnewline
214 & 32 & 26.6260598197315 & 5.37394018026845 \tabularnewline
215 & 0 & 23.5580203536468 & -23.5580203536468 \tabularnewline
216 & 5 & 19.6844812760739 & -14.6844812760739 \tabularnewline
217 & 26 & 23.298244694281 & 2.70175530571905 \tabularnewline
218 & 10 & 20.1561659019521 & -10.1561659019521 \tabularnewline
219 & 27 & 23.4841014112614 & 3.51589858873863 \tabularnewline
220 & 11 & 27.9934940953677 & -16.9934940953677 \tabularnewline
221 & 29 & 28.2452137685038 & 0.754786231496201 \tabularnewline
222 & 25 & 39.2209816352516 & -14.2209816352516 \tabularnewline
223 & 55 & 40.9538604117534 & 14.0461395882466 \tabularnewline
224 & 23 & 24.2343106387721 & -1.23431063877214 \tabularnewline
225 & 5 & 10.1629946342665 & -5.1629946342665 \tabularnewline
226 & 43 & 47.5270936861375 & -4.52709368613752 \tabularnewline
227 & 23 & 25.0439492482299 & -2.04394924822995 \tabularnewline
228 & 34 & 21.4025680455261 & 12.5974319544739 \tabularnewline
229 & 36 & 23.0718879771142 & 12.9281120228858 \tabularnewline
230 & 35 & 31.1309589628572 & 3.86904103714285 \tabularnewline
231 & 0 & 11.7641919494557 & -11.7641919494557 \tabularnewline
232 & 37 & 29.8496201418544 & 7.15037985814558 \tabularnewline
233 & 28 & 32.303154710873 & -4.30315471087296 \tabularnewline
234 & 16 & 18.5463589771694 & -2.5463589771694 \tabularnewline
235 & 26 & 21.7257814806927 & 4.27421851930726 \tabularnewline
236 & 38 & 17.2497815270955 & 20.7502184729045 \tabularnewline
237 & 23 & 54.0603137004119 & -31.0603137004119 \tabularnewline
238 & 22 & 16.6713742497714 & 5.32862575022863 \tabularnewline
239 & 30 & 27.6519873686922 & 2.34801263130783 \tabularnewline
240 & 16 & 12.4226324735695 & 3.57736752643049 \tabularnewline
241 & 18 & 32.3047470911489 & -14.3047470911489 \tabularnewline
242 & 28 & 39.4843635501739 & -11.4843635501739 \tabularnewline
243 & 32 & 15.2237005961489 & 16.7762994038511 \tabularnewline
244 & 21 & 16.3914763220968 & 4.60852367790318 \tabularnewline
245 & 23 & 23.7109935841664 & -0.710993584166406 \tabularnewline
246 & 29 & 30.2537501209537 & -1.25375012095367 \tabularnewline
247 & 50 & 37.5754744727375 & 12.4245255272625 \tabularnewline
248 & 12 & 26.7349493935707 & -14.7349493935707 \tabularnewline
249 & 21 & 27.889677144783 & -6.88967714478302 \tabularnewline
250 & 18 & 10.8462399021733 & 7.15376009782674 \tabularnewline
251 & 27 & 49.6764133337906 & -22.6764133337906 \tabularnewline
252 & 41 & 33.3226098802961 & 7.67739011970391 \tabularnewline
253 & 13 & 4.74940607041331 & 8.25059392958669 \tabularnewline
254 & 12 & 31.9879834974146 & -19.9879834974146 \tabularnewline
255 & 21 & 29.3350082954739 & -8.33500829547387 \tabularnewline
256 & 8 & 9.02408861646934 & -1.02408861646933 \tabularnewline
257 & 26 & 10.6711865548687 & 15.3288134451313 \tabularnewline
258 & 27 & 28.3949841157004 & -1.39498411570035 \tabularnewline
259 & 13 & 17.9380601474613 & -4.93806014746127 \tabularnewline
260 & 16 & 10.8273220318903 & 5.17267796810973 \tabularnewline
261 & 2 & 8.81193664182535 & -6.81193664182535 \tabularnewline
262 & 42 & 25.3598879886225 & 16.6401120113775 \tabularnewline
263 & 5 & 11.2047536423965 & -6.20475364239646 \tabularnewline
264 & 37 & 18.1333058293884 & 18.8666941706116 \tabularnewline
265 & 17 & 14.1609463896344 & 2.83905361036556 \tabularnewline
266 & 38 & 27.7918594912543 & 10.2081405087457 \tabularnewline
267 & 37 & 19.5282823608654 & 17.4717176391346 \tabularnewline
268 & 29 & 15.793045365239 & 13.206954634761 \tabularnewline
269 & 32 & 36.8671178647513 & -4.86711786475129 \tabularnewline
270 & 35 & 23.5145385486951 & 11.4854614513049 \tabularnewline
271 & 17 & 33.9324588660501 & -16.9324588660501 \tabularnewline
272 & 20 & 21.4130111220908 & -1.41301112209076 \tabularnewline
273 & 7 & 14.8087761888014 & -7.8087761888014 \tabularnewline
274 & 46 & 33.5650287206449 & 12.4349712793551 \tabularnewline
275 & 24 & 18.8987520258037 & 5.10124797419629 \tabularnewline
276 & 40 & 24.0409491349663 & 15.9590508650337 \tabularnewline
277 & 3 & 15.984609807869 & -12.984609807869 \tabularnewline
278 & 10 & 3.96032746059156 & 6.03967253940844 \tabularnewline
279 & 37 & 29.6234824763567 & 7.37651752364333 \tabularnewline
280 & 17 & 26.6244801306002 & -9.62448013060023 \tabularnewline
281 & 28 & 25.908414982355 & 2.09158501764503 \tabularnewline
282 & 19 & 26.9688526382595 & -7.96885263825947 \tabularnewline
283 & 29 & 31.2717029527009 & -2.27170295270088 \tabularnewline
284 & 8 & 11.5474253773947 & -3.54742537739467 \tabularnewline
285 & 10 & 18.6771446121887 & -8.67714461218868 \tabularnewline
286 & 15 & 17.5890538013382 & -2.58905380133822 \tabularnewline
287 & 15 & 18.507344245264 & -3.50734424526399 \tabularnewline
288 & 28 & 18.1531938657297 & 9.84680613427034 \tabularnewline
289 & 17 & 24.4978501130764 & -7.49785011307637 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202342&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]79[/C][C]82.448421033383[/C][C]-3.44842103338299[/C][/ROW]
[ROW][C]2[/C][C]58[/C][C]49.9918938816345[/C][C]8.00810611836553[/C][/ROW]
[ROW][C]3[/C][C]60[/C][C]72.7648071489295[/C][C]-12.7648071489295[/C][/ROW]
[ROW][C]4[/C][C]108[/C][C]75.0077408485106[/C][C]32.9922591514894[/C][/ROW]
[ROW][C]5[/C][C]49[/C][C]52.4993492983523[/C][C]-3.49934929835225[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]28.6145329972695[/C][C]-28.6145329972695[/C][/ROW]
[ROW][C]7[/C][C]121[/C][C]146.975505890609[/C][C]-25.975505890609[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]22.4306475358829[/C][C]-21.4306475358829[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]45.4651444157438[/C][C]-25.4651444157438[/C][/ROW]
[ROW][C]10[/C][C]43[/C][C]65.3636651660167[/C][C]-22.3636651660167[/C][/ROW]
[ROW][C]11[/C][C]69[/C][C]70.4270295855898[/C][C]-1.42702958558979[/C][/ROW]
[ROW][C]12[/C][C]78[/C][C]89.8315004955633[/C][C]-11.8315004955633[/C][/ROW]
[ROW][C]13[/C][C]86[/C][C]67.3051048325371[/C][C]18.6948951674629[/C][/ROW]
[ROW][C]14[/C][C]44[/C][C]57.3172773973001[/C][C]-13.3172773973001[/C][/ROW]
[ROW][C]15[/C][C]104[/C][C]102.410870414143[/C][C]1.58912958585668[/C][/ROW]
[ROW][C]16[/C][C]63[/C][C]71.5837571557159[/C][C]-8.58375715571592[/C][/ROW]
[ROW][C]17[/C][C]158[/C][C]127.673464641874[/C][C]30.326535358126[/C][/ROW]
[ROW][C]18[/C][C]102[/C][C]90.4391341501514[/C][C]11.5608658498486[/C][/ROW]
[ROW][C]19[/C][C]77[/C][C]88.6972237501764[/C][C]-11.6972237501764[/C][/ROW]
[ROW][C]20[/C][C]82[/C][C]56.5125284148798[/C][C]25.4874715851202[/C][/ROW]
[ROW][C]21[/C][C]115[/C][C]82.1216226073855[/C][C]32.8783773926145[/C][/ROW]
[ROW][C]22[/C][C]101[/C][C]86.5726621511011[/C][C]14.4273378488989[/C][/ROW]
[ROW][C]23[/C][C]80[/C][C]127.386124937285[/C][C]-47.3861249372854[/C][/ROW]
[ROW][C]24[/C][C]50[/C][C]64.3911231335863[/C][C]-14.3911231335863[/C][/ROW]
[ROW][C]25[/C][C]83[/C][C]57.613833825925[/C][C]25.386166174075[/C][/ROW]
[ROW][C]26[/C][C]123[/C][C]74.8656148435459[/C][C]48.1343851564541[/C][/ROW]
[ROW][C]27[/C][C]73[/C][C]70.8819514389496[/C][C]2.11804856105043[/C][/ROW]
[ROW][C]28[/C][C]81[/C][C]87.0969407868709[/C][C]-6.09694078687092[/C][/ROW]
[ROW][C]29[/C][C]105[/C][C]84.8761113740777[/C][C]20.1238886259223[/C][/ROW]
[ROW][C]30[/C][C]47[/C][C]54.2812480666085[/C][C]-7.2812480666085[/C][/ROW]
[ROW][C]31[/C][C]105[/C][C]88.5887425331046[/C][C]16.4112574668954[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]82.4309790526394[/C][C]11.5690209473606[/C][/ROW]
[ROW][C]33[/C][C]44[/C][C]68.7748900380697[/C][C]-24.7748900380697[/C][/ROW]
[ROW][C]34[/C][C]114[/C][C]96.6336523794555[/C][C]17.3663476205445[/C][/ROW]
[ROW][C]35[/C][C]38[/C][C]39.2033376342188[/C][C]-1.20333763421882[/C][/ROW]
[ROW][C]36[/C][C]107[/C][C]112.670751288126[/C][C]-5.67075128812551[/C][/ROW]
[ROW][C]37[/C][C]30[/C][C]43.977921816952[/C][C]-13.977921816952[/C][/ROW]
[ROW][C]38[/C][C]71[/C][C]87.2621934008934[/C][C]-16.2621934008933[/C][/ROW]
[ROW][C]39[/C][C]84[/C][C]121.384172199277[/C][C]-37.384172199277[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]11.2698902547087[/C][C]-11.2698902547087[/C][/ROW]
[ROW][C]41[/C][C]59[/C][C]66.4284464345022[/C][C]-7.42844643450216[/C][/ROW]
[ROW][C]42[/C][C]33[/C][C]46.1139364569908[/C][C]-13.1139364569908[/C][/ROW]
[ROW][C]43[/C][C]42[/C][C]45.5463906452934[/C][C]-3.54639064529336[/C][/ROW]
[ROW][C]44[/C][C]96[/C][C]96.5161742614447[/C][C]-0.516174261444746[/C][/ROW]
[ROW][C]45[/C][C]106[/C][C]107.951233653256[/C][C]-1.95123365325638[/C][/ROW]
[ROW][C]46[/C][C]56[/C][C]60.0948033097838[/C][C]-4.09480330978379[/C][/ROW]
[ROW][C]47[/C][C]57[/C][C]73.9959224465948[/C][C]-16.9959224465948[/C][/ROW]
[ROW][C]48[/C][C]59[/C][C]61.419822094906[/C][C]-2.41982209490603[/C][/ROW]
[ROW][C]49[/C][C]39[/C][C]49.4862730214929[/C][C]-10.486273021493[/C][/ROW]
[ROW][C]50[/C][C]34[/C][C]55.4369555963977[/C][C]-21.4369555963977[/C][/ROW]
[ROW][C]51[/C][C]76[/C][C]143.466821196537[/C][C]-67.466821196537[/C][/ROW]
[ROW][C]52[/C][C]20[/C][C]36.1365199173736[/C][C]-16.1365199173736[/C][/ROW]
[ROW][C]53[/C][C]91[/C][C]73.3373624685178[/C][C]17.6626375314822[/C][/ROW]
[ROW][C]54[/C][C]115[/C][C]112.752636709768[/C][C]2.24736329023174[/C][/ROW]
[ROW][C]55[/C][C]85[/C][C]64.5265357623653[/C][C]20.4734642376347[/C][/ROW]
[ROW][C]56[/C][C]76[/C][C]65.5377979123836[/C][C]10.4622020876164[/C][/ROW]
[ROW][C]57[/C][C]8[/C][C]17.4150676613407[/C][C]-9.4150676613407[/C][/ROW]
[ROW][C]58[/C][C]79[/C][C]101.14928482492[/C][C]-22.1492848249195[/C][/ROW]
[ROW][C]59[/C][C]21[/C][C]32.7688167141368[/C][C]-11.7688167141368[/C][/ROW]
[ROW][C]60[/C][C]30[/C][C]42.244574997994[/C][C]-12.244574997994[/C][/ROW]
[ROW][C]61[/C][C]76[/C][C]90.9434789935333[/C][C]-14.9434789935333[/C][/ROW]
[ROW][C]62[/C][C]101[/C][C]94.1120482473084[/C][C]6.88795175269163[/C][/ROW]
[ROW][C]63[/C][C]94[/C][C]134.207014844538[/C][C]-40.2070148445377[/C][/ROW]
[ROW][C]64[/C][C]27[/C][C]44.6752165381839[/C][C]-17.6752165381839[/C][/ROW]
[ROW][C]65[/C][C]92[/C][C]88.1746099718245[/C][C]3.8253900281755[/C][/ROW]
[ROW][C]66[/C][C]123[/C][C]92.3964051080825[/C][C]30.6035948919175[/C][/ROW]
[ROW][C]67[/C][C]75[/C][C]78.7105355546754[/C][C]-3.71053555467539[/C][/ROW]
[ROW][C]68[/C][C]128[/C][C]118.141240630783[/C][C]9.85875936921709[/C][/ROW]
[ROW][C]69[/C][C]105[/C][C]91.0444248464715[/C][C]13.9555751535285[/C][/ROW]
[ROW][C]70[/C][C]55[/C][C]71.1364549656244[/C][C]-16.1364549656244[/C][/ROW]
[ROW][C]71[/C][C]56[/C][C]80.4176521125615[/C][C]-24.4176521125615[/C][/ROW]
[ROW][C]72[/C][C]41[/C][C]72.5773793762239[/C][C]-31.577379376224[/C][/ROW]
[ROW][C]73[/C][C]72[/C][C]67.315354028335[/C][C]4.68464597166504[/C][/ROW]
[ROW][C]74[/C][C]67[/C][C]53.1237837129966[/C][C]13.8762162870034[/C][/ROW]
[ROW][C]75[/C][C]75[/C][C]71.161828524195[/C][C]3.838171475805[/C][/ROW]
[ROW][C]76[/C][C]114[/C][C]73.97389095234[/C][C]40.0261090476601[/C][/ROW]
[ROW][C]77[/C][C]118[/C][C]49.076390793919[/C][C]68.923609206081[/C][/ROW]
[ROW][C]78[/C][C]77[/C][C]74.1263858840625[/C][C]2.87361411593751[/C][/ROW]
[ROW][C]79[/C][C]22[/C][C]33.9578022537837[/C][C]-11.9578022537837[/C][/ROW]
[ROW][C]80[/C][C]66[/C][C]75.4587499784893[/C][C]-9.45874997848929[/C][/ROW]
[ROW][C]81[/C][C]69[/C][C]65.7847387553954[/C][C]3.21526124460459[/C][/ROW]
[ROW][C]82[/C][C]105[/C][C]58.4212667314196[/C][C]46.5787332685804[/C][/ROW]
[ROW][C]83[/C][C]116[/C][C]101.015852484311[/C][C]14.9841475156891[/C][/ROW]
[ROW][C]84[/C][C]88[/C][C]89.475527062231[/C][C]-1.47552706223096[/C][/ROW]
[ROW][C]85[/C][C]73[/C][C]66.5695748752127[/C][C]6.43042512478729[/C][/ROW]
[ROW][C]86[/C][C]99[/C][C]55.8180824931308[/C][C]43.1819175068692[/C][/ROW]
[ROW][C]87[/C][C]62[/C][C]60.0204735725938[/C][C]1.97952642740619[/C][/ROW]
[ROW][C]88[/C][C]53[/C][C]51.6809311498098[/C][C]1.31906885019024[/C][/ROW]
[ROW][C]89[/C][C]118[/C][C]128.851236212108[/C][C]-10.8512362121083[/C][/ROW]
[ROW][C]90[/C][C]30[/C][C]55.9291514715253[/C][C]-25.9291514715253[/C][/ROW]
[ROW][C]91[/C][C]100[/C][C]71.6924604471129[/C][C]28.3075395528871[/C][/ROW]
[ROW][C]92[/C][C]49[/C][C]36.1365676586792[/C][C]12.8634323413208[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]53.2732111223887[/C][C]-29.2732111223887[/C][/ROW]
[ROW][C]94[/C][C]67[/C][C]50.6935871951362[/C][C]16.3064128048638[/C][/ROW]
[ROW][C]95[/C][C]46[/C][C]44.6434410168094[/C][C]1.35655898319065[/C][/ROW]
[ROW][C]96[/C][C]57[/C][C]104.278747204346[/C][C]-47.2787472043459[/C][/ROW]
[ROW][C]97[/C][C]75[/C][C]88.7301219519434[/C][C]-13.7301219519434[/C][/ROW]
[ROW][C]98[/C][C]135[/C][C]63.2586948682291[/C][C]71.7413051317709[/C][/ROW]
[ROW][C]99[/C][C]68[/C][C]77.5084719234815[/C][C]-9.5084719234815[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]69.1844417465766[/C][C]54.8155582534234[/C][/ROW]
[ROW][C]101[/C][C]33[/C][C]55.9512741143906[/C][C]-22.9512741143906[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]87.7588989935711[/C][C]10.2411010064289[/C][/ROW]
[ROW][C]103[/C][C]58[/C][C]90.7229699254559[/C][C]-32.7229699254559[/C][/ROW]
[ROW][C]104[/C][C]68[/C][C]64.3232144793502[/C][C]3.67678552064985[/C][/ROW]
[ROW][C]105[/C][C]81[/C][C]69.5929357536499[/C][C]11.4070642463501[/C][/ROW]
[ROW][C]106[/C][C]131[/C][C]84.8107696597399[/C][C]46.1892303402601[/C][/ROW]
[ROW][C]107[/C][C]110[/C][C]99.0889268516471[/C][C]10.9110731483529[/C][/ROW]
[ROW][C]108[/C][C]37[/C][C]39.1544633768358[/C][C]-2.15446337683582[/C][/ROW]
[ROW][C]109[/C][C]130[/C][C]115.484004952279[/C][C]14.515995047721[/C][/ROW]
[ROW][C]110[/C][C]93[/C][C]81.6719091545104[/C][C]11.3280908454896[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]87.4433551139025[/C][C]30.5566448860975[/C][/ROW]
[ROW][C]112[/C][C]39[/C][C]46.3916154840189[/C][C]-7.39161548401888[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]22.3319428181472[/C][C]-9.33194281814718[/C][/ROW]
[ROW][C]114[/C][C]74[/C][C]61.4188963274[/C][C]12.5811036726[/C][/ROW]
[ROW][C]115[/C][C]81[/C][C]57.4980991776566[/C][C]23.5019008223434[/C][/ROW]
[ROW][C]116[/C][C]109[/C][C]80.3429128803073[/C][C]28.6570871196927[/C][/ROW]
[ROW][C]117[/C][C]151[/C][C]87.9886354637[/C][C]63.0113645363[/C][/ROW]
[ROW][C]118[/C][C]51[/C][C]83.1876378212513[/C][C]-32.1876378212513[/C][/ROW]
[ROW][C]119[/C][C]28[/C][C]37.810662188128[/C][C]-9.810662188128[/C][/ROW]
[ROW][C]120[/C][C]40[/C][C]40.2434121378995[/C][C]-0.243412137899495[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]53.4841574598479[/C][C]2.51584254015207[/C][/ROW]
[ROW][C]122[/C][C]27[/C][C]25.6105169361258[/C][C]1.38948306387424[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]52.8201180987841[/C][C]-15.8201180987841[/C][/ROW]
[ROW][C]124[/C][C]83[/C][C]38.8671186531729[/C][C]44.1328813468271[/C][/ROW]
[ROW][C]125[/C][C]54[/C][C]80.6543316674326[/C][C]-26.6543316674326[/C][/ROW]
[ROW][C]126[/C][C]27[/C][C]33.7214869946811[/C][C]-6.7214869946811[/C][/ROW]
[ROW][C]127[/C][C]28[/C][C]39.7233718341203[/C][C]-11.7233718341203[/C][/ROW]
[ROW][C]128[/C][C]59[/C][C]42.0525481643647[/C][C]16.9474518356353[/C][/ROW]
[ROW][C]129[/C][C]133[/C][C]88.4681886471279[/C][C]44.5318113528721[/C][/ROW]
[ROW][C]130[/C][C]12[/C][C]13.8313769413174[/C][C]-1.83137694131743[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]19.8712105922435[/C][C]-19.8712105922435[/C][/ROW]
[ROW][C]132[/C][C]106[/C][C]57.9030013011118[/C][C]48.0969986988882[/C][/ROW]
[ROW][C]133[/C][C]23[/C][C]25.2859261641813[/C][C]-2.28592616418132[/C][/ROW]
[ROW][C]134[/C][C]44[/C][C]44.4409880827514[/C][C]-0.440988082751355[/C][/ROW]
[ROW][C]135[/C][C]71[/C][C]52.3419449003905[/C][C]18.6580550996095[/C][/ROW]
[ROW][C]136[/C][C]116[/C][C]113.106891467269[/C][C]2.89310853273107[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]12.1978474730456[/C][C]-8.19784747304557[/C][/ROW]
[ROW][C]138[/C][C]62[/C][C]78.9482268375019[/C][C]-16.9482268375019[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]14.1479675321677[/C][C]-2.14796753216769[/C][/ROW]
[ROW][C]140[/C][C]18[/C][C]15.4396570783726[/C][C]2.56034292162741[/C][/ROW]
[ROW][C]141[/C][C]14[/C][C]20.1783156960745[/C][C]-6.17831569607449[/C][/ROW]
[ROW][C]142[/C][C]60[/C][C]51.5520452181179[/C][C]8.4479547818821[/C][/ROW]
[ROW][C]143[/C][C]7[/C][C]37.1761034847651[/C][C]-30.1761034847651[/C][/ROW]
[ROW][C]144[/C][C]98[/C][C]91.5793613296853[/C][C]6.42063867031471[/C][/ROW]
[ROW][C]145[/C][C]64[/C][C]68.9104022693602[/C][C]-4.91040226936021[/C][/ROW]
[ROW][C]146[/C][C]29[/C][C]36.7627376503352[/C][C]-7.76273765033519[/C][/ROW]
[ROW][C]147[/C][C]32[/C][C]46.4984091783399[/C][C]-14.4984091783399[/C][/ROW]
[ROW][C]148[/C][C]25[/C][C]39.1987966497433[/C][C]-14.1987966497433[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]16.4266254896059[/C][C]-0.426625489605924[/C][/ROW]
[ROW][C]150[/C][C]48[/C][C]58.8978434121985[/C][C]-10.8978434121985[/C][/ROW]
[ROW][C]151[/C][C]100[/C][C]98.68474686114[/C][C]1.31525313885997[/C][/ROW]
[ROW][C]152[/C][C]46[/C][C]60.4809483406038[/C][C]-14.4809483406038[/C][/ROW]
[ROW][C]153[/C][C]45[/C][C]41.8121617077249[/C][C]3.18783829227506[/C][/ROW]
[ROW][C]154[/C][C]129[/C][C]121.288217818617[/C][C]7.71178218138334[/C][/ROW]
[ROW][C]155[/C][C]130[/C][C]88.0913330842392[/C][C]41.9086669157608[/C][/ROW]
[ROW][C]156[/C][C]136[/C][C]125.813694909126[/C][C]10.1863050908736[/C][/ROW]
[ROW][C]157[/C][C]59[/C][C]57.3086146023789[/C][C]1.69138539762106[/C][/ROW]
[ROW][C]158[/C][C]25[/C][C]40.5126443357177[/C][C]-15.5126443357177[/C][/ROW]
[ROW][C]159[/C][C]32[/C][C]33.829110887286[/C][C]-1.82911088728604[/C][/ROW]
[ROW][C]160[/C][C]63[/C][C]65.4068682539927[/C][C]-2.40686825399265[/C][/ROW]
[ROW][C]161[/C][C]95[/C][C]126.496869812777[/C][C]-31.4968698127765[/C][/ROW]
[ROW][C]162[/C][C]14[/C][C]34.3564990325047[/C][C]-20.3564990325047[/C][/ROW]
[ROW][C]163[/C][C]36[/C][C]39.0818605084075[/C][C]-3.08186050840754[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]118.284310760526[/C][C]-5.28431076052573[/C][/ROW]
[ROW][C]165[/C][C]47[/C][C]49.1432825962902[/C][C]-2.14328259629017[/C][/ROW]
[ROW][C]166[/C][C]92[/C][C]73.2304525507103[/C][C]18.7695474492897[/C][/ROW]
[ROW][C]167[/C][C]70[/C][C]60.8958678732815[/C][C]9.1041321267185[/C][/ROW]
[ROW][C]168[/C][C]19[/C][C]46.6607814341621[/C][C]-27.6607814341621[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]39.4035808409495[/C][C]10.5964191590505[/C][/ROW]
[ROW][C]170[/C][C]41[/C][C]87.115026844267[/C][C]-46.115026844267[/C][/ROW]
[ROW][C]171[/C][C]91[/C][C]112.544471835264[/C][C]-21.5444718352639[/C][/ROW]
[ROW][C]172[/C][C]111[/C][C]69.3538180139038[/C][C]41.6461819860962[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]65.8934613407119[/C][C]-24.8934613407119[/C][/ROW]
[ROW][C]174[/C][C]120[/C][C]91.1890121721912[/C][C]28.8109878278088[/C][/ROW]
[ROW][C]175[/C][C]135[/C][C]40.9239825445148[/C][C]94.0760174554852[/C][/ROW]
[ROW][C]176[/C][C]27[/C][C]54.0238422794675[/C][C]-27.0238422794675[/C][/ROW]
[ROW][C]177[/C][C]87[/C][C]74.4237128284373[/C][C]12.5762871715627[/C][/ROW]
[ROW][C]178[/C][C]25[/C][C]35.169956488549[/C][C]-10.169956488549[/C][/ROW]
[ROW][C]179[/C][C]131[/C][C]78.2164207068761[/C][C]52.7835792931239[/C][/ROW]
[ROW][C]180[/C][C]45[/C][C]51.0007352981913[/C][C]-6.00073529819132[/C][/ROW]
[ROW][C]181[/C][C]29[/C][C]28.6403556197285[/C][C]0.359644380271522[/C][/ROW]
[ROW][C]182[/C][C]58[/C][C]32.9371804957627[/C][C]25.0628195042373[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]6.98112116498428[/C][C]-2.98112116498428[/C][/ROW]
[ROW][C]184[/C][C]47[/C][C]64.0119752208103[/C][C]-17.0119752208103[/C][/ROW]
[ROW][C]185[/C][C]109[/C][C]94.8028326938039[/C][C]14.1971673061961[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]4.57925263235436[/C][C]2.42074736764564[/C][/ROW]
[ROW][C]187[/C][C]12[/C][C]17.7948075592071[/C][C]-5.79480755920708[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]7.61118403268[/C][C]-7.61118403268[/C][/ROW]
[ROW][C]189[/C][C]37[/C][C]52.3481822917023[/C][C]-15.3481822917023[/C][/ROW]
[ROW][C]190[/C][C]37[/C][C]34.4505214125035[/C][C]2.54947858749655[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]54.3387286669193[/C][C]-8.33872866691932[/C][/ROW]
[ROW][C]192[/C][C]15[/C][C]35.7868069294987[/C][C]-20.7868069294987[/C][/ROW]
[ROW][C]193[/C][C]42[/C][C]32.5985923572091[/C][C]9.40140764279087[/C][/ROW]
[ROW][C]194[/C][C]7[/C][C]26.9274520654224[/C][C]-19.9274520654224[/C][/ROW]
[ROW][C]195[/C][C]54[/C][C]50.9736949837944[/C][C]3.02630501620555[/C][/ROW]
[ROW][C]196[/C][C]54[/C][C]44.4060927653098[/C][C]9.59390723469023[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]27.5456411230611[/C][C]-13.5456411230611[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]24.4285260312474[/C][C]-8.42852603124742[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]37.4118911558595[/C][C]-4.41189115585952[/C][/ROW]
[ROW][C]200[/C][C]32[/C][C]25.764223021119[/C][C]6.23577697888101[/C][/ROW]
[ROW][C]201[/C][C]21[/C][C]24.7384444986375[/C][C]-3.73844449863746[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]17.9202302861582[/C][C]-2.92023028615817[/C][/ROW]
[ROW][C]203[/C][C]38[/C][C]46.8033671261026[/C][C]-8.80336712610264[/C][/ROW]
[ROW][C]204[/C][C]22[/C][C]37.9334797268368[/C][C]-15.9334797268368[/C][/ROW]
[ROW][C]205[/C][C]28[/C][C]36.9833153191609[/C][C]-8.98331531916092[/C][/ROW]
[ROW][C]206[/C][C]10[/C][C]16.3104551675844[/C][C]-6.31045516758443[/C][/ROW]
[ROW][C]207[/C][C]31[/C][C]28.197911500723[/C][C]2.80208849927697[/C][/ROW]
[ROW][C]208[/C][C]32[/C][C]63.6184042211604[/C][C]-31.6184042211604[/C][/ROW]
[ROW][C]209[/C][C]32[/C][C]46.3602043446981[/C][C]-14.3602043446981[/C][/ROW]
[ROW][C]210[/C][C]43[/C][C]44.4165816970615[/C][C]-1.41658169706151[/C][/ROW]
[ROW][C]211[/C][C]27[/C][C]34.579498560849[/C][C]-7.57949856084905[/C][/ROW]
[ROW][C]212[/C][C]37[/C][C]44.1254094474745[/C][C]-7.12540944747445[/C][/ROW]
[ROW][C]213[/C][C]20[/C][C]20.1367787694791[/C][C]-0.136778769479115[/C][/ROW]
[ROW][C]214[/C][C]32[/C][C]26.6260598197315[/C][C]5.37394018026845[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]23.5580203536468[/C][C]-23.5580203536468[/C][/ROW]
[ROW][C]216[/C][C]5[/C][C]19.6844812760739[/C][C]-14.6844812760739[/C][/ROW]
[ROW][C]217[/C][C]26[/C][C]23.298244694281[/C][C]2.70175530571905[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]20.1561659019521[/C][C]-10.1561659019521[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]23.4841014112614[/C][C]3.51589858873863[/C][/ROW]
[ROW][C]220[/C][C]11[/C][C]27.9934940953677[/C][C]-16.9934940953677[/C][/ROW]
[ROW][C]221[/C][C]29[/C][C]28.2452137685038[/C][C]0.754786231496201[/C][/ROW]
[ROW][C]222[/C][C]25[/C][C]39.2209816352516[/C][C]-14.2209816352516[/C][/ROW]
[ROW][C]223[/C][C]55[/C][C]40.9538604117534[/C][C]14.0461395882466[/C][/ROW]
[ROW][C]224[/C][C]23[/C][C]24.2343106387721[/C][C]-1.23431063877214[/C][/ROW]
[ROW][C]225[/C][C]5[/C][C]10.1629946342665[/C][C]-5.1629946342665[/C][/ROW]
[ROW][C]226[/C][C]43[/C][C]47.5270936861375[/C][C]-4.52709368613752[/C][/ROW]
[ROW][C]227[/C][C]23[/C][C]25.0439492482299[/C][C]-2.04394924822995[/C][/ROW]
[ROW][C]228[/C][C]34[/C][C]21.4025680455261[/C][C]12.5974319544739[/C][/ROW]
[ROW][C]229[/C][C]36[/C][C]23.0718879771142[/C][C]12.9281120228858[/C][/ROW]
[ROW][C]230[/C][C]35[/C][C]31.1309589628572[/C][C]3.86904103714285[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]11.7641919494557[/C][C]-11.7641919494557[/C][/ROW]
[ROW][C]232[/C][C]37[/C][C]29.8496201418544[/C][C]7.15037985814558[/C][/ROW]
[ROW][C]233[/C][C]28[/C][C]32.303154710873[/C][C]-4.30315471087296[/C][/ROW]
[ROW][C]234[/C][C]16[/C][C]18.5463589771694[/C][C]-2.5463589771694[/C][/ROW]
[ROW][C]235[/C][C]26[/C][C]21.7257814806927[/C][C]4.27421851930726[/C][/ROW]
[ROW][C]236[/C][C]38[/C][C]17.2497815270955[/C][C]20.7502184729045[/C][/ROW]
[ROW][C]237[/C][C]23[/C][C]54.0603137004119[/C][C]-31.0603137004119[/C][/ROW]
[ROW][C]238[/C][C]22[/C][C]16.6713742497714[/C][C]5.32862575022863[/C][/ROW]
[ROW][C]239[/C][C]30[/C][C]27.6519873686922[/C][C]2.34801263130783[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]12.4226324735695[/C][C]3.57736752643049[/C][/ROW]
[ROW][C]241[/C][C]18[/C][C]32.3047470911489[/C][C]-14.3047470911489[/C][/ROW]
[ROW][C]242[/C][C]28[/C][C]39.4843635501739[/C][C]-11.4843635501739[/C][/ROW]
[ROW][C]243[/C][C]32[/C][C]15.2237005961489[/C][C]16.7762994038511[/C][/ROW]
[ROW][C]244[/C][C]21[/C][C]16.3914763220968[/C][C]4.60852367790318[/C][/ROW]
[ROW][C]245[/C][C]23[/C][C]23.7109935841664[/C][C]-0.710993584166406[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]30.2537501209537[/C][C]-1.25375012095367[/C][/ROW]
[ROW][C]247[/C][C]50[/C][C]37.5754744727375[/C][C]12.4245255272625[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]26.7349493935707[/C][C]-14.7349493935707[/C][/ROW]
[ROW][C]249[/C][C]21[/C][C]27.889677144783[/C][C]-6.88967714478302[/C][/ROW]
[ROW][C]250[/C][C]18[/C][C]10.8462399021733[/C][C]7.15376009782674[/C][/ROW]
[ROW][C]251[/C][C]27[/C][C]49.6764133337906[/C][C]-22.6764133337906[/C][/ROW]
[ROW][C]252[/C][C]41[/C][C]33.3226098802961[/C][C]7.67739011970391[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]4.74940607041331[/C][C]8.25059392958669[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]31.9879834974146[/C][C]-19.9879834974146[/C][/ROW]
[ROW][C]255[/C][C]21[/C][C]29.3350082954739[/C][C]-8.33500829547387[/C][/ROW]
[ROW][C]256[/C][C]8[/C][C]9.02408861646934[/C][C]-1.02408861646933[/C][/ROW]
[ROW][C]257[/C][C]26[/C][C]10.6711865548687[/C][C]15.3288134451313[/C][/ROW]
[ROW][C]258[/C][C]27[/C][C]28.3949841157004[/C][C]-1.39498411570035[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]17.9380601474613[/C][C]-4.93806014746127[/C][/ROW]
[ROW][C]260[/C][C]16[/C][C]10.8273220318903[/C][C]5.17267796810973[/C][/ROW]
[ROW][C]261[/C][C]2[/C][C]8.81193664182535[/C][C]-6.81193664182535[/C][/ROW]
[ROW][C]262[/C][C]42[/C][C]25.3598879886225[/C][C]16.6401120113775[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]11.2047536423965[/C][C]-6.20475364239646[/C][/ROW]
[ROW][C]264[/C][C]37[/C][C]18.1333058293884[/C][C]18.8666941706116[/C][/ROW]
[ROW][C]265[/C][C]17[/C][C]14.1609463896344[/C][C]2.83905361036556[/C][/ROW]
[ROW][C]266[/C][C]38[/C][C]27.7918594912543[/C][C]10.2081405087457[/C][/ROW]
[ROW][C]267[/C][C]37[/C][C]19.5282823608654[/C][C]17.4717176391346[/C][/ROW]
[ROW][C]268[/C][C]29[/C][C]15.793045365239[/C][C]13.206954634761[/C][/ROW]
[ROW][C]269[/C][C]32[/C][C]36.8671178647513[/C][C]-4.86711786475129[/C][/ROW]
[ROW][C]270[/C][C]35[/C][C]23.5145385486951[/C][C]11.4854614513049[/C][/ROW]
[ROW][C]271[/C][C]17[/C][C]33.9324588660501[/C][C]-16.9324588660501[/C][/ROW]
[ROW][C]272[/C][C]20[/C][C]21.4130111220908[/C][C]-1.41301112209076[/C][/ROW]
[ROW][C]273[/C][C]7[/C][C]14.8087761888014[/C][C]-7.8087761888014[/C][/ROW]
[ROW][C]274[/C][C]46[/C][C]33.5650287206449[/C][C]12.4349712793551[/C][/ROW]
[ROW][C]275[/C][C]24[/C][C]18.8987520258037[/C][C]5.10124797419629[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]24.0409491349663[/C][C]15.9590508650337[/C][/ROW]
[ROW][C]277[/C][C]3[/C][C]15.984609807869[/C][C]-12.984609807869[/C][/ROW]
[ROW][C]278[/C][C]10[/C][C]3.96032746059156[/C][C]6.03967253940844[/C][/ROW]
[ROW][C]279[/C][C]37[/C][C]29.6234824763567[/C][C]7.37651752364333[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]26.6244801306002[/C][C]-9.62448013060023[/C][/ROW]
[ROW][C]281[/C][C]28[/C][C]25.908414982355[/C][C]2.09158501764503[/C][/ROW]
[ROW][C]282[/C][C]19[/C][C]26.9688526382595[/C][C]-7.96885263825947[/C][/ROW]
[ROW][C]283[/C][C]29[/C][C]31.2717029527009[/C][C]-2.27170295270088[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]11.5474253773947[/C][C]-3.54742537739467[/C][/ROW]
[ROW][C]285[/C][C]10[/C][C]18.6771446121887[/C][C]-8.67714461218868[/C][/ROW]
[ROW][C]286[/C][C]15[/C][C]17.5890538013382[/C][C]-2.58905380133822[/C][/ROW]
[ROW][C]287[/C][C]15[/C][C]18.507344245264[/C][C]-3.50734424526399[/C][/ROW]
[ROW][C]288[/C][C]28[/C][C]18.1531938657297[/C][C]9.84680613427034[/C][/ROW]
[ROW][C]289[/C][C]17[/C][C]24.4978501130764[/C][C]-7.49785011307637[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202342&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202342&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
17982.448421033383-3.44842103338299
25849.99189388163458.00810611836553
36072.7648071489295-12.7648071489295
410875.007740848510632.9922591514894
54952.4993492983523-3.49934929835225
6028.6145329972695-28.6145329972695
7121146.975505890609-25.975505890609
8122.4306475358829-21.4306475358829
92045.4651444157438-25.4651444157438
104365.3636651660167-22.3636651660167
116970.4270295855898-1.42702958558979
127889.8315004955633-11.8315004955633
138667.305104832537118.6948951674629
144457.3172773973001-13.3172773973001
15104102.4108704141431.58912958585668
166371.5837571557159-8.58375715571592
17158127.67346464187430.326535358126
1810290.439134150151411.5608658498486
197788.6972237501764-11.6972237501764
208256.512528414879825.4874715851202
2111582.121622607385532.8783773926145
2210186.572662151101114.4273378488989
2380127.386124937285-47.3861249372854
245064.3911231335863-14.3911231335863
258357.61383382592525.386166174075
2612374.865614843545948.1343851564541
277370.88195143894962.11804856105043
288187.0969407868709-6.09694078687092
2910584.876111374077720.1238886259223
304754.2812480666085-7.2812480666085
3110588.588742533104616.4112574668954
329482.430979052639411.5690209473606
334468.7748900380697-24.7748900380697
3411496.633652379455517.3663476205445
353839.2033376342188-1.20333763421882
36107112.670751288126-5.67075128812551
373043.977921816952-13.977921816952
387187.2621934008934-16.2621934008933
3984121.384172199277-37.384172199277
40011.2698902547087-11.2698902547087
415966.4284464345022-7.42844643450216
423346.1139364569908-13.1139364569908
434245.5463906452934-3.54639064529336
449696.5161742614447-0.516174261444746
45106107.951233653256-1.95123365325638
465660.0948033097838-4.09480330978379
475773.9959224465948-16.9959224465948
485961.419822094906-2.41982209490603
493949.4862730214929-10.486273021493
503455.4369555963977-21.4369555963977
5176143.466821196537-67.466821196537
522036.1365199173736-16.1365199173736
539173.337362468517817.6626375314822
54115112.7526367097682.24736329023174
558564.526535762365320.4734642376347
567665.537797912383610.4622020876164
57817.4150676613407-9.4150676613407
5879101.14928482492-22.1492848249195
592132.7688167141368-11.7688167141368
603042.244574997994-12.244574997994
617690.9434789935333-14.9434789935333
6210194.11204824730846.88795175269163
6394134.207014844538-40.2070148445377
642744.6752165381839-17.6752165381839
659288.17460997182453.8253900281755
6612392.396405108082530.6035948919175
677578.7105355546754-3.71053555467539
68128118.1412406307839.85875936921709
6910591.044424846471513.9555751535285
705571.1364549656244-16.1364549656244
715680.4176521125615-24.4176521125615
724172.5773793762239-31.577379376224
737267.3153540283354.68464597166504
746753.123783712996613.8762162870034
757571.1618285241953.838171475805
7611473.9738909523440.0261090476601
7711849.07639079391968.923609206081
787774.12638588406252.87361411593751
792233.9578022537837-11.9578022537837
806675.4587499784893-9.45874997848929
816965.78473875539543.21526124460459
8210558.421266731419646.5787332685804
83116101.01585248431114.9841475156891
848889.475527062231-1.47552706223096
857366.56957487521276.43042512478729
869955.818082493130843.1819175068692
876260.02047357259381.97952642740619
885351.68093114980981.31906885019024
89118128.851236212108-10.8512362121083
903055.9291514715253-25.9291514715253
9110071.692460447112928.3075395528871
924936.136567658679212.8634323413208
932453.2732111223887-29.2732111223887
946750.693587195136216.3064128048638
954644.64344101680941.35655898319065
9657104.278747204346-47.2787472043459
977588.7301219519434-13.7301219519434
9813563.258694868229171.7413051317709
996877.5084719234815-9.5084719234815
10012469.184441746576654.8155582534234
1013355.9512741143906-22.9512741143906
1029887.758898993571110.2411010064289
1035890.7229699254559-32.7229699254559
1046864.32321447935023.67678552064985
1058169.592935753649911.4070642463501
10613184.810769659739946.1892303402601
10711099.088926851647110.9110731483529
1083739.1544633768358-2.15446337683582
109130115.48400495227914.515995047721
1109381.671909154510411.3280908454896
11111887.443355113902530.5566448860975
1123946.3916154840189-7.39161548401888
1131322.3319428181472-9.33194281814718
1147461.418896327412.5811036726
1158157.498099177656623.5019008223434
11610980.342912880307328.6570871196927
11715187.988635463763.0113645363
1185183.1876378212513-32.1876378212513
1192837.810662188128-9.810662188128
1204040.2434121378995-0.243412137899495
1215653.48415745984792.51584254015207
1222725.61051693612581.38948306387424
1233752.8201180987841-15.8201180987841
1248338.867118653172944.1328813468271
1255480.6543316674326-26.6543316674326
1262733.7214869946811-6.7214869946811
1272839.7233718341203-11.7233718341203
1285942.052548164364716.9474518356353
12913388.468188647127944.5318113528721
1301213.8313769413174-1.83137694131743
131019.8712105922435-19.8712105922435
13210657.903001301111848.0969986988882
1332325.2859261641813-2.28592616418132
1344444.4409880827514-0.440988082751355
1357152.341944900390518.6580550996095
136116113.1068914672692.89310853273107
137412.1978474730456-8.19784747304557
1386278.9482268375019-16.9482268375019
1391214.1479675321677-2.14796753216769
1401815.43965707837262.56034292162741
1411420.1783156960745-6.17831569607449
1426051.55204521811798.4479547818821
143737.1761034847651-30.1761034847651
1449891.57936132968536.42063867031471
1456468.9104022693602-4.91040226936021
1462936.7627376503352-7.76273765033519
1473246.4984091783399-14.4984091783399
1482539.1987966497433-14.1987966497433
1491616.4266254896059-0.426625489605924
1504858.8978434121985-10.8978434121985
15110098.684746861141.31525313885997
1524660.4809483406038-14.4809483406038
1534541.81216170772493.18783829227506
154129121.2882178186177.71178218138334
15513088.091333084239241.9086669157608
156136125.81369490912610.1863050908736
1575957.30861460237891.69138539762106
1582540.5126443357177-15.5126443357177
1593233.829110887286-1.82911088728604
1606365.4068682539927-2.40686825399265
16195126.496869812777-31.4968698127765
1621434.3564990325047-20.3564990325047
1633639.0818605084075-3.08186050840754
164113118.284310760526-5.28431076052573
1654749.1432825962902-2.14328259629017
1669273.230452550710318.7695474492897
1677060.89586787328159.1041321267185
1681946.6607814341621-27.6607814341621
1695039.403580840949510.5964191590505
1704187.115026844267-46.115026844267
17191112.544471835264-21.5444718352639
17211169.353818013903841.6461819860962
1734165.8934613407119-24.8934613407119
17412091.189012172191228.8109878278088
17513540.923982544514894.0760174554852
1762754.0238422794675-27.0238422794675
1778774.423712828437312.5762871715627
1782535.169956488549-10.169956488549
17913178.216420706876152.7835792931239
1804551.0007352981913-6.00073529819132
1812928.64035561972850.359644380271522
1825832.937180495762725.0628195042373
18346.98112116498428-2.98112116498428
1844764.0119752208103-17.0119752208103
18510994.802832693803914.1971673061961
18674.579252632354362.42074736764564
1871217.7948075592071-5.79480755920708
18807.61118403268-7.61118403268
1893752.3481822917023-15.3481822917023
1903734.45052141250352.54947858749655
1914654.3387286669193-8.33872866691932
1921535.7868069294987-20.7868069294987
1934232.59859235720919.40140764279087
194726.9274520654224-19.9274520654224
1955450.97369498379443.02630501620555
1965444.40609276530989.59390723469023
1971427.5456411230611-13.5456411230611
1981624.4285260312474-8.42852603124742
1993337.4118911558595-4.41189115585952
2003225.7642230211196.23577697888101
2012124.7384444986375-3.73844449863746
2021517.9202302861582-2.92023028615817
2033846.8033671261026-8.80336712610264
2042237.9334797268368-15.9334797268368
2052836.9833153191609-8.98331531916092
2061016.3104551675844-6.31045516758443
2073128.1979115007232.80208849927697
2083263.6184042211604-31.6184042211604
2093246.3602043446981-14.3602043446981
2104344.4165816970615-1.41658169706151
2112734.579498560849-7.57949856084905
2123744.1254094474745-7.12540944747445
2132020.1367787694791-0.136778769479115
2143226.62605981973155.37394018026845
215023.5580203536468-23.5580203536468
216519.6844812760739-14.6844812760739
2172623.2982446942812.70175530571905
2181020.1561659019521-10.1561659019521
2192723.48410141126143.51589858873863
2201127.9934940953677-16.9934940953677
2212928.24521376850380.754786231496201
2222539.2209816352516-14.2209816352516
2235540.953860411753414.0461395882466
2242324.2343106387721-1.23431063877214
225510.1629946342665-5.1629946342665
2264347.5270936861375-4.52709368613752
2272325.0439492482299-2.04394924822995
2283421.402568045526112.5974319544739
2293623.071887977114212.9281120228858
2303531.13095896285723.86904103714285
231011.7641919494557-11.7641919494557
2323729.84962014185447.15037985814558
2332832.303154710873-4.30315471087296
2341618.5463589771694-2.5463589771694
2352621.72578148069274.27421851930726
2363817.249781527095520.7502184729045
2372354.0603137004119-31.0603137004119
2382216.67137424977145.32862575022863
2393027.65198736869222.34801263130783
2401612.42263247356953.57736752643049
2411832.3047470911489-14.3047470911489
2422839.4843635501739-11.4843635501739
2433215.223700596148916.7762994038511
2442116.39147632209684.60852367790318
2452323.7109935841664-0.710993584166406
2462930.2537501209537-1.25375012095367
2475037.575474472737512.4245255272625
2481226.7349493935707-14.7349493935707
2492127.889677144783-6.88967714478302
2501810.84623990217337.15376009782674
2512749.6764133337906-22.6764133337906
2524133.32260988029617.67739011970391
253134.749406070413318.25059392958669
2541231.9879834974146-19.9879834974146
2552129.3350082954739-8.33500829547387
25689.02408861646934-1.02408861646933
2572610.671186554868715.3288134451313
2582728.3949841157004-1.39498411570035
2591317.9380601474613-4.93806014746127
2601610.82732203189035.17267796810973
26128.81193664182535-6.81193664182535
2624225.359887988622516.6401120113775
263511.2047536423965-6.20475364239646
2643718.133305829388418.8666941706116
2651714.16094638963442.83905361036556
2663827.791859491254310.2081405087457
2673719.528282360865417.4717176391346
2682915.79304536523913.206954634761
2693236.8671178647513-4.86711786475129
2703523.514538548695111.4854614513049
2711733.9324588660501-16.9324588660501
2722021.4130111220908-1.41301112209076
273714.8087761888014-7.8087761888014
2744633.565028720644912.4349712793551
2752418.89875202580375.10124797419629
2764024.040949134966315.9590508650337
277315.984609807869-12.984609807869
278103.960327460591566.03967253940844
2793729.62348247635677.37651752364333
2801726.6244801306002-9.62448013060023
2812825.9084149823552.09158501764503
2821926.9688526382595-7.96885263825947
2832931.2717029527009-2.27170295270088
284811.5474253773947-3.54742537739467
2851018.6771446121887-8.67714461218868
2861517.5890538013382-2.58905380133822
2871518.507344245264-3.50734424526399
2882818.15319386572979.84680613427034
2891724.4978501130764-7.49785011307637






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1603370908342830.3206741816685670.839662909165717
90.2032914414201860.4065828828403720.796708558579814
100.1284627826054380.2569255652108770.871537217394562
110.4417171722981720.8834343445963440.558282827701828
120.3855059834703520.7710119669407040.614494016529648
130.4009396740066140.8018793480132270.599060325993387
140.3040936953753890.6081873907507770.695906304624611
150.3344140569083880.6688281138167750.665585943091612
160.2529589345078150.505917869015630.747041065492185
170.1899751653862720.3799503307725430.810024834613728
180.2505218835888310.5010437671776610.749478116411169
190.2905588850039210.5811177700078420.709441114996079
200.4373352684563690.8746705369127390.562664731543631
210.509168670917050.98166265816590.49083132908295
220.4429662469061670.8859324938123340.557033753093833
230.657556865763490.6848862684730190.34244313423651
240.6191795895416860.7616408209166270.380820410458314
250.6126316951772650.774736609645470.387368304822735
260.6032668867635350.793466226472930.396733113236465
270.6182041153558940.7635917692882120.381795884644106
280.6115141675981820.7769716648036350.388485832401818
290.6273749698093560.7452500603812890.372625030190644
300.6096926812117380.7806146375765250.390307318788262
310.5734039632464290.8531920735071430.426596036753571
320.5228747754588760.9542504490822470.477125224541124
330.6192656260067260.7614687479865480.380734373993274
340.6239043787227370.7521912425545270.376095621277264
350.5797465918918830.8405068162162350.420253408108117
360.5451068761396620.9097862477206750.454893123860338
370.5291451160862830.9417097678274350.470854883913717
380.5335650596508230.9328698806983540.466434940349177
390.6578990536705780.6842018926588440.342100946329422
400.6256395324079780.7487209351840440.374360467592022
410.5825184845309920.8349630309380150.417481515469008
420.5437931994542370.9124136010915270.456206800545763
430.5306003908566030.9387992182867940.469399609143397
440.4819354739896940.9638709479793880.518064526010306
450.4373041110215860.8746082220431720.562695888978414
460.390863812254280.781727624508560.60913618774572
470.4431348961908340.8862697923816670.556865103809166
480.3989313962159080.7978627924318150.601068603784092
490.3590818767357330.7181637534714660.640918123264267
500.3832868956951970.7665737913903940.616713104304803
510.7554573165676790.4890853668646430.244542683432321
520.7296170431307770.5407659137384460.270382956869223
530.7525698152646990.4948603694706020.247430184735301
540.7325186649535010.5349626700929980.267481335046499
550.7624331821887240.4751336356225510.237566817811276
560.7449757446869160.5100485106261680.255024255313084
570.7144561147890690.5710877704218630.285543885210931
580.719113711990650.56177257601870.28088628800935
590.6887083160655570.6225833678688850.311291683934443
600.6580690123458430.6838619753083150.341930987654157
610.6276951806577560.7446096386844890.372304819342244
620.6136084937119580.7727830125760840.386391506288042
630.688129479359360.623741041281280.31187052064064
640.6677140450455490.6645719099089010.332285954954451
650.6453299596843730.7093400806312530.354670040315627
660.7316474744350230.5367050511299530.268352525564977
670.699639648272550.60072070345490.30036035172745
680.6882965230376350.623406953924730.311703476962365
690.6815949081595690.6368101836808620.318405091840431
700.6632356515716220.6735286968567570.336764348428378
710.6676164187461270.6647671625077450.332383581253873
720.6975205477205870.6049589045588250.302479452279412
730.6738481518292060.6523036963415870.326151848170794
740.6631931503962870.6736136992074250.336806849603713
750.6321709717011660.7356580565976680.367829028298834
760.7508380898075870.4983238203848260.249161910192413
770.9479590101467150.1040819797065690.0520409898532846
780.9373700962397290.1252598075205420.062629903760271
790.9314342237739360.1371315524521280.068565776226064
800.9217567997670650.156486400465870.0782432002329348
810.9075328853618930.1849342292762140.0924671146381069
820.9516470037227010.09670599255459780.0483529962772989
830.9458656864592580.1082686270814840.0541343135407422
840.9353660726361110.1292678547277770.0646339273638886
850.9231397172466030.1537205655067950.0768602827533974
860.9516791196067360.09664176078652860.0483208803932643
870.941977686974330.116044626051340.05802231302567
880.9309758847793610.1380482304412770.0690241152206387
890.923169734962840.153660530074320.07683026503716
900.9370798491893650.1258403016212690.0629201508106346
910.9418532049565940.1162935900868120.058146795043406
920.9323556169861270.1352887660277460.0676443830138728
930.9495076896324330.1009846207351330.0504923103675665
940.9430775990887550.1138448018224910.0569224009112455
950.9324881135183790.1350237729632410.0675118864816207
960.9724291423540090.05514171529198220.0275708576459911
970.9702126323162370.05957473536752570.0297873676837629
980.9971821622564910.005635675487018830.00281783774350942
990.9966877960556520.006624407888696750.00331220394434838
1000.9992235228108190.001552954378361240.00077647718918062
1010.9993935406864330.001212918627134090.000606459313567044
1020.9992051374097180.001589725180565090.000794862590282545
1030.9995822405100350.0008355189799293410.00041775948996467
1040.9994306452023620.00113870959527680.000569354797638402
1050.9992609055013820.001478188997236680.000739094498618339
1060.9997392766293460.0005214467413072280.000260723370653614
1070.9996555244834260.0006889510331472460.000344475516573623
1080.9995535950240620.0008928099518768630.000446404975938432
1090.9994475170859990.001104965828002350.000552482914001174
1100.9992813052451770.001437389509646230.000718694754823113
1110.9994182928900370.001163414219925330.000581707109962664
1120.9992985068999040.001402986200192160.00070149310009608
1130.9992088625092080.00158227498158350.000791137490791748
1140.9989967896148110.002006420770378560.00100321038518928
1150.9989732826284520.002053434743095470.00102671737154774
1160.9991118861040830.001776227791833780.000888113895916888
1170.9999243647132930.0001512705734135277.56352867067634e-05
1180.999966058479686.78830406393902e-053.39415203196951e-05
1190.9999604305663277.91388673464524e-053.95694336732262e-05
1200.9999456806322090.0001086387355824475.43193677912234e-05
1210.9999247941036150.000150411792769597.52058963847951e-05
1220.9998965006429170.0002069987141659180.000103499357082959
1230.9998953129202780.000209374159443550.000104687079721775
1240.9999660034014586.79931970845134e-053.39965985422567e-05
1250.9999789437189544.21125620910678e-052.10562810455339e-05
1260.9999730261483015.39477033979961e-052.6973851698998e-05
1270.9999687893389566.24213220876062e-053.12106610438031e-05
1280.9999636139417157.27721165697583e-053.63860582848792e-05
1290.9999903001099521.93997800961257e-059.69989004806285e-06
1300.999986664765532.66704689406359e-051.3335234470318e-05
1310.9999882904111952.34191776090866e-051.17095888045433e-05
1320.9999981364539563.72709208748716e-061.86354604374358e-06
1330.9999973559182535.28816349496907e-062.64408174748454e-06
1340.9999961590702447.68185951243387e-063.84092975621693e-06
1350.9999959975295728.00494085646837e-064.00247042823418e-06
1360.9999942726208441.1454758312413e-055.72737915620652e-06
1370.9999925799758531.48400482938797e-057.42002414693986e-06
1380.999992385810511.52283789794347e-057.61418948971735e-06
1390.9999892600166962.14799666073203e-051.07399833036602e-05
1400.99998486035773.02792846007127e-051.51396423003564e-05
1410.9999795266982294.09466035415328e-052.04733017707664e-05
1420.9999727461727785.45076544449272e-052.72538272224636e-05
1430.9999847129708243.05740583521059e-051.52870291760529e-05
1440.9999788642480744.22715038526165e-052.11357519263083e-05
1450.9999709459813565.81080372872223e-052.90540186436112e-05
1460.9999614537179557.7092564090872e-053.8546282045436e-05
1470.9999563972190948.72055618123315e-054.36027809061657e-05
1480.9999501647636399.96704727224675e-054.98352363612337e-05
1490.9999298180139520.0001403639720969167.01819860484581e-05
1500.9999131535248620.0001736929502757538.68464751378763e-05
1510.9998791903895970.0002416192208061940.000120809610403097
1520.9998640575183320.0002718849633369360.000135942481668468
1530.9998123367047970.0003753265904065490.000187663295203275
1540.9997556539401050.0004886921197895720.000244346059894786
1550.9999322115057430.0001355769885144076.77884942572035e-05
1560.9999231348185210.0001537303629575757.68651814787874e-05
1570.9998951700688710.0002096598622578570.000104829931128929
1580.9998830285025580.0002339429948840540.000116971497442027
1590.9998379784855420.0003240430289166260.000162021514458313
1600.9997782671012740.0004434657974511820.000221732898725591
1610.9998580058982840.0002839882034315240.000141994101715762
1620.9998673415530970.0002653168938066370.000132658446903318
1630.9998187339834480.0003625320331032130.000181266016551606
1640.9997527885426690.0004944229146628320.000247211457331416
1650.9996616871110730.0006766257778531990.000338312888926599
1660.9996978068516260.0006043862967478110.000302193148373906
1670.999617999399860.0007640012002793120.000382000600139656
1680.9997502544689550.0004994910620905250.000249745531045263
1690.999681007495370.0006379850092607540.000318992504630377
1700.9999295941661520.0001408116676957.04058338474999e-05
1710.9999398637369320.0001202725261359856.01362630679925e-05
1720.9999859752454942.80495090121302e-051.40247545060651e-05
1730.9999905340165221.89319669552022e-059.46598347760111e-06
1740.9999950347733069.9304533874727e-064.96522669373635e-06
1750.9999999999984123.17558044341504e-121.58779022170752e-12
1760.9999999999991821.63553389316608e-128.1776694658304e-13
1770.9999999999991331.73446719098455e-128.67233595492276e-13
1780.9999999999985292.942563335796e-121.471281667898e-12
17917.05779421123516e-173.52889710561758e-17
18011.41292874212643e-167.06464371063216e-17
18113.16804162519025e-161.58402081259512e-16
18218.6629855974362e-174.3314927987181e-17
18311.9221421734422e-169.61071086721101e-17
18413.39572251186631e-161.69786125593315e-16
18517.77683473200133e-183.88841736600066e-18
18611.83332117968753e-179.16660589843764e-18
18714.07446041464208e-172.03723020732104e-17
18817.4860371982659e-173.74301859913295e-17
18911.43492965829879e-167.17464829149396e-17
19012.15081291664043e-161.07540645832022e-16
19113.76608302947951e-161.88304151473975e-16
19214.06262018275787e-162.03131009137893e-16
19315.64962497991968e-162.82481248995984e-16
19412.16467707417847e-161.08233853708923e-16
19511.59009435987536e-167.95047179937682e-17
19617.76086565614697e-173.88043282807349e-17
19711.23884945108547e-166.19424725542737e-17
19812.78918213899799e-161.394591069499e-16
19916.58757123812776e-163.29378561906388e-16
20019.45146490501017e-164.72573245250509e-16
2010.9999999999999992.20754166315111e-151.10377083157556e-15
2020.9999999999999975.16365334391364e-152.58182667195682e-15
2030.9999999999999951.07611101676703e-145.38055508383513e-15
2040.9999999999999911.84260148066583e-149.21300740332915e-15
2050.9999999999999823.58969328530853e-141.79484664265427e-14
2060.9999999999999657.06389429853947e-143.53194714926973e-14
2070.9999999999999281.45074102095394e-137.25370510476971e-14
2080.9999999999999151.70198846621851e-138.50994233109255e-14
2090.999999999999823.60614869927132e-131.80307434963566e-13
2100.9999999999997255.50559995701118e-132.75279997850559e-13
2110.9999999999994011.19732326455815e-125.98661632279073e-13
2120.9999999999987672.46584404239023e-121.23292202119511e-12
2130.9999999999973145.37281286567734e-122.68640643283867e-12
2140.9999999999965686.86464186087816e-123.43232093043908e-12
2150.9999999999994161.16781944530152e-125.8390972265076e-13
2160.9999999999994861.02760555762392e-125.13802778811958e-13
2170.9999999999988262.34795889718093e-121.17397944859046e-12
2180.999999999998353.30090315507402e-121.65045157753701e-12
2190.9999999999966936.61435723457499e-123.30717861728749e-12
2200.9999999999950859.83057279814245e-124.91528639907122e-12
2210.9999999999889442.21112467978255e-111.10556233989127e-11
2220.999999999988712.25798019317615e-111.12899009658808e-11
2230.9999999999813783.72433957172208e-111.86216978586104e-11
2240.9999999999579948.40109110470858e-114.20054555235429e-11
2250.9999999999335051.32990698114572e-106.64953490572858e-11
2260.9999999998539032.92194976286055e-101.46097488143027e-10
2270.9999999996806616.38677226784351e-103.19338613392175e-10
2280.9999999995378139.24373644891587e-104.62186822445793e-10
2290.9999999992443271.51134629504282e-097.55673147521412e-10
2300.9999999983888133.22237381546358e-091.61118690773179e-09
2310.9999999990772921.84541505709077e-099.22707528545387e-10
2320.9999999983471723.30565687205361e-091.6528284360268e-09
2330.9999999967507026.49859645054295e-093.24929822527148e-09
2340.9999999942222221.15555569035766e-085.7777784517883e-09
2350.9999999876598842.46802326711632e-081.23401163355816e-08
2360.9999999922766371.54467268381705e-087.72336341908523e-09
2370.9999999943846861.12306273523906e-085.61531367619528e-09
2380.999999987701942.45961208492919e-081.2298060424646e-08
2390.9999999732598295.3480341508216e-082.6740170754108e-08
2400.999999943466551.13066899902317e-075.65334499511585e-08
2410.9999999440773081.11845384249438e-075.59226921247191e-08
2420.9999998827575032.34484994370045e-071.17242497185022e-07
2430.9999998840055732.31988854421517e-071.15994427210758e-07
2440.9999997547970874.90405825566694e-072.45202912783347e-07
2450.9999994943125581.01137488481729e-065.05687442408646e-07
2460.9999989999924642.00001507241716e-061.00000753620858e-06
2470.9999988770497762.24590044731409e-061.12295022365704e-06
2480.9999987891735032.42165299328103e-061.21082649664052e-06
2490.9999978095632774.3808734461415e-062.19043672307075e-06
2500.9999955387387738.92252245469551e-064.46126122734776e-06
2510.9999965350337246.92993255138344e-063.46496627569172e-06
2520.9999935757815861.28484368279463e-056.42421841397314e-06
2530.9999870475049262.59049901480259e-051.2952495074013e-05
2540.9999951133659379.77326812572281e-064.8866340628614e-06
2550.9999956062669018.78746619835498e-064.39373309917749e-06
2560.9999924097457911.51805084181889e-057.59025420909447e-06
2570.9999877684053912.44631892185101e-051.2231594609255e-05
2580.9999784887647034.30224705933326e-052.15112352966663e-05
2590.99997168746865.66250627999978e-052.83125313999989e-05
2600.9999400809311590.0001198381376818095.99190688409043e-05
2610.999950892547829.82149043590407e-054.91074521795204e-05
2620.9999250355064160.0001499289871689687.49644935844838e-05
2630.9999414168647990.000117166270401185.85831352005898e-05
2640.9999158849398570.0001682301202862778.41150601431383e-05
2650.9998405252201970.0003189495596064770.000159474779803239
2660.999706796000930.0005864079981402290.000293203999070115
2670.9996193921103840.0007612157792321240.000380607889616062
2680.9993939953288630.001212009342274130.000606004671137064
2690.9986889325881090.002622134823781570.00131106741189078
2700.9982613343757660.00347733124846740.0017386656242337
2710.9998954945631830.0002090108736342850.000104505436817142
2720.9997045983623420.0005908032753152630.000295401637657631
2730.9998346622612670.0003306754774658030.000165337738732902
2740.9995399042038160.0009201915923678720.000460095796183936
2750.9987472423283480.002505515343303930.00125275767165197
2760.9977076600826690.004584679834661830.00229233991733092
2770.9987322708927930.002535458214414260.00126772910720713
2780.9963703827052970.007259234589405830.00362961729470292
2790.9913835249063460.0172329501873080.008616475093654
2800.9715247681464010.05695046370719810.028475231853599
2810.9783732582499880.04325348350002440.0216267417500122

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.160337090834283 & 0.320674181668567 & 0.839662909165717 \tabularnewline
9 & 0.203291441420186 & 0.406582882840372 & 0.796708558579814 \tabularnewline
10 & 0.128462782605438 & 0.256925565210877 & 0.871537217394562 \tabularnewline
11 & 0.441717172298172 & 0.883434344596344 & 0.558282827701828 \tabularnewline
12 & 0.385505983470352 & 0.771011966940704 & 0.614494016529648 \tabularnewline
13 & 0.400939674006614 & 0.801879348013227 & 0.599060325993387 \tabularnewline
14 & 0.304093695375389 & 0.608187390750777 & 0.695906304624611 \tabularnewline
15 & 0.334414056908388 & 0.668828113816775 & 0.665585943091612 \tabularnewline
16 & 0.252958934507815 & 0.50591786901563 & 0.747041065492185 \tabularnewline
17 & 0.189975165386272 & 0.379950330772543 & 0.810024834613728 \tabularnewline
18 & 0.250521883588831 & 0.501043767177661 & 0.749478116411169 \tabularnewline
19 & 0.290558885003921 & 0.581117770007842 & 0.709441114996079 \tabularnewline
20 & 0.437335268456369 & 0.874670536912739 & 0.562664731543631 \tabularnewline
21 & 0.50916867091705 & 0.9816626581659 & 0.49083132908295 \tabularnewline
22 & 0.442966246906167 & 0.885932493812334 & 0.557033753093833 \tabularnewline
23 & 0.65755686576349 & 0.684886268473019 & 0.34244313423651 \tabularnewline
24 & 0.619179589541686 & 0.761640820916627 & 0.380820410458314 \tabularnewline
25 & 0.612631695177265 & 0.77473660964547 & 0.387368304822735 \tabularnewline
26 & 0.603266886763535 & 0.79346622647293 & 0.396733113236465 \tabularnewline
27 & 0.618204115355894 & 0.763591769288212 & 0.381795884644106 \tabularnewline
28 & 0.611514167598182 & 0.776971664803635 & 0.388485832401818 \tabularnewline
29 & 0.627374969809356 & 0.745250060381289 & 0.372625030190644 \tabularnewline
30 & 0.609692681211738 & 0.780614637576525 & 0.390307318788262 \tabularnewline
31 & 0.573403963246429 & 0.853192073507143 & 0.426596036753571 \tabularnewline
32 & 0.522874775458876 & 0.954250449082247 & 0.477125224541124 \tabularnewline
33 & 0.619265626006726 & 0.761468747986548 & 0.380734373993274 \tabularnewline
34 & 0.623904378722737 & 0.752191242554527 & 0.376095621277264 \tabularnewline
35 & 0.579746591891883 & 0.840506816216235 & 0.420253408108117 \tabularnewline
36 & 0.545106876139662 & 0.909786247720675 & 0.454893123860338 \tabularnewline
37 & 0.529145116086283 & 0.941709767827435 & 0.470854883913717 \tabularnewline
38 & 0.533565059650823 & 0.932869880698354 & 0.466434940349177 \tabularnewline
39 & 0.657899053670578 & 0.684201892658844 & 0.342100946329422 \tabularnewline
40 & 0.625639532407978 & 0.748720935184044 & 0.374360467592022 \tabularnewline
41 & 0.582518484530992 & 0.834963030938015 & 0.417481515469008 \tabularnewline
42 & 0.543793199454237 & 0.912413601091527 & 0.456206800545763 \tabularnewline
43 & 0.530600390856603 & 0.938799218286794 & 0.469399609143397 \tabularnewline
44 & 0.481935473989694 & 0.963870947979388 & 0.518064526010306 \tabularnewline
45 & 0.437304111021586 & 0.874608222043172 & 0.562695888978414 \tabularnewline
46 & 0.39086381225428 & 0.78172762450856 & 0.60913618774572 \tabularnewline
47 & 0.443134896190834 & 0.886269792381667 & 0.556865103809166 \tabularnewline
48 & 0.398931396215908 & 0.797862792431815 & 0.601068603784092 \tabularnewline
49 & 0.359081876735733 & 0.718163753471466 & 0.640918123264267 \tabularnewline
50 & 0.383286895695197 & 0.766573791390394 & 0.616713104304803 \tabularnewline
51 & 0.755457316567679 & 0.489085366864643 & 0.244542683432321 \tabularnewline
52 & 0.729617043130777 & 0.540765913738446 & 0.270382956869223 \tabularnewline
53 & 0.752569815264699 & 0.494860369470602 & 0.247430184735301 \tabularnewline
54 & 0.732518664953501 & 0.534962670092998 & 0.267481335046499 \tabularnewline
55 & 0.762433182188724 & 0.475133635622551 & 0.237566817811276 \tabularnewline
56 & 0.744975744686916 & 0.510048510626168 & 0.255024255313084 \tabularnewline
57 & 0.714456114789069 & 0.571087770421863 & 0.285543885210931 \tabularnewline
58 & 0.71911371199065 & 0.5617725760187 & 0.28088628800935 \tabularnewline
59 & 0.688708316065557 & 0.622583367868885 & 0.311291683934443 \tabularnewline
60 & 0.658069012345843 & 0.683861975308315 & 0.341930987654157 \tabularnewline
61 & 0.627695180657756 & 0.744609638684489 & 0.372304819342244 \tabularnewline
62 & 0.613608493711958 & 0.772783012576084 & 0.386391506288042 \tabularnewline
63 & 0.68812947935936 & 0.62374104128128 & 0.31187052064064 \tabularnewline
64 & 0.667714045045549 & 0.664571909908901 & 0.332285954954451 \tabularnewline
65 & 0.645329959684373 & 0.709340080631253 & 0.354670040315627 \tabularnewline
66 & 0.731647474435023 & 0.536705051129953 & 0.268352525564977 \tabularnewline
67 & 0.69963964827255 & 0.6007207034549 & 0.30036035172745 \tabularnewline
68 & 0.688296523037635 & 0.62340695392473 & 0.311703476962365 \tabularnewline
69 & 0.681594908159569 & 0.636810183680862 & 0.318405091840431 \tabularnewline
70 & 0.663235651571622 & 0.673528696856757 & 0.336764348428378 \tabularnewline
71 & 0.667616418746127 & 0.664767162507745 & 0.332383581253873 \tabularnewline
72 & 0.697520547720587 & 0.604958904558825 & 0.302479452279412 \tabularnewline
73 & 0.673848151829206 & 0.652303696341587 & 0.326151848170794 \tabularnewline
74 & 0.663193150396287 & 0.673613699207425 & 0.336806849603713 \tabularnewline
75 & 0.632170971701166 & 0.735658056597668 & 0.367829028298834 \tabularnewline
76 & 0.750838089807587 & 0.498323820384826 & 0.249161910192413 \tabularnewline
77 & 0.947959010146715 & 0.104081979706569 & 0.0520409898532846 \tabularnewline
78 & 0.937370096239729 & 0.125259807520542 & 0.062629903760271 \tabularnewline
79 & 0.931434223773936 & 0.137131552452128 & 0.068565776226064 \tabularnewline
80 & 0.921756799767065 & 0.15648640046587 & 0.0782432002329348 \tabularnewline
81 & 0.907532885361893 & 0.184934229276214 & 0.0924671146381069 \tabularnewline
82 & 0.951647003722701 & 0.0967059925545978 & 0.0483529962772989 \tabularnewline
83 & 0.945865686459258 & 0.108268627081484 & 0.0541343135407422 \tabularnewline
84 & 0.935366072636111 & 0.129267854727777 & 0.0646339273638886 \tabularnewline
85 & 0.923139717246603 & 0.153720565506795 & 0.0768602827533974 \tabularnewline
86 & 0.951679119606736 & 0.0966417607865286 & 0.0483208803932643 \tabularnewline
87 & 0.94197768697433 & 0.11604462605134 & 0.05802231302567 \tabularnewline
88 & 0.930975884779361 & 0.138048230441277 & 0.0690241152206387 \tabularnewline
89 & 0.92316973496284 & 0.15366053007432 & 0.07683026503716 \tabularnewline
90 & 0.937079849189365 & 0.125840301621269 & 0.0629201508106346 \tabularnewline
91 & 0.941853204956594 & 0.116293590086812 & 0.058146795043406 \tabularnewline
92 & 0.932355616986127 & 0.135288766027746 & 0.0676443830138728 \tabularnewline
93 & 0.949507689632433 & 0.100984620735133 & 0.0504923103675665 \tabularnewline
94 & 0.943077599088755 & 0.113844801822491 & 0.0569224009112455 \tabularnewline
95 & 0.932488113518379 & 0.135023772963241 & 0.0675118864816207 \tabularnewline
96 & 0.972429142354009 & 0.0551417152919822 & 0.0275708576459911 \tabularnewline
97 & 0.970212632316237 & 0.0595747353675257 & 0.0297873676837629 \tabularnewline
98 & 0.997182162256491 & 0.00563567548701883 & 0.00281783774350942 \tabularnewline
99 & 0.996687796055652 & 0.00662440788869675 & 0.00331220394434838 \tabularnewline
100 & 0.999223522810819 & 0.00155295437836124 & 0.00077647718918062 \tabularnewline
101 & 0.999393540686433 & 0.00121291862713409 & 0.000606459313567044 \tabularnewline
102 & 0.999205137409718 & 0.00158972518056509 & 0.000794862590282545 \tabularnewline
103 & 0.999582240510035 & 0.000835518979929341 & 0.00041775948996467 \tabularnewline
104 & 0.999430645202362 & 0.0011387095952768 & 0.000569354797638402 \tabularnewline
105 & 0.999260905501382 & 0.00147818899723668 & 0.000739094498618339 \tabularnewline
106 & 0.999739276629346 & 0.000521446741307228 & 0.000260723370653614 \tabularnewline
107 & 0.999655524483426 & 0.000688951033147246 & 0.000344475516573623 \tabularnewline
108 & 0.999553595024062 & 0.000892809951876863 & 0.000446404975938432 \tabularnewline
109 & 0.999447517085999 & 0.00110496582800235 & 0.000552482914001174 \tabularnewline
110 & 0.999281305245177 & 0.00143738950964623 & 0.000718694754823113 \tabularnewline
111 & 0.999418292890037 & 0.00116341421992533 & 0.000581707109962664 \tabularnewline
112 & 0.999298506899904 & 0.00140298620019216 & 0.00070149310009608 \tabularnewline
113 & 0.999208862509208 & 0.0015822749815835 & 0.000791137490791748 \tabularnewline
114 & 0.998996789614811 & 0.00200642077037856 & 0.00100321038518928 \tabularnewline
115 & 0.998973282628452 & 0.00205343474309547 & 0.00102671737154774 \tabularnewline
116 & 0.999111886104083 & 0.00177622779183378 & 0.000888113895916888 \tabularnewline
117 & 0.999924364713293 & 0.000151270573413527 & 7.56352867067634e-05 \tabularnewline
118 & 0.99996605847968 & 6.78830406393902e-05 & 3.39415203196951e-05 \tabularnewline
119 & 0.999960430566327 & 7.91388673464524e-05 & 3.95694336732262e-05 \tabularnewline
120 & 0.999945680632209 & 0.000108638735582447 & 5.43193677912234e-05 \tabularnewline
121 & 0.999924794103615 & 0.00015041179276959 & 7.52058963847951e-05 \tabularnewline
122 & 0.999896500642917 & 0.000206998714165918 & 0.000103499357082959 \tabularnewline
123 & 0.999895312920278 & 0.00020937415944355 & 0.000104687079721775 \tabularnewline
124 & 0.999966003401458 & 6.79931970845134e-05 & 3.39965985422567e-05 \tabularnewline
125 & 0.999978943718954 & 4.21125620910678e-05 & 2.10562810455339e-05 \tabularnewline
126 & 0.999973026148301 & 5.39477033979961e-05 & 2.6973851698998e-05 \tabularnewline
127 & 0.999968789338956 & 6.24213220876062e-05 & 3.12106610438031e-05 \tabularnewline
128 & 0.999963613941715 & 7.27721165697583e-05 & 3.63860582848792e-05 \tabularnewline
129 & 0.999990300109952 & 1.93997800961257e-05 & 9.69989004806285e-06 \tabularnewline
130 & 0.99998666476553 & 2.66704689406359e-05 & 1.3335234470318e-05 \tabularnewline
131 & 0.999988290411195 & 2.34191776090866e-05 & 1.17095888045433e-05 \tabularnewline
132 & 0.999998136453956 & 3.72709208748716e-06 & 1.86354604374358e-06 \tabularnewline
133 & 0.999997355918253 & 5.28816349496907e-06 & 2.64408174748454e-06 \tabularnewline
134 & 0.999996159070244 & 7.68185951243387e-06 & 3.84092975621693e-06 \tabularnewline
135 & 0.999995997529572 & 8.00494085646837e-06 & 4.00247042823418e-06 \tabularnewline
136 & 0.999994272620844 & 1.1454758312413e-05 & 5.72737915620652e-06 \tabularnewline
137 & 0.999992579975853 & 1.48400482938797e-05 & 7.42002414693986e-06 \tabularnewline
138 & 0.99999238581051 & 1.52283789794347e-05 & 7.61418948971735e-06 \tabularnewline
139 & 0.999989260016696 & 2.14799666073203e-05 & 1.07399833036602e-05 \tabularnewline
140 & 0.9999848603577 & 3.02792846007127e-05 & 1.51396423003564e-05 \tabularnewline
141 & 0.999979526698229 & 4.09466035415328e-05 & 2.04733017707664e-05 \tabularnewline
142 & 0.999972746172778 & 5.45076544449272e-05 & 2.72538272224636e-05 \tabularnewline
143 & 0.999984712970824 & 3.05740583521059e-05 & 1.52870291760529e-05 \tabularnewline
144 & 0.999978864248074 & 4.22715038526165e-05 & 2.11357519263083e-05 \tabularnewline
145 & 0.999970945981356 & 5.81080372872223e-05 & 2.90540186436112e-05 \tabularnewline
146 & 0.999961453717955 & 7.7092564090872e-05 & 3.8546282045436e-05 \tabularnewline
147 & 0.999956397219094 & 8.72055618123315e-05 & 4.36027809061657e-05 \tabularnewline
148 & 0.999950164763639 & 9.96704727224675e-05 & 4.98352363612337e-05 \tabularnewline
149 & 0.999929818013952 & 0.000140363972096916 & 7.01819860484581e-05 \tabularnewline
150 & 0.999913153524862 & 0.000173692950275753 & 8.68464751378763e-05 \tabularnewline
151 & 0.999879190389597 & 0.000241619220806194 & 0.000120809610403097 \tabularnewline
152 & 0.999864057518332 & 0.000271884963336936 & 0.000135942481668468 \tabularnewline
153 & 0.999812336704797 & 0.000375326590406549 & 0.000187663295203275 \tabularnewline
154 & 0.999755653940105 & 0.000488692119789572 & 0.000244346059894786 \tabularnewline
155 & 0.999932211505743 & 0.000135576988514407 & 6.77884942572035e-05 \tabularnewline
156 & 0.999923134818521 & 0.000153730362957575 & 7.68651814787874e-05 \tabularnewline
157 & 0.999895170068871 & 0.000209659862257857 & 0.000104829931128929 \tabularnewline
158 & 0.999883028502558 & 0.000233942994884054 & 0.000116971497442027 \tabularnewline
159 & 0.999837978485542 & 0.000324043028916626 & 0.000162021514458313 \tabularnewline
160 & 0.999778267101274 & 0.000443465797451182 & 0.000221732898725591 \tabularnewline
161 & 0.999858005898284 & 0.000283988203431524 & 0.000141994101715762 \tabularnewline
162 & 0.999867341553097 & 0.000265316893806637 & 0.000132658446903318 \tabularnewline
163 & 0.999818733983448 & 0.000362532033103213 & 0.000181266016551606 \tabularnewline
164 & 0.999752788542669 & 0.000494422914662832 & 0.000247211457331416 \tabularnewline
165 & 0.999661687111073 & 0.000676625777853199 & 0.000338312888926599 \tabularnewline
166 & 0.999697806851626 & 0.000604386296747811 & 0.000302193148373906 \tabularnewline
167 & 0.99961799939986 & 0.000764001200279312 & 0.000382000600139656 \tabularnewline
168 & 0.999750254468955 & 0.000499491062090525 & 0.000249745531045263 \tabularnewline
169 & 0.99968100749537 & 0.000637985009260754 & 0.000318992504630377 \tabularnewline
170 & 0.999929594166152 & 0.000140811667695 & 7.04058338474999e-05 \tabularnewline
171 & 0.999939863736932 & 0.000120272526135985 & 6.01362630679925e-05 \tabularnewline
172 & 0.999985975245494 & 2.80495090121302e-05 & 1.40247545060651e-05 \tabularnewline
173 & 0.999990534016522 & 1.89319669552022e-05 & 9.46598347760111e-06 \tabularnewline
174 & 0.999995034773306 & 9.9304533874727e-06 & 4.96522669373635e-06 \tabularnewline
175 & 0.999999999998412 & 3.17558044341504e-12 & 1.58779022170752e-12 \tabularnewline
176 & 0.999999999999182 & 1.63553389316608e-12 & 8.1776694658304e-13 \tabularnewline
177 & 0.999999999999133 & 1.73446719098455e-12 & 8.67233595492276e-13 \tabularnewline
178 & 0.999999999998529 & 2.942563335796e-12 & 1.471281667898e-12 \tabularnewline
179 & 1 & 7.05779421123516e-17 & 3.52889710561758e-17 \tabularnewline
180 & 1 & 1.41292874212643e-16 & 7.06464371063216e-17 \tabularnewline
181 & 1 & 3.16804162519025e-16 & 1.58402081259512e-16 \tabularnewline
182 & 1 & 8.6629855974362e-17 & 4.3314927987181e-17 \tabularnewline
183 & 1 & 1.9221421734422e-16 & 9.61071086721101e-17 \tabularnewline
184 & 1 & 3.39572251186631e-16 & 1.69786125593315e-16 \tabularnewline
185 & 1 & 7.77683473200133e-18 & 3.88841736600066e-18 \tabularnewline
186 & 1 & 1.83332117968753e-17 & 9.16660589843764e-18 \tabularnewline
187 & 1 & 4.07446041464208e-17 & 2.03723020732104e-17 \tabularnewline
188 & 1 & 7.4860371982659e-17 & 3.74301859913295e-17 \tabularnewline
189 & 1 & 1.43492965829879e-16 & 7.17464829149396e-17 \tabularnewline
190 & 1 & 2.15081291664043e-16 & 1.07540645832022e-16 \tabularnewline
191 & 1 & 3.76608302947951e-16 & 1.88304151473975e-16 \tabularnewline
192 & 1 & 4.06262018275787e-16 & 2.03131009137893e-16 \tabularnewline
193 & 1 & 5.64962497991968e-16 & 2.82481248995984e-16 \tabularnewline
194 & 1 & 2.16467707417847e-16 & 1.08233853708923e-16 \tabularnewline
195 & 1 & 1.59009435987536e-16 & 7.95047179937682e-17 \tabularnewline
196 & 1 & 7.76086565614697e-17 & 3.88043282807349e-17 \tabularnewline
197 & 1 & 1.23884945108547e-16 & 6.19424725542737e-17 \tabularnewline
198 & 1 & 2.78918213899799e-16 & 1.394591069499e-16 \tabularnewline
199 & 1 & 6.58757123812776e-16 & 3.29378561906388e-16 \tabularnewline
200 & 1 & 9.45146490501017e-16 & 4.72573245250509e-16 \tabularnewline
201 & 0.999999999999999 & 2.20754166315111e-15 & 1.10377083157556e-15 \tabularnewline
202 & 0.999999999999997 & 5.16365334391364e-15 & 2.58182667195682e-15 \tabularnewline
203 & 0.999999999999995 & 1.07611101676703e-14 & 5.38055508383513e-15 \tabularnewline
204 & 0.999999999999991 & 1.84260148066583e-14 & 9.21300740332915e-15 \tabularnewline
205 & 0.999999999999982 & 3.58969328530853e-14 & 1.79484664265427e-14 \tabularnewline
206 & 0.999999999999965 & 7.06389429853947e-14 & 3.53194714926973e-14 \tabularnewline
207 & 0.999999999999928 & 1.45074102095394e-13 & 7.25370510476971e-14 \tabularnewline
208 & 0.999999999999915 & 1.70198846621851e-13 & 8.50994233109255e-14 \tabularnewline
209 & 0.99999999999982 & 3.60614869927132e-13 & 1.80307434963566e-13 \tabularnewline
210 & 0.999999999999725 & 5.50559995701118e-13 & 2.75279997850559e-13 \tabularnewline
211 & 0.999999999999401 & 1.19732326455815e-12 & 5.98661632279073e-13 \tabularnewline
212 & 0.999999999998767 & 2.46584404239023e-12 & 1.23292202119511e-12 \tabularnewline
213 & 0.999999999997314 & 5.37281286567734e-12 & 2.68640643283867e-12 \tabularnewline
214 & 0.999999999996568 & 6.86464186087816e-12 & 3.43232093043908e-12 \tabularnewline
215 & 0.999999999999416 & 1.16781944530152e-12 & 5.8390972265076e-13 \tabularnewline
216 & 0.999999999999486 & 1.02760555762392e-12 & 5.13802778811958e-13 \tabularnewline
217 & 0.999999999998826 & 2.34795889718093e-12 & 1.17397944859046e-12 \tabularnewline
218 & 0.99999999999835 & 3.30090315507402e-12 & 1.65045157753701e-12 \tabularnewline
219 & 0.999999999996693 & 6.61435723457499e-12 & 3.30717861728749e-12 \tabularnewline
220 & 0.999999999995085 & 9.83057279814245e-12 & 4.91528639907122e-12 \tabularnewline
221 & 0.999999999988944 & 2.21112467978255e-11 & 1.10556233989127e-11 \tabularnewline
222 & 0.99999999998871 & 2.25798019317615e-11 & 1.12899009658808e-11 \tabularnewline
223 & 0.999999999981378 & 3.72433957172208e-11 & 1.86216978586104e-11 \tabularnewline
224 & 0.999999999957994 & 8.40109110470858e-11 & 4.20054555235429e-11 \tabularnewline
225 & 0.999999999933505 & 1.32990698114572e-10 & 6.64953490572858e-11 \tabularnewline
226 & 0.999999999853903 & 2.92194976286055e-10 & 1.46097488143027e-10 \tabularnewline
227 & 0.999999999680661 & 6.38677226784351e-10 & 3.19338613392175e-10 \tabularnewline
228 & 0.999999999537813 & 9.24373644891587e-10 & 4.62186822445793e-10 \tabularnewline
229 & 0.999999999244327 & 1.51134629504282e-09 & 7.55673147521412e-10 \tabularnewline
230 & 0.999999998388813 & 3.22237381546358e-09 & 1.61118690773179e-09 \tabularnewline
231 & 0.999999999077292 & 1.84541505709077e-09 & 9.22707528545387e-10 \tabularnewline
232 & 0.999999998347172 & 3.30565687205361e-09 & 1.6528284360268e-09 \tabularnewline
233 & 0.999999996750702 & 6.49859645054295e-09 & 3.24929822527148e-09 \tabularnewline
234 & 0.999999994222222 & 1.15555569035766e-08 & 5.7777784517883e-09 \tabularnewline
235 & 0.999999987659884 & 2.46802326711632e-08 & 1.23401163355816e-08 \tabularnewline
236 & 0.999999992276637 & 1.54467268381705e-08 & 7.72336341908523e-09 \tabularnewline
237 & 0.999999994384686 & 1.12306273523906e-08 & 5.61531367619528e-09 \tabularnewline
238 & 0.99999998770194 & 2.45961208492919e-08 & 1.2298060424646e-08 \tabularnewline
239 & 0.999999973259829 & 5.3480341508216e-08 & 2.6740170754108e-08 \tabularnewline
240 & 0.99999994346655 & 1.13066899902317e-07 & 5.65334499511585e-08 \tabularnewline
241 & 0.999999944077308 & 1.11845384249438e-07 & 5.59226921247191e-08 \tabularnewline
242 & 0.999999882757503 & 2.34484994370045e-07 & 1.17242497185022e-07 \tabularnewline
243 & 0.999999884005573 & 2.31988854421517e-07 & 1.15994427210758e-07 \tabularnewline
244 & 0.999999754797087 & 4.90405825566694e-07 & 2.45202912783347e-07 \tabularnewline
245 & 0.999999494312558 & 1.01137488481729e-06 & 5.05687442408646e-07 \tabularnewline
246 & 0.999998999992464 & 2.00001507241716e-06 & 1.00000753620858e-06 \tabularnewline
247 & 0.999998877049776 & 2.24590044731409e-06 & 1.12295022365704e-06 \tabularnewline
248 & 0.999998789173503 & 2.42165299328103e-06 & 1.21082649664052e-06 \tabularnewline
249 & 0.999997809563277 & 4.3808734461415e-06 & 2.19043672307075e-06 \tabularnewline
250 & 0.999995538738773 & 8.92252245469551e-06 & 4.46126122734776e-06 \tabularnewline
251 & 0.999996535033724 & 6.92993255138344e-06 & 3.46496627569172e-06 \tabularnewline
252 & 0.999993575781586 & 1.28484368279463e-05 & 6.42421841397314e-06 \tabularnewline
253 & 0.999987047504926 & 2.59049901480259e-05 & 1.2952495074013e-05 \tabularnewline
254 & 0.999995113365937 & 9.77326812572281e-06 & 4.8866340628614e-06 \tabularnewline
255 & 0.999995606266901 & 8.78746619835498e-06 & 4.39373309917749e-06 \tabularnewline
256 & 0.999992409745791 & 1.51805084181889e-05 & 7.59025420909447e-06 \tabularnewline
257 & 0.999987768405391 & 2.44631892185101e-05 & 1.2231594609255e-05 \tabularnewline
258 & 0.999978488764703 & 4.30224705933326e-05 & 2.15112352966663e-05 \tabularnewline
259 & 0.9999716874686 & 5.66250627999978e-05 & 2.83125313999989e-05 \tabularnewline
260 & 0.999940080931159 & 0.000119838137681809 & 5.99190688409043e-05 \tabularnewline
261 & 0.99995089254782 & 9.82149043590407e-05 & 4.91074521795204e-05 \tabularnewline
262 & 0.999925035506416 & 0.000149928987168968 & 7.49644935844838e-05 \tabularnewline
263 & 0.999941416864799 & 0.00011716627040118 & 5.85831352005898e-05 \tabularnewline
264 & 0.999915884939857 & 0.000168230120286277 & 8.41150601431383e-05 \tabularnewline
265 & 0.999840525220197 & 0.000318949559606477 & 0.000159474779803239 \tabularnewline
266 & 0.99970679600093 & 0.000586407998140229 & 0.000293203999070115 \tabularnewline
267 & 0.999619392110384 & 0.000761215779232124 & 0.000380607889616062 \tabularnewline
268 & 0.999393995328863 & 0.00121200934227413 & 0.000606004671137064 \tabularnewline
269 & 0.998688932588109 & 0.00262213482378157 & 0.00131106741189078 \tabularnewline
270 & 0.998261334375766 & 0.0034773312484674 & 0.0017386656242337 \tabularnewline
271 & 0.999895494563183 & 0.000209010873634285 & 0.000104505436817142 \tabularnewline
272 & 0.999704598362342 & 0.000590803275315263 & 0.000295401637657631 \tabularnewline
273 & 0.999834662261267 & 0.000330675477465803 & 0.000165337738732902 \tabularnewline
274 & 0.999539904203816 & 0.000920191592367872 & 0.000460095796183936 \tabularnewline
275 & 0.998747242328348 & 0.00250551534330393 & 0.00125275767165197 \tabularnewline
276 & 0.997707660082669 & 0.00458467983466183 & 0.00229233991733092 \tabularnewline
277 & 0.998732270892793 & 0.00253545821441426 & 0.00126772910720713 \tabularnewline
278 & 0.996370382705297 & 0.00725923458940583 & 0.00362961729470292 \tabularnewline
279 & 0.991383524906346 & 0.017232950187308 & 0.008616475093654 \tabularnewline
280 & 0.971524768146401 & 0.0569504637071981 & 0.028475231853599 \tabularnewline
281 & 0.978373258249988 & 0.0432534835000244 & 0.0216267417500122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202342&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]8[/C][C]0.160337090834283[/C][C]0.320674181668567[/C][C]0.839662909165717[/C][/ROW]
[ROW][C]9[/C][C]0.203291441420186[/C][C]0.406582882840372[/C][C]0.796708558579814[/C][/ROW]
[ROW][C]10[/C][C]0.128462782605438[/C][C]0.256925565210877[/C][C]0.871537217394562[/C][/ROW]
[ROW][C]11[/C][C]0.441717172298172[/C][C]0.883434344596344[/C][C]0.558282827701828[/C][/ROW]
[ROW][C]12[/C][C]0.385505983470352[/C][C]0.771011966940704[/C][C]0.614494016529648[/C][/ROW]
[ROW][C]13[/C][C]0.400939674006614[/C][C]0.801879348013227[/C][C]0.599060325993387[/C][/ROW]
[ROW][C]14[/C][C]0.304093695375389[/C][C]0.608187390750777[/C][C]0.695906304624611[/C][/ROW]
[ROW][C]15[/C][C]0.334414056908388[/C][C]0.668828113816775[/C][C]0.665585943091612[/C][/ROW]
[ROW][C]16[/C][C]0.252958934507815[/C][C]0.50591786901563[/C][C]0.747041065492185[/C][/ROW]
[ROW][C]17[/C][C]0.189975165386272[/C][C]0.379950330772543[/C][C]0.810024834613728[/C][/ROW]
[ROW][C]18[/C][C]0.250521883588831[/C][C]0.501043767177661[/C][C]0.749478116411169[/C][/ROW]
[ROW][C]19[/C][C]0.290558885003921[/C][C]0.581117770007842[/C][C]0.709441114996079[/C][/ROW]
[ROW][C]20[/C][C]0.437335268456369[/C][C]0.874670536912739[/C][C]0.562664731543631[/C][/ROW]
[ROW][C]21[/C][C]0.50916867091705[/C][C]0.9816626581659[/C][C]0.49083132908295[/C][/ROW]
[ROW][C]22[/C][C]0.442966246906167[/C][C]0.885932493812334[/C][C]0.557033753093833[/C][/ROW]
[ROW][C]23[/C][C]0.65755686576349[/C][C]0.684886268473019[/C][C]0.34244313423651[/C][/ROW]
[ROW][C]24[/C][C]0.619179589541686[/C][C]0.761640820916627[/C][C]0.380820410458314[/C][/ROW]
[ROW][C]25[/C][C]0.612631695177265[/C][C]0.77473660964547[/C][C]0.387368304822735[/C][/ROW]
[ROW][C]26[/C][C]0.603266886763535[/C][C]0.79346622647293[/C][C]0.396733113236465[/C][/ROW]
[ROW][C]27[/C][C]0.618204115355894[/C][C]0.763591769288212[/C][C]0.381795884644106[/C][/ROW]
[ROW][C]28[/C][C]0.611514167598182[/C][C]0.776971664803635[/C][C]0.388485832401818[/C][/ROW]
[ROW][C]29[/C][C]0.627374969809356[/C][C]0.745250060381289[/C][C]0.372625030190644[/C][/ROW]
[ROW][C]30[/C][C]0.609692681211738[/C][C]0.780614637576525[/C][C]0.390307318788262[/C][/ROW]
[ROW][C]31[/C][C]0.573403963246429[/C][C]0.853192073507143[/C][C]0.426596036753571[/C][/ROW]
[ROW][C]32[/C][C]0.522874775458876[/C][C]0.954250449082247[/C][C]0.477125224541124[/C][/ROW]
[ROW][C]33[/C][C]0.619265626006726[/C][C]0.761468747986548[/C][C]0.380734373993274[/C][/ROW]
[ROW][C]34[/C][C]0.623904378722737[/C][C]0.752191242554527[/C][C]0.376095621277264[/C][/ROW]
[ROW][C]35[/C][C]0.579746591891883[/C][C]0.840506816216235[/C][C]0.420253408108117[/C][/ROW]
[ROW][C]36[/C][C]0.545106876139662[/C][C]0.909786247720675[/C][C]0.454893123860338[/C][/ROW]
[ROW][C]37[/C][C]0.529145116086283[/C][C]0.941709767827435[/C][C]0.470854883913717[/C][/ROW]
[ROW][C]38[/C][C]0.533565059650823[/C][C]0.932869880698354[/C][C]0.466434940349177[/C][/ROW]
[ROW][C]39[/C][C]0.657899053670578[/C][C]0.684201892658844[/C][C]0.342100946329422[/C][/ROW]
[ROW][C]40[/C][C]0.625639532407978[/C][C]0.748720935184044[/C][C]0.374360467592022[/C][/ROW]
[ROW][C]41[/C][C]0.582518484530992[/C][C]0.834963030938015[/C][C]0.417481515469008[/C][/ROW]
[ROW][C]42[/C][C]0.543793199454237[/C][C]0.912413601091527[/C][C]0.456206800545763[/C][/ROW]
[ROW][C]43[/C][C]0.530600390856603[/C][C]0.938799218286794[/C][C]0.469399609143397[/C][/ROW]
[ROW][C]44[/C][C]0.481935473989694[/C][C]0.963870947979388[/C][C]0.518064526010306[/C][/ROW]
[ROW][C]45[/C][C]0.437304111021586[/C][C]0.874608222043172[/C][C]0.562695888978414[/C][/ROW]
[ROW][C]46[/C][C]0.39086381225428[/C][C]0.78172762450856[/C][C]0.60913618774572[/C][/ROW]
[ROW][C]47[/C][C]0.443134896190834[/C][C]0.886269792381667[/C][C]0.556865103809166[/C][/ROW]
[ROW][C]48[/C][C]0.398931396215908[/C][C]0.797862792431815[/C][C]0.601068603784092[/C][/ROW]
[ROW][C]49[/C][C]0.359081876735733[/C][C]0.718163753471466[/C][C]0.640918123264267[/C][/ROW]
[ROW][C]50[/C][C]0.383286895695197[/C][C]0.766573791390394[/C][C]0.616713104304803[/C][/ROW]
[ROW][C]51[/C][C]0.755457316567679[/C][C]0.489085366864643[/C][C]0.244542683432321[/C][/ROW]
[ROW][C]52[/C][C]0.729617043130777[/C][C]0.540765913738446[/C][C]0.270382956869223[/C][/ROW]
[ROW][C]53[/C][C]0.752569815264699[/C][C]0.494860369470602[/C][C]0.247430184735301[/C][/ROW]
[ROW][C]54[/C][C]0.732518664953501[/C][C]0.534962670092998[/C][C]0.267481335046499[/C][/ROW]
[ROW][C]55[/C][C]0.762433182188724[/C][C]0.475133635622551[/C][C]0.237566817811276[/C][/ROW]
[ROW][C]56[/C][C]0.744975744686916[/C][C]0.510048510626168[/C][C]0.255024255313084[/C][/ROW]
[ROW][C]57[/C][C]0.714456114789069[/C][C]0.571087770421863[/C][C]0.285543885210931[/C][/ROW]
[ROW][C]58[/C][C]0.71911371199065[/C][C]0.5617725760187[/C][C]0.28088628800935[/C][/ROW]
[ROW][C]59[/C][C]0.688708316065557[/C][C]0.622583367868885[/C][C]0.311291683934443[/C][/ROW]
[ROW][C]60[/C][C]0.658069012345843[/C][C]0.683861975308315[/C][C]0.341930987654157[/C][/ROW]
[ROW][C]61[/C][C]0.627695180657756[/C][C]0.744609638684489[/C][C]0.372304819342244[/C][/ROW]
[ROW][C]62[/C][C]0.613608493711958[/C][C]0.772783012576084[/C][C]0.386391506288042[/C][/ROW]
[ROW][C]63[/C][C]0.68812947935936[/C][C]0.62374104128128[/C][C]0.31187052064064[/C][/ROW]
[ROW][C]64[/C][C]0.667714045045549[/C][C]0.664571909908901[/C][C]0.332285954954451[/C][/ROW]
[ROW][C]65[/C][C]0.645329959684373[/C][C]0.709340080631253[/C][C]0.354670040315627[/C][/ROW]
[ROW][C]66[/C][C]0.731647474435023[/C][C]0.536705051129953[/C][C]0.268352525564977[/C][/ROW]
[ROW][C]67[/C][C]0.69963964827255[/C][C]0.6007207034549[/C][C]0.30036035172745[/C][/ROW]
[ROW][C]68[/C][C]0.688296523037635[/C][C]0.62340695392473[/C][C]0.311703476962365[/C][/ROW]
[ROW][C]69[/C][C]0.681594908159569[/C][C]0.636810183680862[/C][C]0.318405091840431[/C][/ROW]
[ROW][C]70[/C][C]0.663235651571622[/C][C]0.673528696856757[/C][C]0.336764348428378[/C][/ROW]
[ROW][C]71[/C][C]0.667616418746127[/C][C]0.664767162507745[/C][C]0.332383581253873[/C][/ROW]
[ROW][C]72[/C][C]0.697520547720587[/C][C]0.604958904558825[/C][C]0.302479452279412[/C][/ROW]
[ROW][C]73[/C][C]0.673848151829206[/C][C]0.652303696341587[/C][C]0.326151848170794[/C][/ROW]
[ROW][C]74[/C][C]0.663193150396287[/C][C]0.673613699207425[/C][C]0.336806849603713[/C][/ROW]
[ROW][C]75[/C][C]0.632170971701166[/C][C]0.735658056597668[/C][C]0.367829028298834[/C][/ROW]
[ROW][C]76[/C][C]0.750838089807587[/C][C]0.498323820384826[/C][C]0.249161910192413[/C][/ROW]
[ROW][C]77[/C][C]0.947959010146715[/C][C]0.104081979706569[/C][C]0.0520409898532846[/C][/ROW]
[ROW][C]78[/C][C]0.937370096239729[/C][C]0.125259807520542[/C][C]0.062629903760271[/C][/ROW]
[ROW][C]79[/C][C]0.931434223773936[/C][C]0.137131552452128[/C][C]0.068565776226064[/C][/ROW]
[ROW][C]80[/C][C]0.921756799767065[/C][C]0.15648640046587[/C][C]0.0782432002329348[/C][/ROW]
[ROW][C]81[/C][C]0.907532885361893[/C][C]0.184934229276214[/C][C]0.0924671146381069[/C][/ROW]
[ROW][C]82[/C][C]0.951647003722701[/C][C]0.0967059925545978[/C][C]0.0483529962772989[/C][/ROW]
[ROW][C]83[/C][C]0.945865686459258[/C][C]0.108268627081484[/C][C]0.0541343135407422[/C][/ROW]
[ROW][C]84[/C][C]0.935366072636111[/C][C]0.129267854727777[/C][C]0.0646339273638886[/C][/ROW]
[ROW][C]85[/C][C]0.923139717246603[/C][C]0.153720565506795[/C][C]0.0768602827533974[/C][/ROW]
[ROW][C]86[/C][C]0.951679119606736[/C][C]0.0966417607865286[/C][C]0.0483208803932643[/C][/ROW]
[ROW][C]87[/C][C]0.94197768697433[/C][C]0.11604462605134[/C][C]0.05802231302567[/C][/ROW]
[ROW][C]88[/C][C]0.930975884779361[/C][C]0.138048230441277[/C][C]0.0690241152206387[/C][/ROW]
[ROW][C]89[/C][C]0.92316973496284[/C][C]0.15366053007432[/C][C]0.07683026503716[/C][/ROW]
[ROW][C]90[/C][C]0.937079849189365[/C][C]0.125840301621269[/C][C]0.0629201508106346[/C][/ROW]
[ROW][C]91[/C][C]0.941853204956594[/C][C]0.116293590086812[/C][C]0.058146795043406[/C][/ROW]
[ROW][C]92[/C][C]0.932355616986127[/C][C]0.135288766027746[/C][C]0.0676443830138728[/C][/ROW]
[ROW][C]93[/C][C]0.949507689632433[/C][C]0.100984620735133[/C][C]0.0504923103675665[/C][/ROW]
[ROW][C]94[/C][C]0.943077599088755[/C][C]0.113844801822491[/C][C]0.0569224009112455[/C][/ROW]
[ROW][C]95[/C][C]0.932488113518379[/C][C]0.135023772963241[/C][C]0.0675118864816207[/C][/ROW]
[ROW][C]96[/C][C]0.972429142354009[/C][C]0.0551417152919822[/C][C]0.0275708576459911[/C][/ROW]
[ROW][C]97[/C][C]0.970212632316237[/C][C]0.0595747353675257[/C][C]0.0297873676837629[/C][/ROW]
[ROW][C]98[/C][C]0.997182162256491[/C][C]0.00563567548701883[/C][C]0.00281783774350942[/C][/ROW]
[ROW][C]99[/C][C]0.996687796055652[/C][C]0.00662440788869675[/C][C]0.00331220394434838[/C][/ROW]
[ROW][C]100[/C][C]0.999223522810819[/C][C]0.00155295437836124[/C][C]0.00077647718918062[/C][/ROW]
[ROW][C]101[/C][C]0.999393540686433[/C][C]0.00121291862713409[/C][C]0.000606459313567044[/C][/ROW]
[ROW][C]102[/C][C]0.999205137409718[/C][C]0.00158972518056509[/C][C]0.000794862590282545[/C][/ROW]
[ROW][C]103[/C][C]0.999582240510035[/C][C]0.000835518979929341[/C][C]0.00041775948996467[/C][/ROW]
[ROW][C]104[/C][C]0.999430645202362[/C][C]0.0011387095952768[/C][C]0.000569354797638402[/C][/ROW]
[ROW][C]105[/C][C]0.999260905501382[/C][C]0.00147818899723668[/C][C]0.000739094498618339[/C][/ROW]
[ROW][C]106[/C][C]0.999739276629346[/C][C]0.000521446741307228[/C][C]0.000260723370653614[/C][/ROW]
[ROW][C]107[/C][C]0.999655524483426[/C][C]0.000688951033147246[/C][C]0.000344475516573623[/C][/ROW]
[ROW][C]108[/C][C]0.999553595024062[/C][C]0.000892809951876863[/C][C]0.000446404975938432[/C][/ROW]
[ROW][C]109[/C][C]0.999447517085999[/C][C]0.00110496582800235[/C][C]0.000552482914001174[/C][/ROW]
[ROW][C]110[/C][C]0.999281305245177[/C][C]0.00143738950964623[/C][C]0.000718694754823113[/C][/ROW]
[ROW][C]111[/C][C]0.999418292890037[/C][C]0.00116341421992533[/C][C]0.000581707109962664[/C][/ROW]
[ROW][C]112[/C][C]0.999298506899904[/C][C]0.00140298620019216[/C][C]0.00070149310009608[/C][/ROW]
[ROW][C]113[/C][C]0.999208862509208[/C][C]0.0015822749815835[/C][C]0.000791137490791748[/C][/ROW]
[ROW][C]114[/C][C]0.998996789614811[/C][C]0.00200642077037856[/C][C]0.00100321038518928[/C][/ROW]
[ROW][C]115[/C][C]0.998973282628452[/C][C]0.00205343474309547[/C][C]0.00102671737154774[/C][/ROW]
[ROW][C]116[/C][C]0.999111886104083[/C][C]0.00177622779183378[/C][C]0.000888113895916888[/C][/ROW]
[ROW][C]117[/C][C]0.999924364713293[/C][C]0.000151270573413527[/C][C]7.56352867067634e-05[/C][/ROW]
[ROW][C]118[/C][C]0.99996605847968[/C][C]6.78830406393902e-05[/C][C]3.39415203196951e-05[/C][/ROW]
[ROW][C]119[/C][C]0.999960430566327[/C][C]7.91388673464524e-05[/C][C]3.95694336732262e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999945680632209[/C][C]0.000108638735582447[/C][C]5.43193677912234e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999924794103615[/C][C]0.00015041179276959[/C][C]7.52058963847951e-05[/C][/ROW]
[ROW][C]122[/C][C]0.999896500642917[/C][C]0.000206998714165918[/C][C]0.000103499357082959[/C][/ROW]
[ROW][C]123[/C][C]0.999895312920278[/C][C]0.00020937415944355[/C][C]0.000104687079721775[/C][/ROW]
[ROW][C]124[/C][C]0.999966003401458[/C][C]6.79931970845134e-05[/C][C]3.39965985422567e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999978943718954[/C][C]4.21125620910678e-05[/C][C]2.10562810455339e-05[/C][/ROW]
[ROW][C]126[/C][C]0.999973026148301[/C][C]5.39477033979961e-05[/C][C]2.6973851698998e-05[/C][/ROW]
[ROW][C]127[/C][C]0.999968789338956[/C][C]6.24213220876062e-05[/C][C]3.12106610438031e-05[/C][/ROW]
[ROW][C]128[/C][C]0.999963613941715[/C][C]7.27721165697583e-05[/C][C]3.63860582848792e-05[/C][/ROW]
[ROW][C]129[/C][C]0.999990300109952[/C][C]1.93997800961257e-05[/C][C]9.69989004806285e-06[/C][/ROW]
[ROW][C]130[/C][C]0.99998666476553[/C][C]2.66704689406359e-05[/C][C]1.3335234470318e-05[/C][/ROW]
[ROW][C]131[/C][C]0.999988290411195[/C][C]2.34191776090866e-05[/C][C]1.17095888045433e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999998136453956[/C][C]3.72709208748716e-06[/C][C]1.86354604374358e-06[/C][/ROW]
[ROW][C]133[/C][C]0.999997355918253[/C][C]5.28816349496907e-06[/C][C]2.64408174748454e-06[/C][/ROW]
[ROW][C]134[/C][C]0.999996159070244[/C][C]7.68185951243387e-06[/C][C]3.84092975621693e-06[/C][/ROW]
[ROW][C]135[/C][C]0.999995997529572[/C][C]8.00494085646837e-06[/C][C]4.00247042823418e-06[/C][/ROW]
[ROW][C]136[/C][C]0.999994272620844[/C][C]1.1454758312413e-05[/C][C]5.72737915620652e-06[/C][/ROW]
[ROW][C]137[/C][C]0.999992579975853[/C][C]1.48400482938797e-05[/C][C]7.42002414693986e-06[/C][/ROW]
[ROW][C]138[/C][C]0.99999238581051[/C][C]1.52283789794347e-05[/C][C]7.61418948971735e-06[/C][/ROW]
[ROW][C]139[/C][C]0.999989260016696[/C][C]2.14799666073203e-05[/C][C]1.07399833036602e-05[/C][/ROW]
[ROW][C]140[/C][C]0.9999848603577[/C][C]3.02792846007127e-05[/C][C]1.51396423003564e-05[/C][/ROW]
[ROW][C]141[/C][C]0.999979526698229[/C][C]4.09466035415328e-05[/C][C]2.04733017707664e-05[/C][/ROW]
[ROW][C]142[/C][C]0.999972746172778[/C][C]5.45076544449272e-05[/C][C]2.72538272224636e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999984712970824[/C][C]3.05740583521059e-05[/C][C]1.52870291760529e-05[/C][/ROW]
[ROW][C]144[/C][C]0.999978864248074[/C][C]4.22715038526165e-05[/C][C]2.11357519263083e-05[/C][/ROW]
[ROW][C]145[/C][C]0.999970945981356[/C][C]5.81080372872223e-05[/C][C]2.90540186436112e-05[/C][/ROW]
[ROW][C]146[/C][C]0.999961453717955[/C][C]7.7092564090872e-05[/C][C]3.8546282045436e-05[/C][/ROW]
[ROW][C]147[/C][C]0.999956397219094[/C][C]8.72055618123315e-05[/C][C]4.36027809061657e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999950164763639[/C][C]9.96704727224675e-05[/C][C]4.98352363612337e-05[/C][/ROW]
[ROW][C]149[/C][C]0.999929818013952[/C][C]0.000140363972096916[/C][C]7.01819860484581e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999913153524862[/C][C]0.000173692950275753[/C][C]8.68464751378763e-05[/C][/ROW]
[ROW][C]151[/C][C]0.999879190389597[/C][C]0.000241619220806194[/C][C]0.000120809610403097[/C][/ROW]
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[ROW][C]157[/C][C]0.999895170068871[/C][C]0.000209659862257857[/C][C]0.000104829931128929[/C][/ROW]
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[ROW][C]164[/C][C]0.999752788542669[/C][C]0.000494422914662832[/C][C]0.000247211457331416[/C][/ROW]
[ROW][C]165[/C][C]0.999661687111073[/C][C]0.000676625777853199[/C][C]0.000338312888926599[/C][/ROW]
[ROW][C]166[/C][C]0.999697806851626[/C][C]0.000604386296747811[/C][C]0.000302193148373906[/C][/ROW]
[ROW][C]167[/C][C]0.99961799939986[/C][C]0.000764001200279312[/C][C]0.000382000600139656[/C][/ROW]
[ROW][C]168[/C][C]0.999750254468955[/C][C]0.000499491062090525[/C][C]0.000249745531045263[/C][/ROW]
[ROW][C]169[/C][C]0.99968100749537[/C][C]0.000637985009260754[/C][C]0.000318992504630377[/C][/ROW]
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[ROW][C]171[/C][C]0.999939863736932[/C][C]0.000120272526135985[/C][C]6.01362630679925e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999985975245494[/C][C]2.80495090121302e-05[/C][C]1.40247545060651e-05[/C][/ROW]
[ROW][C]173[/C][C]0.999990534016522[/C][C]1.89319669552022e-05[/C][C]9.46598347760111e-06[/C][/ROW]
[ROW][C]174[/C][C]0.999995034773306[/C][C]9.9304533874727e-06[/C][C]4.96522669373635e-06[/C][/ROW]
[ROW][C]175[/C][C]0.999999999998412[/C][C]3.17558044341504e-12[/C][C]1.58779022170752e-12[/C][/ROW]
[ROW][C]176[/C][C]0.999999999999182[/C][C]1.63553389316608e-12[/C][C]8.1776694658304e-13[/C][/ROW]
[ROW][C]177[/C][C]0.999999999999133[/C][C]1.73446719098455e-12[/C][C]8.67233595492276e-13[/C][/ROW]
[ROW][C]178[/C][C]0.999999999998529[/C][C]2.942563335796e-12[/C][C]1.471281667898e-12[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]7.05779421123516e-17[/C][C]3.52889710561758e-17[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]1.41292874212643e-16[/C][C]7.06464371063216e-17[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]3.16804162519025e-16[/C][C]1.58402081259512e-16[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]8.6629855974362e-17[/C][C]4.3314927987181e-17[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]1.9221421734422e-16[/C][C]9.61071086721101e-17[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]3.39572251186631e-16[/C][C]1.69786125593315e-16[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]7.77683473200133e-18[/C][C]3.88841736600066e-18[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]1.83332117968753e-17[/C][C]9.16660589843764e-18[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]4.07446041464208e-17[/C][C]2.03723020732104e-17[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]7.4860371982659e-17[/C][C]3.74301859913295e-17[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]1.43492965829879e-16[/C][C]7.17464829149396e-17[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]2.15081291664043e-16[/C][C]1.07540645832022e-16[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]3.76608302947951e-16[/C][C]1.88304151473975e-16[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]4.06262018275787e-16[/C][C]2.03131009137893e-16[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]5.64962497991968e-16[/C][C]2.82481248995984e-16[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]2.16467707417847e-16[/C][C]1.08233853708923e-16[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]1.59009435987536e-16[/C][C]7.95047179937682e-17[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]7.76086565614697e-17[/C][C]3.88043282807349e-17[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]1.23884945108547e-16[/C][C]6.19424725542737e-17[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]2.78918213899799e-16[/C][C]1.394591069499e-16[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]6.58757123812776e-16[/C][C]3.29378561906388e-16[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]9.45146490501017e-16[/C][C]4.72573245250509e-16[/C][/ROW]
[ROW][C]201[/C][C]0.999999999999999[/C][C]2.20754166315111e-15[/C][C]1.10377083157556e-15[/C][/ROW]
[ROW][C]202[/C][C]0.999999999999997[/C][C]5.16365334391364e-15[/C][C]2.58182667195682e-15[/C][/ROW]
[ROW][C]203[/C][C]0.999999999999995[/C][C]1.07611101676703e-14[/C][C]5.38055508383513e-15[/C][/ROW]
[ROW][C]204[/C][C]0.999999999999991[/C][C]1.84260148066583e-14[/C][C]9.21300740332915e-15[/C][/ROW]
[ROW][C]205[/C][C]0.999999999999982[/C][C]3.58969328530853e-14[/C][C]1.79484664265427e-14[/C][/ROW]
[ROW][C]206[/C][C]0.999999999999965[/C][C]7.06389429853947e-14[/C][C]3.53194714926973e-14[/C][/ROW]
[ROW][C]207[/C][C]0.999999999999928[/C][C]1.45074102095394e-13[/C][C]7.25370510476971e-14[/C][/ROW]
[ROW][C]208[/C][C]0.999999999999915[/C][C]1.70198846621851e-13[/C][C]8.50994233109255e-14[/C][/ROW]
[ROW][C]209[/C][C]0.99999999999982[/C][C]3.60614869927132e-13[/C][C]1.80307434963566e-13[/C][/ROW]
[ROW][C]210[/C][C]0.999999999999725[/C][C]5.50559995701118e-13[/C][C]2.75279997850559e-13[/C][/ROW]
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[ROW][C]213[/C][C]0.999999999997314[/C][C]5.37281286567734e-12[/C][C]2.68640643283867e-12[/C][/ROW]
[ROW][C]214[/C][C]0.999999999996568[/C][C]6.86464186087816e-12[/C][C]3.43232093043908e-12[/C][/ROW]
[ROW][C]215[/C][C]0.999999999999416[/C][C]1.16781944530152e-12[/C][C]5.8390972265076e-13[/C][/ROW]
[ROW][C]216[/C][C]0.999999999999486[/C][C]1.02760555762392e-12[/C][C]5.13802778811958e-13[/C][/ROW]
[ROW][C]217[/C][C]0.999999999998826[/C][C]2.34795889718093e-12[/C][C]1.17397944859046e-12[/C][/ROW]
[ROW][C]218[/C][C]0.99999999999835[/C][C]3.30090315507402e-12[/C][C]1.65045157753701e-12[/C][/ROW]
[ROW][C]219[/C][C]0.999999999996693[/C][C]6.61435723457499e-12[/C][C]3.30717861728749e-12[/C][/ROW]
[ROW][C]220[/C][C]0.999999999995085[/C][C]9.83057279814245e-12[/C][C]4.91528639907122e-12[/C][/ROW]
[ROW][C]221[/C][C]0.999999999988944[/C][C]2.21112467978255e-11[/C][C]1.10556233989127e-11[/C][/ROW]
[ROW][C]222[/C][C]0.99999999998871[/C][C]2.25798019317615e-11[/C][C]1.12899009658808e-11[/C][/ROW]
[ROW][C]223[/C][C]0.999999999981378[/C][C]3.72433957172208e-11[/C][C]1.86216978586104e-11[/C][/ROW]
[ROW][C]224[/C][C]0.999999999957994[/C][C]8.40109110470858e-11[/C][C]4.20054555235429e-11[/C][/ROW]
[ROW][C]225[/C][C]0.999999999933505[/C][C]1.32990698114572e-10[/C][C]6.64953490572858e-11[/C][/ROW]
[ROW][C]226[/C][C]0.999999999853903[/C][C]2.92194976286055e-10[/C][C]1.46097488143027e-10[/C][/ROW]
[ROW][C]227[/C][C]0.999999999680661[/C][C]6.38677226784351e-10[/C][C]3.19338613392175e-10[/C][/ROW]
[ROW][C]228[/C][C]0.999999999537813[/C][C]9.24373644891587e-10[/C][C]4.62186822445793e-10[/C][/ROW]
[ROW][C]229[/C][C]0.999999999244327[/C][C]1.51134629504282e-09[/C][C]7.55673147521412e-10[/C][/ROW]
[ROW][C]230[/C][C]0.999999998388813[/C][C]3.22237381546358e-09[/C][C]1.61118690773179e-09[/C][/ROW]
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[ROW][C]232[/C][C]0.999999998347172[/C][C]3.30565687205361e-09[/C][C]1.6528284360268e-09[/C][/ROW]
[ROW][C]233[/C][C]0.999999996750702[/C][C]6.49859645054295e-09[/C][C]3.24929822527148e-09[/C][/ROW]
[ROW][C]234[/C][C]0.999999994222222[/C][C]1.15555569035766e-08[/C][C]5.7777784517883e-09[/C][/ROW]
[ROW][C]235[/C][C]0.999999987659884[/C][C]2.46802326711632e-08[/C][C]1.23401163355816e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999992276637[/C][C]1.54467268381705e-08[/C][C]7.72336341908523e-09[/C][/ROW]
[ROW][C]237[/C][C]0.999999994384686[/C][C]1.12306273523906e-08[/C][C]5.61531367619528e-09[/C][/ROW]
[ROW][C]238[/C][C]0.99999998770194[/C][C]2.45961208492919e-08[/C][C]1.2298060424646e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999973259829[/C][C]5.3480341508216e-08[/C][C]2.6740170754108e-08[/C][/ROW]
[ROW][C]240[/C][C]0.99999994346655[/C][C]1.13066899902317e-07[/C][C]5.65334499511585e-08[/C][/ROW]
[ROW][C]241[/C][C]0.999999944077308[/C][C]1.11845384249438e-07[/C][C]5.59226921247191e-08[/C][/ROW]
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[ROW][C]244[/C][C]0.999999754797087[/C][C]4.90405825566694e-07[/C][C]2.45202912783347e-07[/C][/ROW]
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[ROW][C]247[/C][C]0.999998877049776[/C][C]2.24590044731409e-06[/C][C]1.12295022365704e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999998789173503[/C][C]2.42165299328103e-06[/C][C]1.21082649664052e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999997809563277[/C][C]4.3808734461415e-06[/C][C]2.19043672307075e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999995538738773[/C][C]8.92252245469551e-06[/C][C]4.46126122734776e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999996535033724[/C][C]6.92993255138344e-06[/C][C]3.46496627569172e-06[/C][/ROW]
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[ROW][C]254[/C][C]0.999995113365937[/C][C]9.77326812572281e-06[/C][C]4.8866340628614e-06[/C][/ROW]
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[ROW][C]256[/C][C]0.999992409745791[/C][C]1.51805084181889e-05[/C][C]7.59025420909447e-06[/C][/ROW]
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[ROW][C]258[/C][C]0.999978488764703[/C][C]4.30224705933326e-05[/C][C]2.15112352966663e-05[/C][/ROW]
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[ROW][C]275[/C][C]0.998747242328348[/C][C]0.00250551534330393[/C][C]0.00125275767165197[/C][/ROW]
[ROW][C]276[/C][C]0.997707660082669[/C][C]0.00458467983466183[/C][C]0.00229233991733092[/C][/ROW]
[ROW][C]277[/C][C]0.998732270892793[/C][C]0.00253545821441426[/C][C]0.00126772910720713[/C][/ROW]
[ROW][C]278[/C][C]0.996370382705297[/C][C]0.00725923458940583[/C][C]0.00362961729470292[/C][/ROW]
[ROW][C]279[/C][C]0.991383524906346[/C][C]0.017232950187308[/C][C]0.008616475093654[/C][/ROW]
[ROW][C]280[/C][C]0.971524768146401[/C][C]0.0569504637071981[/C][C]0.028475231853599[/C][/ROW]
[ROW][C]281[/C][C]0.978373258249988[/C][C]0.0432534835000244[/C][C]0.0216267417500122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202342&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202342&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
80.1603370908342830.3206741816685670.839662909165717
90.2032914414201860.4065828828403720.796708558579814
100.1284627826054380.2569255652108770.871537217394562
110.4417171722981720.8834343445963440.558282827701828
120.3855059834703520.7710119669407040.614494016529648
130.4009396740066140.8018793480132270.599060325993387
140.3040936953753890.6081873907507770.695906304624611
150.3344140569083880.6688281138167750.665585943091612
160.2529589345078150.505917869015630.747041065492185
170.1899751653862720.3799503307725430.810024834613728
180.2505218835888310.5010437671776610.749478116411169
190.2905588850039210.5811177700078420.709441114996079
200.4373352684563690.8746705369127390.562664731543631
210.509168670917050.98166265816590.49083132908295
220.4429662469061670.8859324938123340.557033753093833
230.657556865763490.6848862684730190.34244313423651
240.6191795895416860.7616408209166270.380820410458314
250.6126316951772650.774736609645470.387368304822735
260.6032668867635350.793466226472930.396733113236465
270.6182041153558940.7635917692882120.381795884644106
280.6115141675981820.7769716648036350.388485832401818
290.6273749698093560.7452500603812890.372625030190644
300.6096926812117380.7806146375765250.390307318788262
310.5734039632464290.8531920735071430.426596036753571
320.5228747754588760.9542504490822470.477125224541124
330.6192656260067260.7614687479865480.380734373993274
340.6239043787227370.7521912425545270.376095621277264
350.5797465918918830.8405068162162350.420253408108117
360.5451068761396620.9097862477206750.454893123860338
370.5291451160862830.9417097678274350.470854883913717
380.5335650596508230.9328698806983540.466434940349177
390.6578990536705780.6842018926588440.342100946329422
400.6256395324079780.7487209351840440.374360467592022
410.5825184845309920.8349630309380150.417481515469008
420.5437931994542370.9124136010915270.456206800545763
430.5306003908566030.9387992182867940.469399609143397
440.4819354739896940.9638709479793880.518064526010306
450.4373041110215860.8746082220431720.562695888978414
460.390863812254280.781727624508560.60913618774572
470.4431348961908340.8862697923816670.556865103809166
480.3989313962159080.7978627924318150.601068603784092
490.3590818767357330.7181637534714660.640918123264267
500.3832868956951970.7665737913903940.616713104304803
510.7554573165676790.4890853668646430.244542683432321
520.7296170431307770.5407659137384460.270382956869223
530.7525698152646990.4948603694706020.247430184735301
540.7325186649535010.5349626700929980.267481335046499
550.7624331821887240.4751336356225510.237566817811276
560.7449757446869160.5100485106261680.255024255313084
570.7144561147890690.5710877704218630.285543885210931
580.719113711990650.56177257601870.28088628800935
590.6887083160655570.6225833678688850.311291683934443
600.6580690123458430.6838619753083150.341930987654157
610.6276951806577560.7446096386844890.372304819342244
620.6136084937119580.7727830125760840.386391506288042
630.688129479359360.623741041281280.31187052064064
640.6677140450455490.6645719099089010.332285954954451
650.6453299596843730.7093400806312530.354670040315627
660.7316474744350230.5367050511299530.268352525564977
670.699639648272550.60072070345490.30036035172745
680.6882965230376350.623406953924730.311703476962365
690.6815949081595690.6368101836808620.318405091840431
700.6632356515716220.6735286968567570.336764348428378
710.6676164187461270.6647671625077450.332383581253873
720.6975205477205870.6049589045588250.302479452279412
730.6738481518292060.6523036963415870.326151848170794
740.6631931503962870.6736136992074250.336806849603713
750.6321709717011660.7356580565976680.367829028298834
760.7508380898075870.4983238203848260.249161910192413
770.9479590101467150.1040819797065690.0520409898532846
780.9373700962397290.1252598075205420.062629903760271
790.9314342237739360.1371315524521280.068565776226064
800.9217567997670650.156486400465870.0782432002329348
810.9075328853618930.1849342292762140.0924671146381069
820.9516470037227010.09670599255459780.0483529962772989
830.9458656864592580.1082686270814840.0541343135407422
840.9353660726361110.1292678547277770.0646339273638886
850.9231397172466030.1537205655067950.0768602827533974
860.9516791196067360.09664176078652860.0483208803932643
870.941977686974330.116044626051340.05802231302567
880.9309758847793610.1380482304412770.0690241152206387
890.923169734962840.153660530074320.07683026503716
900.9370798491893650.1258403016212690.0629201508106346
910.9418532049565940.1162935900868120.058146795043406
920.9323556169861270.1352887660277460.0676443830138728
930.9495076896324330.1009846207351330.0504923103675665
940.9430775990887550.1138448018224910.0569224009112455
950.9324881135183790.1350237729632410.0675118864816207
960.9724291423540090.05514171529198220.0275708576459911
970.9702126323162370.05957473536752570.0297873676837629
980.9971821622564910.005635675487018830.00281783774350942
990.9966877960556520.006624407888696750.00331220394434838
1000.9992235228108190.001552954378361240.00077647718918062
1010.9993935406864330.001212918627134090.000606459313567044
1020.9992051374097180.001589725180565090.000794862590282545
1030.9995822405100350.0008355189799293410.00041775948996467
1040.9994306452023620.00113870959527680.000569354797638402
1050.9992609055013820.001478188997236680.000739094498618339
1060.9997392766293460.0005214467413072280.000260723370653614
1070.9996555244834260.0006889510331472460.000344475516573623
1080.9995535950240620.0008928099518768630.000446404975938432
1090.9994475170859990.001104965828002350.000552482914001174
1100.9992813052451770.001437389509646230.000718694754823113
1110.9994182928900370.001163414219925330.000581707109962664
1120.9992985068999040.001402986200192160.00070149310009608
1130.9992088625092080.00158227498158350.000791137490791748
1140.9989967896148110.002006420770378560.00100321038518928
1150.9989732826284520.002053434743095470.00102671737154774
1160.9991118861040830.001776227791833780.000888113895916888
1170.9999243647132930.0001512705734135277.56352867067634e-05
1180.999966058479686.78830406393902e-053.39415203196951e-05
1190.9999604305663277.91388673464524e-053.95694336732262e-05
1200.9999456806322090.0001086387355824475.43193677912234e-05
1210.9999247941036150.000150411792769597.52058963847951e-05
1220.9998965006429170.0002069987141659180.000103499357082959
1230.9998953129202780.000209374159443550.000104687079721775
1240.9999660034014586.79931970845134e-053.39965985422567e-05
1250.9999789437189544.21125620910678e-052.10562810455339e-05
1260.9999730261483015.39477033979961e-052.6973851698998e-05
1270.9999687893389566.24213220876062e-053.12106610438031e-05
1280.9999636139417157.27721165697583e-053.63860582848792e-05
1290.9999903001099521.93997800961257e-059.69989004806285e-06
1300.999986664765532.66704689406359e-051.3335234470318e-05
1310.9999882904111952.34191776090866e-051.17095888045433e-05
1320.9999981364539563.72709208748716e-061.86354604374358e-06
1330.9999973559182535.28816349496907e-062.64408174748454e-06
1340.9999961590702447.68185951243387e-063.84092975621693e-06
1350.9999959975295728.00494085646837e-064.00247042823418e-06
1360.9999942726208441.1454758312413e-055.72737915620652e-06
1370.9999925799758531.48400482938797e-057.42002414693986e-06
1380.999992385810511.52283789794347e-057.61418948971735e-06
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1400.99998486035773.02792846007127e-051.51396423003564e-05
1410.9999795266982294.09466035415328e-052.04733017707664e-05
1420.9999727461727785.45076544449272e-052.72538272224636e-05
1430.9999847129708243.05740583521059e-051.52870291760529e-05
1440.9999788642480744.22715038526165e-052.11357519263083e-05
1450.9999709459813565.81080372872223e-052.90540186436112e-05
1460.9999614537179557.7092564090872e-053.8546282045436e-05
1470.9999563972190948.72055618123315e-054.36027809061657e-05
1480.9999501647636399.96704727224675e-054.98352363612337e-05
1490.9999298180139520.0001403639720969167.01819860484581e-05
1500.9999131535248620.0001736929502757538.68464751378763e-05
1510.9998791903895970.0002416192208061940.000120809610403097
1520.9998640575183320.0002718849633369360.000135942481668468
1530.9998123367047970.0003753265904065490.000187663295203275
1540.9997556539401050.0004886921197895720.000244346059894786
1550.9999322115057430.0001355769885144076.77884942572035e-05
1560.9999231348185210.0001537303629575757.68651814787874e-05
1570.9998951700688710.0002096598622578570.000104829931128929
1580.9998830285025580.0002339429948840540.000116971497442027
1590.9998379784855420.0003240430289166260.000162021514458313
1600.9997782671012740.0004434657974511820.000221732898725591
1610.9998580058982840.0002839882034315240.000141994101715762
1620.9998673415530970.0002653168938066370.000132658446903318
1630.9998187339834480.0003625320331032130.000181266016551606
1640.9997527885426690.0004944229146628320.000247211457331416
1650.9996616871110730.0006766257778531990.000338312888926599
1660.9996978068516260.0006043862967478110.000302193148373906
1670.999617999399860.0007640012002793120.000382000600139656
1680.9997502544689550.0004994910620905250.000249745531045263
1690.999681007495370.0006379850092607540.000318992504630377
1700.9999295941661520.0001408116676957.04058338474999e-05
1710.9999398637369320.0001202725261359856.01362630679925e-05
1720.9999859752454942.80495090121302e-051.40247545060651e-05
1730.9999905340165221.89319669552022e-059.46598347760111e-06
1740.9999950347733069.9304533874727e-064.96522669373635e-06
1750.9999999999984123.17558044341504e-121.58779022170752e-12
1760.9999999999991821.63553389316608e-128.1776694658304e-13
1770.9999999999991331.73446719098455e-128.67233595492276e-13
1780.9999999999985292.942563335796e-121.471281667898e-12
17917.05779421123516e-173.52889710561758e-17
18011.41292874212643e-167.06464371063216e-17
18113.16804162519025e-161.58402081259512e-16
18218.6629855974362e-174.3314927987181e-17
18311.9221421734422e-169.61071086721101e-17
18413.39572251186631e-161.69786125593315e-16
18517.77683473200133e-183.88841736600066e-18
18611.83332117968753e-179.16660589843764e-18
18714.07446041464208e-172.03723020732104e-17
18817.4860371982659e-173.74301859913295e-17
18911.43492965829879e-167.17464829149396e-17
19012.15081291664043e-161.07540645832022e-16
19113.76608302947951e-161.88304151473975e-16
19214.06262018275787e-162.03131009137893e-16
19315.64962497991968e-162.82481248995984e-16
19412.16467707417847e-161.08233853708923e-16
19511.59009435987536e-167.95047179937682e-17
19617.76086565614697e-173.88043282807349e-17
19711.23884945108547e-166.19424725542737e-17
19812.78918213899799e-161.394591069499e-16
19916.58757123812776e-163.29378561906388e-16
20019.45146490501017e-164.72573245250509e-16
2010.9999999999999992.20754166315111e-151.10377083157556e-15
2020.9999999999999975.16365334391364e-152.58182667195682e-15
2030.9999999999999951.07611101676703e-145.38055508383513e-15
2040.9999999999999911.84260148066583e-149.21300740332915e-15
2050.9999999999999823.58969328530853e-141.79484664265427e-14
2060.9999999999999657.06389429853947e-143.53194714926973e-14
2070.9999999999999281.45074102095394e-137.25370510476971e-14
2080.9999999999999151.70198846621851e-138.50994233109255e-14
2090.999999999999823.60614869927132e-131.80307434963566e-13
2100.9999999999997255.50559995701118e-132.75279997850559e-13
2110.9999999999994011.19732326455815e-125.98661632279073e-13
2120.9999999999987672.46584404239023e-121.23292202119511e-12
2130.9999999999973145.37281286567734e-122.68640643283867e-12
2140.9999999999965686.86464186087816e-123.43232093043908e-12
2150.9999999999994161.16781944530152e-125.8390972265076e-13
2160.9999999999994861.02760555762392e-125.13802778811958e-13
2170.9999999999988262.34795889718093e-121.17397944859046e-12
2180.999999999998353.30090315507402e-121.65045157753701e-12
2190.9999999999966936.61435723457499e-123.30717861728749e-12
2200.9999999999950859.83057279814245e-124.91528639907122e-12
2210.9999999999889442.21112467978255e-111.10556233989127e-11
2220.999999999988712.25798019317615e-111.12899009658808e-11
2230.9999999999813783.72433957172208e-111.86216978586104e-11
2240.9999999999579948.40109110470858e-114.20054555235429e-11
2250.9999999999335051.32990698114572e-106.64953490572858e-11
2260.9999999998539032.92194976286055e-101.46097488143027e-10
2270.9999999996806616.38677226784351e-103.19338613392175e-10
2280.9999999995378139.24373644891587e-104.62186822445793e-10
2290.9999999992443271.51134629504282e-097.55673147521412e-10
2300.9999999983888133.22237381546358e-091.61118690773179e-09
2310.9999999990772921.84541505709077e-099.22707528545387e-10
2320.9999999983471723.30565687205361e-091.6528284360268e-09
2330.9999999967507026.49859645054295e-093.24929822527148e-09
2340.9999999942222221.15555569035766e-085.7777784517883e-09
2350.9999999876598842.46802326711632e-081.23401163355816e-08
2360.9999999922766371.54467268381705e-087.72336341908523e-09
2370.9999999943846861.12306273523906e-085.61531367619528e-09
2380.999999987701942.45961208492919e-081.2298060424646e-08
2390.9999999732598295.3480341508216e-082.6740170754108e-08
2400.999999943466551.13066899902317e-075.65334499511585e-08
2410.9999999440773081.11845384249438e-075.59226921247191e-08
2420.9999998827575032.34484994370045e-071.17242497185022e-07
2430.9999998840055732.31988854421517e-071.15994427210758e-07
2440.9999997547970874.90405825566694e-072.45202912783347e-07
2450.9999994943125581.01137488481729e-065.05687442408646e-07
2460.9999989999924642.00001507241716e-061.00000753620858e-06
2470.9999988770497762.24590044731409e-061.12295022365704e-06
2480.9999987891735032.42165299328103e-061.21082649664052e-06
2490.9999978095632774.3808734461415e-062.19043672307075e-06
2500.9999955387387738.92252245469551e-064.46126122734776e-06
2510.9999965350337246.92993255138344e-063.46496627569172e-06
2520.9999935757815861.28484368279463e-056.42421841397314e-06
2530.9999870475049262.59049901480259e-051.2952495074013e-05
2540.9999951133659379.77326812572281e-064.8866340628614e-06
2550.9999956062669018.78746619835498e-064.39373309917749e-06
2560.9999924097457911.51805084181889e-057.59025420909447e-06
2570.9999877684053912.44631892185101e-051.2231594609255e-05
2580.9999784887647034.30224705933326e-052.15112352966663e-05
2590.99997168746865.66250627999978e-052.83125313999989e-05
2600.9999400809311590.0001198381376818095.99190688409043e-05
2610.999950892547829.82149043590407e-054.91074521795204e-05
2620.9999250355064160.0001499289871689687.49644935844838e-05
2630.9999414168647990.000117166270401185.85831352005898e-05
2640.9999158849398570.0001682301202862778.41150601431383e-05
2650.9998405252201970.0003189495596064770.000159474779803239
2660.999706796000930.0005864079981402290.000293203999070115
2670.9996193921103840.0007612157792321240.000380607889616062
2680.9993939953288630.001212009342274130.000606004671137064
2690.9986889325881090.002622134823781570.00131106741189078
2700.9982613343757660.00347733124846740.0017386656242337
2710.9998954945631830.0002090108736342850.000104505436817142
2720.9997045983623420.0005908032753152630.000295401637657631
2730.9998346622612670.0003306754774658030.000165337738732902
2740.9995399042038160.0009201915923678720.000460095796183936
2750.9987472423283480.002505515343303930.00125275767165197
2760.9977076600826690.004584679834661830.00229233991733092
2770.9987322708927930.002535458214414260.00126772910720713
2780.9963703827052970.007259234589405830.00362961729470292
2790.9913835249063460.0172329501873080.008616475093654
2800.9715247681464010.05695046370719810.028475231853599
2810.9783732582499880.04325348350002440.0216267417500122






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1810.660583941605839NOK
5% type I error level1830.667883211678832NOK
10% type I error level1880.686131386861314NOK

\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 & 181 & 0.660583941605839 & NOK \tabularnewline
5% type I error level & 183 & 0.667883211678832 & NOK \tabularnewline
10% type I error level & 188 & 0.686131386861314 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202342&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]181[/C][C]0.660583941605839[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]183[/C][C]0.667883211678832[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]188[/C][C]0.686131386861314[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202342&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202342&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 level1810.660583941605839NOK
5% type I error level1830.667883211678832NOK
10% type I error level1880.686131386861314NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}