FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 22 Dec 2011 17:16:19 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324592244cxsj0n2gr8ap5c5.htm/, Retrieved Fri, 03 May 2024 06:14:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160037, Retrieved Fri, 03 May 2024 06:14:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
-   PD    [Multiple Regression] [] [2011-12-22 22:16:19] [e569a00cc6e8044e6afea1f18dd335a0] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30	112285	145	56	94
28	84786	101	56	103
38	83123	98	54	93
30	101193	132	89	103
22	38361	60	40	51
26	68504	38	25	70
25	119182	144	92	91
18	22807	5	18	22
11	17140	28	63	38
26	116174	84	44	93
25	57635	79	33	60
38	66198	127	84	123
44	71701	78	88	148
30	57793	60	55	90
40	80444	131	60	124
34	53855	84	66	70
47	97668	133	154	168
30	133824	150	53	115
31	101481	91	119	71
23	99645	132	41	66
36	114789	136	61	134
36	99052	124	58	117
30	67654	118	75	108
25	65553	70	33	84
39	97500	107	40	156
34	69112	119	92	120
31	82753	89	100	114
31	85323	112	112	94
33	72654	108	73	120
25	30727	52	40	81
33	77873	112	45	110
35	117478	116	60	133
42	74007	123	62	122
43	90183	125	75	158
30	61542	27	31	109
33	101494	162	77	124
13	27570	32	34	39
32	55813	64	46	92
36	79215	92	99	126
0	1423	0	17	0
28	55461	83	66	70
14	31081	41	30	37
17	22996	47	76	38
32	83122	120	146	120
30	70106	105	67	93
35	60578	79	56	95
20	39992	65	107	77
28	79892	70	58	90
28	49810	55	34	80
39	71570	39	61	31
34	100708	67	119	110
26	33032	21	42	66
39	82875	127	66	138
39	139077	152	89	133
33	71595	113	44	113
28	72260	99	66	100
4	5950	7	24	7
39	115762	141	259	140
18	32551	21	17	61
14	31701	35	64	41
29	80670	109	41	96
44	143558	133	68	164
21	117105	123	168	78
16	23789	26	43	49
28	120733	230	132	102
35	105195	166	105	124
28	73107	68	71	99
38	132068	147	112	129
23	149193	179	94	62
36	46821	61	82	73
32	87011	101	70	114
29	95260	108	57	99
25	55183	90	53	70
27	106671	114	103	104
36	73511	103	121	116
28	92945	142	62	91
23	78664	79	52	74
40	70054	88	52	138
23	22618	25	32	67
40	74011	83	62	151
28	83737	113	45	72
34	69094	118	46	120
33	93133	110	63	115
28	95536	129	75	105
34	225920	51	88	104
30	62133	93	46	108
33	61370	76	53	98
22	43836	49	37	69
38	106117	118	90	111
26	38692	38	63	99
35	84651	141	78	71
8	56622	58	25	27
24	15986	27	45	69
29	95364	91	46	107
20	26706	48	41	73
29	89691	63	144	107
45	67267	56	82	93
37	126846	144	91	129
33	41140	73	71	69
33	102860	168	63	118
25	51715	64	53	73
32	55801	97	62	119
29	111813	117	63	104
28	120293	100	32	107
28	138599	149	39	99
31	161647	187	62	90
52	115929	127	117	197
21	24266	37	34	36
24	162901	245	92	85
41	109825	87	93	139
33	129838	177	54	106
32	37510	49	144	50
19	43750	49	14	64
20	40652	73	61	31
31	87771	177	109	63
31	85872	94	38	92
32	89275	117	73	106
18	44418	60	75	63
23	192565	55	50	69
17	35232	39	61	41
20	40909	64	55	56
12	13294	26	77	25
17	32387	64	75	65
30	140867	58	72	93
31	120662	95	50	114
10	21233	25	32	38
13	44332	26	53	44
22	61056	76	42	87
42	101338	129	71	110
1	1168	11	10	0
9	13497	2	35	27
32	65567	101	65	83
11	25162	28	25	30
25	32334	36	66	80
36	40735	89	41	98
31	91413	193	86	82
0	855	4	16	0
24	97068	84	42	60
13	44339	23	19	28
8	14116	39	19	9
13	10288	14	45	33
19	65622	78	65	59
18	16563	14	35	49
33	76643	101	95	115
40	110681	82	49	140
22	29011	24	37	49
38	92696	36	64	120
24	94785	75	38	66
8	8773	16	34	21
35	83209	55	32	124
43	93815	131	65	152
43	86687	131	52	139
14	34553	39	62	38
41	105547	144	65	144
38	103487	139	83	120
45	213688	211	95	160
31	71220	78	29	114
13	23517	50	18	39
28	56926	39	33	78
31	91721	90	247	119
40	115168	166	139	141
30	111194	12	29	101
16	51009	57	118	56
37	135777	133	110	133
30	51513	69	67	83
35	74163	119	42	116
32	51633	119	65	90
27	75345	65	94	36
20	33416	61	64	50
18	83305	49	81	61
31	98952	101	95	97
31	102372	196	67	98
21	37238	15	63	78
39	103772	136	83	117
41	123969	89	45	148
13	27142	40	30	41
32	135400	123	70	105
18	21399	21	32	55
39	130115	163	83	132
14	24874	29	31	44
7	34988	35	67	21
17	45549	13	66	50
0	6023	5	10	0
30	64466	96	70	73
37	54990	151	103	86
0	1644	6	5	0
5	6179	13	20	13
1	3926	3	5	4
16	32755	56	36	57
32	34777	23	34	48
24	73224	57	48	46
17	27114	14	40	48
11	20760	43	43	32
24	37636	20	31	68
22	65461	72	42	87
12	30080	87	46	43
19	24094	21	33	67
13	69008	56	18	46
17	54968	59	55	46
15	46090	82	35	56
16	27507	43	59	48
24	10672	25	19	44
15	34029	38	66	60
17	46300	25	60	65
18	24760	38	36	55
20	18779	12	25	38
16	21280	29	47	52
16	40662	47	54	60
18	28987	45	53	54
22	22827	40	40	86
8	18513	30	40	24
17	30594	41	39	52
18	24006	25	14	49
16	27913	23	45	61
23	42744	14	36	61
22	12934	16	28	81
13	22574	26	44	43
13	41385	21	30	40
16	18653	27	22	40
16	18472	9	17	56
20	30976	33	31	68
22	63339	42	55	79
17	25568	68	54	47
18	33747	32	21	57
17	4154	6	14	41
12	19474	67	81	29
7	35130	33	35	3
17	39067	77	43	60
14	13310	46	46	30
23	65892	30	30	79
17	4143	0	23	47
14	28579	36	38	40
15	51776	46	54	48
17	21152	18	20	36
21	38084	48	53	42
18	27717	29	45	49
18	32928	28	39	57
17	11342	34	20	12
17	19499	33	24	40
16	16380	34	31	43
15	36874	33	35	33
21	48259	80	151	77
16	16734	32	52	43
14	28207	30	30	45
15	30143	41	31	47
17	41369	41	29	43
15	45833	51	57	45
15	29156	18	40	50
10	35944	34	44	35
6	36278	31	25	7
22	45588	39	77	71
21	45097	54	35	67
1	3895	14	11	0
18	28394	24	63	62
17	18632	24	44	54
4	2325	8	19	4
10	25139	26	13	25
16	27975	19	42	40
16	14483	11	38	38
9	13127	14	29	19
16	5839	1	20	17
17	24069	39	27	67
7	3738	5	20	14
15	18625	37	19	30
14	36341	32	37	54
14	24548	38	26	35
18	21792	47	42	59
12	26263	47	49	24
16	23686	37	30	58
21	49303	51	49	42
19	25659	45	67	46
16	28904	21	28	61
1	2781	1	19	3
16	29236	42	49	52
10	19546	26	27	25
19	22818	21	30	40
12	32689	4	22	32
2	5752	10	12	4
14	22197	43	31	49
17	20055	34	20	63
19	25272	31	20	67
14	82206	19	39	32
11	32073	34	29	23
4	5444	6	16	7
16	20154	11	27	54
20	36944	24	21	37
12	8019	16	19	35
15	30884	72	35	51
16	19540	21	14	39

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160037&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160037&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160037&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
feedback_messages[t] = -5.67318631741232 + 2.81108924997453compendiums_reviewed[t] + 0.00012810977145906totsize[t] + 0.0512220026088621totblogs[t] + 0.0209089792864892logins[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
feedback_messages[t] =  -5.67318631741232 +  2.81108924997453compendiums_reviewed[t] +  0.00012810977145906totsize[t] +  0.0512220026088621totblogs[t] +  0.0209089792864892logins[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160037&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]feedback_messages[t] =  -5.67318631741232 +  2.81108924997453compendiums_reviewed[t] +  0.00012810977145906totsize[t] +  0.0512220026088621totblogs[t] +  0.0209089792864892logins[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160037&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160037&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
feedback_messages[t] = -5.67318631741232 + 2.81108924997453compendiums_reviewed[t] + 0.00012810977145906totsize[t] + 0.0512220026088621totblogs[t] + 0.0209089792864892logins[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-5.673186317412322.184924-2.59650.0099080.004954
compendiums_reviewed2.811089249974530.1301221.603900
totsize0.000128109771459063.9e-053.31210.0010460.000523
totblogs0.05122200260886210.0321391.59380.1121010.05605
logins0.02090897928648920.0324390.64460.519730.259865

\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) & -5.67318631741232 & 2.184924 & -2.5965 & 0.009908 & 0.004954 \tabularnewline
compendiums_reviewed & 2.81108924997453 & 0.13012 & 21.6039 & 0 & 0 \tabularnewline
totsize & 0.00012810977145906 & 3.9e-05 & 3.3121 & 0.001046 & 0.000523 \tabularnewline
totblogs & 0.0512220026088621 & 0.032139 & 1.5938 & 0.112101 & 0.05605 \tabularnewline
logins & 0.0209089792864892 & 0.032439 & 0.6446 & 0.51973 & 0.259865 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160037&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]-5.67318631741232[/C][C]2.184924[/C][C]-2.5965[/C][C]0.009908[/C][C]0.004954[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]2.81108924997453[/C][C]0.13012[/C][C]21.6039[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]totsize[/C][C]0.00012810977145906[/C][C]3.9e-05[/C][C]3.3121[/C][C]0.001046[/C][C]0.000523[/C][/ROW]
[ROW][C]totblogs[/C][C]0.0512220026088621[/C][C]0.032139[/C][C]1.5938[/C][C]0.112101[/C][C]0.05605[/C][/ROW]
[ROW][C]logins[/C][C]0.0209089792864892[/C][C]0.032439[/C][C]0.6446[/C][C]0.51973[/C][C]0.259865[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160037&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160037&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)-5.673186317412322.184924-2.59650.0099080.004954
compendiums_reviewed2.811089249974530.1301221.603900
totsize0.000128109771459063.9e-053.31210.0010460.000523
totblogs0.05122200260886210.0321391.59380.1121010.05605
logins0.02090897928648920.0324390.64460.519730.259865






Multiple Linear Regression - Regression Statistics
Multiple R0.926842020789166
R-squared0.859036131500544
Adjusted R-squared0.857050724901961
F-TEST (value)432.675166947296
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.7320294685805
Sum Squared Residuals61637.2846027274

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.926842020789166 \tabularnewline
R-squared & 0.859036131500544 \tabularnewline
Adjusted R-squared & 0.857050724901961 \tabularnewline
F-TEST (value) & 432.675166947296 \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 & 14.7320294685805 \tabularnewline
Sum Squared Residuals & 61637.2846027274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160037&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.926842020789166[/C][/ROW]
[ROW][C]R-squared[/C][C]0.859036131500544[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.857050724901961[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]432.675166947296[/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]14.7320294685805[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]61637.2846027274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160037&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160037&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 R0.926842020789166
R-squared0.859036131500544
Adjusted R-squared0.857050724901961
F-TEST (value)432.675166947296
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.7320294685805
Sum Squared Residuals61637.2846027274






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
194101.642390088433-7.6423900884326
210390.24355286834112.756447131659
393117.94591485175-24.9459148517502
4103100.2455067859482.75449321405235
55164.9948754529597-13.9948754529597
67078.660326547256-8.66032654725595
79189.17201818401781.82798181598216
82248.4806913799971-26.4806913799971
93830.19607868321287.80392131678723
109387.52080207916035.47919792083969
116076.7241861325482-16.7241861325482
12123117.8903644240575.10963557594267
13148133.03564578555514.9643542144446
149090.2866532210457-0.286653221045731
15124125.040667235772-1.04066723577188
1670102.485840775702-32.4858407757022
17168148.99274274735219.0072572526478
18115104.59512953107410.4048704689258
1971101.620658921734-30.6206589217337
206679.3659371041558-13.3659371041558
21134118.47325932896615.526740671034
22117115.7798048863491.22019511365107
2310894.938999414447313.0610005855527
248477.27756127948126.72243872051877
25156122.76711059946133.2328894005394
26120106.77681511161213.2231848883881
2711498.721704510187415.2782954898126
2894100.479960434279-6.4799604342789
29120103.45877803700516.5412219629954
308172.04037718669398.9596228133061
31110103.7468195246636.25318047533681
32133114.96130822298118.0386917770189
33122129.470245074541-7.47024507454106
34158134.72789872357923.2721012764206
3510988.574795165277520.4252048347224
36124110.00308790390813.9969120960916
373936.75296971060712.24703028939291
389295.6718815703629-3.6718815703629
39126112.45665541717813.543344582822
400-5.135433464755785.13543346475578
417085.7738275662093-15.7738275662093
423740.3912144745082-3.39121447450818
433849.057859785017-11.057859785017
44120104.12976139388415.8702386061164
459394.4199667058578-1.4199667058578
4695105.693012213287-10.6930122132867
477761.238655615499415.7613443845006
489088.07051952451851.92948047548147
498082.9465758374784-2.9465758374784
5031116.401216613141-85.4012166131408
51110108.7255697557071.27443024429323
526673.6006953375798-7.60069533757983
53138122.46157870549815.5384212945022
54133131.4230606698511.57693933014928
55113102.97285940276610.0271405972344
5610088.745495658691911.2545043413081
5777.19379334380497-0.193793343804969
58140131.4272657982888.5727342017116
596150.527636055549510.4723639444505
604140.87421581290030.125784187099738
619692.62348363056353.37651636943649
62164144.64026019104719.3597398089532
637878.1749975597863-0.174997559786313
644944.58270321256924.41729678743079
65102103.045435585296-1.04543558529615
66124116.8897400984857.11025990151539
679987.370667450675411.6293325493246
68129127.9388465422651.06115345773543
696289.2291300852098-27.2291300852098
7073106.363332751788-33.3633327517882
71114102.06567981974611.9343201802537
729994.77592686212624.22407313787383
737077.3916825873578-7.3916825873578
7410491.884754027128112.1152459728719
75116112.7493568537763.25064314622421
769193.5143564763577-2.51435647635767
777474.193298623055-0.193298623054963
78138121.33978876383916.6602112361607
796763.82909064525213.17090935474787
80151121.79969890932329.2003010906767
817290.4938309772353-18.4938309772353
82120105.76147408593814.2385259140617
83115105.9756922590689.02430774093247
8410593.452219591017211.5477804089828
85104123.298720060016-19.2987200600157
8610892.344794901692115.6552050983079
879899.9559037066472-1.9559037066472
886965.07010748514113.92989251485892
89111122.668834243171-11.6688342431707
909975.63565925340523.364340746595
9171112.412760447673-41.4127604476729
922727.5629597954151-0.562959795415065
936966.16481662685232.83518337314774
9410793.688477461855913.3115225381441
957357.285822514635415.7141774853646
9610793.576574625396413.4234253746036
9793134.026358375767-41.0263583757666
98129123.8660134928885.13398650711203
996997.5869386493606-28.5869386493606
100118110.1926921573647.80730784263619
1017375.6156258321074-2.61562583210737
10211997.695214007781721.3047859922183
10310497.48297980828676.51702019171331
10410794.239309018053212.7606909819468
1059999.2407274772224-0.240727477222391
10690113.05401186246-23.0540118624604
107197164.30663728458532.6933627154146
1083659.0745190385469-23.0745190385469
1098597.135182295957-12.135182295957
110139130.0519778826498.94802211735073
111106113.921654781688-7.9216547816877
1125094.6078383542907-44.6078383542907
1136456.14491577128287.85508422871725
1143160.7711710383548-29.7711710383548
11563104.060276386527-41.0602763865272
1169298.0810321846502-6.08103218465021
117106103.2379993219312.76200067806913
1186355.25829361381627.7417063861838
1196987.5139836808277-18.5139836808277
1204149.9020002384218-8.90200023842178
1215660.2176433504211-4.21764335042108
1222532.7047394569489-7.70473945694888
1236551.110803713853213.8891962861468
12493101.182253017888-8.1822530178883
125114102.84010088775811.1598991122424
1263827.107498362112410.8925016378876
1274438.9902842905945.00971570940602
1288768.763696716537818.2363032834622
129110133.46712606752-23.4671260675202
1300-1.939933032811261.93993303281126
1312722.18997279798624.81002720201377
1328399.2139489841458-16.2139489841458
1333030.4292340569708-0.429234056970758
1348071.97033100913558.02966899086446
13598106.16060460499-8.16060460499043
13682104.865497692334-22.8654976923337
1370-5.024220783795575.02422078379557
1386079.4091403271415-19.4091403271415
1392838.126609755427-10.126609755427
140921.0188539244889-12.0188539244889
1413333.8469793654435-0.846979365443475
1425961.4987287119033-2.49872871190327
1434948.49722463835680.502775361643153
144115104.07125144139610.9287485586045
145140126.17444549539413.8255545046061
1464961.890330058039-12.890330058039
147120116.2056353250433.79436467495672
1486678.5720317782747-12.5720317782747
1492119.46989204487671.53010795512332
150124106.86112088568817.1388791143117
151152135.29143563630716.708564363693
152139134.1064524546224.89354754537753
1533841.402654932964-3.40265493296397
154144131.83812700903112.1618729909692
155120123.261204744014-3.26120474401409
156160160.995546357672-0.99554635767165
15711495.196234957911918.8037650420881
1583936.82119318525922.17880681474079
1597883.0177439501528-5.01774395015279
160119102.99543489835516.0045651016449
161141132.9337303948598.0662696051409
16210194.1255535400576.8744464599431
1635651.22590671904634.77409328095375
164133124.8439904395358.15600956046535
1658390.1940296312005-7.19402963120046
166116109.1895378529026.81046214709829
1679098.3508634755947-8.35086347559474
1683685.173528384989-49.173528384989
1695059.2922316386302-9.29223163863016
1706159.80211014356611.19788985643388
17197101.307073832927-4.30707383292664
17298106.025848079137-8.02584807913683
1737860.215835335827117.7841646641729
174117125.955139271028-8.95513927102786
175148130.96277548963217.0372245103675
1764137.02427883214763.97572116785245
177105109.391667608274-4.39166760827373
1785549.41259057353545.58740942646457
179132130.7129290510131.28707094898683
1804439.00228207104194.99771792895806
1812121.6804148197239-0.680414819723934
1825049.99648157916690.00351842083306046
1830-4.436381358005224.43638135800522
1847393.2991565092084-20.2991565092084
18586115.270019524626-29.2700195246256
1860-5.050696941048025.05069694104802
1871310.25791582995082.74208417004915
1884-2.100927200430516.10092720043051
1895747.12163264673169.87836735326841
1904890.6259545595489-42.6259545595489
1914675.0969507417513-29.0969507417513
1924847.14236648347930.857633516520693
1933231.00998650929770.990013490702288
1946868.287113450668-0.287113450668032
1958769.123132249379517.8768677506205
1964337.33155388192015.66844611807991
1976752.589844636878614.4101553631214
1984642.95636681435653.04363318564351
1994653.3293608643961-7.3293608643961
2005647.32975028770758.67024971229245
2014846.26433305578851.73566694421152
2024464.8379638346524-20.8379638346524
2036044.179028577231115.8209714227689
2046550.581902173120114.4180978268799
2055550.79757747690594.20242252309406
2063854.0917605937766-16.0917605937766
2075244.4985777209517.50142227904903
2086048.049960213335411.9500397866646
2095452.05310414699571.94689585300426
2108661.980378210937424.0196217890626
2112421.56024313113092.43975686886906
2125248.95027357930963.04972642069038
2134949.5750991310078-0.575099131007843
2146144.999179860812816.0008201391872
2156165.9276217940857-4.92762179408565
2168159.232752427842321.7672475721577
2174336.01469106960936.98530893039066
2184037.87572825747062.12427174252943
2194043.5368648639481-3.53686486394807
2205642.48713605192213.512863948078
2216856.855431406767811.1445685932322
2227967.586439966801911.4135600331981
2234750.003022627693-3.003022627693
2245751.3279332880585.67206671194199
2254143.2475566484597-2.24755664845967
2262935.6801958686752-6.68019586867517
227320.9270750648857-17.9270750648857
2286051.96337568394728.03662431605277
2293038.7052294075374-8.70522940753736
2307969.58720494984289.41279505015716
2314743.12699623889883.87300376110115
2324039.98184564756520.0181543524347811
2334846.6114609607481.38853903925198
2343646.1652844507461-10.1652844507461
2354261.805452495709-19.805452495709
2364950.903580861209-1.90358086120903
2375751.39448500195445.6055149980456
2381245.7280796344745-33.7280796344745
2394046.8054849548031-6.80548495480312
2404343.7924061852621-0.792406185262063
2413343.6392125061066-10.6392125061066
2427766.797153473864510.2028465261355
2434344.1744016041571-1.17440160415712
2444539.45958496263745.54041503736264
2454743.10304573814063.89695426185939
2464350.1215665739161-7.1215665739161
2474546.1689415398706-1.16894153987061
2485041.98667614728518.01332385271491
2493529.70402698496435.29597301503572
250717.9515220344636-10.9515220344636
2517165.61869495010835.3813050498917
2526762.63485671144784.36514328855225
2530-1.416002698929321.41600269892932
2546251.110562790599310.8894372094007
2555446.65159534519817.34840465480187
25646.67607252844229-2.67607252844229
2572527.2618465255971-2.26184652559707
2584044.7395077183483-4.73950771834832
2593842.5176387438058-4.51763874380582
2601922.6317823381338-3.63178233813379
2611740.5216762260683-23.5216762260683
2626747.761005563883719.2389944361163
2631415.1576023568974-1.15760235689745
2643041.1716816286018-11.1716816286018
2655440.750436703908513.2495632960915
2663539.3169714125936-4.3169714125936
2675951.00379957441417.99620042558585
2682434.8564057177658-10.8564057177658
2695844.861133204082113.1388667959179
2704263.3127461123888-21.3127461123888
2714654.7305697875654-8.73056978756537
2726144.668239991240716.3317600087593
2733-2.057331183958015.05733118395801
2745246.22552305516745.77447694483255
2752526.8380542838374-1.8380542838374
2764052.3636496306374-12.3636496306374
2773232.9125505562455-0.912550556245477
27841.449007365495722.55099263450428
2794939.37644024937019.6235597506299
2806346.844300073197316.1556999268027
2816752.981161243021714.0188387569783
2823246.0021232965361-14.0021232965361
2832331.7055686203235-8.70556862032345
28476.910475962545910.089524037454091
2855443.014150485598810.9858495144012
2863756.9499027064908-19.9499027064908
2873530.30401958779734.69598041220266
2885144.86949307681256.13050692318754
2893943.1758943812872-4.17589438128717

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 94 & 101.642390088433 & -7.6423900884326 \tabularnewline
2 & 103 & 90.243552868341 & 12.756447131659 \tabularnewline
3 & 93 & 117.94591485175 & -24.9459148517502 \tabularnewline
4 & 103 & 100.245506785948 & 2.75449321405235 \tabularnewline
5 & 51 & 64.9948754529597 & -13.9948754529597 \tabularnewline
6 & 70 & 78.660326547256 & -8.66032654725595 \tabularnewline
7 & 91 & 89.1720181840178 & 1.82798181598216 \tabularnewline
8 & 22 & 48.4806913799971 & -26.4806913799971 \tabularnewline
9 & 38 & 30.1960786832128 & 7.80392131678723 \tabularnewline
10 & 93 & 87.5208020791603 & 5.47919792083969 \tabularnewline
11 & 60 & 76.7241861325482 & -16.7241861325482 \tabularnewline
12 & 123 & 117.890364424057 & 5.10963557594267 \tabularnewline
13 & 148 & 133.035645785555 & 14.9643542144446 \tabularnewline
14 & 90 & 90.2866532210457 & -0.286653221045731 \tabularnewline
15 & 124 & 125.040667235772 & -1.04066723577188 \tabularnewline
16 & 70 & 102.485840775702 & -32.4858407757022 \tabularnewline
17 & 168 & 148.992742747352 & 19.0072572526478 \tabularnewline
18 & 115 & 104.595129531074 & 10.4048704689258 \tabularnewline
19 & 71 & 101.620658921734 & -30.6206589217337 \tabularnewline
20 & 66 & 79.3659371041558 & -13.3659371041558 \tabularnewline
21 & 134 & 118.473259328966 & 15.526740671034 \tabularnewline
22 & 117 & 115.779804886349 & 1.22019511365107 \tabularnewline
23 & 108 & 94.9389994144473 & 13.0610005855527 \tabularnewline
24 & 84 & 77.2775612794812 & 6.72243872051877 \tabularnewline
25 & 156 & 122.767110599461 & 33.2328894005394 \tabularnewline
26 & 120 & 106.776815111612 & 13.2231848883881 \tabularnewline
27 & 114 & 98.7217045101874 & 15.2782954898126 \tabularnewline
28 & 94 & 100.479960434279 & -6.4799604342789 \tabularnewline
29 & 120 & 103.458778037005 & 16.5412219629954 \tabularnewline
30 & 81 & 72.0403771866939 & 8.9596228133061 \tabularnewline
31 & 110 & 103.746819524663 & 6.25318047533681 \tabularnewline
32 & 133 & 114.961308222981 & 18.0386917770189 \tabularnewline
33 & 122 & 129.470245074541 & -7.47024507454106 \tabularnewline
34 & 158 & 134.727898723579 & 23.2721012764206 \tabularnewline
35 & 109 & 88.5747951652775 & 20.4252048347224 \tabularnewline
36 & 124 & 110.003087903908 & 13.9969120960916 \tabularnewline
37 & 39 & 36.7529697106071 & 2.24703028939291 \tabularnewline
38 & 92 & 95.6718815703629 & -3.6718815703629 \tabularnewline
39 & 126 & 112.456655417178 & 13.543344582822 \tabularnewline
40 & 0 & -5.13543346475578 & 5.13543346475578 \tabularnewline
41 & 70 & 85.7738275662093 & -15.7738275662093 \tabularnewline
42 & 37 & 40.3912144745082 & -3.39121447450818 \tabularnewline
43 & 38 & 49.057859785017 & -11.057859785017 \tabularnewline
44 & 120 & 104.129761393884 & 15.8702386061164 \tabularnewline
45 & 93 & 94.4199667058578 & -1.4199667058578 \tabularnewline
46 & 95 & 105.693012213287 & -10.6930122132867 \tabularnewline
47 & 77 & 61.2386556154994 & 15.7613443845006 \tabularnewline
48 & 90 & 88.0705195245185 & 1.92948047548147 \tabularnewline
49 & 80 & 82.9465758374784 & -2.9465758374784 \tabularnewline
50 & 31 & 116.401216613141 & -85.4012166131408 \tabularnewline
51 & 110 & 108.725569755707 & 1.27443024429323 \tabularnewline
52 & 66 & 73.6006953375798 & -7.60069533757983 \tabularnewline
53 & 138 & 122.461578705498 & 15.5384212945022 \tabularnewline
54 & 133 & 131.423060669851 & 1.57693933014928 \tabularnewline
55 & 113 & 102.972859402766 & 10.0271405972344 \tabularnewline
56 & 100 & 88.7454956586919 & 11.2545043413081 \tabularnewline
57 & 7 & 7.19379334380497 & -0.193793343804969 \tabularnewline
58 & 140 & 131.427265798288 & 8.5727342017116 \tabularnewline
59 & 61 & 50.5276360555495 & 10.4723639444505 \tabularnewline
60 & 41 & 40.8742158129003 & 0.125784187099738 \tabularnewline
61 & 96 & 92.6234836305635 & 3.37651636943649 \tabularnewline
62 & 164 & 144.640260191047 & 19.3597398089532 \tabularnewline
63 & 78 & 78.1749975597863 & -0.174997559786313 \tabularnewline
64 & 49 & 44.5827032125692 & 4.41729678743079 \tabularnewline
65 & 102 & 103.045435585296 & -1.04543558529615 \tabularnewline
66 & 124 & 116.889740098485 & 7.11025990151539 \tabularnewline
67 & 99 & 87.3706674506754 & 11.6293325493246 \tabularnewline
68 & 129 & 127.938846542265 & 1.06115345773543 \tabularnewline
69 & 62 & 89.2291300852098 & -27.2291300852098 \tabularnewline
70 & 73 & 106.363332751788 & -33.3633327517882 \tabularnewline
71 & 114 & 102.065679819746 & 11.9343201802537 \tabularnewline
72 & 99 & 94.7759268621262 & 4.22407313787383 \tabularnewline
73 & 70 & 77.3916825873578 & -7.3916825873578 \tabularnewline
74 & 104 & 91.8847540271281 & 12.1152459728719 \tabularnewline
75 & 116 & 112.749356853776 & 3.25064314622421 \tabularnewline
76 & 91 & 93.5143564763577 & -2.51435647635767 \tabularnewline
77 & 74 & 74.193298623055 & -0.193298623054963 \tabularnewline
78 & 138 & 121.339788763839 & 16.6602112361607 \tabularnewline
79 & 67 & 63.8290906452521 & 3.17090935474787 \tabularnewline
80 & 151 & 121.799698909323 & 29.2003010906767 \tabularnewline
81 & 72 & 90.4938309772353 & -18.4938309772353 \tabularnewline
82 & 120 & 105.761474085938 & 14.2385259140617 \tabularnewline
83 & 115 & 105.975692259068 & 9.02430774093247 \tabularnewline
84 & 105 & 93.4522195910172 & 11.5477804089828 \tabularnewline
85 & 104 & 123.298720060016 & -19.2987200600157 \tabularnewline
86 & 108 & 92.3447949016921 & 15.6552050983079 \tabularnewline
87 & 98 & 99.9559037066472 & -1.9559037066472 \tabularnewline
88 & 69 & 65.0701074851411 & 3.92989251485892 \tabularnewline
89 & 111 & 122.668834243171 & -11.6688342431707 \tabularnewline
90 & 99 & 75.635659253405 & 23.364340746595 \tabularnewline
91 & 71 & 112.412760447673 & -41.4127604476729 \tabularnewline
92 & 27 & 27.5629597954151 & -0.562959795415065 \tabularnewline
93 & 69 & 66.1648166268523 & 2.83518337314774 \tabularnewline
94 & 107 & 93.6884774618559 & 13.3115225381441 \tabularnewline
95 & 73 & 57.2858225146354 & 15.7141774853646 \tabularnewline
96 & 107 & 93.5765746253964 & 13.4234253746036 \tabularnewline
97 & 93 & 134.026358375767 & -41.0263583757666 \tabularnewline
98 & 129 & 123.866013492888 & 5.13398650711203 \tabularnewline
99 & 69 & 97.5869386493606 & -28.5869386493606 \tabularnewline
100 & 118 & 110.192692157364 & 7.80730784263619 \tabularnewline
101 & 73 & 75.6156258321074 & -2.61562583210737 \tabularnewline
102 & 119 & 97.6952140077817 & 21.3047859922183 \tabularnewline
103 & 104 & 97.4829798082867 & 6.51702019171331 \tabularnewline
104 & 107 & 94.2393090180532 & 12.7606909819468 \tabularnewline
105 & 99 & 99.2407274772224 & -0.240727477222391 \tabularnewline
106 & 90 & 113.05401186246 & -23.0540118624604 \tabularnewline
107 & 197 & 164.306637284585 & 32.6933627154146 \tabularnewline
108 & 36 & 59.0745190385469 & -23.0745190385469 \tabularnewline
109 & 85 & 97.135182295957 & -12.135182295957 \tabularnewline
110 & 139 & 130.051977882649 & 8.94802211735073 \tabularnewline
111 & 106 & 113.921654781688 & -7.9216547816877 \tabularnewline
112 & 50 & 94.6078383542907 & -44.6078383542907 \tabularnewline
113 & 64 & 56.1449157712828 & 7.85508422871725 \tabularnewline
114 & 31 & 60.7711710383548 & -29.7711710383548 \tabularnewline
115 & 63 & 104.060276386527 & -41.0602763865272 \tabularnewline
116 & 92 & 98.0810321846502 & -6.08103218465021 \tabularnewline
117 & 106 & 103.237999321931 & 2.76200067806913 \tabularnewline
118 & 63 & 55.2582936138162 & 7.7417063861838 \tabularnewline
119 & 69 & 87.5139836808277 & -18.5139836808277 \tabularnewline
120 & 41 & 49.9020002384218 & -8.90200023842178 \tabularnewline
121 & 56 & 60.2176433504211 & -4.21764335042108 \tabularnewline
122 & 25 & 32.7047394569489 & -7.70473945694888 \tabularnewline
123 & 65 & 51.1108037138532 & 13.8891962861468 \tabularnewline
124 & 93 & 101.182253017888 & -8.1822530178883 \tabularnewline
125 & 114 & 102.840100887758 & 11.1598991122424 \tabularnewline
126 & 38 & 27.1074983621124 & 10.8925016378876 \tabularnewline
127 & 44 & 38.990284290594 & 5.00971570940602 \tabularnewline
128 & 87 & 68.7636967165378 & 18.2363032834622 \tabularnewline
129 & 110 & 133.46712606752 & -23.4671260675202 \tabularnewline
130 & 0 & -1.93993303281126 & 1.93993303281126 \tabularnewline
131 & 27 & 22.1899727979862 & 4.81002720201377 \tabularnewline
132 & 83 & 99.2139489841458 & -16.2139489841458 \tabularnewline
133 & 30 & 30.4292340569708 & -0.429234056970758 \tabularnewline
134 & 80 & 71.9703310091355 & 8.02966899086446 \tabularnewline
135 & 98 & 106.16060460499 & -8.16060460499043 \tabularnewline
136 & 82 & 104.865497692334 & -22.8654976923337 \tabularnewline
137 & 0 & -5.02422078379557 & 5.02422078379557 \tabularnewline
138 & 60 & 79.4091403271415 & -19.4091403271415 \tabularnewline
139 & 28 & 38.126609755427 & -10.126609755427 \tabularnewline
140 & 9 & 21.0188539244889 & -12.0188539244889 \tabularnewline
141 & 33 & 33.8469793654435 & -0.846979365443475 \tabularnewline
142 & 59 & 61.4987287119033 & -2.49872871190327 \tabularnewline
143 & 49 & 48.4972246383568 & 0.502775361643153 \tabularnewline
144 & 115 & 104.071251441396 & 10.9287485586045 \tabularnewline
145 & 140 & 126.174445495394 & 13.8255545046061 \tabularnewline
146 & 49 & 61.890330058039 & -12.890330058039 \tabularnewline
147 & 120 & 116.205635325043 & 3.79436467495672 \tabularnewline
148 & 66 & 78.5720317782747 & -12.5720317782747 \tabularnewline
149 & 21 & 19.4698920448767 & 1.53010795512332 \tabularnewline
150 & 124 & 106.861120885688 & 17.1388791143117 \tabularnewline
151 & 152 & 135.291435636307 & 16.708564363693 \tabularnewline
152 & 139 & 134.106452454622 & 4.89354754537753 \tabularnewline
153 & 38 & 41.402654932964 & -3.40265493296397 \tabularnewline
154 & 144 & 131.838127009031 & 12.1618729909692 \tabularnewline
155 & 120 & 123.261204744014 & -3.26120474401409 \tabularnewline
156 & 160 & 160.995546357672 & -0.99554635767165 \tabularnewline
157 & 114 & 95.1962349579119 & 18.8037650420881 \tabularnewline
158 & 39 & 36.8211931852592 & 2.17880681474079 \tabularnewline
159 & 78 & 83.0177439501528 & -5.01774395015279 \tabularnewline
160 & 119 & 102.995434898355 & 16.0045651016449 \tabularnewline
161 & 141 & 132.933730394859 & 8.0662696051409 \tabularnewline
162 & 101 & 94.125553540057 & 6.8744464599431 \tabularnewline
163 & 56 & 51.2259067190463 & 4.77409328095375 \tabularnewline
164 & 133 & 124.843990439535 & 8.15600956046535 \tabularnewline
165 & 83 & 90.1940296312005 & -7.19402963120046 \tabularnewline
166 & 116 & 109.189537852902 & 6.81046214709829 \tabularnewline
167 & 90 & 98.3508634755947 & -8.35086347559474 \tabularnewline
168 & 36 & 85.173528384989 & -49.173528384989 \tabularnewline
169 & 50 & 59.2922316386302 & -9.29223163863016 \tabularnewline
170 & 61 & 59.8021101435661 & 1.19788985643388 \tabularnewline
171 & 97 & 101.307073832927 & -4.30707383292664 \tabularnewline
172 & 98 & 106.025848079137 & -8.02584807913683 \tabularnewline
173 & 78 & 60.2158353358271 & 17.7841646641729 \tabularnewline
174 & 117 & 125.955139271028 & -8.95513927102786 \tabularnewline
175 & 148 & 130.962775489632 & 17.0372245103675 \tabularnewline
176 & 41 & 37.0242788321476 & 3.97572116785245 \tabularnewline
177 & 105 & 109.391667608274 & -4.39166760827373 \tabularnewline
178 & 55 & 49.4125905735354 & 5.58740942646457 \tabularnewline
179 & 132 & 130.712929051013 & 1.28707094898683 \tabularnewline
180 & 44 & 39.0022820710419 & 4.99771792895806 \tabularnewline
181 & 21 & 21.6804148197239 & -0.680414819723934 \tabularnewline
182 & 50 & 49.9964815791669 & 0.00351842083306046 \tabularnewline
183 & 0 & -4.43638135800522 & 4.43638135800522 \tabularnewline
184 & 73 & 93.2991565092084 & -20.2991565092084 \tabularnewline
185 & 86 & 115.270019524626 & -29.2700195246256 \tabularnewline
186 & 0 & -5.05069694104802 & 5.05069694104802 \tabularnewline
187 & 13 & 10.2579158299508 & 2.74208417004915 \tabularnewline
188 & 4 & -2.10092720043051 & 6.10092720043051 \tabularnewline
189 & 57 & 47.1216326467316 & 9.87836735326841 \tabularnewline
190 & 48 & 90.6259545595489 & -42.6259545595489 \tabularnewline
191 & 46 & 75.0969507417513 & -29.0969507417513 \tabularnewline
192 & 48 & 47.1423664834793 & 0.857633516520693 \tabularnewline
193 & 32 & 31.0099865092977 & 0.990013490702288 \tabularnewline
194 & 68 & 68.287113450668 & -0.287113450668032 \tabularnewline
195 & 87 & 69.1231322493795 & 17.8768677506205 \tabularnewline
196 & 43 & 37.3315538819201 & 5.66844611807991 \tabularnewline
197 & 67 & 52.5898446368786 & 14.4101553631214 \tabularnewline
198 & 46 & 42.9563668143565 & 3.04363318564351 \tabularnewline
199 & 46 & 53.3293608643961 & -7.3293608643961 \tabularnewline
200 & 56 & 47.3297502877075 & 8.67024971229245 \tabularnewline
201 & 48 & 46.2643330557885 & 1.73566694421152 \tabularnewline
202 & 44 & 64.8379638346524 & -20.8379638346524 \tabularnewline
203 & 60 & 44.1790285772311 & 15.8209714227689 \tabularnewline
204 & 65 & 50.5819021731201 & 14.4180978268799 \tabularnewline
205 & 55 & 50.7975774769059 & 4.20242252309406 \tabularnewline
206 & 38 & 54.0917605937766 & -16.0917605937766 \tabularnewline
207 & 52 & 44.498577720951 & 7.50142227904903 \tabularnewline
208 & 60 & 48.0499602133354 & 11.9500397866646 \tabularnewline
209 & 54 & 52.0531041469957 & 1.94689585300426 \tabularnewline
210 & 86 & 61.9803782109374 & 24.0196217890626 \tabularnewline
211 & 24 & 21.5602431311309 & 2.43975686886906 \tabularnewline
212 & 52 & 48.9502735793096 & 3.04972642069038 \tabularnewline
213 & 49 & 49.5750991310078 & -0.575099131007843 \tabularnewline
214 & 61 & 44.9991798608128 & 16.0008201391872 \tabularnewline
215 & 61 & 65.9276217940857 & -4.92762179408565 \tabularnewline
216 & 81 & 59.2327524278423 & 21.7672475721577 \tabularnewline
217 & 43 & 36.0146910696093 & 6.98530893039066 \tabularnewline
218 & 40 & 37.8757282574706 & 2.12427174252943 \tabularnewline
219 & 40 & 43.5368648639481 & -3.53686486394807 \tabularnewline
220 & 56 & 42.487136051922 & 13.512863948078 \tabularnewline
221 & 68 & 56.8554314067678 & 11.1445685932322 \tabularnewline
222 & 79 & 67.5864399668019 & 11.4135600331981 \tabularnewline
223 & 47 & 50.003022627693 & -3.003022627693 \tabularnewline
224 & 57 & 51.327933288058 & 5.67206671194199 \tabularnewline
225 & 41 & 43.2475566484597 & -2.24755664845967 \tabularnewline
226 & 29 & 35.6801958686752 & -6.68019586867517 \tabularnewline
227 & 3 & 20.9270750648857 & -17.9270750648857 \tabularnewline
228 & 60 & 51.9633756839472 & 8.03662431605277 \tabularnewline
229 & 30 & 38.7052294075374 & -8.70522940753736 \tabularnewline
230 & 79 & 69.5872049498428 & 9.41279505015716 \tabularnewline
231 & 47 & 43.1269962388988 & 3.87300376110115 \tabularnewline
232 & 40 & 39.9818456475652 & 0.0181543524347811 \tabularnewline
233 & 48 & 46.611460960748 & 1.38853903925198 \tabularnewline
234 & 36 & 46.1652844507461 & -10.1652844507461 \tabularnewline
235 & 42 & 61.805452495709 & -19.805452495709 \tabularnewline
236 & 49 & 50.903580861209 & -1.90358086120903 \tabularnewline
237 & 57 & 51.3944850019544 & 5.6055149980456 \tabularnewline
238 & 12 & 45.7280796344745 & -33.7280796344745 \tabularnewline
239 & 40 & 46.8054849548031 & -6.80548495480312 \tabularnewline
240 & 43 & 43.7924061852621 & -0.792406185262063 \tabularnewline
241 & 33 & 43.6392125061066 & -10.6392125061066 \tabularnewline
242 & 77 & 66.7971534738645 & 10.2028465261355 \tabularnewline
243 & 43 & 44.1744016041571 & -1.17440160415712 \tabularnewline
244 & 45 & 39.4595849626374 & 5.54041503736264 \tabularnewline
245 & 47 & 43.1030457381406 & 3.89695426185939 \tabularnewline
246 & 43 & 50.1215665739161 & -7.1215665739161 \tabularnewline
247 & 45 & 46.1689415398706 & -1.16894153987061 \tabularnewline
248 & 50 & 41.9866761472851 & 8.01332385271491 \tabularnewline
249 & 35 & 29.7040269849643 & 5.29597301503572 \tabularnewline
250 & 7 & 17.9515220344636 & -10.9515220344636 \tabularnewline
251 & 71 & 65.6186949501083 & 5.3813050498917 \tabularnewline
252 & 67 & 62.6348567114478 & 4.36514328855225 \tabularnewline
253 & 0 & -1.41600269892932 & 1.41600269892932 \tabularnewline
254 & 62 & 51.1105627905993 & 10.8894372094007 \tabularnewline
255 & 54 & 46.6515953451981 & 7.34840465480187 \tabularnewline
256 & 4 & 6.67607252844229 & -2.67607252844229 \tabularnewline
257 & 25 & 27.2618465255971 & -2.26184652559707 \tabularnewline
258 & 40 & 44.7395077183483 & -4.73950771834832 \tabularnewline
259 & 38 & 42.5176387438058 & -4.51763874380582 \tabularnewline
260 & 19 & 22.6317823381338 & -3.63178233813379 \tabularnewline
261 & 17 & 40.5216762260683 & -23.5216762260683 \tabularnewline
262 & 67 & 47.7610055638837 & 19.2389944361163 \tabularnewline
263 & 14 & 15.1576023568974 & -1.15760235689745 \tabularnewline
264 & 30 & 41.1716816286018 & -11.1716816286018 \tabularnewline
265 & 54 & 40.7504367039085 & 13.2495632960915 \tabularnewline
266 & 35 & 39.3169714125936 & -4.3169714125936 \tabularnewline
267 & 59 & 51.0037995744141 & 7.99620042558585 \tabularnewline
268 & 24 & 34.8564057177658 & -10.8564057177658 \tabularnewline
269 & 58 & 44.8611332040821 & 13.1388667959179 \tabularnewline
270 & 42 & 63.3127461123888 & -21.3127461123888 \tabularnewline
271 & 46 & 54.7305697875654 & -8.73056978756537 \tabularnewline
272 & 61 & 44.6682399912407 & 16.3317600087593 \tabularnewline
273 & 3 & -2.05733118395801 & 5.05733118395801 \tabularnewline
274 & 52 & 46.2255230551674 & 5.77447694483255 \tabularnewline
275 & 25 & 26.8380542838374 & -1.8380542838374 \tabularnewline
276 & 40 & 52.3636496306374 & -12.3636496306374 \tabularnewline
277 & 32 & 32.9125505562455 & -0.912550556245477 \tabularnewline
278 & 4 & 1.44900736549572 & 2.55099263450428 \tabularnewline
279 & 49 & 39.3764402493701 & 9.6235597506299 \tabularnewline
280 & 63 & 46.8443000731973 & 16.1556999268027 \tabularnewline
281 & 67 & 52.9811612430217 & 14.0188387569783 \tabularnewline
282 & 32 & 46.0021232965361 & -14.0021232965361 \tabularnewline
283 & 23 & 31.7055686203235 & -8.70556862032345 \tabularnewline
284 & 7 & 6.91047596254591 & 0.089524037454091 \tabularnewline
285 & 54 & 43.0141504855988 & 10.9858495144012 \tabularnewline
286 & 37 & 56.9499027064908 & -19.9499027064908 \tabularnewline
287 & 35 & 30.3040195877973 & 4.69598041220266 \tabularnewline
288 & 51 & 44.8694930768125 & 6.13050692318754 \tabularnewline
289 & 39 & 43.1758943812872 & -4.17589438128717 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160037&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]94[/C][C]101.642390088433[/C][C]-7.6423900884326[/C][/ROW]
[ROW][C]2[/C][C]103[/C][C]90.243552868341[/C][C]12.756447131659[/C][/ROW]
[ROW][C]3[/C][C]93[/C][C]117.94591485175[/C][C]-24.9459148517502[/C][/ROW]
[ROW][C]4[/C][C]103[/C][C]100.245506785948[/C][C]2.75449321405235[/C][/ROW]
[ROW][C]5[/C][C]51[/C][C]64.9948754529597[/C][C]-13.9948754529597[/C][/ROW]
[ROW][C]6[/C][C]70[/C][C]78.660326547256[/C][C]-8.66032654725595[/C][/ROW]
[ROW][C]7[/C][C]91[/C][C]89.1720181840178[/C][C]1.82798181598216[/C][/ROW]
[ROW][C]8[/C][C]22[/C][C]48.4806913799971[/C][C]-26.4806913799971[/C][/ROW]
[ROW][C]9[/C][C]38[/C][C]30.1960786832128[/C][C]7.80392131678723[/C][/ROW]
[ROW][C]10[/C][C]93[/C][C]87.5208020791603[/C][C]5.47919792083969[/C][/ROW]
[ROW][C]11[/C][C]60[/C][C]76.7241861325482[/C][C]-16.7241861325482[/C][/ROW]
[ROW][C]12[/C][C]123[/C][C]117.890364424057[/C][C]5.10963557594267[/C][/ROW]
[ROW][C]13[/C][C]148[/C][C]133.035645785555[/C][C]14.9643542144446[/C][/ROW]
[ROW][C]14[/C][C]90[/C][C]90.2866532210457[/C][C]-0.286653221045731[/C][/ROW]
[ROW][C]15[/C][C]124[/C][C]125.040667235772[/C][C]-1.04066723577188[/C][/ROW]
[ROW][C]16[/C][C]70[/C][C]102.485840775702[/C][C]-32.4858407757022[/C][/ROW]
[ROW][C]17[/C][C]168[/C][C]148.992742747352[/C][C]19.0072572526478[/C][/ROW]
[ROW][C]18[/C][C]115[/C][C]104.595129531074[/C][C]10.4048704689258[/C][/ROW]
[ROW][C]19[/C][C]71[/C][C]101.620658921734[/C][C]-30.6206589217337[/C][/ROW]
[ROW][C]20[/C][C]66[/C][C]79.3659371041558[/C][C]-13.3659371041558[/C][/ROW]
[ROW][C]21[/C][C]134[/C][C]118.473259328966[/C][C]15.526740671034[/C][/ROW]
[ROW][C]22[/C][C]117[/C][C]115.779804886349[/C][C]1.22019511365107[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]94.9389994144473[/C][C]13.0610005855527[/C][/ROW]
[ROW][C]24[/C][C]84[/C][C]77.2775612794812[/C][C]6.72243872051877[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]122.767110599461[/C][C]33.2328894005394[/C][/ROW]
[ROW][C]26[/C][C]120[/C][C]106.776815111612[/C][C]13.2231848883881[/C][/ROW]
[ROW][C]27[/C][C]114[/C][C]98.7217045101874[/C][C]15.2782954898126[/C][/ROW]
[ROW][C]28[/C][C]94[/C][C]100.479960434279[/C][C]-6.4799604342789[/C][/ROW]
[ROW][C]29[/C][C]120[/C][C]103.458778037005[/C][C]16.5412219629954[/C][/ROW]
[ROW][C]30[/C][C]81[/C][C]72.0403771866939[/C][C]8.9596228133061[/C][/ROW]
[ROW][C]31[/C][C]110[/C][C]103.746819524663[/C][C]6.25318047533681[/C][/ROW]
[ROW][C]32[/C][C]133[/C][C]114.961308222981[/C][C]18.0386917770189[/C][/ROW]
[ROW][C]33[/C][C]122[/C][C]129.470245074541[/C][C]-7.47024507454106[/C][/ROW]
[ROW][C]34[/C][C]158[/C][C]134.727898723579[/C][C]23.2721012764206[/C][/ROW]
[ROW][C]35[/C][C]109[/C][C]88.5747951652775[/C][C]20.4252048347224[/C][/ROW]
[ROW][C]36[/C][C]124[/C][C]110.003087903908[/C][C]13.9969120960916[/C][/ROW]
[ROW][C]37[/C][C]39[/C][C]36.7529697106071[/C][C]2.24703028939291[/C][/ROW]
[ROW][C]38[/C][C]92[/C][C]95.6718815703629[/C][C]-3.6718815703629[/C][/ROW]
[ROW][C]39[/C][C]126[/C][C]112.456655417178[/C][C]13.543344582822[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-5.13543346475578[/C][C]5.13543346475578[/C][/ROW]
[ROW][C]41[/C][C]70[/C][C]85.7738275662093[/C][C]-15.7738275662093[/C][/ROW]
[ROW][C]42[/C][C]37[/C][C]40.3912144745082[/C][C]-3.39121447450818[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]49.057859785017[/C][C]-11.057859785017[/C][/ROW]
[ROW][C]44[/C][C]120[/C][C]104.129761393884[/C][C]15.8702386061164[/C][/ROW]
[ROW][C]45[/C][C]93[/C][C]94.4199667058578[/C][C]-1.4199667058578[/C][/ROW]
[ROW][C]46[/C][C]95[/C][C]105.693012213287[/C][C]-10.6930122132867[/C][/ROW]
[ROW][C]47[/C][C]77[/C][C]61.2386556154994[/C][C]15.7613443845006[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]88.0705195245185[/C][C]1.92948047548147[/C][/ROW]
[ROW][C]49[/C][C]80[/C][C]82.9465758374784[/C][C]-2.9465758374784[/C][/ROW]
[ROW][C]50[/C][C]31[/C][C]116.401216613141[/C][C]-85.4012166131408[/C][/ROW]
[ROW][C]51[/C][C]110[/C][C]108.725569755707[/C][C]1.27443024429323[/C][/ROW]
[ROW][C]52[/C][C]66[/C][C]73.6006953375798[/C][C]-7.60069533757983[/C][/ROW]
[ROW][C]53[/C][C]138[/C][C]122.461578705498[/C][C]15.5384212945022[/C][/ROW]
[ROW][C]54[/C][C]133[/C][C]131.423060669851[/C][C]1.57693933014928[/C][/ROW]
[ROW][C]55[/C][C]113[/C][C]102.972859402766[/C][C]10.0271405972344[/C][/ROW]
[ROW][C]56[/C][C]100[/C][C]88.7454956586919[/C][C]11.2545043413081[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]7.19379334380497[/C][C]-0.193793343804969[/C][/ROW]
[ROW][C]58[/C][C]140[/C][C]131.427265798288[/C][C]8.5727342017116[/C][/ROW]
[ROW][C]59[/C][C]61[/C][C]50.5276360555495[/C][C]10.4723639444505[/C][/ROW]
[ROW][C]60[/C][C]41[/C][C]40.8742158129003[/C][C]0.125784187099738[/C][/ROW]
[ROW][C]61[/C][C]96[/C][C]92.6234836305635[/C][C]3.37651636943649[/C][/ROW]
[ROW][C]62[/C][C]164[/C][C]144.640260191047[/C][C]19.3597398089532[/C][/ROW]
[ROW][C]63[/C][C]78[/C][C]78.1749975597863[/C][C]-0.174997559786313[/C][/ROW]
[ROW][C]64[/C][C]49[/C][C]44.5827032125692[/C][C]4.41729678743079[/C][/ROW]
[ROW][C]65[/C][C]102[/C][C]103.045435585296[/C][C]-1.04543558529615[/C][/ROW]
[ROW][C]66[/C][C]124[/C][C]116.889740098485[/C][C]7.11025990151539[/C][/ROW]
[ROW][C]67[/C][C]99[/C][C]87.3706674506754[/C][C]11.6293325493246[/C][/ROW]
[ROW][C]68[/C][C]129[/C][C]127.938846542265[/C][C]1.06115345773543[/C][/ROW]
[ROW][C]69[/C][C]62[/C][C]89.2291300852098[/C][C]-27.2291300852098[/C][/ROW]
[ROW][C]70[/C][C]73[/C][C]106.363332751788[/C][C]-33.3633327517882[/C][/ROW]
[ROW][C]71[/C][C]114[/C][C]102.065679819746[/C][C]11.9343201802537[/C][/ROW]
[ROW][C]72[/C][C]99[/C][C]94.7759268621262[/C][C]4.22407313787383[/C][/ROW]
[ROW][C]73[/C][C]70[/C][C]77.3916825873578[/C][C]-7.3916825873578[/C][/ROW]
[ROW][C]74[/C][C]104[/C][C]91.8847540271281[/C][C]12.1152459728719[/C][/ROW]
[ROW][C]75[/C][C]116[/C][C]112.749356853776[/C][C]3.25064314622421[/C][/ROW]
[ROW][C]76[/C][C]91[/C][C]93.5143564763577[/C][C]-2.51435647635767[/C][/ROW]
[ROW][C]77[/C][C]74[/C][C]74.193298623055[/C][C]-0.193298623054963[/C][/ROW]
[ROW][C]78[/C][C]138[/C][C]121.339788763839[/C][C]16.6602112361607[/C][/ROW]
[ROW][C]79[/C][C]67[/C][C]63.8290906452521[/C][C]3.17090935474787[/C][/ROW]
[ROW][C]80[/C][C]151[/C][C]121.799698909323[/C][C]29.2003010906767[/C][/ROW]
[ROW][C]81[/C][C]72[/C][C]90.4938309772353[/C][C]-18.4938309772353[/C][/ROW]
[ROW][C]82[/C][C]120[/C][C]105.761474085938[/C][C]14.2385259140617[/C][/ROW]
[ROW][C]83[/C][C]115[/C][C]105.975692259068[/C][C]9.02430774093247[/C][/ROW]
[ROW][C]84[/C][C]105[/C][C]93.4522195910172[/C][C]11.5477804089828[/C][/ROW]
[ROW][C]85[/C][C]104[/C][C]123.298720060016[/C][C]-19.2987200600157[/C][/ROW]
[ROW][C]86[/C][C]108[/C][C]92.3447949016921[/C][C]15.6552050983079[/C][/ROW]
[ROW][C]87[/C][C]98[/C][C]99.9559037066472[/C][C]-1.9559037066472[/C][/ROW]
[ROW][C]88[/C][C]69[/C][C]65.0701074851411[/C][C]3.92989251485892[/C][/ROW]
[ROW][C]89[/C][C]111[/C][C]122.668834243171[/C][C]-11.6688342431707[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]75.635659253405[/C][C]23.364340746595[/C][/ROW]
[ROW][C]91[/C][C]71[/C][C]112.412760447673[/C][C]-41.4127604476729[/C][/ROW]
[ROW][C]92[/C][C]27[/C][C]27.5629597954151[/C][C]-0.562959795415065[/C][/ROW]
[ROW][C]93[/C][C]69[/C][C]66.1648166268523[/C][C]2.83518337314774[/C][/ROW]
[ROW][C]94[/C][C]107[/C][C]93.6884774618559[/C][C]13.3115225381441[/C][/ROW]
[ROW][C]95[/C][C]73[/C][C]57.2858225146354[/C][C]15.7141774853646[/C][/ROW]
[ROW][C]96[/C][C]107[/C][C]93.5765746253964[/C][C]13.4234253746036[/C][/ROW]
[ROW][C]97[/C][C]93[/C][C]134.026358375767[/C][C]-41.0263583757666[/C][/ROW]
[ROW][C]98[/C][C]129[/C][C]123.866013492888[/C][C]5.13398650711203[/C][/ROW]
[ROW][C]99[/C][C]69[/C][C]97.5869386493606[/C][C]-28.5869386493606[/C][/ROW]
[ROW][C]100[/C][C]118[/C][C]110.192692157364[/C][C]7.80730784263619[/C][/ROW]
[ROW][C]101[/C][C]73[/C][C]75.6156258321074[/C][C]-2.61562583210737[/C][/ROW]
[ROW][C]102[/C][C]119[/C][C]97.6952140077817[/C][C]21.3047859922183[/C][/ROW]
[ROW][C]103[/C][C]104[/C][C]97.4829798082867[/C][C]6.51702019171331[/C][/ROW]
[ROW][C]104[/C][C]107[/C][C]94.2393090180532[/C][C]12.7606909819468[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]99.2407274772224[/C][C]-0.240727477222391[/C][/ROW]
[ROW][C]106[/C][C]90[/C][C]113.05401186246[/C][C]-23.0540118624604[/C][/ROW]
[ROW][C]107[/C][C]197[/C][C]164.306637284585[/C][C]32.6933627154146[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]59.0745190385469[/C][C]-23.0745190385469[/C][/ROW]
[ROW][C]109[/C][C]85[/C][C]97.135182295957[/C][C]-12.135182295957[/C][/ROW]
[ROW][C]110[/C][C]139[/C][C]130.051977882649[/C][C]8.94802211735073[/C][/ROW]
[ROW][C]111[/C][C]106[/C][C]113.921654781688[/C][C]-7.9216547816877[/C][/ROW]
[ROW][C]112[/C][C]50[/C][C]94.6078383542907[/C][C]-44.6078383542907[/C][/ROW]
[ROW][C]113[/C][C]64[/C][C]56.1449157712828[/C][C]7.85508422871725[/C][/ROW]
[ROW][C]114[/C][C]31[/C][C]60.7711710383548[/C][C]-29.7711710383548[/C][/ROW]
[ROW][C]115[/C][C]63[/C][C]104.060276386527[/C][C]-41.0602763865272[/C][/ROW]
[ROW][C]116[/C][C]92[/C][C]98.0810321846502[/C][C]-6.08103218465021[/C][/ROW]
[ROW][C]117[/C][C]106[/C][C]103.237999321931[/C][C]2.76200067806913[/C][/ROW]
[ROW][C]118[/C][C]63[/C][C]55.2582936138162[/C][C]7.7417063861838[/C][/ROW]
[ROW][C]119[/C][C]69[/C][C]87.5139836808277[/C][C]-18.5139836808277[/C][/ROW]
[ROW][C]120[/C][C]41[/C][C]49.9020002384218[/C][C]-8.90200023842178[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]60.2176433504211[/C][C]-4.21764335042108[/C][/ROW]
[ROW][C]122[/C][C]25[/C][C]32.7047394569489[/C][C]-7.70473945694888[/C][/ROW]
[ROW][C]123[/C][C]65[/C][C]51.1108037138532[/C][C]13.8891962861468[/C][/ROW]
[ROW][C]124[/C][C]93[/C][C]101.182253017888[/C][C]-8.1822530178883[/C][/ROW]
[ROW][C]125[/C][C]114[/C][C]102.840100887758[/C][C]11.1598991122424[/C][/ROW]
[ROW][C]126[/C][C]38[/C][C]27.1074983621124[/C][C]10.8925016378876[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]38.990284290594[/C][C]5.00971570940602[/C][/ROW]
[ROW][C]128[/C][C]87[/C][C]68.7636967165378[/C][C]18.2363032834622[/C][/ROW]
[ROW][C]129[/C][C]110[/C][C]133.46712606752[/C][C]-23.4671260675202[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]-1.93993303281126[/C][C]1.93993303281126[/C][/ROW]
[ROW][C]131[/C][C]27[/C][C]22.1899727979862[/C][C]4.81002720201377[/C][/ROW]
[ROW][C]132[/C][C]83[/C][C]99.2139489841458[/C][C]-16.2139489841458[/C][/ROW]
[ROW][C]133[/C][C]30[/C][C]30.4292340569708[/C][C]-0.429234056970758[/C][/ROW]
[ROW][C]134[/C][C]80[/C][C]71.9703310091355[/C][C]8.02966899086446[/C][/ROW]
[ROW][C]135[/C][C]98[/C][C]106.16060460499[/C][C]-8.16060460499043[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]104.865497692334[/C][C]-22.8654976923337[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]-5.02422078379557[/C][C]5.02422078379557[/C][/ROW]
[ROW][C]138[/C][C]60[/C][C]79.4091403271415[/C][C]-19.4091403271415[/C][/ROW]
[ROW][C]139[/C][C]28[/C][C]38.126609755427[/C][C]-10.126609755427[/C][/ROW]
[ROW][C]140[/C][C]9[/C][C]21.0188539244889[/C][C]-12.0188539244889[/C][/ROW]
[ROW][C]141[/C][C]33[/C][C]33.8469793654435[/C][C]-0.846979365443475[/C][/ROW]
[ROW][C]142[/C][C]59[/C][C]61.4987287119033[/C][C]-2.49872871190327[/C][/ROW]
[ROW][C]143[/C][C]49[/C][C]48.4972246383568[/C][C]0.502775361643153[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]104.071251441396[/C][C]10.9287485586045[/C][/ROW]
[ROW][C]145[/C][C]140[/C][C]126.174445495394[/C][C]13.8255545046061[/C][/ROW]
[ROW][C]146[/C][C]49[/C][C]61.890330058039[/C][C]-12.890330058039[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]116.205635325043[/C][C]3.79436467495672[/C][/ROW]
[ROW][C]148[/C][C]66[/C][C]78.5720317782747[/C][C]-12.5720317782747[/C][/ROW]
[ROW][C]149[/C][C]21[/C][C]19.4698920448767[/C][C]1.53010795512332[/C][/ROW]
[ROW][C]150[/C][C]124[/C][C]106.861120885688[/C][C]17.1388791143117[/C][/ROW]
[ROW][C]151[/C][C]152[/C][C]135.291435636307[/C][C]16.708564363693[/C][/ROW]
[ROW][C]152[/C][C]139[/C][C]134.106452454622[/C][C]4.89354754537753[/C][/ROW]
[ROW][C]153[/C][C]38[/C][C]41.402654932964[/C][C]-3.40265493296397[/C][/ROW]
[ROW][C]154[/C][C]144[/C][C]131.838127009031[/C][C]12.1618729909692[/C][/ROW]
[ROW][C]155[/C][C]120[/C][C]123.261204744014[/C][C]-3.26120474401409[/C][/ROW]
[ROW][C]156[/C][C]160[/C][C]160.995546357672[/C][C]-0.99554635767165[/C][/ROW]
[ROW][C]157[/C][C]114[/C][C]95.1962349579119[/C][C]18.8037650420881[/C][/ROW]
[ROW][C]158[/C][C]39[/C][C]36.8211931852592[/C][C]2.17880681474079[/C][/ROW]
[ROW][C]159[/C][C]78[/C][C]83.0177439501528[/C][C]-5.01774395015279[/C][/ROW]
[ROW][C]160[/C][C]119[/C][C]102.995434898355[/C][C]16.0045651016449[/C][/ROW]
[ROW][C]161[/C][C]141[/C][C]132.933730394859[/C][C]8.0662696051409[/C][/ROW]
[ROW][C]162[/C][C]101[/C][C]94.125553540057[/C][C]6.8744464599431[/C][/ROW]
[ROW][C]163[/C][C]56[/C][C]51.2259067190463[/C][C]4.77409328095375[/C][/ROW]
[ROW][C]164[/C][C]133[/C][C]124.843990439535[/C][C]8.15600956046535[/C][/ROW]
[ROW][C]165[/C][C]83[/C][C]90.1940296312005[/C][C]-7.19402963120046[/C][/ROW]
[ROW][C]166[/C][C]116[/C][C]109.189537852902[/C][C]6.81046214709829[/C][/ROW]
[ROW][C]167[/C][C]90[/C][C]98.3508634755947[/C][C]-8.35086347559474[/C][/ROW]
[ROW][C]168[/C][C]36[/C][C]85.173528384989[/C][C]-49.173528384989[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]59.2922316386302[/C][C]-9.29223163863016[/C][/ROW]
[ROW][C]170[/C][C]61[/C][C]59.8021101435661[/C][C]1.19788985643388[/C][/ROW]
[ROW][C]171[/C][C]97[/C][C]101.307073832927[/C][C]-4.30707383292664[/C][/ROW]
[ROW][C]172[/C][C]98[/C][C]106.025848079137[/C][C]-8.02584807913683[/C][/ROW]
[ROW][C]173[/C][C]78[/C][C]60.2158353358271[/C][C]17.7841646641729[/C][/ROW]
[ROW][C]174[/C][C]117[/C][C]125.955139271028[/C][C]-8.95513927102786[/C][/ROW]
[ROW][C]175[/C][C]148[/C][C]130.962775489632[/C][C]17.0372245103675[/C][/ROW]
[ROW][C]176[/C][C]41[/C][C]37.0242788321476[/C][C]3.97572116785245[/C][/ROW]
[ROW][C]177[/C][C]105[/C][C]109.391667608274[/C][C]-4.39166760827373[/C][/ROW]
[ROW][C]178[/C][C]55[/C][C]49.4125905735354[/C][C]5.58740942646457[/C][/ROW]
[ROW][C]179[/C][C]132[/C][C]130.712929051013[/C][C]1.28707094898683[/C][/ROW]
[ROW][C]180[/C][C]44[/C][C]39.0022820710419[/C][C]4.99771792895806[/C][/ROW]
[ROW][C]181[/C][C]21[/C][C]21.6804148197239[/C][C]-0.680414819723934[/C][/ROW]
[ROW][C]182[/C][C]50[/C][C]49.9964815791669[/C][C]0.00351842083306046[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]-4.43638135800522[/C][C]4.43638135800522[/C][/ROW]
[ROW][C]184[/C][C]73[/C][C]93.2991565092084[/C][C]-20.2991565092084[/C][/ROW]
[ROW][C]185[/C][C]86[/C][C]115.270019524626[/C][C]-29.2700195246256[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]-5.05069694104802[/C][C]5.05069694104802[/C][/ROW]
[ROW][C]187[/C][C]13[/C][C]10.2579158299508[/C][C]2.74208417004915[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]-2.10092720043051[/C][C]6.10092720043051[/C][/ROW]
[ROW][C]189[/C][C]57[/C][C]47.1216326467316[/C][C]9.87836735326841[/C][/ROW]
[ROW][C]190[/C][C]48[/C][C]90.6259545595489[/C][C]-42.6259545595489[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]75.0969507417513[/C][C]-29.0969507417513[/C][/ROW]
[ROW][C]192[/C][C]48[/C][C]47.1423664834793[/C][C]0.857633516520693[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]31.0099865092977[/C][C]0.990013490702288[/C][/ROW]
[ROW][C]194[/C][C]68[/C][C]68.287113450668[/C][C]-0.287113450668032[/C][/ROW]
[ROW][C]195[/C][C]87[/C][C]69.1231322493795[/C][C]17.8768677506205[/C][/ROW]
[ROW][C]196[/C][C]43[/C][C]37.3315538819201[/C][C]5.66844611807991[/C][/ROW]
[ROW][C]197[/C][C]67[/C][C]52.5898446368786[/C][C]14.4101553631214[/C][/ROW]
[ROW][C]198[/C][C]46[/C][C]42.9563668143565[/C][C]3.04363318564351[/C][/ROW]
[ROW][C]199[/C][C]46[/C][C]53.3293608643961[/C][C]-7.3293608643961[/C][/ROW]
[ROW][C]200[/C][C]56[/C][C]47.3297502877075[/C][C]8.67024971229245[/C][/ROW]
[ROW][C]201[/C][C]48[/C][C]46.2643330557885[/C][C]1.73566694421152[/C][/ROW]
[ROW][C]202[/C][C]44[/C][C]64.8379638346524[/C][C]-20.8379638346524[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]44.1790285772311[/C][C]15.8209714227689[/C][/ROW]
[ROW][C]204[/C][C]65[/C][C]50.5819021731201[/C][C]14.4180978268799[/C][/ROW]
[ROW][C]205[/C][C]55[/C][C]50.7975774769059[/C][C]4.20242252309406[/C][/ROW]
[ROW][C]206[/C][C]38[/C][C]54.0917605937766[/C][C]-16.0917605937766[/C][/ROW]
[ROW][C]207[/C][C]52[/C][C]44.498577720951[/C][C]7.50142227904903[/C][/ROW]
[ROW][C]208[/C][C]60[/C][C]48.0499602133354[/C][C]11.9500397866646[/C][/ROW]
[ROW][C]209[/C][C]54[/C][C]52.0531041469957[/C][C]1.94689585300426[/C][/ROW]
[ROW][C]210[/C][C]86[/C][C]61.9803782109374[/C][C]24.0196217890626[/C][/ROW]
[ROW][C]211[/C][C]24[/C][C]21.5602431311309[/C][C]2.43975686886906[/C][/ROW]
[ROW][C]212[/C][C]52[/C][C]48.9502735793096[/C][C]3.04972642069038[/C][/ROW]
[ROW][C]213[/C][C]49[/C][C]49.5750991310078[/C][C]-0.575099131007843[/C][/ROW]
[ROW][C]214[/C][C]61[/C][C]44.9991798608128[/C][C]16.0008201391872[/C][/ROW]
[ROW][C]215[/C][C]61[/C][C]65.9276217940857[/C][C]-4.92762179408565[/C][/ROW]
[ROW][C]216[/C][C]81[/C][C]59.2327524278423[/C][C]21.7672475721577[/C][/ROW]
[ROW][C]217[/C][C]43[/C][C]36.0146910696093[/C][C]6.98530893039066[/C][/ROW]
[ROW][C]218[/C][C]40[/C][C]37.8757282574706[/C][C]2.12427174252943[/C][/ROW]
[ROW][C]219[/C][C]40[/C][C]43.5368648639481[/C][C]-3.53686486394807[/C][/ROW]
[ROW][C]220[/C][C]56[/C][C]42.487136051922[/C][C]13.512863948078[/C][/ROW]
[ROW][C]221[/C][C]68[/C][C]56.8554314067678[/C][C]11.1445685932322[/C][/ROW]
[ROW][C]222[/C][C]79[/C][C]67.5864399668019[/C][C]11.4135600331981[/C][/ROW]
[ROW][C]223[/C][C]47[/C][C]50.003022627693[/C][C]-3.003022627693[/C][/ROW]
[ROW][C]224[/C][C]57[/C][C]51.327933288058[/C][C]5.67206671194199[/C][/ROW]
[ROW][C]225[/C][C]41[/C][C]43.2475566484597[/C][C]-2.24755664845967[/C][/ROW]
[ROW][C]226[/C][C]29[/C][C]35.6801958686752[/C][C]-6.68019586867517[/C][/ROW]
[ROW][C]227[/C][C]3[/C][C]20.9270750648857[/C][C]-17.9270750648857[/C][/ROW]
[ROW][C]228[/C][C]60[/C][C]51.9633756839472[/C][C]8.03662431605277[/C][/ROW]
[ROW][C]229[/C][C]30[/C][C]38.7052294075374[/C][C]-8.70522940753736[/C][/ROW]
[ROW][C]230[/C][C]79[/C][C]69.5872049498428[/C][C]9.41279505015716[/C][/ROW]
[ROW][C]231[/C][C]47[/C][C]43.1269962388988[/C][C]3.87300376110115[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]39.9818456475652[/C][C]0.0181543524347811[/C][/ROW]
[ROW][C]233[/C][C]48[/C][C]46.611460960748[/C][C]1.38853903925198[/C][/ROW]
[ROW][C]234[/C][C]36[/C][C]46.1652844507461[/C][C]-10.1652844507461[/C][/ROW]
[ROW][C]235[/C][C]42[/C][C]61.805452495709[/C][C]-19.805452495709[/C][/ROW]
[ROW][C]236[/C][C]49[/C][C]50.903580861209[/C][C]-1.90358086120903[/C][/ROW]
[ROW][C]237[/C][C]57[/C][C]51.3944850019544[/C][C]5.6055149980456[/C][/ROW]
[ROW][C]238[/C][C]12[/C][C]45.7280796344745[/C][C]-33.7280796344745[/C][/ROW]
[ROW][C]239[/C][C]40[/C][C]46.8054849548031[/C][C]-6.80548495480312[/C][/ROW]
[ROW][C]240[/C][C]43[/C][C]43.7924061852621[/C][C]-0.792406185262063[/C][/ROW]
[ROW][C]241[/C][C]33[/C][C]43.6392125061066[/C][C]-10.6392125061066[/C][/ROW]
[ROW][C]242[/C][C]77[/C][C]66.7971534738645[/C][C]10.2028465261355[/C][/ROW]
[ROW][C]243[/C][C]43[/C][C]44.1744016041571[/C][C]-1.17440160415712[/C][/ROW]
[ROW][C]244[/C][C]45[/C][C]39.4595849626374[/C][C]5.54041503736264[/C][/ROW]
[ROW][C]245[/C][C]47[/C][C]43.1030457381406[/C][C]3.89695426185939[/C][/ROW]
[ROW][C]246[/C][C]43[/C][C]50.1215665739161[/C][C]-7.1215665739161[/C][/ROW]
[ROW][C]247[/C][C]45[/C][C]46.1689415398706[/C][C]-1.16894153987061[/C][/ROW]
[ROW][C]248[/C][C]50[/C][C]41.9866761472851[/C][C]8.01332385271491[/C][/ROW]
[ROW][C]249[/C][C]35[/C][C]29.7040269849643[/C][C]5.29597301503572[/C][/ROW]
[ROW][C]250[/C][C]7[/C][C]17.9515220344636[/C][C]-10.9515220344636[/C][/ROW]
[ROW][C]251[/C][C]71[/C][C]65.6186949501083[/C][C]5.3813050498917[/C][/ROW]
[ROW][C]252[/C][C]67[/C][C]62.6348567114478[/C][C]4.36514328855225[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]-1.41600269892932[/C][C]1.41600269892932[/C][/ROW]
[ROW][C]254[/C][C]62[/C][C]51.1105627905993[/C][C]10.8894372094007[/C][/ROW]
[ROW][C]255[/C][C]54[/C][C]46.6515953451981[/C][C]7.34840465480187[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]6.67607252844229[/C][C]-2.67607252844229[/C][/ROW]
[ROW][C]257[/C][C]25[/C][C]27.2618465255971[/C][C]-2.26184652559707[/C][/ROW]
[ROW][C]258[/C][C]40[/C][C]44.7395077183483[/C][C]-4.73950771834832[/C][/ROW]
[ROW][C]259[/C][C]38[/C][C]42.5176387438058[/C][C]-4.51763874380582[/C][/ROW]
[ROW][C]260[/C][C]19[/C][C]22.6317823381338[/C][C]-3.63178233813379[/C][/ROW]
[ROW][C]261[/C][C]17[/C][C]40.5216762260683[/C][C]-23.5216762260683[/C][/ROW]
[ROW][C]262[/C][C]67[/C][C]47.7610055638837[/C][C]19.2389944361163[/C][/ROW]
[ROW][C]263[/C][C]14[/C][C]15.1576023568974[/C][C]-1.15760235689745[/C][/ROW]
[ROW][C]264[/C][C]30[/C][C]41.1716816286018[/C][C]-11.1716816286018[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]40.7504367039085[/C][C]13.2495632960915[/C][/ROW]
[ROW][C]266[/C][C]35[/C][C]39.3169714125936[/C][C]-4.3169714125936[/C][/ROW]
[ROW][C]267[/C][C]59[/C][C]51.0037995744141[/C][C]7.99620042558585[/C][/ROW]
[ROW][C]268[/C][C]24[/C][C]34.8564057177658[/C][C]-10.8564057177658[/C][/ROW]
[ROW][C]269[/C][C]58[/C][C]44.8611332040821[/C][C]13.1388667959179[/C][/ROW]
[ROW][C]270[/C][C]42[/C][C]63.3127461123888[/C][C]-21.3127461123888[/C][/ROW]
[ROW][C]271[/C][C]46[/C][C]54.7305697875654[/C][C]-8.73056978756537[/C][/ROW]
[ROW][C]272[/C][C]61[/C][C]44.6682399912407[/C][C]16.3317600087593[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]-2.05733118395801[/C][C]5.05733118395801[/C][/ROW]
[ROW][C]274[/C][C]52[/C][C]46.2255230551674[/C][C]5.77447694483255[/C][/ROW]
[ROW][C]275[/C][C]25[/C][C]26.8380542838374[/C][C]-1.8380542838374[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]52.3636496306374[/C][C]-12.3636496306374[/C][/ROW]
[ROW][C]277[/C][C]32[/C][C]32.9125505562455[/C][C]-0.912550556245477[/C][/ROW]
[ROW][C]278[/C][C]4[/C][C]1.44900736549572[/C][C]2.55099263450428[/C][/ROW]
[ROW][C]279[/C][C]49[/C][C]39.3764402493701[/C][C]9.6235597506299[/C][/ROW]
[ROW][C]280[/C][C]63[/C][C]46.8443000731973[/C][C]16.1556999268027[/C][/ROW]
[ROW][C]281[/C][C]67[/C][C]52.9811612430217[/C][C]14.0188387569783[/C][/ROW]
[ROW][C]282[/C][C]32[/C][C]46.0021232965361[/C][C]-14.0021232965361[/C][/ROW]
[ROW][C]283[/C][C]23[/C][C]31.7055686203235[/C][C]-8.70556862032345[/C][/ROW]
[ROW][C]284[/C][C]7[/C][C]6.91047596254591[/C][C]0.089524037454091[/C][/ROW]
[ROW][C]285[/C][C]54[/C][C]43.0141504855988[/C][C]10.9858495144012[/C][/ROW]
[ROW][C]286[/C][C]37[/C][C]56.9499027064908[/C][C]-19.9499027064908[/C][/ROW]
[ROW][C]287[/C][C]35[/C][C]30.3040195877973[/C][C]4.69598041220266[/C][/ROW]
[ROW][C]288[/C][C]51[/C][C]44.8694930768125[/C][C]6.13050692318754[/C][/ROW]
[ROW][C]289[/C][C]39[/C][C]43.1758943812872[/C][C]-4.17589438128717[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160037&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160037&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
194101.642390088433-7.6423900884326
210390.24355286834112.756447131659
393117.94591485175-24.9459148517502
4103100.2455067859482.75449321405235
55164.9948754529597-13.9948754529597
67078.660326547256-8.66032654725595
79189.17201818401781.82798181598216
82248.4806913799971-26.4806913799971
93830.19607868321287.80392131678723
109387.52080207916035.47919792083969
116076.7241861325482-16.7241861325482
12123117.8903644240575.10963557594267
13148133.03564578555514.9643542144446
149090.2866532210457-0.286653221045731
15124125.040667235772-1.04066723577188
1670102.485840775702-32.4858407757022
17168148.99274274735219.0072572526478
18115104.59512953107410.4048704689258
1971101.620658921734-30.6206589217337
206679.3659371041558-13.3659371041558
21134118.47325932896615.526740671034
22117115.7798048863491.22019511365107
2310894.938999414447313.0610005855527
248477.27756127948126.72243872051877
25156122.76711059946133.2328894005394
26120106.77681511161213.2231848883881
2711498.721704510187415.2782954898126
2894100.479960434279-6.4799604342789
29120103.45877803700516.5412219629954
308172.04037718669398.9596228133061
31110103.7468195246636.25318047533681
32133114.96130822298118.0386917770189
33122129.470245074541-7.47024507454106
34158134.72789872357923.2721012764206
3510988.574795165277520.4252048347224
36124110.00308790390813.9969120960916
373936.75296971060712.24703028939291
389295.6718815703629-3.6718815703629
39126112.45665541717813.543344582822
400-5.135433464755785.13543346475578
417085.7738275662093-15.7738275662093
423740.3912144745082-3.39121447450818
433849.057859785017-11.057859785017
44120104.12976139388415.8702386061164
459394.4199667058578-1.4199667058578
4695105.693012213287-10.6930122132867
477761.238655615499415.7613443845006
489088.07051952451851.92948047548147
498082.9465758374784-2.9465758374784
5031116.401216613141-85.4012166131408
51110108.7255697557071.27443024429323
526673.6006953375798-7.60069533757983
53138122.46157870549815.5384212945022
54133131.4230606698511.57693933014928
55113102.97285940276610.0271405972344
5610088.745495658691911.2545043413081
5777.19379334380497-0.193793343804969
58140131.4272657982888.5727342017116
596150.527636055549510.4723639444505
604140.87421581290030.125784187099738
619692.62348363056353.37651636943649
62164144.64026019104719.3597398089532
637878.1749975597863-0.174997559786313
644944.58270321256924.41729678743079
65102103.045435585296-1.04543558529615
66124116.8897400984857.11025990151539
679987.370667450675411.6293325493246
68129127.9388465422651.06115345773543
696289.2291300852098-27.2291300852098
7073106.363332751788-33.3633327517882
71114102.06567981974611.9343201802537
729994.77592686212624.22407313787383
737077.3916825873578-7.3916825873578
7410491.884754027128112.1152459728719
75116112.7493568537763.25064314622421
769193.5143564763577-2.51435647635767
777474.193298623055-0.193298623054963
78138121.33978876383916.6602112361607
796763.82909064525213.17090935474787
80151121.79969890932329.2003010906767
817290.4938309772353-18.4938309772353
82120105.76147408593814.2385259140617
83115105.9756922590689.02430774093247
8410593.452219591017211.5477804089828
85104123.298720060016-19.2987200600157
8610892.344794901692115.6552050983079
879899.9559037066472-1.9559037066472
886965.07010748514113.92989251485892
89111122.668834243171-11.6688342431707
909975.63565925340523.364340746595
9171112.412760447673-41.4127604476729
922727.5629597954151-0.562959795415065
936966.16481662685232.83518337314774
9410793.688477461855913.3115225381441
957357.285822514635415.7141774853646
9610793.576574625396413.4234253746036
9793134.026358375767-41.0263583757666
98129123.8660134928885.13398650711203
996997.5869386493606-28.5869386493606
100118110.1926921573647.80730784263619
1017375.6156258321074-2.61562583210737
10211997.695214007781721.3047859922183
10310497.48297980828676.51702019171331
10410794.239309018053212.7606909819468
1059999.2407274772224-0.240727477222391
10690113.05401186246-23.0540118624604
107197164.30663728458532.6933627154146
1083659.0745190385469-23.0745190385469
1098597.135182295957-12.135182295957
110139130.0519778826498.94802211735073
111106113.921654781688-7.9216547816877
1125094.6078383542907-44.6078383542907
1136456.14491577128287.85508422871725
1143160.7711710383548-29.7711710383548
11563104.060276386527-41.0602763865272
1169298.0810321846502-6.08103218465021
117106103.2379993219312.76200067806913
1186355.25829361381627.7417063861838
1196987.5139836808277-18.5139836808277
1204149.9020002384218-8.90200023842178
1215660.2176433504211-4.21764335042108
1222532.7047394569489-7.70473945694888
1236551.110803713853213.8891962861468
12493101.182253017888-8.1822530178883
125114102.84010088775811.1598991122424
1263827.107498362112410.8925016378876
1274438.9902842905945.00971570940602
1288768.763696716537818.2363032834622
129110133.46712606752-23.4671260675202
1300-1.939933032811261.93993303281126
1312722.18997279798624.81002720201377
1328399.2139489841458-16.2139489841458
1333030.4292340569708-0.429234056970758
1348071.97033100913558.02966899086446
13598106.16060460499-8.16060460499043
13682104.865497692334-22.8654976923337
1370-5.024220783795575.02422078379557
1386079.4091403271415-19.4091403271415
1392838.126609755427-10.126609755427
140921.0188539244889-12.0188539244889
1413333.8469793654435-0.846979365443475
1425961.4987287119033-2.49872871190327
1434948.49722463835680.502775361643153
144115104.07125144139610.9287485586045
145140126.17444549539413.8255545046061
1464961.890330058039-12.890330058039
147120116.2056353250433.79436467495672
1486678.5720317782747-12.5720317782747
1492119.46989204487671.53010795512332
150124106.86112088568817.1388791143117
151152135.29143563630716.708564363693
152139134.1064524546224.89354754537753
1533841.402654932964-3.40265493296397
154144131.83812700903112.1618729909692
155120123.261204744014-3.26120474401409
156160160.995546357672-0.99554635767165
15711495.196234957911918.8037650420881
1583936.82119318525922.17880681474079
1597883.0177439501528-5.01774395015279
160119102.99543489835516.0045651016449
161141132.9337303948598.0662696051409
16210194.1255535400576.8744464599431
1635651.22590671904634.77409328095375
164133124.8439904395358.15600956046535
1658390.1940296312005-7.19402963120046
166116109.1895378529026.81046214709829
1679098.3508634755947-8.35086347559474
1683685.173528384989-49.173528384989
1695059.2922316386302-9.29223163863016
1706159.80211014356611.19788985643388
17197101.307073832927-4.30707383292664
17298106.025848079137-8.02584807913683
1737860.215835335827117.7841646641729
174117125.955139271028-8.95513927102786
175148130.96277548963217.0372245103675
1764137.02427883214763.97572116785245
177105109.391667608274-4.39166760827373
1785549.41259057353545.58740942646457
179132130.7129290510131.28707094898683
1804439.00228207104194.99771792895806
1812121.6804148197239-0.680414819723934
1825049.99648157916690.00351842083306046
1830-4.436381358005224.43638135800522
1847393.2991565092084-20.2991565092084
18586115.270019524626-29.2700195246256
1860-5.050696941048025.05069694104802
1871310.25791582995082.74208417004915
1884-2.100927200430516.10092720043051
1895747.12163264673169.87836735326841
1904890.6259545595489-42.6259545595489
1914675.0969507417513-29.0969507417513
1924847.14236648347930.857633516520693
1933231.00998650929770.990013490702288
1946868.287113450668-0.287113450668032
1958769.123132249379517.8768677506205
1964337.33155388192015.66844611807991
1976752.589844636878614.4101553631214
1984642.95636681435653.04363318564351
1994653.3293608643961-7.3293608643961
2005647.32975028770758.67024971229245
2014846.26433305578851.73566694421152
2024464.8379638346524-20.8379638346524
2036044.179028577231115.8209714227689
2046550.581902173120114.4180978268799
2055550.79757747690594.20242252309406
2063854.0917605937766-16.0917605937766
2075244.4985777209517.50142227904903
2086048.049960213335411.9500397866646
2095452.05310414699571.94689585300426
2108661.980378210937424.0196217890626
2112421.56024313113092.43975686886906
2125248.95027357930963.04972642069038
2134949.5750991310078-0.575099131007843
2146144.999179860812816.0008201391872
2156165.9276217940857-4.92762179408565
2168159.232752427842321.7672475721577
2174336.01469106960936.98530893039066
2184037.87572825747062.12427174252943
2194043.5368648639481-3.53686486394807
2205642.48713605192213.512863948078
2216856.855431406767811.1445685932322
2227967.586439966801911.4135600331981
2234750.003022627693-3.003022627693
2245751.3279332880585.67206671194199
2254143.2475566484597-2.24755664845967
2262935.6801958686752-6.68019586867517
227320.9270750648857-17.9270750648857
2286051.96337568394728.03662431605277
2293038.7052294075374-8.70522940753736
2307969.58720494984289.41279505015716
2314743.12699623889883.87300376110115
2324039.98184564756520.0181543524347811
2334846.6114609607481.38853903925198
2343646.1652844507461-10.1652844507461
2354261.805452495709-19.805452495709
2364950.903580861209-1.90358086120903
2375751.39448500195445.6055149980456
2381245.7280796344745-33.7280796344745
2394046.8054849548031-6.80548495480312
2404343.7924061852621-0.792406185262063
2413343.6392125061066-10.6392125061066
2427766.797153473864510.2028465261355
2434344.1744016041571-1.17440160415712
2444539.45958496263745.54041503736264
2454743.10304573814063.89695426185939
2464350.1215665739161-7.1215665739161
2474546.1689415398706-1.16894153987061
2485041.98667614728518.01332385271491
2493529.70402698496435.29597301503572
250717.9515220344636-10.9515220344636
2517165.61869495010835.3813050498917
2526762.63485671144784.36514328855225
2530-1.416002698929321.41600269892932
2546251.110562790599310.8894372094007
2555446.65159534519817.34840465480187
25646.67607252844229-2.67607252844229
2572527.2618465255971-2.26184652559707
2584044.7395077183483-4.73950771834832
2593842.5176387438058-4.51763874380582
2601922.6317823381338-3.63178233813379
2611740.5216762260683-23.5216762260683
2626747.761005563883719.2389944361163
2631415.1576023568974-1.15760235689745
2643041.1716816286018-11.1716816286018
2655440.750436703908513.2495632960915
2663539.3169714125936-4.3169714125936
2675951.00379957441417.99620042558585
2682434.8564057177658-10.8564057177658
2695844.861133204082113.1388667959179
2704263.3127461123888-21.3127461123888
2714654.7305697875654-8.73056978756537
2726144.668239991240716.3317600087593
2733-2.057331183958015.05733118395801
2745246.22552305516745.77447694483255
2752526.8380542838374-1.8380542838374
2764052.3636496306374-12.3636496306374
2773232.9125505562455-0.912550556245477
27841.449007365495722.55099263450428
2794939.37644024937019.6235597506299
2806346.844300073197316.1556999268027
2816752.981161243021714.0188387569783
2823246.0021232965361-14.0021232965361
2832331.7055686203235-8.70556862032345
28476.910475962545910.089524037454091
2855443.014150485598810.9858495144012
2863756.9499027064908-19.9499027064908
2873530.30401958779734.69598041220266
2885144.86949307681256.13050692318754
2893943.1758943812872-4.17589438128717






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.599271844183730.8014563116325390.400728155816269
90.4857017882424870.9714035764849730.514298211757513
100.3509473137818840.7018946275637690.649052686218116
110.2356090988927110.4712181977854210.764390901107289
120.2649556740251310.5299113480502620.735044325974869
130.2046938912166890.4093877824333770.795306108783311
140.1369640739209180.2739281478418350.863035926079082
150.1121199091885780.2242398183771560.887880090811422
160.3636206067269830.7272412134539650.636379393273017
170.3120503923667040.6241007847334080.687949607633296
180.2837335036887910.5674670073775810.716266496311209
190.777479216112540.4450415677749210.22252078388746
200.7434376841885370.5131246316229270.256562315811463
210.7466170259288440.5067659481423110.253382974071156
220.6879151539040580.6241696921918830.312084846095942
230.67914681501560.6417063699687990.320853184984399
240.675678420800360.648643158399280.32432157919964
250.8447528492017960.3104943015964080.155247150798204
260.8275101167126110.3449797665747770.172489883287389
270.8249470210794070.3501059578411860.175052978920593
280.7971083098781690.4057833802436610.202891690121831
290.7955757004586640.4088485990826730.204424299541336
300.790983481334010.418033037331980.20901651866599
310.749948053250860.5001038934982790.250051946749139
320.7437458821325150.512508235734970.256254117867485
330.7347084844418430.5305830311163140.265291515558157
340.743103188857560.513793622284880.25689681114244
350.7830802738027830.4338394523944330.216919726197217
360.761442654750090.4771146904998210.238557345249911
370.7447065640101380.5105868719797250.255293435989862
380.7054363591748070.5891272816503870.294563640825193
390.6784315454382360.6431369091235280.321568454561764
400.6915775784190570.6168448431618860.308422421580943
410.6990968338614620.6018063322770770.300903166138538
420.655142614030690.689714771938620.34485738596931
430.619264766479410.761470467041180.38073523352059
440.603272686003960.793454627992080.39672731399604
450.5578821211037870.8842357577924260.442117878896213
460.5420340636259330.9159318727481330.457965936374067
470.5479517616984290.9040964766031420.452048238301571
480.501002321731470.997995356537060.49899767826853
490.4545524040556710.9091048081113430.545447595944329
500.997955750736390.004088498527219860.00204424926360993
510.9972497087920050.005500582415990820.00275029120799541
520.9963504463122490.0072991073755020.003649553687751
530.9959279219782540.00814415604349120.0040720780217456
540.994639698744770.01072060251046250.00536030125523125
550.9932996100938370.01340077981232530.00670038990616266
560.9919094609082560.01618107818348810.00809053909174407
570.989472877002470.02105424599505980.0105271229975299
580.9869945432443880.02601091351122320.0130054567556116
590.9874136699294620.02517266014107540.0125863300705377
600.9836902698780530.03261946024389440.0163097301219472
610.9791720196108690.0416559607782630.0208279803891315
620.9817432874268480.03651342514630440.0182567125731522
630.978400992022210.04319801595557910.0215990079777896
640.9742611859682140.05147762806357280.0257388140317864
650.978322154708230.04335569058354170.0216778452917709
660.9737293663239260.05254126735214810.0262706336760741
670.9717388813599680.05652223728006330.0282611186400317
680.9654951964008850.06900960719823070.0345048035991154
690.9839133763061470.0321732473877070.0160866236938535
700.9935451103849350.01290977923013030.00645488961506516
710.9927634951440370.01447300971192650.00723650485596325
720.9907483199970950.01850336000581040.00925168000290521
730.988901506496780.02219698700644070.0110984935032203
740.9877209293444060.02455814131118840.0122790706555942
750.9845283892832960.03094322143340880.0154716107167044
760.9812278258550250.03754434828995090.0187721741449755
770.976443380126710.0471132397465790.0235566198732895
780.9773825482421920.04523490351561690.0226174517578084
790.9726400640617870.05471987187642650.0273599359382133
800.98487824574960.03024350850080080.0151217542504004
810.987017998126090.02596400374782120.0129820018739106
820.9861236849257370.02775263014852630.0138763150742631
830.9837672938857350.03246541222853070.0162327061142653
840.9819090227174610.03618195456507720.0180909772825386
850.9819750998164650.03604980036707050.0180249001835353
860.9820552439870460.03588951202590720.0179447560129536
870.9777686433913820.0444627132172360.022231356608618
880.9731361191587880.05372776168242470.0268638808412123
890.9714067228885680.05718655422286430.0285932771114322
900.9799944915075680.04001101698486360.0200055084924318
910.996615906115260.006768187769479320.00338409388473966
920.9955982594738570.008803481052286530.00440174052614327
930.994374954501360.01125009099728180.00562504549864092
940.9941392653812130.01172146923757430.00586073461878714
950.9943086997131250.01138260057374930.00569130028687467
960.9941876288098160.01162474238036780.0058123711901839
970.9989006389449560.002198722110088430.00109936105504422
980.998589287310520.002821425378958590.00141071268947929
990.9993465238108860.00130695237822810.000653476189114051
1000.9992041346901680.001591730619664410.000795865309832203
1010.9989368153489660.00212636930206790.00106318465103395
1020.9992200562833330.00155988743333390.000779943716666948
1030.9990173762806760.001965247438648410.000982623719324206
1040.9989557882597950.002088423480409980.00104421174020499
1050.9986398661048520.002720267790296560.00136013389514828
1060.9991122539888580.001775492022284360.00088774601114218
1070.9997515209144260.0004969581711483460.000248479085574173
1080.9998366517706150.0003266964587709440.000163348229385472
1090.9998266584412120.0003466831175754020.000173341558787701
1100.9997924817831490.0004150364337020060.000207518216851003
1110.999737475106850.0005250497863007190.000262524893150359
1120.9999838138670433.23722659134428e-051.61861329567214e-05
1130.9999795155723914.09688552173502e-052.04844276086751e-05
1140.9999930161259251.3967748149974e-056.98387407498702e-06
1150.9999995001503069.99699387079168e-074.99849693539584e-07
1160.999999274613151.45077370173623e-067.25386850868116e-07
1170.9999989208262342.15834753191757e-061.07917376595878e-06
1180.9999985800668462.8398663071936e-061.4199331535968e-06
1190.9999989476754072.10464918540334e-061.05232459270167e-06
1200.9999986111219332.77775613304782e-061.38887806652391e-06
1210.9999979436902934.11261941444996e-062.05630970722498e-06
1220.9999972344147115.53117057713161e-062.7655852885658e-06
1230.9999972803129555.43937408999436e-062.71968704499718e-06
1240.9999967256250736.54874985366622e-063.27437492683311e-06
1250.9999961116218547.77675629277997e-063.88837814638998e-06
1260.9999955501491048.89970179250506e-064.44985089625253e-06
1270.999993785704021.24285919587152e-056.21429597935758e-06
1280.999995345185849.3096283195519e-064.65481415977594e-06
1290.9999974130978125.173804375351e-062.5869021876755e-06
1300.9999961836899457.63262011018842e-063.81631005509421e-06
1310.999994585791291.0828417421582e-055.41420871079101e-06
1320.9999948984598151.02030803706428e-055.10154018532141e-06
1330.9999924639088821.50721822364745e-057.53609111823725e-06
1340.9999901541497141.96917005727569e-059.84585028637843e-06
1350.9999869109174032.61781651932972e-051.30890825966486e-05
1360.9999917737390771.64525218454657e-058.22626092273284e-06
1370.9999885376716412.29246567172844e-051.14623283586422e-05
1380.9999919469053251.61061893508402e-058.0530946754201e-06
1390.9999904139130931.91721738132696e-059.5860869066348e-06
1400.9999890293408722.19413182556224e-051.09706591278112e-05
1410.9999840217115353.19565769294178e-051.59782884647089e-05
1420.9999772343742724.55312514568186e-052.27656257284093e-05
1430.999967280278476.54394430586336e-053.27197215293168e-05
1440.9999620071783637.59856432738741e-053.79928216369371e-05
1450.9999602236156137.9552768774415e-053.97763843872075e-05
1460.9999568423189848.6315362032584e-054.3157681016292e-05
1470.9999396888375930.0001206223248130446.03111624065221e-05
1480.9999374653749430.0001250692501148646.25346250574322e-05
1490.9999122611099690.000175477780062038.77388900310152e-05
1500.9999245853850540.0001508292298920417.54146149460205e-05
1510.9999401726211010.0001196547577970425.98273788985209e-05
1520.9999245950138270.0001508099723463157.54049861731574e-05
1530.9998968738981520.0002062522036950920.000103126101847546
1540.9999001832149430.0001996335701136539.98167850568266e-05
1550.999861403117270.0002771937654603930.000138596882730197
1560.999807307519610.0003853849607795760.000192692480389788
1570.9998724074657580.0002551850684836410.000127592534241821
1580.9998242063967860.0003515872064273280.000175793603213664
1590.9997610318475950.0004779363048097330.000238968152404866
1600.9997654138544360.000469172291127950.000234586145563975
1610.999743222611340.0005135547773182160.000256777388659108
1620.9996671380084530.0006657239830943620.000332861991547181
1630.9995616869422840.000876626115432490.000438313057716245
1640.999508919761890.000982160476221450.000491080238110725
1650.9993544254265840.001291149146831180.000645574573415588
1660.9992869281187970.001426143762405350.000713071881202677
1670.999076434188340.001847131623321090.000923565811660546
1680.9999777181315924.45637368161823e-052.22818684080912e-05
1690.9999716007031865.67985936271975e-052.83992968135987e-05
1700.999959792504138.04149917416726e-054.02074958708363e-05
1710.9999436435058790.0001127129882423715.63564941211856e-05
1720.9999222012038960.0001555975922086517.77987961043253e-05
1730.999935802546870.0001283949062612496.41974531306245e-05
1740.9999140570920170.0001718858159660438.59429079830213e-05
1750.9999498781726320.0001002436547350345.01218273675172e-05
1760.9999298477026780.0001403045946441877.01522973220934e-05
1770.9999001782683840.0001996434632320989.9821731616049e-05
1780.999868722266240.0002625554675209290.000131277733760465
1790.999843789340190.0003124213196205740.000156210659810287
1800.999789103268510.0004217934629818130.000210896731490907
1810.9997241576694550.0005516846610896190.00027584233054481
1820.9996206060640780.0007587878718442420.000379393935922121
1830.9994870137908740.001025972418251850.000512986209125924
1840.99954023097920.0009195380416025170.000459769020801259
1850.9998259458638450.0003481082723109420.000174054136155471
1860.9997605480963540.0004789038072919770.000239451903645989
1870.9996653010690420.0006693978619152220.000334698930957611
1880.9995547703164140.0008904593671709820.000445229683585491
1890.9994673147005270.00106537059894590.000532685299472949
1900.999972698532145.4602935719711e-052.73014678598555e-05
1910.9999956546353888.69072922383462e-064.34536461191731e-06
1920.9999932628472041.34743055924645e-056.73715279623226e-06
1930.9999896370435872.07259128263328e-051.03629564131664e-05
1940.999984260224753.1479550500156e-051.5739775250078e-05
1950.9999871454132962.57091734086467e-051.28545867043233e-05
1960.9999816213237413.67573525170565e-051.83786762585283e-05
1970.9999822606297983.54787404041687e-051.77393702020844e-05
1980.9999742775099125.14449801754166e-052.57224900877083e-05
1990.9999678071960386.43856079248245e-053.21928039624122e-05
2000.9999604878471727.90243056564319e-053.9512152828216e-05
2010.9999409198781860.0001181602436277025.90801218138511e-05
2020.9999707994969685.84010060631314e-052.92005030315657e-05
2030.9999718160298545.63679402923085e-052.81839701461542e-05
2040.9999714431624455.71136751090218e-052.85568375545109e-05
2050.9999574980419388.50039161232227e-054.25019580616114e-05
2060.9999710957491645.78085016717209e-052.89042508358604e-05
2070.9999593416459528.13167080969246e-054.06583540484623e-05
2080.9999554259636028.91480727956609e-054.45740363978304e-05
2090.999932312613940.0001353747721194576.76873860597286e-05
2100.9999689342993666.21314012684979e-053.10657006342489e-05
2110.99995330974589.33805083996566e-054.66902541998283e-05
2120.9999299457932150.0001401084135691537.00542067845766e-05
2130.9998937905538180.0002124188923637640.000106209446181882
2140.9999081281217960.0001837437564071679.18718782035836e-05
2150.9998755781845810.000248843630837760.00012442181541888
2160.9999314321887470.0001371356225065266.8567811253263e-05
2170.9999071276086370.0001857447827265659.28723913632824e-05
2180.9998612117316360.000277576536727450.000138788268363725
2190.999795097525640.0004098049487200910.000204902474360046
2200.9998102136186260.0003795727627489490.000189786381374475
2210.9997928756038790.0004142487922423810.00020712439612119
2220.9997776042449150.0004447915101690790.00022239575508454
2230.9996748106485420.000650378702915490.000325189351457745
2240.9995712695023030.0008574609953932390.000428730497696619
2250.999365408442880.00126918311424020.000634591557120099
2260.9992405643411540.001518871317692570.000759435658846287
2270.9994559392238860.001088121552227880.00054406077611394
2280.9992954708166630.001409058366673160.00070452918333658
2290.9991713343888990.001657331222202360.00082866561110118
2300.999294908519680.001410182960639930.000705091480319967
2310.9990285682778690.001942863444262170.000971431722131087
2320.9985642294171090.002871541165782750.00143577058289138
2330.997923366809210.004153266381580950.00207663319079048
2340.997327208491760.005345583016482210.0026727915082411
2350.9983487445378220.003302510924356990.00165125546217849
2360.9975877534639440.004824493072112850.00241224653605642
2370.9968639512089580.006272097582084110.00313604879104205
2380.9998152680360350.0003694639279292010.0001847319639646
2390.999758210379020.0004835792419626040.000241789620981302
2400.9996264413740560.000747117251888640.00037355862594432
2410.9995449608203790.0009100783592427760.000455039179621388
2420.9993024585317720.001395082936455790.000697541468227895
2430.9989723853172510.002055229365497460.00102761468274873
2440.9985391815285260.002921636942947530.00146081847147377
2450.9978078903174850.004384219365030980.00219210968251549
2460.9969554027639680.006089194472063170.00304459723603158
2470.9954465727334460.009106854533108380.00455342726655419
2480.994574390120060.01085121975988190.00542560987994096
2490.9927490784474720.0145018431050560.00725092155252799
2500.9911125610720160.01777487785596750.00888743892798374
2510.9886406656015880.02271866879682340.0113593343984117
2520.9841157026205480.03176859475890480.0158842973794524
2530.9773967598776670.04520648024466660.0226032401223333
2540.9804050817755640.03918983644887260.0195949182244363
2550.977603723688390.04479255262321930.0223962763116096
2560.9694220847478850.0611558305042290.0305779152521145
2570.9595594688738480.0808810622523040.040440531126152
2580.9443255131287570.1113489737424870.0556744868712434
2590.9244034386419430.1511931227161140.0755965613580571
2600.8999686832104460.2000626335791080.100031316789554
2610.9529004260513480.09419914789730460.0470995739486523
2620.9630213584963570.0739572830072860.036978641503643
2630.949986059784270.100027880431460.0500139402157301
2640.9599894511641970.08002109767160550.0400105488358028
2650.9713327729891390.05733445402172240.0286672270108612
2660.9618846829471220.0762306341057550.0381153170528775
2670.9482256048374780.1035487903250440.0517743951625222
2680.936275233387380.127449533225240.0637247666126198
2690.9291161757254850.1417676485490310.0708838242745154
2700.9444536152755220.1110927694489560.055546384724478
2710.9419299713975780.1161400572048450.0580700286024225
2720.9609744208703720.07805115825925620.0390255791296281
2730.9360191472176680.1279617055646640.0639808527823318
2740.8984904584129490.2030190831741030.101509541587052
2750.8502112515130390.2995774969739220.149788748486961
2760.9101484598708360.1797030802583270.0898515401291637
2770.854289653573430.2914206928531390.14571034642657
2780.791666382925590.4166672341488190.20833361707441
2790.6790491989481990.6419016021036030.320950801051801
2800.6852845473445720.6294309053108550.314715452655428
2810.8339810065581420.3320379868837160.166018993441858

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.59927184418373 & 0.801456311632539 & 0.400728155816269 \tabularnewline
9 & 0.485701788242487 & 0.971403576484973 & 0.514298211757513 \tabularnewline
10 & 0.350947313781884 & 0.701894627563769 & 0.649052686218116 \tabularnewline
11 & 0.235609098892711 & 0.471218197785421 & 0.764390901107289 \tabularnewline
12 & 0.264955674025131 & 0.529911348050262 & 0.735044325974869 \tabularnewline
13 & 0.204693891216689 & 0.409387782433377 & 0.795306108783311 \tabularnewline
14 & 0.136964073920918 & 0.273928147841835 & 0.863035926079082 \tabularnewline
15 & 0.112119909188578 & 0.224239818377156 & 0.887880090811422 \tabularnewline
16 & 0.363620606726983 & 0.727241213453965 & 0.636379393273017 \tabularnewline
17 & 0.312050392366704 & 0.624100784733408 & 0.687949607633296 \tabularnewline
18 & 0.283733503688791 & 0.567467007377581 & 0.716266496311209 \tabularnewline
19 & 0.77747921611254 & 0.445041567774921 & 0.22252078388746 \tabularnewline
20 & 0.743437684188537 & 0.513124631622927 & 0.256562315811463 \tabularnewline
21 & 0.746617025928844 & 0.506765948142311 & 0.253382974071156 \tabularnewline
22 & 0.687915153904058 & 0.624169692191883 & 0.312084846095942 \tabularnewline
23 & 0.6791468150156 & 0.641706369968799 & 0.320853184984399 \tabularnewline
24 & 0.67567842080036 & 0.64864315839928 & 0.32432157919964 \tabularnewline
25 & 0.844752849201796 & 0.310494301596408 & 0.155247150798204 \tabularnewline
26 & 0.827510116712611 & 0.344979766574777 & 0.172489883287389 \tabularnewline
27 & 0.824947021079407 & 0.350105957841186 & 0.175052978920593 \tabularnewline
28 & 0.797108309878169 & 0.405783380243661 & 0.202891690121831 \tabularnewline
29 & 0.795575700458664 & 0.408848599082673 & 0.204424299541336 \tabularnewline
30 & 0.79098348133401 & 0.41803303733198 & 0.20901651866599 \tabularnewline
31 & 0.74994805325086 & 0.500103893498279 & 0.250051946749139 \tabularnewline
32 & 0.743745882132515 & 0.51250823573497 & 0.256254117867485 \tabularnewline
33 & 0.734708484441843 & 0.530583031116314 & 0.265291515558157 \tabularnewline
34 & 0.74310318885756 & 0.51379362228488 & 0.25689681114244 \tabularnewline
35 & 0.783080273802783 & 0.433839452394433 & 0.216919726197217 \tabularnewline
36 & 0.76144265475009 & 0.477114690499821 & 0.238557345249911 \tabularnewline
37 & 0.744706564010138 & 0.510586871979725 & 0.255293435989862 \tabularnewline
38 & 0.705436359174807 & 0.589127281650387 & 0.294563640825193 \tabularnewline
39 & 0.678431545438236 & 0.643136909123528 & 0.321568454561764 \tabularnewline
40 & 0.691577578419057 & 0.616844843161886 & 0.308422421580943 \tabularnewline
41 & 0.699096833861462 & 0.601806332277077 & 0.300903166138538 \tabularnewline
42 & 0.65514261403069 & 0.68971477193862 & 0.34485738596931 \tabularnewline
43 & 0.61926476647941 & 0.76147046704118 & 0.38073523352059 \tabularnewline
44 & 0.60327268600396 & 0.79345462799208 & 0.39672731399604 \tabularnewline
45 & 0.557882121103787 & 0.884235757792426 & 0.442117878896213 \tabularnewline
46 & 0.542034063625933 & 0.915931872748133 & 0.457965936374067 \tabularnewline
47 & 0.547951761698429 & 0.904096476603142 & 0.452048238301571 \tabularnewline
48 & 0.50100232173147 & 0.99799535653706 & 0.49899767826853 \tabularnewline
49 & 0.454552404055671 & 0.909104808111343 & 0.545447595944329 \tabularnewline
50 & 0.99795575073639 & 0.00408849852721986 & 0.00204424926360993 \tabularnewline
51 & 0.997249708792005 & 0.00550058241599082 & 0.00275029120799541 \tabularnewline
52 & 0.996350446312249 & 0.007299107375502 & 0.003649553687751 \tabularnewline
53 & 0.995927921978254 & 0.0081441560434912 & 0.0040720780217456 \tabularnewline
54 & 0.99463969874477 & 0.0107206025104625 & 0.00536030125523125 \tabularnewline
55 & 0.993299610093837 & 0.0134007798123253 & 0.00670038990616266 \tabularnewline
56 & 0.991909460908256 & 0.0161810781834881 & 0.00809053909174407 \tabularnewline
57 & 0.98947287700247 & 0.0210542459950598 & 0.0105271229975299 \tabularnewline
58 & 0.986994543244388 & 0.0260109135112232 & 0.0130054567556116 \tabularnewline
59 & 0.987413669929462 & 0.0251726601410754 & 0.0125863300705377 \tabularnewline
60 & 0.983690269878053 & 0.0326194602438944 & 0.0163097301219472 \tabularnewline
61 & 0.979172019610869 & 0.041655960778263 & 0.0208279803891315 \tabularnewline
62 & 0.981743287426848 & 0.0365134251463044 & 0.0182567125731522 \tabularnewline
63 & 0.97840099202221 & 0.0431980159555791 & 0.0215990079777896 \tabularnewline
64 & 0.974261185968214 & 0.0514776280635728 & 0.0257388140317864 \tabularnewline
65 & 0.97832215470823 & 0.0433556905835417 & 0.0216778452917709 \tabularnewline
66 & 0.973729366323926 & 0.0525412673521481 & 0.0262706336760741 \tabularnewline
67 & 0.971738881359968 & 0.0565222372800633 & 0.0282611186400317 \tabularnewline
68 & 0.965495196400885 & 0.0690096071982307 & 0.0345048035991154 \tabularnewline
69 & 0.983913376306147 & 0.032173247387707 & 0.0160866236938535 \tabularnewline
70 & 0.993545110384935 & 0.0129097792301303 & 0.00645488961506516 \tabularnewline
71 & 0.992763495144037 & 0.0144730097119265 & 0.00723650485596325 \tabularnewline
72 & 0.990748319997095 & 0.0185033600058104 & 0.00925168000290521 \tabularnewline
73 & 0.98890150649678 & 0.0221969870064407 & 0.0110984935032203 \tabularnewline
74 & 0.987720929344406 & 0.0245581413111884 & 0.0122790706555942 \tabularnewline
75 & 0.984528389283296 & 0.0309432214334088 & 0.0154716107167044 \tabularnewline
76 & 0.981227825855025 & 0.0375443482899509 & 0.0187721741449755 \tabularnewline
77 & 0.97644338012671 & 0.047113239746579 & 0.0235566198732895 \tabularnewline
78 & 0.977382548242192 & 0.0452349035156169 & 0.0226174517578084 \tabularnewline
79 & 0.972640064061787 & 0.0547198718764265 & 0.0273599359382133 \tabularnewline
80 & 0.9848782457496 & 0.0302435085008008 & 0.0151217542504004 \tabularnewline
81 & 0.98701799812609 & 0.0259640037478212 & 0.0129820018739106 \tabularnewline
82 & 0.986123684925737 & 0.0277526301485263 & 0.0138763150742631 \tabularnewline
83 & 0.983767293885735 & 0.0324654122285307 & 0.0162327061142653 \tabularnewline
84 & 0.981909022717461 & 0.0361819545650772 & 0.0180909772825386 \tabularnewline
85 & 0.981975099816465 & 0.0360498003670705 & 0.0180249001835353 \tabularnewline
86 & 0.982055243987046 & 0.0358895120259072 & 0.0179447560129536 \tabularnewline
87 & 0.977768643391382 & 0.044462713217236 & 0.022231356608618 \tabularnewline
88 & 0.973136119158788 & 0.0537277616824247 & 0.0268638808412123 \tabularnewline
89 & 0.971406722888568 & 0.0571865542228643 & 0.0285932771114322 \tabularnewline
90 & 0.979994491507568 & 0.0400110169848636 & 0.0200055084924318 \tabularnewline
91 & 0.99661590611526 & 0.00676818776947932 & 0.00338409388473966 \tabularnewline
92 & 0.995598259473857 & 0.00880348105228653 & 0.00440174052614327 \tabularnewline
93 & 0.99437495450136 & 0.0112500909972818 & 0.00562504549864092 \tabularnewline
94 & 0.994139265381213 & 0.0117214692375743 & 0.00586073461878714 \tabularnewline
95 & 0.994308699713125 & 0.0113826005737493 & 0.00569130028687467 \tabularnewline
96 & 0.994187628809816 & 0.0116247423803678 & 0.0058123711901839 \tabularnewline
97 & 0.998900638944956 & 0.00219872211008843 & 0.00109936105504422 \tabularnewline
98 & 0.99858928731052 & 0.00282142537895859 & 0.00141071268947929 \tabularnewline
99 & 0.999346523810886 & 0.0013069523782281 & 0.000653476189114051 \tabularnewline
100 & 0.999204134690168 & 0.00159173061966441 & 0.000795865309832203 \tabularnewline
101 & 0.998936815348966 & 0.0021263693020679 & 0.00106318465103395 \tabularnewline
102 & 0.999220056283333 & 0.0015598874333339 & 0.000779943716666948 \tabularnewline
103 & 0.999017376280676 & 0.00196524743864841 & 0.000982623719324206 \tabularnewline
104 & 0.998955788259795 & 0.00208842348040998 & 0.00104421174020499 \tabularnewline
105 & 0.998639866104852 & 0.00272026779029656 & 0.00136013389514828 \tabularnewline
106 & 0.999112253988858 & 0.00177549202228436 & 0.00088774601114218 \tabularnewline
107 & 0.999751520914426 & 0.000496958171148346 & 0.000248479085574173 \tabularnewline
108 & 0.999836651770615 & 0.000326696458770944 & 0.000163348229385472 \tabularnewline
109 & 0.999826658441212 & 0.000346683117575402 & 0.000173341558787701 \tabularnewline
110 & 0.999792481783149 & 0.000415036433702006 & 0.000207518216851003 \tabularnewline
111 & 0.99973747510685 & 0.000525049786300719 & 0.000262524893150359 \tabularnewline
112 & 0.999983813867043 & 3.23722659134428e-05 & 1.61861329567214e-05 \tabularnewline
113 & 0.999979515572391 & 4.09688552173502e-05 & 2.04844276086751e-05 \tabularnewline
114 & 0.999993016125925 & 1.3967748149974e-05 & 6.98387407498702e-06 \tabularnewline
115 & 0.999999500150306 & 9.99699387079168e-07 & 4.99849693539584e-07 \tabularnewline
116 & 0.99999927461315 & 1.45077370173623e-06 & 7.25386850868116e-07 \tabularnewline
117 & 0.999998920826234 & 2.15834753191757e-06 & 1.07917376595878e-06 \tabularnewline
118 & 0.999998580066846 & 2.8398663071936e-06 & 1.4199331535968e-06 \tabularnewline
119 & 0.999998947675407 & 2.10464918540334e-06 & 1.05232459270167e-06 \tabularnewline
120 & 0.999998611121933 & 2.77775613304782e-06 & 1.38887806652391e-06 \tabularnewline
121 & 0.999997943690293 & 4.11261941444996e-06 & 2.05630970722498e-06 \tabularnewline
122 & 0.999997234414711 & 5.53117057713161e-06 & 2.7655852885658e-06 \tabularnewline
123 & 0.999997280312955 & 5.43937408999436e-06 & 2.71968704499718e-06 \tabularnewline
124 & 0.999996725625073 & 6.54874985366622e-06 & 3.27437492683311e-06 \tabularnewline
125 & 0.999996111621854 & 7.77675629277997e-06 & 3.88837814638998e-06 \tabularnewline
126 & 0.999995550149104 & 8.89970179250506e-06 & 4.44985089625253e-06 \tabularnewline
127 & 0.99999378570402 & 1.24285919587152e-05 & 6.21429597935758e-06 \tabularnewline
128 & 0.99999534518584 & 9.3096283195519e-06 & 4.65481415977594e-06 \tabularnewline
129 & 0.999997413097812 & 5.173804375351e-06 & 2.5869021876755e-06 \tabularnewline
130 & 0.999996183689945 & 7.63262011018842e-06 & 3.81631005509421e-06 \tabularnewline
131 & 0.99999458579129 & 1.0828417421582e-05 & 5.41420871079101e-06 \tabularnewline
132 & 0.999994898459815 & 1.02030803706428e-05 & 5.10154018532141e-06 \tabularnewline
133 & 0.999992463908882 & 1.50721822364745e-05 & 7.53609111823725e-06 \tabularnewline
134 & 0.999990154149714 & 1.96917005727569e-05 & 9.84585028637843e-06 \tabularnewline
135 & 0.999986910917403 & 2.61781651932972e-05 & 1.30890825966486e-05 \tabularnewline
136 & 0.999991773739077 & 1.64525218454657e-05 & 8.22626092273284e-06 \tabularnewline
137 & 0.999988537671641 & 2.29246567172844e-05 & 1.14623283586422e-05 \tabularnewline
138 & 0.999991946905325 & 1.61061893508402e-05 & 8.0530946754201e-06 \tabularnewline
139 & 0.999990413913093 & 1.91721738132696e-05 & 9.5860869066348e-06 \tabularnewline
140 & 0.999989029340872 & 2.19413182556224e-05 & 1.09706591278112e-05 \tabularnewline
141 & 0.999984021711535 & 3.19565769294178e-05 & 1.59782884647089e-05 \tabularnewline
142 & 0.999977234374272 & 4.55312514568186e-05 & 2.27656257284093e-05 \tabularnewline
143 & 0.99996728027847 & 6.54394430586336e-05 & 3.27197215293168e-05 \tabularnewline
144 & 0.999962007178363 & 7.59856432738741e-05 & 3.79928216369371e-05 \tabularnewline
145 & 0.999960223615613 & 7.9552768774415e-05 & 3.97763843872075e-05 \tabularnewline
146 & 0.999956842318984 & 8.6315362032584e-05 & 4.3157681016292e-05 \tabularnewline
147 & 0.999939688837593 & 0.000120622324813044 & 6.03111624065221e-05 \tabularnewline
148 & 0.999937465374943 & 0.000125069250114864 & 6.25346250574322e-05 \tabularnewline
149 & 0.999912261109969 & 0.00017547778006203 & 8.77388900310152e-05 \tabularnewline
150 & 0.999924585385054 & 0.000150829229892041 & 7.54146149460205e-05 \tabularnewline
151 & 0.999940172621101 & 0.000119654757797042 & 5.98273788985209e-05 \tabularnewline
152 & 0.999924595013827 & 0.000150809972346315 & 7.54049861731574e-05 \tabularnewline
153 & 0.999896873898152 & 0.000206252203695092 & 0.000103126101847546 \tabularnewline
154 & 0.999900183214943 & 0.000199633570113653 & 9.98167850568266e-05 \tabularnewline
155 & 0.99986140311727 & 0.000277193765460393 & 0.000138596882730197 \tabularnewline
156 & 0.99980730751961 & 0.000385384960779576 & 0.000192692480389788 \tabularnewline
157 & 0.999872407465758 & 0.000255185068483641 & 0.000127592534241821 \tabularnewline
158 & 0.999824206396786 & 0.000351587206427328 & 0.000175793603213664 \tabularnewline
159 & 0.999761031847595 & 0.000477936304809733 & 0.000238968152404866 \tabularnewline
160 & 0.999765413854436 & 0.00046917229112795 & 0.000234586145563975 \tabularnewline
161 & 0.99974322261134 & 0.000513554777318216 & 0.000256777388659108 \tabularnewline
162 & 0.999667138008453 & 0.000665723983094362 & 0.000332861991547181 \tabularnewline
163 & 0.999561686942284 & 0.00087662611543249 & 0.000438313057716245 \tabularnewline
164 & 0.99950891976189 & 0.00098216047622145 & 0.000491080238110725 \tabularnewline
165 & 0.999354425426584 & 0.00129114914683118 & 0.000645574573415588 \tabularnewline
166 & 0.999286928118797 & 0.00142614376240535 & 0.000713071881202677 \tabularnewline
167 & 0.99907643418834 & 0.00184713162332109 & 0.000923565811660546 \tabularnewline
168 & 0.999977718131592 & 4.45637368161823e-05 & 2.22818684080912e-05 \tabularnewline
169 & 0.999971600703186 & 5.67985936271975e-05 & 2.83992968135987e-05 \tabularnewline
170 & 0.99995979250413 & 8.04149917416726e-05 & 4.02074958708363e-05 \tabularnewline
171 & 0.999943643505879 & 0.000112712988242371 & 5.63564941211856e-05 \tabularnewline
172 & 0.999922201203896 & 0.000155597592208651 & 7.77987961043253e-05 \tabularnewline
173 & 0.99993580254687 & 0.000128394906261249 & 6.41974531306245e-05 \tabularnewline
174 & 0.999914057092017 & 0.000171885815966043 & 8.59429079830213e-05 \tabularnewline
175 & 0.999949878172632 & 0.000100243654735034 & 5.01218273675172e-05 \tabularnewline
176 & 0.999929847702678 & 0.000140304594644187 & 7.01522973220934e-05 \tabularnewline
177 & 0.999900178268384 & 0.000199643463232098 & 9.9821731616049e-05 \tabularnewline
178 & 0.99986872226624 & 0.000262555467520929 & 0.000131277733760465 \tabularnewline
179 & 0.99984378934019 & 0.000312421319620574 & 0.000156210659810287 \tabularnewline
180 & 0.99978910326851 & 0.000421793462981813 & 0.000210896731490907 \tabularnewline
181 & 0.999724157669455 & 0.000551684661089619 & 0.00027584233054481 \tabularnewline
182 & 0.999620606064078 & 0.000758787871844242 & 0.000379393935922121 \tabularnewline
183 & 0.999487013790874 & 0.00102597241825185 & 0.000512986209125924 \tabularnewline
184 & 0.9995402309792 & 0.000919538041602517 & 0.000459769020801259 \tabularnewline
185 & 0.999825945863845 & 0.000348108272310942 & 0.000174054136155471 \tabularnewline
186 & 0.999760548096354 & 0.000478903807291977 & 0.000239451903645989 \tabularnewline
187 & 0.999665301069042 & 0.000669397861915222 & 0.000334698930957611 \tabularnewline
188 & 0.999554770316414 & 0.000890459367170982 & 0.000445229683585491 \tabularnewline
189 & 0.999467314700527 & 0.0010653705989459 & 0.000532685299472949 \tabularnewline
190 & 0.99997269853214 & 5.4602935719711e-05 & 2.73014678598555e-05 \tabularnewline
191 & 0.999995654635388 & 8.69072922383462e-06 & 4.34536461191731e-06 \tabularnewline
192 & 0.999993262847204 & 1.34743055924645e-05 & 6.73715279623226e-06 \tabularnewline
193 & 0.999989637043587 & 2.07259128263328e-05 & 1.03629564131664e-05 \tabularnewline
194 & 0.99998426022475 & 3.1479550500156e-05 & 1.5739775250078e-05 \tabularnewline
195 & 0.999987145413296 & 2.57091734086467e-05 & 1.28545867043233e-05 \tabularnewline
196 & 0.999981621323741 & 3.67573525170565e-05 & 1.83786762585283e-05 \tabularnewline
197 & 0.999982260629798 & 3.54787404041687e-05 & 1.77393702020844e-05 \tabularnewline
198 & 0.999974277509912 & 5.14449801754166e-05 & 2.57224900877083e-05 \tabularnewline
199 & 0.999967807196038 & 6.43856079248245e-05 & 3.21928039624122e-05 \tabularnewline
200 & 0.999960487847172 & 7.90243056564319e-05 & 3.9512152828216e-05 \tabularnewline
201 & 0.999940919878186 & 0.000118160243627702 & 5.90801218138511e-05 \tabularnewline
202 & 0.999970799496968 & 5.84010060631314e-05 & 2.92005030315657e-05 \tabularnewline
203 & 0.999971816029854 & 5.63679402923085e-05 & 2.81839701461542e-05 \tabularnewline
204 & 0.999971443162445 & 5.71136751090218e-05 & 2.85568375545109e-05 \tabularnewline
205 & 0.999957498041938 & 8.50039161232227e-05 & 4.25019580616114e-05 \tabularnewline
206 & 0.999971095749164 & 5.78085016717209e-05 & 2.89042508358604e-05 \tabularnewline
207 & 0.999959341645952 & 8.13167080969246e-05 & 4.06583540484623e-05 \tabularnewline
208 & 0.999955425963602 & 8.91480727956609e-05 & 4.45740363978304e-05 \tabularnewline
209 & 0.99993231261394 & 0.000135374772119457 & 6.76873860597286e-05 \tabularnewline
210 & 0.999968934299366 & 6.21314012684979e-05 & 3.10657006342489e-05 \tabularnewline
211 & 0.9999533097458 & 9.33805083996566e-05 & 4.66902541998283e-05 \tabularnewline
212 & 0.999929945793215 & 0.000140108413569153 & 7.00542067845766e-05 \tabularnewline
213 & 0.999893790553818 & 0.000212418892363764 & 0.000106209446181882 \tabularnewline
214 & 0.999908128121796 & 0.000183743756407167 & 9.18718782035836e-05 \tabularnewline
215 & 0.999875578184581 & 0.00024884363083776 & 0.00012442181541888 \tabularnewline
216 & 0.999931432188747 & 0.000137135622506526 & 6.8567811253263e-05 \tabularnewline
217 & 0.999907127608637 & 0.000185744782726565 & 9.28723913632824e-05 \tabularnewline
218 & 0.999861211731636 & 0.00027757653672745 & 0.000138788268363725 \tabularnewline
219 & 0.99979509752564 & 0.000409804948720091 & 0.000204902474360046 \tabularnewline
220 & 0.999810213618626 & 0.000379572762748949 & 0.000189786381374475 \tabularnewline
221 & 0.999792875603879 & 0.000414248792242381 & 0.00020712439612119 \tabularnewline
222 & 0.999777604244915 & 0.000444791510169079 & 0.00022239575508454 \tabularnewline
223 & 0.999674810648542 & 0.00065037870291549 & 0.000325189351457745 \tabularnewline
224 & 0.999571269502303 & 0.000857460995393239 & 0.000428730497696619 \tabularnewline
225 & 0.99936540844288 & 0.0012691831142402 & 0.000634591557120099 \tabularnewline
226 & 0.999240564341154 & 0.00151887131769257 & 0.000759435658846287 \tabularnewline
227 & 0.999455939223886 & 0.00108812155222788 & 0.00054406077611394 \tabularnewline
228 & 0.999295470816663 & 0.00140905836667316 & 0.00070452918333658 \tabularnewline
229 & 0.999171334388899 & 0.00165733122220236 & 0.00082866561110118 \tabularnewline
230 & 0.99929490851968 & 0.00141018296063993 & 0.000705091480319967 \tabularnewline
231 & 0.999028568277869 & 0.00194286344426217 & 0.000971431722131087 \tabularnewline
232 & 0.998564229417109 & 0.00287154116578275 & 0.00143577058289138 \tabularnewline
233 & 0.99792336680921 & 0.00415326638158095 & 0.00207663319079048 \tabularnewline
234 & 0.99732720849176 & 0.00534558301648221 & 0.0026727915082411 \tabularnewline
235 & 0.998348744537822 & 0.00330251092435699 & 0.00165125546217849 \tabularnewline
236 & 0.997587753463944 & 0.00482449307211285 & 0.00241224653605642 \tabularnewline
237 & 0.996863951208958 & 0.00627209758208411 & 0.00313604879104205 \tabularnewline
238 & 0.999815268036035 & 0.000369463927929201 & 0.0001847319639646 \tabularnewline
239 & 0.99975821037902 & 0.000483579241962604 & 0.000241789620981302 \tabularnewline
240 & 0.999626441374056 & 0.00074711725188864 & 0.00037355862594432 \tabularnewline
241 & 0.999544960820379 & 0.000910078359242776 & 0.000455039179621388 \tabularnewline
242 & 0.999302458531772 & 0.00139508293645579 & 0.000697541468227895 \tabularnewline
243 & 0.998972385317251 & 0.00205522936549746 & 0.00102761468274873 \tabularnewline
244 & 0.998539181528526 & 0.00292163694294753 & 0.00146081847147377 \tabularnewline
245 & 0.997807890317485 & 0.00438421936503098 & 0.00219210968251549 \tabularnewline
246 & 0.996955402763968 & 0.00608919447206317 & 0.00304459723603158 \tabularnewline
247 & 0.995446572733446 & 0.00910685453310838 & 0.00455342726655419 \tabularnewline
248 & 0.99457439012006 & 0.0108512197598819 & 0.00542560987994096 \tabularnewline
249 & 0.992749078447472 & 0.014501843105056 & 0.00725092155252799 \tabularnewline
250 & 0.991112561072016 & 0.0177748778559675 & 0.00888743892798374 \tabularnewline
251 & 0.988640665601588 & 0.0227186687968234 & 0.0113593343984117 \tabularnewline
252 & 0.984115702620548 & 0.0317685947589048 & 0.0158842973794524 \tabularnewline
253 & 0.977396759877667 & 0.0452064802446666 & 0.0226032401223333 \tabularnewline
254 & 0.980405081775564 & 0.0391898364488726 & 0.0195949182244363 \tabularnewline
255 & 0.97760372368839 & 0.0447925526232193 & 0.0223962763116096 \tabularnewline
256 & 0.969422084747885 & 0.061155830504229 & 0.0305779152521145 \tabularnewline
257 & 0.959559468873848 & 0.080881062252304 & 0.040440531126152 \tabularnewline
258 & 0.944325513128757 & 0.111348973742487 & 0.0556744868712434 \tabularnewline
259 & 0.924403438641943 & 0.151193122716114 & 0.0755965613580571 \tabularnewline
260 & 0.899968683210446 & 0.200062633579108 & 0.100031316789554 \tabularnewline
261 & 0.952900426051348 & 0.0941991478973046 & 0.0470995739486523 \tabularnewline
262 & 0.963021358496357 & 0.073957283007286 & 0.036978641503643 \tabularnewline
263 & 0.94998605978427 & 0.10002788043146 & 0.0500139402157301 \tabularnewline
264 & 0.959989451164197 & 0.0800210976716055 & 0.0400105488358028 \tabularnewline
265 & 0.971332772989139 & 0.0573344540217224 & 0.0286672270108612 \tabularnewline
266 & 0.961884682947122 & 0.076230634105755 & 0.0381153170528775 \tabularnewline
267 & 0.948225604837478 & 0.103548790325044 & 0.0517743951625222 \tabularnewline
268 & 0.93627523338738 & 0.12744953322524 & 0.0637247666126198 \tabularnewline
269 & 0.929116175725485 & 0.141767648549031 & 0.0708838242745154 \tabularnewline
270 & 0.944453615275522 & 0.111092769448956 & 0.055546384724478 \tabularnewline
271 & 0.941929971397578 & 0.116140057204845 & 0.0580700286024225 \tabularnewline
272 & 0.960974420870372 & 0.0780511582592562 & 0.0390255791296281 \tabularnewline
273 & 0.936019147217668 & 0.127961705564664 & 0.0639808527823318 \tabularnewline
274 & 0.898490458412949 & 0.203019083174103 & 0.101509541587052 \tabularnewline
275 & 0.850211251513039 & 0.299577496973922 & 0.149788748486961 \tabularnewline
276 & 0.910148459870836 & 0.179703080258327 & 0.0898515401291637 \tabularnewline
277 & 0.85428965357343 & 0.291420692853139 & 0.14571034642657 \tabularnewline
278 & 0.79166638292559 & 0.416667234148819 & 0.20833361707441 \tabularnewline
279 & 0.679049198948199 & 0.641901602103603 & 0.320950801051801 \tabularnewline
280 & 0.685284547344572 & 0.629430905310855 & 0.314715452655428 \tabularnewline
281 & 0.833981006558142 & 0.332037986883716 & 0.166018993441858 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160037&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]0.59927184418373[/C][C]0.801456311632539[/C][C]0.400728155816269[/C][/ROW]
[ROW][C]9[/C][C]0.485701788242487[/C][C]0.971403576484973[/C][C]0.514298211757513[/C][/ROW]
[ROW][C]10[/C][C]0.350947313781884[/C][C]0.701894627563769[/C][C]0.649052686218116[/C][/ROW]
[ROW][C]11[/C][C]0.235609098892711[/C][C]0.471218197785421[/C][C]0.764390901107289[/C][/ROW]
[ROW][C]12[/C][C]0.264955674025131[/C][C]0.529911348050262[/C][C]0.735044325974869[/C][/ROW]
[ROW][C]13[/C][C]0.204693891216689[/C][C]0.409387782433377[/C][C]0.795306108783311[/C][/ROW]
[ROW][C]14[/C][C]0.136964073920918[/C][C]0.273928147841835[/C][C]0.863035926079082[/C][/ROW]
[ROW][C]15[/C][C]0.112119909188578[/C][C]0.224239818377156[/C][C]0.887880090811422[/C][/ROW]
[ROW][C]16[/C][C]0.363620606726983[/C][C]0.727241213453965[/C][C]0.636379393273017[/C][/ROW]
[ROW][C]17[/C][C]0.312050392366704[/C][C]0.624100784733408[/C][C]0.687949607633296[/C][/ROW]
[ROW][C]18[/C][C]0.283733503688791[/C][C]0.567467007377581[/C][C]0.716266496311209[/C][/ROW]
[ROW][C]19[/C][C]0.77747921611254[/C][C]0.445041567774921[/C][C]0.22252078388746[/C][/ROW]
[ROW][C]20[/C][C]0.743437684188537[/C][C]0.513124631622927[/C][C]0.256562315811463[/C][/ROW]
[ROW][C]21[/C][C]0.746617025928844[/C][C]0.506765948142311[/C][C]0.253382974071156[/C][/ROW]
[ROW][C]22[/C][C]0.687915153904058[/C][C]0.624169692191883[/C][C]0.312084846095942[/C][/ROW]
[ROW][C]23[/C][C]0.6791468150156[/C][C]0.641706369968799[/C][C]0.320853184984399[/C][/ROW]
[ROW][C]24[/C][C]0.67567842080036[/C][C]0.64864315839928[/C][C]0.32432157919964[/C][/ROW]
[ROW][C]25[/C][C]0.844752849201796[/C][C]0.310494301596408[/C][C]0.155247150798204[/C][/ROW]
[ROW][C]26[/C][C]0.827510116712611[/C][C]0.344979766574777[/C][C]0.172489883287389[/C][/ROW]
[ROW][C]27[/C][C]0.824947021079407[/C][C]0.350105957841186[/C][C]0.175052978920593[/C][/ROW]
[ROW][C]28[/C][C]0.797108309878169[/C][C]0.405783380243661[/C][C]0.202891690121831[/C][/ROW]
[ROW][C]29[/C][C]0.795575700458664[/C][C]0.408848599082673[/C][C]0.204424299541336[/C][/ROW]
[ROW][C]30[/C][C]0.79098348133401[/C][C]0.41803303733198[/C][C]0.20901651866599[/C][/ROW]
[ROW][C]31[/C][C]0.74994805325086[/C][C]0.500103893498279[/C][C]0.250051946749139[/C][/ROW]
[ROW][C]32[/C][C]0.743745882132515[/C][C]0.51250823573497[/C][C]0.256254117867485[/C][/ROW]
[ROW][C]33[/C][C]0.734708484441843[/C][C]0.530583031116314[/C][C]0.265291515558157[/C][/ROW]
[ROW][C]34[/C][C]0.74310318885756[/C][C]0.51379362228488[/C][C]0.25689681114244[/C][/ROW]
[ROW][C]35[/C][C]0.783080273802783[/C][C]0.433839452394433[/C][C]0.216919726197217[/C][/ROW]
[ROW][C]36[/C][C]0.76144265475009[/C][C]0.477114690499821[/C][C]0.238557345249911[/C][/ROW]
[ROW][C]37[/C][C]0.744706564010138[/C][C]0.510586871979725[/C][C]0.255293435989862[/C][/ROW]
[ROW][C]38[/C][C]0.705436359174807[/C][C]0.589127281650387[/C][C]0.294563640825193[/C][/ROW]
[ROW][C]39[/C][C]0.678431545438236[/C][C]0.643136909123528[/C][C]0.321568454561764[/C][/ROW]
[ROW][C]40[/C][C]0.691577578419057[/C][C]0.616844843161886[/C][C]0.308422421580943[/C][/ROW]
[ROW][C]41[/C][C]0.699096833861462[/C][C]0.601806332277077[/C][C]0.300903166138538[/C][/ROW]
[ROW][C]42[/C][C]0.65514261403069[/C][C]0.68971477193862[/C][C]0.34485738596931[/C][/ROW]
[ROW][C]43[/C][C]0.61926476647941[/C][C]0.76147046704118[/C][C]0.38073523352059[/C][/ROW]
[ROW][C]44[/C][C]0.60327268600396[/C][C]0.79345462799208[/C][C]0.39672731399604[/C][/ROW]
[ROW][C]45[/C][C]0.557882121103787[/C][C]0.884235757792426[/C][C]0.442117878896213[/C][/ROW]
[ROW][C]46[/C][C]0.542034063625933[/C][C]0.915931872748133[/C][C]0.457965936374067[/C][/ROW]
[ROW][C]47[/C][C]0.547951761698429[/C][C]0.904096476603142[/C][C]0.452048238301571[/C][/ROW]
[ROW][C]48[/C][C]0.50100232173147[/C][C]0.99799535653706[/C][C]0.49899767826853[/C][/ROW]
[ROW][C]49[/C][C]0.454552404055671[/C][C]0.909104808111343[/C][C]0.545447595944329[/C][/ROW]
[ROW][C]50[/C][C]0.99795575073639[/C][C]0.00408849852721986[/C][C]0.00204424926360993[/C][/ROW]
[ROW][C]51[/C][C]0.997249708792005[/C][C]0.00550058241599082[/C][C]0.00275029120799541[/C][/ROW]
[ROW][C]52[/C][C]0.996350446312249[/C][C]0.007299107375502[/C][C]0.003649553687751[/C][/ROW]
[ROW][C]53[/C][C]0.995927921978254[/C][C]0.0081441560434912[/C][C]0.0040720780217456[/C][/ROW]
[ROW][C]54[/C][C]0.99463969874477[/C][C]0.0107206025104625[/C][C]0.00536030125523125[/C][/ROW]
[ROW][C]55[/C][C]0.993299610093837[/C][C]0.0134007798123253[/C][C]0.00670038990616266[/C][/ROW]
[ROW][C]56[/C][C]0.991909460908256[/C][C]0.0161810781834881[/C][C]0.00809053909174407[/C][/ROW]
[ROW][C]57[/C][C]0.98947287700247[/C][C]0.0210542459950598[/C][C]0.0105271229975299[/C][/ROW]
[ROW][C]58[/C][C]0.986994543244388[/C][C]0.0260109135112232[/C][C]0.0130054567556116[/C][/ROW]
[ROW][C]59[/C][C]0.987413669929462[/C][C]0.0251726601410754[/C][C]0.0125863300705377[/C][/ROW]
[ROW][C]60[/C][C]0.983690269878053[/C][C]0.0326194602438944[/C][C]0.0163097301219472[/C][/ROW]
[ROW][C]61[/C][C]0.979172019610869[/C][C]0.041655960778263[/C][C]0.0208279803891315[/C][/ROW]
[ROW][C]62[/C][C]0.981743287426848[/C][C]0.0365134251463044[/C][C]0.0182567125731522[/C][/ROW]
[ROW][C]63[/C][C]0.97840099202221[/C][C]0.0431980159555791[/C][C]0.0215990079777896[/C][/ROW]
[ROW][C]64[/C][C]0.974261185968214[/C][C]0.0514776280635728[/C][C]0.0257388140317864[/C][/ROW]
[ROW][C]65[/C][C]0.97832215470823[/C][C]0.0433556905835417[/C][C]0.0216778452917709[/C][/ROW]
[ROW][C]66[/C][C]0.973729366323926[/C][C]0.0525412673521481[/C][C]0.0262706336760741[/C][/ROW]
[ROW][C]67[/C][C]0.971738881359968[/C][C]0.0565222372800633[/C][C]0.0282611186400317[/C][/ROW]
[ROW][C]68[/C][C]0.965495196400885[/C][C]0.0690096071982307[/C][C]0.0345048035991154[/C][/ROW]
[ROW][C]69[/C][C]0.983913376306147[/C][C]0.032173247387707[/C][C]0.0160866236938535[/C][/ROW]
[ROW][C]70[/C][C]0.993545110384935[/C][C]0.0129097792301303[/C][C]0.00645488961506516[/C][/ROW]
[ROW][C]71[/C][C]0.992763495144037[/C][C]0.0144730097119265[/C][C]0.00723650485596325[/C][/ROW]
[ROW][C]72[/C][C]0.990748319997095[/C][C]0.0185033600058104[/C][C]0.00925168000290521[/C][/ROW]
[ROW][C]73[/C][C]0.98890150649678[/C][C]0.0221969870064407[/C][C]0.0110984935032203[/C][/ROW]
[ROW][C]74[/C][C]0.987720929344406[/C][C]0.0245581413111884[/C][C]0.0122790706555942[/C][/ROW]
[ROW][C]75[/C][C]0.984528389283296[/C][C]0.0309432214334088[/C][C]0.0154716107167044[/C][/ROW]
[ROW][C]76[/C][C]0.981227825855025[/C][C]0.0375443482899509[/C][C]0.0187721741449755[/C][/ROW]
[ROW][C]77[/C][C]0.97644338012671[/C][C]0.047113239746579[/C][C]0.0235566198732895[/C][/ROW]
[ROW][C]78[/C][C]0.977382548242192[/C][C]0.0452349035156169[/C][C]0.0226174517578084[/C][/ROW]
[ROW][C]79[/C][C]0.972640064061787[/C][C]0.0547198718764265[/C][C]0.0273599359382133[/C][/ROW]
[ROW][C]80[/C][C]0.9848782457496[/C][C]0.0302435085008008[/C][C]0.0151217542504004[/C][/ROW]
[ROW][C]81[/C][C]0.98701799812609[/C][C]0.0259640037478212[/C][C]0.0129820018739106[/C][/ROW]
[ROW][C]82[/C][C]0.986123684925737[/C][C]0.0277526301485263[/C][C]0.0138763150742631[/C][/ROW]
[ROW][C]83[/C][C]0.983767293885735[/C][C]0.0324654122285307[/C][C]0.0162327061142653[/C][/ROW]
[ROW][C]84[/C][C]0.981909022717461[/C][C]0.0361819545650772[/C][C]0.0180909772825386[/C][/ROW]
[ROW][C]85[/C][C]0.981975099816465[/C][C]0.0360498003670705[/C][C]0.0180249001835353[/C][/ROW]
[ROW][C]86[/C][C]0.982055243987046[/C][C]0.0358895120259072[/C][C]0.0179447560129536[/C][/ROW]
[ROW][C]87[/C][C]0.977768643391382[/C][C]0.044462713217236[/C][C]0.022231356608618[/C][/ROW]
[ROW][C]88[/C][C]0.973136119158788[/C][C]0.0537277616824247[/C][C]0.0268638808412123[/C][/ROW]
[ROW][C]89[/C][C]0.971406722888568[/C][C]0.0571865542228643[/C][C]0.0285932771114322[/C][/ROW]
[ROW][C]90[/C][C]0.979994491507568[/C][C]0.0400110169848636[/C][C]0.0200055084924318[/C][/ROW]
[ROW][C]91[/C][C]0.99661590611526[/C][C]0.00676818776947932[/C][C]0.00338409388473966[/C][/ROW]
[ROW][C]92[/C][C]0.995598259473857[/C][C]0.00880348105228653[/C][C]0.00440174052614327[/C][/ROW]
[ROW][C]93[/C][C]0.99437495450136[/C][C]0.0112500909972818[/C][C]0.00562504549864092[/C][/ROW]
[ROW][C]94[/C][C]0.994139265381213[/C][C]0.0117214692375743[/C][C]0.00586073461878714[/C][/ROW]
[ROW][C]95[/C][C]0.994308699713125[/C][C]0.0113826005737493[/C][C]0.00569130028687467[/C][/ROW]
[ROW][C]96[/C][C]0.994187628809816[/C][C]0.0116247423803678[/C][C]0.0058123711901839[/C][/ROW]
[ROW][C]97[/C][C]0.998900638944956[/C][C]0.00219872211008843[/C][C]0.00109936105504422[/C][/ROW]
[ROW][C]98[/C][C]0.99858928731052[/C][C]0.00282142537895859[/C][C]0.00141071268947929[/C][/ROW]
[ROW][C]99[/C][C]0.999346523810886[/C][C]0.0013069523782281[/C][C]0.000653476189114051[/C][/ROW]
[ROW][C]100[/C][C]0.999204134690168[/C][C]0.00159173061966441[/C][C]0.000795865309832203[/C][/ROW]
[ROW][C]101[/C][C]0.998936815348966[/C][C]0.0021263693020679[/C][C]0.00106318465103395[/C][/ROW]
[ROW][C]102[/C][C]0.999220056283333[/C][C]0.0015598874333339[/C][C]0.000779943716666948[/C][/ROW]
[ROW][C]103[/C][C]0.999017376280676[/C][C]0.00196524743864841[/C][C]0.000982623719324206[/C][/ROW]
[ROW][C]104[/C][C]0.998955788259795[/C][C]0.00208842348040998[/C][C]0.00104421174020499[/C][/ROW]
[ROW][C]105[/C][C]0.998639866104852[/C][C]0.00272026779029656[/C][C]0.00136013389514828[/C][/ROW]
[ROW][C]106[/C][C]0.999112253988858[/C][C]0.00177549202228436[/C][C]0.00088774601114218[/C][/ROW]
[ROW][C]107[/C][C]0.999751520914426[/C][C]0.000496958171148346[/C][C]0.000248479085574173[/C][/ROW]
[ROW][C]108[/C][C]0.999836651770615[/C][C]0.000326696458770944[/C][C]0.000163348229385472[/C][/ROW]
[ROW][C]109[/C][C]0.999826658441212[/C][C]0.000346683117575402[/C][C]0.000173341558787701[/C][/ROW]
[ROW][C]110[/C][C]0.999792481783149[/C][C]0.000415036433702006[/C][C]0.000207518216851003[/C][/ROW]
[ROW][C]111[/C][C]0.99973747510685[/C][C]0.000525049786300719[/C][C]0.000262524893150359[/C][/ROW]
[ROW][C]112[/C][C]0.999983813867043[/C][C]3.23722659134428e-05[/C][C]1.61861329567214e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999979515572391[/C][C]4.09688552173502e-05[/C][C]2.04844276086751e-05[/C][/ROW]
[ROW][C]114[/C][C]0.999993016125925[/C][C]1.3967748149974e-05[/C][C]6.98387407498702e-06[/C][/ROW]
[ROW][C]115[/C][C]0.999999500150306[/C][C]9.99699387079168e-07[/C][C]4.99849693539584e-07[/C][/ROW]
[ROW][C]116[/C][C]0.99999927461315[/C][C]1.45077370173623e-06[/C][C]7.25386850868116e-07[/C][/ROW]
[ROW][C]117[/C][C]0.999998920826234[/C][C]2.15834753191757e-06[/C][C]1.07917376595878e-06[/C][/ROW]
[ROW][C]118[/C][C]0.999998580066846[/C][C]2.8398663071936e-06[/C][C]1.4199331535968e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999998947675407[/C][C]2.10464918540334e-06[/C][C]1.05232459270167e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999998611121933[/C][C]2.77775613304782e-06[/C][C]1.38887806652391e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999997943690293[/C][C]4.11261941444996e-06[/C][C]2.05630970722498e-06[/C][/ROW]
[ROW][C]122[/C][C]0.999997234414711[/C][C]5.53117057713161e-06[/C][C]2.7655852885658e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999997280312955[/C][C]5.43937408999436e-06[/C][C]2.71968704499718e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999996725625073[/C][C]6.54874985366622e-06[/C][C]3.27437492683311e-06[/C][/ROW]
[ROW][C]125[/C][C]0.999996111621854[/C][C]7.77675629277997e-06[/C][C]3.88837814638998e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999995550149104[/C][C]8.89970179250506e-06[/C][C]4.44985089625253e-06[/C][/ROW]
[ROW][C]127[/C][C]0.99999378570402[/C][C]1.24285919587152e-05[/C][C]6.21429597935758e-06[/C][/ROW]
[ROW][C]128[/C][C]0.99999534518584[/C][C]9.3096283195519e-06[/C][C]4.65481415977594e-06[/C][/ROW]
[ROW][C]129[/C][C]0.999997413097812[/C][C]5.173804375351e-06[/C][C]2.5869021876755e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999996183689945[/C][C]7.63262011018842e-06[/C][C]3.81631005509421e-06[/C][/ROW]
[ROW][C]131[/C][C]0.99999458579129[/C][C]1.0828417421582e-05[/C][C]5.41420871079101e-06[/C][/ROW]
[ROW][C]132[/C][C]0.999994898459815[/C][C]1.02030803706428e-05[/C][C]5.10154018532141e-06[/C][/ROW]
[ROW][C]133[/C][C]0.999992463908882[/C][C]1.50721822364745e-05[/C][C]7.53609111823725e-06[/C][/ROW]
[ROW][C]134[/C][C]0.999990154149714[/C][C]1.96917005727569e-05[/C][C]9.84585028637843e-06[/C][/ROW]
[ROW][C]135[/C][C]0.999986910917403[/C][C]2.61781651932972e-05[/C][C]1.30890825966486e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999991773739077[/C][C]1.64525218454657e-05[/C][C]8.22626092273284e-06[/C][/ROW]
[ROW][C]137[/C][C]0.999988537671641[/C][C]2.29246567172844e-05[/C][C]1.14623283586422e-05[/C][/ROW]
[ROW][C]138[/C][C]0.999991946905325[/C][C]1.61061893508402e-05[/C][C]8.0530946754201e-06[/C][/ROW]
[ROW][C]139[/C][C]0.999990413913093[/C][C]1.91721738132696e-05[/C][C]9.5860869066348e-06[/C][/ROW]
[ROW][C]140[/C][C]0.999989029340872[/C][C]2.19413182556224e-05[/C][C]1.09706591278112e-05[/C][/ROW]
[ROW][C]141[/C][C]0.999984021711535[/C][C]3.19565769294178e-05[/C][C]1.59782884647089e-05[/C][/ROW]
[ROW][C]142[/C][C]0.999977234374272[/C][C]4.55312514568186e-05[/C][C]2.27656257284093e-05[/C][/ROW]
[ROW][C]143[/C][C]0.99996728027847[/C][C]6.54394430586336e-05[/C][C]3.27197215293168e-05[/C][/ROW]
[ROW][C]144[/C][C]0.999962007178363[/C][C]7.59856432738741e-05[/C][C]3.79928216369371e-05[/C][/ROW]
[ROW][C]145[/C][C]0.999960223615613[/C][C]7.9552768774415e-05[/C][C]3.97763843872075e-05[/C][/ROW]
[ROW][C]146[/C][C]0.999956842318984[/C][C]8.6315362032584e-05[/C][C]4.3157681016292e-05[/C][/ROW]
[ROW][C]147[/C][C]0.999939688837593[/C][C]0.000120622324813044[/C][C]6.03111624065221e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999937465374943[/C][C]0.000125069250114864[/C][C]6.25346250574322e-05[/C][/ROW]
[ROW][C]149[/C][C]0.999912261109969[/C][C]0.00017547778006203[/C][C]8.77388900310152e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999924585385054[/C][C]0.000150829229892041[/C][C]7.54146149460205e-05[/C][/ROW]
[ROW][C]151[/C][C]0.999940172621101[/C][C]0.000119654757797042[/C][C]5.98273788985209e-05[/C][/ROW]
[ROW][C]152[/C][C]0.999924595013827[/C][C]0.000150809972346315[/C][C]7.54049861731574e-05[/C][/ROW]
[ROW][C]153[/C][C]0.999896873898152[/C][C]0.000206252203695092[/C][C]0.000103126101847546[/C][/ROW]
[ROW][C]154[/C][C]0.999900183214943[/C][C]0.000199633570113653[/C][C]9.98167850568266e-05[/C][/ROW]
[ROW][C]155[/C][C]0.99986140311727[/C][C]0.000277193765460393[/C][C]0.000138596882730197[/C][/ROW]
[ROW][C]156[/C][C]0.99980730751961[/C][C]0.000385384960779576[/C][C]0.000192692480389788[/C][/ROW]
[ROW][C]157[/C][C]0.999872407465758[/C][C]0.000255185068483641[/C][C]0.000127592534241821[/C][/ROW]
[ROW][C]158[/C][C]0.999824206396786[/C][C]0.000351587206427328[/C][C]0.000175793603213664[/C][/ROW]
[ROW][C]159[/C][C]0.999761031847595[/C][C]0.000477936304809733[/C][C]0.000238968152404866[/C][/ROW]
[ROW][C]160[/C][C]0.999765413854436[/C][C]0.00046917229112795[/C][C]0.000234586145563975[/C][/ROW]
[ROW][C]161[/C][C]0.99974322261134[/C][C]0.000513554777318216[/C][C]0.000256777388659108[/C][/ROW]
[ROW][C]162[/C][C]0.999667138008453[/C][C]0.000665723983094362[/C][C]0.000332861991547181[/C][/ROW]
[ROW][C]163[/C][C]0.999561686942284[/C][C]0.00087662611543249[/C][C]0.000438313057716245[/C][/ROW]
[ROW][C]164[/C][C]0.99950891976189[/C][C]0.00098216047622145[/C][C]0.000491080238110725[/C][/ROW]
[ROW][C]165[/C][C]0.999354425426584[/C][C]0.00129114914683118[/C][C]0.000645574573415588[/C][/ROW]
[ROW][C]166[/C][C]0.999286928118797[/C][C]0.00142614376240535[/C][C]0.000713071881202677[/C][/ROW]
[ROW][C]167[/C][C]0.99907643418834[/C][C]0.00184713162332109[/C][C]0.000923565811660546[/C][/ROW]
[ROW][C]168[/C][C]0.999977718131592[/C][C]4.45637368161823e-05[/C][C]2.22818684080912e-05[/C][/ROW]
[ROW][C]169[/C][C]0.999971600703186[/C][C]5.67985936271975e-05[/C][C]2.83992968135987e-05[/C][/ROW]
[ROW][C]170[/C][C]0.99995979250413[/C][C]8.04149917416726e-05[/C][C]4.02074958708363e-05[/C][/ROW]
[ROW][C]171[/C][C]0.999943643505879[/C][C]0.000112712988242371[/C][C]5.63564941211856e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999922201203896[/C][C]0.000155597592208651[/C][C]7.77987961043253e-05[/C][/ROW]
[ROW][C]173[/C][C]0.99993580254687[/C][C]0.000128394906261249[/C][C]6.41974531306245e-05[/C][/ROW]
[ROW][C]174[/C][C]0.999914057092017[/C][C]0.000171885815966043[/C][C]8.59429079830213e-05[/C][/ROW]
[ROW][C]175[/C][C]0.999949878172632[/C][C]0.000100243654735034[/C][C]5.01218273675172e-05[/C][/ROW]
[ROW][C]176[/C][C]0.999929847702678[/C][C]0.000140304594644187[/C][C]7.01522973220934e-05[/C][/ROW]
[ROW][C]177[/C][C]0.999900178268384[/C][C]0.000199643463232098[/C][C]9.9821731616049e-05[/C][/ROW]
[ROW][C]178[/C][C]0.99986872226624[/C][C]0.000262555467520929[/C][C]0.000131277733760465[/C][/ROW]
[ROW][C]179[/C][C]0.99984378934019[/C][C]0.000312421319620574[/C][C]0.000156210659810287[/C][/ROW]
[ROW][C]180[/C][C]0.99978910326851[/C][C]0.000421793462981813[/C][C]0.000210896731490907[/C][/ROW]
[ROW][C]181[/C][C]0.999724157669455[/C][C]0.000551684661089619[/C][C]0.00027584233054481[/C][/ROW]
[ROW][C]182[/C][C]0.999620606064078[/C][C]0.000758787871844242[/C][C]0.000379393935922121[/C][/ROW]
[ROW][C]183[/C][C]0.999487013790874[/C][C]0.00102597241825185[/C][C]0.000512986209125924[/C][/ROW]
[ROW][C]184[/C][C]0.9995402309792[/C][C]0.000919538041602517[/C][C]0.000459769020801259[/C][/ROW]
[ROW][C]185[/C][C]0.999825945863845[/C][C]0.000348108272310942[/C][C]0.000174054136155471[/C][/ROW]
[ROW][C]186[/C][C]0.999760548096354[/C][C]0.000478903807291977[/C][C]0.000239451903645989[/C][/ROW]
[ROW][C]187[/C][C]0.999665301069042[/C][C]0.000669397861915222[/C][C]0.000334698930957611[/C][/ROW]
[ROW][C]188[/C][C]0.999554770316414[/C][C]0.000890459367170982[/C][C]0.000445229683585491[/C][/ROW]
[ROW][C]189[/C][C]0.999467314700527[/C][C]0.0010653705989459[/C][C]0.000532685299472949[/C][/ROW]
[ROW][C]190[/C][C]0.99997269853214[/C][C]5.4602935719711e-05[/C][C]2.73014678598555e-05[/C][/ROW]
[ROW][C]191[/C][C]0.999995654635388[/C][C]8.69072922383462e-06[/C][C]4.34536461191731e-06[/C][/ROW]
[ROW][C]192[/C][C]0.999993262847204[/C][C]1.34743055924645e-05[/C][C]6.73715279623226e-06[/C][/ROW]
[ROW][C]193[/C][C]0.999989637043587[/C][C]2.07259128263328e-05[/C][C]1.03629564131664e-05[/C][/ROW]
[ROW][C]194[/C][C]0.99998426022475[/C][C]3.1479550500156e-05[/C][C]1.5739775250078e-05[/C][/ROW]
[ROW][C]195[/C][C]0.999987145413296[/C][C]2.57091734086467e-05[/C][C]1.28545867043233e-05[/C][/ROW]
[ROW][C]196[/C][C]0.999981621323741[/C][C]3.67573525170565e-05[/C][C]1.83786762585283e-05[/C][/ROW]
[ROW][C]197[/C][C]0.999982260629798[/C][C]3.54787404041687e-05[/C][C]1.77393702020844e-05[/C][/ROW]
[ROW][C]198[/C][C]0.999974277509912[/C][C]5.14449801754166e-05[/C][C]2.57224900877083e-05[/C][/ROW]
[ROW][C]199[/C][C]0.999967807196038[/C][C]6.43856079248245e-05[/C][C]3.21928039624122e-05[/C][/ROW]
[ROW][C]200[/C][C]0.999960487847172[/C][C]7.90243056564319e-05[/C][C]3.9512152828216e-05[/C][/ROW]
[ROW][C]201[/C][C]0.999940919878186[/C][C]0.000118160243627702[/C][C]5.90801218138511e-05[/C][/ROW]
[ROW][C]202[/C][C]0.999970799496968[/C][C]5.84010060631314e-05[/C][C]2.92005030315657e-05[/C][/ROW]
[ROW][C]203[/C][C]0.999971816029854[/C][C]5.63679402923085e-05[/C][C]2.81839701461542e-05[/C][/ROW]
[ROW][C]204[/C][C]0.999971443162445[/C][C]5.71136751090218e-05[/C][C]2.85568375545109e-05[/C][/ROW]
[ROW][C]205[/C][C]0.999957498041938[/C][C]8.50039161232227e-05[/C][C]4.25019580616114e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999971095749164[/C][C]5.78085016717209e-05[/C][C]2.89042508358604e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999959341645952[/C][C]8.13167080969246e-05[/C][C]4.06583540484623e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999955425963602[/C][C]8.91480727956609e-05[/C][C]4.45740363978304e-05[/C][/ROW]
[ROW][C]209[/C][C]0.99993231261394[/C][C]0.000135374772119457[/C][C]6.76873860597286e-05[/C][/ROW]
[ROW][C]210[/C][C]0.999968934299366[/C][C]6.21314012684979e-05[/C][C]3.10657006342489e-05[/C][/ROW]
[ROW][C]211[/C][C]0.9999533097458[/C][C]9.33805083996566e-05[/C][C]4.66902541998283e-05[/C][/ROW]
[ROW][C]212[/C][C]0.999929945793215[/C][C]0.000140108413569153[/C][C]7.00542067845766e-05[/C][/ROW]
[ROW][C]213[/C][C]0.999893790553818[/C][C]0.000212418892363764[/C][C]0.000106209446181882[/C][/ROW]
[ROW][C]214[/C][C]0.999908128121796[/C][C]0.000183743756407167[/C][C]9.18718782035836e-05[/C][/ROW]
[ROW][C]215[/C][C]0.999875578184581[/C][C]0.00024884363083776[/C][C]0.00012442181541888[/C][/ROW]
[ROW][C]216[/C][C]0.999931432188747[/C][C]0.000137135622506526[/C][C]6.8567811253263e-05[/C][/ROW]
[ROW][C]217[/C][C]0.999907127608637[/C][C]0.000185744782726565[/C][C]9.28723913632824e-05[/C][/ROW]
[ROW][C]218[/C][C]0.999861211731636[/C][C]0.00027757653672745[/C][C]0.000138788268363725[/C][/ROW]
[ROW][C]219[/C][C]0.99979509752564[/C][C]0.000409804948720091[/C][C]0.000204902474360046[/C][/ROW]
[ROW][C]220[/C][C]0.999810213618626[/C][C]0.000379572762748949[/C][C]0.000189786381374475[/C][/ROW]
[ROW][C]221[/C][C]0.999792875603879[/C][C]0.000414248792242381[/C][C]0.00020712439612119[/C][/ROW]
[ROW][C]222[/C][C]0.999777604244915[/C][C]0.000444791510169079[/C][C]0.00022239575508454[/C][/ROW]
[ROW][C]223[/C][C]0.999674810648542[/C][C]0.00065037870291549[/C][C]0.000325189351457745[/C][/ROW]
[ROW][C]224[/C][C]0.999571269502303[/C][C]0.000857460995393239[/C][C]0.000428730497696619[/C][/ROW]
[ROW][C]225[/C][C]0.99936540844288[/C][C]0.0012691831142402[/C][C]0.000634591557120099[/C][/ROW]
[ROW][C]226[/C][C]0.999240564341154[/C][C]0.00151887131769257[/C][C]0.000759435658846287[/C][/ROW]
[ROW][C]227[/C][C]0.999455939223886[/C][C]0.00108812155222788[/C][C]0.00054406077611394[/C][/ROW]
[ROW][C]228[/C][C]0.999295470816663[/C][C]0.00140905836667316[/C][C]0.00070452918333658[/C][/ROW]
[ROW][C]229[/C][C]0.999171334388899[/C][C]0.00165733122220236[/C][C]0.00082866561110118[/C][/ROW]
[ROW][C]230[/C][C]0.99929490851968[/C][C]0.00141018296063993[/C][C]0.000705091480319967[/C][/ROW]
[ROW][C]231[/C][C]0.999028568277869[/C][C]0.00194286344426217[/C][C]0.000971431722131087[/C][/ROW]
[ROW][C]232[/C][C]0.998564229417109[/C][C]0.00287154116578275[/C][C]0.00143577058289138[/C][/ROW]
[ROW][C]233[/C][C]0.99792336680921[/C][C]0.00415326638158095[/C][C]0.00207663319079048[/C][/ROW]
[ROW][C]234[/C][C]0.99732720849176[/C][C]0.00534558301648221[/C][C]0.0026727915082411[/C][/ROW]
[ROW][C]235[/C][C]0.998348744537822[/C][C]0.00330251092435699[/C][C]0.00165125546217849[/C][/ROW]
[ROW][C]236[/C][C]0.997587753463944[/C][C]0.00482449307211285[/C][C]0.00241224653605642[/C][/ROW]
[ROW][C]237[/C][C]0.996863951208958[/C][C]0.00627209758208411[/C][C]0.00313604879104205[/C][/ROW]
[ROW][C]238[/C][C]0.999815268036035[/C][C]0.000369463927929201[/C][C]0.0001847319639646[/C][/ROW]
[ROW][C]239[/C][C]0.99975821037902[/C][C]0.000483579241962604[/C][C]0.000241789620981302[/C][/ROW]
[ROW][C]240[/C][C]0.999626441374056[/C][C]0.00074711725188864[/C][C]0.00037355862594432[/C][/ROW]
[ROW][C]241[/C][C]0.999544960820379[/C][C]0.000910078359242776[/C][C]0.000455039179621388[/C][/ROW]
[ROW][C]242[/C][C]0.999302458531772[/C][C]0.00139508293645579[/C][C]0.000697541468227895[/C][/ROW]
[ROW][C]243[/C][C]0.998972385317251[/C][C]0.00205522936549746[/C][C]0.00102761468274873[/C][/ROW]
[ROW][C]244[/C][C]0.998539181528526[/C][C]0.00292163694294753[/C][C]0.00146081847147377[/C][/ROW]
[ROW][C]245[/C][C]0.997807890317485[/C][C]0.00438421936503098[/C][C]0.00219210968251549[/C][/ROW]
[ROW][C]246[/C][C]0.996955402763968[/C][C]0.00608919447206317[/C][C]0.00304459723603158[/C][/ROW]
[ROW][C]247[/C][C]0.995446572733446[/C][C]0.00910685453310838[/C][C]0.00455342726655419[/C][/ROW]
[ROW][C]248[/C][C]0.99457439012006[/C][C]0.0108512197598819[/C][C]0.00542560987994096[/C][/ROW]
[ROW][C]249[/C][C]0.992749078447472[/C][C]0.014501843105056[/C][C]0.00725092155252799[/C][/ROW]
[ROW][C]250[/C][C]0.991112561072016[/C][C]0.0177748778559675[/C][C]0.00888743892798374[/C][/ROW]
[ROW][C]251[/C][C]0.988640665601588[/C][C]0.0227186687968234[/C][C]0.0113593343984117[/C][/ROW]
[ROW][C]252[/C][C]0.984115702620548[/C][C]0.0317685947589048[/C][C]0.0158842973794524[/C][/ROW]
[ROW][C]253[/C][C]0.977396759877667[/C][C]0.0452064802446666[/C][C]0.0226032401223333[/C][/ROW]
[ROW][C]254[/C][C]0.980405081775564[/C][C]0.0391898364488726[/C][C]0.0195949182244363[/C][/ROW]
[ROW][C]255[/C][C]0.97760372368839[/C][C]0.0447925526232193[/C][C]0.0223962763116096[/C][/ROW]
[ROW][C]256[/C][C]0.969422084747885[/C][C]0.061155830504229[/C][C]0.0305779152521145[/C][/ROW]
[ROW][C]257[/C][C]0.959559468873848[/C][C]0.080881062252304[/C][C]0.040440531126152[/C][/ROW]
[ROW][C]258[/C][C]0.944325513128757[/C][C]0.111348973742487[/C][C]0.0556744868712434[/C][/ROW]
[ROW][C]259[/C][C]0.924403438641943[/C][C]0.151193122716114[/C][C]0.0755965613580571[/C][/ROW]
[ROW][C]260[/C][C]0.899968683210446[/C][C]0.200062633579108[/C][C]0.100031316789554[/C][/ROW]
[ROW][C]261[/C][C]0.952900426051348[/C][C]0.0941991478973046[/C][C]0.0470995739486523[/C][/ROW]
[ROW][C]262[/C][C]0.963021358496357[/C][C]0.073957283007286[/C][C]0.036978641503643[/C][/ROW]
[ROW][C]263[/C][C]0.94998605978427[/C][C]0.10002788043146[/C][C]0.0500139402157301[/C][/ROW]
[ROW][C]264[/C][C]0.959989451164197[/C][C]0.0800210976716055[/C][C]0.0400105488358028[/C][/ROW]
[ROW][C]265[/C][C]0.971332772989139[/C][C]0.0573344540217224[/C][C]0.0286672270108612[/C][/ROW]
[ROW][C]266[/C][C]0.961884682947122[/C][C]0.076230634105755[/C][C]0.0381153170528775[/C][/ROW]
[ROW][C]267[/C][C]0.948225604837478[/C][C]0.103548790325044[/C][C]0.0517743951625222[/C][/ROW]
[ROW][C]268[/C][C]0.93627523338738[/C][C]0.12744953322524[/C][C]0.0637247666126198[/C][/ROW]
[ROW][C]269[/C][C]0.929116175725485[/C][C]0.141767648549031[/C][C]0.0708838242745154[/C][/ROW]
[ROW][C]270[/C][C]0.944453615275522[/C][C]0.111092769448956[/C][C]0.055546384724478[/C][/ROW]
[ROW][C]271[/C][C]0.941929971397578[/C][C]0.116140057204845[/C][C]0.0580700286024225[/C][/ROW]
[ROW][C]272[/C][C]0.960974420870372[/C][C]0.0780511582592562[/C][C]0.0390255791296281[/C][/ROW]
[ROW][C]273[/C][C]0.936019147217668[/C][C]0.127961705564664[/C][C]0.0639808527823318[/C][/ROW]
[ROW][C]274[/C][C]0.898490458412949[/C][C]0.203019083174103[/C][C]0.101509541587052[/C][/ROW]
[ROW][C]275[/C][C]0.850211251513039[/C][C]0.299577496973922[/C][C]0.149788748486961[/C][/ROW]
[ROW][C]276[/C][C]0.910148459870836[/C][C]0.179703080258327[/C][C]0.0898515401291637[/C][/ROW]
[ROW][C]277[/C][C]0.85428965357343[/C][C]0.291420692853139[/C][C]0.14571034642657[/C][/ROW]
[ROW][C]278[/C][C]0.79166638292559[/C][C]0.416667234148819[/C][C]0.20833361707441[/C][/ROW]
[ROW][C]279[/C][C]0.679049198948199[/C][C]0.641901602103603[/C][C]0.320950801051801[/C][/ROW]
[ROW][C]280[/C][C]0.685284547344572[/C][C]0.629430905310855[/C][C]0.314715452655428[/C][/ROW]
[ROW][C]281[/C][C]0.833981006558142[/C][C]0.332037986883716[/C][C]0.166018993441858[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160037&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160037&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
80.599271844183730.8014563116325390.400728155816269
90.4857017882424870.9714035764849730.514298211757513
100.3509473137818840.7018946275637690.649052686218116
110.2356090988927110.4712181977854210.764390901107289
120.2649556740251310.5299113480502620.735044325974869
130.2046938912166890.4093877824333770.795306108783311
140.1369640739209180.2739281478418350.863035926079082
150.1121199091885780.2242398183771560.887880090811422
160.3636206067269830.7272412134539650.636379393273017
170.3120503923667040.6241007847334080.687949607633296
180.2837335036887910.5674670073775810.716266496311209
190.777479216112540.4450415677749210.22252078388746
200.7434376841885370.5131246316229270.256562315811463
210.7466170259288440.5067659481423110.253382974071156
220.6879151539040580.6241696921918830.312084846095942
230.67914681501560.6417063699687990.320853184984399
240.675678420800360.648643158399280.32432157919964
250.8447528492017960.3104943015964080.155247150798204
260.8275101167126110.3449797665747770.172489883287389
270.8249470210794070.3501059578411860.175052978920593
280.7971083098781690.4057833802436610.202891690121831
290.7955757004586640.4088485990826730.204424299541336
300.790983481334010.418033037331980.20901651866599
310.749948053250860.5001038934982790.250051946749139
320.7437458821325150.512508235734970.256254117867485
330.7347084844418430.5305830311163140.265291515558157
340.743103188857560.513793622284880.25689681114244
350.7830802738027830.4338394523944330.216919726197217
360.761442654750090.4771146904998210.238557345249911
370.7447065640101380.5105868719797250.255293435989862
380.7054363591748070.5891272816503870.294563640825193
390.6784315454382360.6431369091235280.321568454561764
400.6915775784190570.6168448431618860.308422421580943
410.6990968338614620.6018063322770770.300903166138538
420.655142614030690.689714771938620.34485738596931
430.619264766479410.761470467041180.38073523352059
440.603272686003960.793454627992080.39672731399604
450.5578821211037870.8842357577924260.442117878896213
460.5420340636259330.9159318727481330.457965936374067
470.5479517616984290.9040964766031420.452048238301571
480.501002321731470.997995356537060.49899767826853
490.4545524040556710.9091048081113430.545447595944329
500.997955750736390.004088498527219860.00204424926360993
510.9972497087920050.005500582415990820.00275029120799541
520.9963504463122490.0072991073755020.003649553687751
530.9959279219782540.00814415604349120.0040720780217456
540.994639698744770.01072060251046250.00536030125523125
550.9932996100938370.01340077981232530.00670038990616266
560.9919094609082560.01618107818348810.00809053909174407
570.989472877002470.02105424599505980.0105271229975299
580.9869945432443880.02601091351122320.0130054567556116
590.9874136699294620.02517266014107540.0125863300705377
600.9836902698780530.03261946024389440.0163097301219472
610.9791720196108690.0416559607782630.0208279803891315
620.9817432874268480.03651342514630440.0182567125731522
630.978400992022210.04319801595557910.0215990079777896
640.9742611859682140.05147762806357280.0257388140317864
650.978322154708230.04335569058354170.0216778452917709
660.9737293663239260.05254126735214810.0262706336760741
670.9717388813599680.05652223728006330.0282611186400317
680.9654951964008850.06900960719823070.0345048035991154
690.9839133763061470.0321732473877070.0160866236938535
700.9935451103849350.01290977923013030.00645488961506516
710.9927634951440370.01447300971192650.00723650485596325
720.9907483199970950.01850336000581040.00925168000290521
730.988901506496780.02219698700644070.0110984935032203
740.9877209293444060.02455814131118840.0122790706555942
750.9845283892832960.03094322143340880.0154716107167044
760.9812278258550250.03754434828995090.0187721741449755
770.976443380126710.0471132397465790.0235566198732895
780.9773825482421920.04523490351561690.0226174517578084
790.9726400640617870.05471987187642650.0273599359382133
800.98487824574960.03024350850080080.0151217542504004
810.987017998126090.02596400374782120.0129820018739106
820.9861236849257370.02775263014852630.0138763150742631
830.9837672938857350.03246541222853070.0162327061142653
840.9819090227174610.03618195456507720.0180909772825386
850.9819750998164650.03604980036707050.0180249001835353
860.9820552439870460.03588951202590720.0179447560129536
870.9777686433913820.0444627132172360.022231356608618
880.9731361191587880.05372776168242470.0268638808412123
890.9714067228885680.05718655422286430.0285932771114322
900.9799944915075680.04001101698486360.0200055084924318
910.996615906115260.006768187769479320.00338409388473966
920.9955982594738570.008803481052286530.00440174052614327
930.994374954501360.01125009099728180.00562504549864092
940.9941392653812130.01172146923757430.00586073461878714
950.9943086997131250.01138260057374930.00569130028687467
960.9941876288098160.01162474238036780.0058123711901839
970.9989006389449560.002198722110088430.00109936105504422
980.998589287310520.002821425378958590.00141071268947929
990.9993465238108860.00130695237822810.000653476189114051
1000.9992041346901680.001591730619664410.000795865309832203
1010.9989368153489660.00212636930206790.00106318465103395
1020.9992200562833330.00155988743333390.000779943716666948
1030.9990173762806760.001965247438648410.000982623719324206
1040.9989557882597950.002088423480409980.00104421174020499
1050.9986398661048520.002720267790296560.00136013389514828
1060.9991122539888580.001775492022284360.00088774601114218
1070.9997515209144260.0004969581711483460.000248479085574173
1080.9998366517706150.0003266964587709440.000163348229385472
1090.9998266584412120.0003466831175754020.000173341558787701
1100.9997924817831490.0004150364337020060.000207518216851003
1110.999737475106850.0005250497863007190.000262524893150359
1120.9999838138670433.23722659134428e-051.61861329567214e-05
1130.9999795155723914.09688552173502e-052.04844276086751e-05
1140.9999930161259251.3967748149974e-056.98387407498702e-06
1150.9999995001503069.99699387079168e-074.99849693539584e-07
1160.999999274613151.45077370173623e-067.25386850868116e-07
1170.9999989208262342.15834753191757e-061.07917376595878e-06
1180.9999985800668462.8398663071936e-061.4199331535968e-06
1190.9999989476754072.10464918540334e-061.05232459270167e-06
1200.9999986111219332.77775613304782e-061.38887806652391e-06
1210.9999979436902934.11261941444996e-062.05630970722498e-06
1220.9999972344147115.53117057713161e-062.7655852885658e-06
1230.9999972803129555.43937408999436e-062.71968704499718e-06
1240.9999967256250736.54874985366622e-063.27437492683311e-06
1250.9999961116218547.77675629277997e-063.88837814638998e-06
1260.9999955501491048.89970179250506e-064.44985089625253e-06
1270.999993785704021.24285919587152e-056.21429597935758e-06
1280.999995345185849.3096283195519e-064.65481415977594e-06
1290.9999974130978125.173804375351e-062.5869021876755e-06
1300.9999961836899457.63262011018842e-063.81631005509421e-06
1310.999994585791291.0828417421582e-055.41420871079101e-06
1320.9999948984598151.02030803706428e-055.10154018532141e-06
1330.9999924639088821.50721822364745e-057.53609111823725e-06
1340.9999901541497141.96917005727569e-059.84585028637843e-06
1350.9999869109174032.61781651932972e-051.30890825966486e-05
1360.9999917737390771.64525218454657e-058.22626092273284e-06
1370.9999885376716412.29246567172844e-051.14623283586422e-05
1380.9999919469053251.61061893508402e-058.0530946754201e-06
1390.9999904139130931.91721738132696e-059.5860869066348e-06
1400.9999890293408722.19413182556224e-051.09706591278112e-05
1410.9999840217115353.19565769294178e-051.59782884647089e-05
1420.9999772343742724.55312514568186e-052.27656257284093e-05
1430.999967280278476.54394430586336e-053.27197215293168e-05
1440.9999620071783637.59856432738741e-053.79928216369371e-05
1450.9999602236156137.9552768774415e-053.97763843872075e-05
1460.9999568423189848.6315362032584e-054.3157681016292e-05
1470.9999396888375930.0001206223248130446.03111624065221e-05
1480.9999374653749430.0001250692501148646.25346250574322e-05
1490.9999122611099690.000175477780062038.77388900310152e-05
1500.9999245853850540.0001508292298920417.54146149460205e-05
1510.9999401726211010.0001196547577970425.98273788985209e-05
1520.9999245950138270.0001508099723463157.54049861731574e-05
1530.9998968738981520.0002062522036950920.000103126101847546
1540.9999001832149430.0001996335701136539.98167850568266e-05
1550.999861403117270.0002771937654603930.000138596882730197
1560.999807307519610.0003853849607795760.000192692480389788
1570.9998724074657580.0002551850684836410.000127592534241821
1580.9998242063967860.0003515872064273280.000175793603213664
1590.9997610318475950.0004779363048097330.000238968152404866
1600.9997654138544360.000469172291127950.000234586145563975
1610.999743222611340.0005135547773182160.000256777388659108
1620.9996671380084530.0006657239830943620.000332861991547181
1630.9995616869422840.000876626115432490.000438313057716245
1640.999508919761890.000982160476221450.000491080238110725
1650.9993544254265840.001291149146831180.000645574573415588
1660.9992869281187970.001426143762405350.000713071881202677
1670.999076434188340.001847131623321090.000923565811660546
1680.9999777181315924.45637368161823e-052.22818684080912e-05
1690.9999716007031865.67985936271975e-052.83992968135987e-05
1700.999959792504138.04149917416726e-054.02074958708363e-05
1710.9999436435058790.0001127129882423715.63564941211856e-05
1720.9999222012038960.0001555975922086517.77987961043253e-05
1730.999935802546870.0001283949062612496.41974531306245e-05
1740.9999140570920170.0001718858159660438.59429079830213e-05
1750.9999498781726320.0001002436547350345.01218273675172e-05
1760.9999298477026780.0001403045946441877.01522973220934e-05
1770.9999001782683840.0001996434632320989.9821731616049e-05
1780.999868722266240.0002625554675209290.000131277733760465
1790.999843789340190.0003124213196205740.000156210659810287
1800.999789103268510.0004217934629818130.000210896731490907
1810.9997241576694550.0005516846610896190.00027584233054481
1820.9996206060640780.0007587878718442420.000379393935922121
1830.9994870137908740.001025972418251850.000512986209125924
1840.99954023097920.0009195380416025170.000459769020801259
1850.9998259458638450.0003481082723109420.000174054136155471
1860.9997605480963540.0004789038072919770.000239451903645989
1870.9996653010690420.0006693978619152220.000334698930957611
1880.9995547703164140.0008904593671709820.000445229683585491
1890.9994673147005270.00106537059894590.000532685299472949
1900.999972698532145.4602935719711e-052.73014678598555e-05
1910.9999956546353888.69072922383462e-064.34536461191731e-06
1920.9999932628472041.34743055924645e-056.73715279623226e-06
1930.9999896370435872.07259128263328e-051.03629564131664e-05
1940.999984260224753.1479550500156e-051.5739775250078e-05
1950.9999871454132962.57091734086467e-051.28545867043233e-05
1960.9999816213237413.67573525170565e-051.83786762585283e-05
1970.9999822606297983.54787404041687e-051.77393702020844e-05
1980.9999742775099125.14449801754166e-052.57224900877083e-05
1990.9999678071960386.43856079248245e-053.21928039624122e-05
2000.9999604878471727.90243056564319e-053.9512152828216e-05
2010.9999409198781860.0001181602436277025.90801218138511e-05
2020.9999707994969685.84010060631314e-052.92005030315657e-05
2030.9999718160298545.63679402923085e-052.81839701461542e-05
2040.9999714431624455.71136751090218e-052.85568375545109e-05
2050.9999574980419388.50039161232227e-054.25019580616114e-05
2060.9999710957491645.78085016717209e-052.89042508358604e-05
2070.9999593416459528.13167080969246e-054.06583540484623e-05
2080.9999554259636028.91480727956609e-054.45740363978304e-05
2090.999932312613940.0001353747721194576.76873860597286e-05
2100.9999689342993666.21314012684979e-053.10657006342489e-05
2110.99995330974589.33805083996566e-054.66902541998283e-05
2120.9999299457932150.0001401084135691537.00542067845766e-05
2130.9998937905538180.0002124188923637640.000106209446181882
2140.9999081281217960.0001837437564071679.18718782035836e-05
2150.9998755781845810.000248843630837760.00012442181541888
2160.9999314321887470.0001371356225065266.8567811253263e-05
2170.9999071276086370.0001857447827265659.28723913632824e-05
2180.9998612117316360.000277576536727450.000138788268363725
2190.999795097525640.0004098049487200910.000204902474360046
2200.9998102136186260.0003795727627489490.000189786381374475
2210.9997928756038790.0004142487922423810.00020712439612119
2220.9997776042449150.0004447915101690790.00022239575508454
2230.9996748106485420.000650378702915490.000325189351457745
2240.9995712695023030.0008574609953932390.000428730497696619
2250.999365408442880.00126918311424020.000634591557120099
2260.9992405643411540.001518871317692570.000759435658846287
2270.9994559392238860.001088121552227880.00054406077611394
2280.9992954708166630.001409058366673160.00070452918333658
2290.9991713343888990.001657331222202360.00082866561110118
2300.999294908519680.001410182960639930.000705091480319967
2310.9990285682778690.001942863444262170.000971431722131087
2320.9985642294171090.002871541165782750.00143577058289138
2330.997923366809210.004153266381580950.00207663319079048
2340.997327208491760.005345583016482210.0026727915082411
2350.9983487445378220.003302510924356990.00165125546217849
2360.9975877534639440.004824493072112850.00241224653605642
2370.9968639512089580.006272097582084110.00313604879104205
2380.9998152680360350.0003694639279292010.0001847319639646
2390.999758210379020.0004835792419626040.000241789620981302
2400.9996264413740560.000747117251888640.00037355862594432
2410.9995449608203790.0009100783592427760.000455039179621388
2420.9993024585317720.001395082936455790.000697541468227895
2430.9989723853172510.002055229365497460.00102761468274873
2440.9985391815285260.002921636942947530.00146081847147377
2450.9978078903174850.004384219365030980.00219210968251549
2460.9969554027639680.006089194472063170.00304459723603158
2470.9954465727334460.009106854533108380.00455342726655419
2480.994574390120060.01085121975988190.00542560987994096
2490.9927490784474720.0145018431050560.00725092155252799
2500.9911125610720160.01777487785596750.00888743892798374
2510.9886406656015880.02271866879682340.0113593343984117
2520.9841157026205480.03176859475890480.0158842973794524
2530.9773967598776670.04520648024466660.0226032401223333
2540.9804050817755640.03918983644887260.0195949182244363
2550.977603723688390.04479255262321930.0223962763116096
2560.9694220847478850.0611558305042290.0305779152521145
2570.9595594688738480.0808810622523040.040440531126152
2580.9443255131287570.1113489737424870.0556744868712434
2590.9244034386419430.1511931227161140.0755965613580571
2600.8999686832104460.2000626335791080.100031316789554
2610.9529004260513480.09419914789730460.0470995739486523
2620.9630213584963570.0739572830072860.036978641503643
2630.949986059784270.100027880431460.0500139402157301
2640.9599894511641970.08002109767160550.0400105488358028
2650.9713327729891390.05733445402172240.0286672270108612
2660.9618846829471220.0762306341057550.0381153170528775
2670.9482256048374780.1035487903250440.0517743951625222
2680.936275233387380.127449533225240.0637247666126198
2690.9291161757254850.1417676485490310.0708838242745154
2700.9444536152755220.1110927694489560.055546384724478
2710.9419299713975780.1161400572048450.0580700286024225
2720.9609744208703720.07805115825925620.0390255791296281
2730.9360191472176680.1279617055646640.0639808527823318
2740.8984904584129490.2030190831741030.101509541587052
2750.8502112515130390.2995774969739220.149788748486961
2760.9101484598708360.1797030802583270.0898515401291637
2770.854289653573430.2914206928531390.14571034642657
2780.791666382925590.4166672341488190.20833361707441
2790.6790491989481990.6419016021036030.320950801051801
2800.6852845473445720.6294309053108550.314715452655428
2810.8339810065581420.3320379868837160.166018993441858






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1570.572992700729927NOK
5% type I error level1990.726277372262774NOK
10% type I error level2140.781021897810219NOK

\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 & 157 & 0.572992700729927 & NOK \tabularnewline
5% type I error level & 199 & 0.726277372262774 & NOK \tabularnewline
10% type I error level & 214 & 0.781021897810219 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160037&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]157[/C][C]0.572992700729927[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]199[/C][C]0.726277372262774[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]214[/C][C]0.781021897810219[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160037&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160037&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1570.572992700729927NOK
5% type I error level1990.726277372262774NOK
10% type I error level2140.781021897810219NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

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