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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 22 Dec 2011 16:55:34 -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/t1324591182pnvridmmfss5xlv.htm/, Retrieved Fri, 03 May 2024 11:10:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160023, Retrieved Fri, 03 May 2024 11:10:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [Multiple Lineair ...] [2011-12-22 21:55:34] [e569a00cc6e8044e6afea1f18dd335a0] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160023&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160023&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160023&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 time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 10.0451369217143 + 0.000107587217688879totsize[t] + 0.0659225248751018totblogs[t] + 0.0475976869333192logins[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
compendiums_reviewed[t] =  +  10.0451369217143 +  0.000107587217688879totsize[t] +  0.0659225248751018totblogs[t] +  0.0475976869333192logins[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160023&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]compendiums_reviewed[t] =  +  10.0451369217143 +  0.000107587217688879totsize[t] +  0.0659225248751018totblogs[t] +  0.0475976869333192logins[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160023&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160023&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 10.0451369217143 + 0.000107587217688879totsize[t] + 0.0659225248751018totblogs[t] + 0.0475976869333192logins[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)10.04513692171430.79704512.60300
totsize0.0001075872176888791.6e-056.554400
totblogs0.06592252487510180.01414.67535e-062e-06
logins0.04759768693331920.0144963.28360.0011530.000576

\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) & 10.0451369217143 & 0.797045 & 12.603 & 0 & 0 \tabularnewline
totsize & 0.000107587217688879 & 1.6e-05 & 6.5544 & 0 & 0 \tabularnewline
totblogs & 0.0659225248751018 & 0.0141 & 4.6753 & 5e-06 & 2e-06 \tabularnewline
logins & 0.0475976869333192 & 0.014496 & 3.2836 & 0.001153 & 0.000576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160023&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]10.0451369217143[/C][C]0.797045[/C][C]12.603[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]totsize[/C][C]0.000107587217688879[/C][C]1.6e-05[/C][C]6.5544[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]totblogs[/C][C]0.0659225248751018[/C][C]0.0141[/C][C]4.6753[/C][C]5e-06[/C][C]2e-06[/C][/ROW]
[ROW][C]logins[/C][C]0.0475976869333192[/C][C]0.014496[/C][C]3.2836[/C][C]0.001153[/C][C]0.000576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160023&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160023&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)10.04513692171430.79704512.60300
totsize0.0001075872176888791.6e-056.554400
totblogs0.06592252487510180.01414.67535e-062e-06
logins0.04759768693331920.0144963.28360.0011530.000576






Multiple Linear Regression - Regression Statistics
Multiple R0.776864471396112
R-squared0.60351840691756
Adjusted R-squared0.599344916464061
F-TEST (value)144.607592527623
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.70652233747613
Sum Squared Residuals12818.5709309739

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.776864471396112 \tabularnewline
R-squared & 0.60351840691756 \tabularnewline
Adjusted R-squared & 0.599344916464061 \tabularnewline
F-TEST (value) & 144.607592527623 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 285 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 6.70652233747613 \tabularnewline
Sum Squared Residuals & 12818.5709309739 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160023&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.776864471396112[/C][/ROW]
[ROW][C]R-squared[/C][C]0.60351840691756[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.599344916464061[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]144.607592527623[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]285[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]6.70652233747613[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]12818.5709309739[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160023&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160023&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 R0.776864471396112
R-squared0.60351840691756
Adjusted R-squared0.599344916464061
F-TEST (value)144.607592527623
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.70652233747613
Sum Squared Residuals12818.5709309739






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13034.3498042350657-4.34980423506572
22828.4906722413348-0.490672241334787
33828.01879174982629.98120825017376
43033.8701776618839-3.8701776618839
52220.03154914931631.9684508506837
62621.11028980086014.88971019913985
72536.7394274801903-11.7394274801903
81813.68524958471994.31475041528014
91116.7336668062037-5.73366680620369
102630.1757646640767-4.17576466407674
112523.02452934714541.97547065285455
123829.53756191981958.46243808018051
134427.089801407614716.9101985923853
143022.83614926744647.16385073255362
154030.1915950361169.808404963884
163424.51818595745659.48181404254347
174736.650704895071510.3492951049285
183036.853944880442-6.85394488044204
193132.6262698686987-1.6262698686987
202331.4189436761022-8.41894367610219
213634.26388833894941.73611166105064
223631.63692493487834.3630750651217
233028.67252700249871.3274729975013
242523.28310221293011.71689778706992
253929.49250828534879.50749171465132
263429.70447236863064.29552763136938
273129.57517535433811.42482464566189
283131.9390648191257-0.9390648191257
293328.45604246832544.54395753167456
302518.68284813047866.31715186952141
313327.94849502281125.05150497718883
323533.18714218287941.8128578171206
334229.066871290718512.9331287092815
344331.557817103937211.4421828960628
353019.92170593928410.078294060716
363335.3090649174615-2.30906491746148
371316.7391586651328-3.73915866513285
383222.45843749352299.54156250647706
393629.34470166584686.65529833415316
40011.0073942103521-11.0073942103521
412824.62504850418983.37495149581023
421417.5198093625811-3.51980936258114
431719.2349954557498-2.23499545574985
443233.8479669077261-1.84796690772615
453027.6985565414292.30144345857104
463524.435905328270210.5640946717298
472023.7256815502748-3.72568155027476
482826.01573750070391.98426249929611
492820.64811645866097.35188354133915
503923.219591464768815.7804085352312
513430.96096435242283.03903564757725
522616.98243376998999.01756623001006
533930.47503558441728.52496441558283
543939.2644623143114-0.264462314311418
553327.29138730810225.70861269189783
562827.48716657214690.512833427853129
57412.2890830274886-8.28908302748855
583944.1225253389334-5.12252533893336
591815.74074214494862.2592578550514
601418.8092996440305-4.80929964403049
612927.86125814832841.13874185167162
624437.49448123854866.50551876145135
632138.7490200136056-17.7490200136056
641616.3652154282005-0.365215428200458
652844.4795398714173-16.4795398714173
663537.3036705437614-2.30367054376136
672825.77268310906782.22731689093221
683839.2755176806209-1.2755176806209
692342.3707112147464-19.3707112147465
703623.006762387038712.9932376129613
713229.3964214177592.603578582241
722930.1265961204671-1.12659612046712
732524.43782700166480.562172998335177
742733.9393026096982-6.93930260969821
753630.50332106230865.49667893769138
762832.3568859919374-4.35688599193743
772326.1913369996579-3.19133699965794
784025.858313779232614.1416862207674
792315.64973371514527.35026628485483
804026.430400644585213.5695993554148
812828.6453089922139-0.645308992213853
823427.44711967490446.55288032509557
833330.3151892797932.684810720207
842832.3974215797261-4.39742157972614
853441.9018863607481-7.90188636074811
863025.05014193069464.9498580693054
873324.18055376925458.81944623074551
882219.75264833173682.24735166826316
893833.52461946046584.47538053953417
902619.71161177058546.28838822941458
913532.16019807448392.83980192551613
92821.1503889777829-13.1503889777829
932415.68683026731598.31316973268412
942928.49352771196350.506472288036475
952018.03414751558451.96585248441548
962930.7019280489769-1.70192804897695
974524.8768780155320.12312198447
983737.5163782296246-0.516378229624567
993322.663055145582910.3369448544171
1003335.1851965890086-2.18519658900863
1012522.35072888396712.64927111603286
1023225.39415275872216.60584724127787
1032932.786376180347-3.78637618034697
1042831.102504568539-3.10250456853903
1052836.6353837029649-8.63538370296487
1063142.7148566409784-11.7148566409784
1075236.458705511504615.5412944884954
1082116.71330312226434.2866968777357
1092448.1012080627157-24.1012080627157
1104132.0227476533288.977252346672
1113338.2526080892952-5.25260808929524
1123224.16500409450217.83499590549785
1131918.64864903154920.351350968450751
1142022.1345757140176-2.13457571401755
1153136.3446093841097-5.34460938410973
1163127.28929592081943.71070407918056
1173230.83755233740821.16244766259179
1181822.349123969524-4.34912396952401
1192336.7682927107698-13.7682927107698
1201719.3100871483904-2.31008714839037
1212021.2833367834878-1.28333678348776
1221216.8544089342885-4.85440893428853
1231721.3184322530095-4.31843225300952
1243032.4511654178485-2.45116541784851
1253131.6693499922905-0.669349992290463
1261015.5007254186461-5.50072541864607
1271319.0513565105163-6.05135651051629
1282223.6231968266337-1.62319682663367
1294232.83125186902379.16874813097626
130111.3719234349343-10.3719234349343
131913.2950056912775-4.29500569127752
1323226.85133268697215.14866731302791
1331115.7880193630377-4.78801936303775
1342519.03852025156935.96147974843071
1353622.24631211242113.753687887579
1363136.6964556294679-5.69645562946792
137011.1623770832719-11.1623770832719
1382428.0250079090464-4.02500790904639
1391317.2360206906819-4.23602069068195
140815.0391726084726-7.0391726084726
1411314.2168054775483-1.21680547754832
1421925.3410319118176-6.34103191181764
1431814.41593839921283.58406160078716
1443329.47089931809373.52910068190631
1454029.690931462228110.3090685377719
1462216.50960470762175.49039529237834
1473825.437504511838712.5624954881613
1482426.9956928194535-2.99569281945348
149813.6620813362334-5.66208133623336
1503524.146226568385110.8537734316149
1514331.868132158500611.1318678414994
1524330.482480540681112.5175194593189
1531419.2846331145129-5.28463311451294
1544133.98733821980287.01266178019716
1553834.2928542917883.70714570821201
1564551.4666673025273-6.46666730252727
1573124.22978842684056.77021157315951
1581316.7281501286585-3.72815012865855
1592820.31134901487.68865098520004
1603137.602800026645-6.602800026645
1614039.99495922150540.00504077849459696
1623024.1795932249795.82040677502099
1631624.9071642848188-8.90716428481884
1643738.6564479489109-1.65644794891089
1653023.3249765074366.67502349256403
1663527.86801105851127.13198894148882
1673226.53881784344715.46118215655291
1682726.91044252709650.0895574729034608
1692020.7077973691196-0.70779736911956
1701826.0933064517652-8.09330645176524
1713131.8710625575149-0.871062557514883
1723137.1689154710126-6.16891547101258
1732118.03896188393852.96103811606155
1743934.1257490742044.87425092579599
1754131.39161733727049.60838266272962
1761317.0301007872295-4.03010078722954
1773236.0527548417584-4.05275484175839
1781815.2548947972822.74510520271798
1793938.73982732140990.260172678590108
1801416.1085428908184-2.10854289081837
181719.3057318893738-12.3057318893738
1821718.9440672612005-1.94406726120048
183011.4987242275632-11.4987242275632
1843026.64125497058773.35874502941228
1853730.8182210326986.18177896730196
186010.8555338915121-10.8555338915121
187512.5188649018566-7.51886490185664
188110.9032803476528-9.90328034765279
1891618.9743343597188-2.97433435971876
1903216.921237019140715.0787629808593
1912423.96537624044490.0346237595550716
1921715.78907956771481.2109204322852
1931117.1600166686976-6.16001666869757
1942416.88826823908797.11173176091208
1952223.8334284210528-1.83342842105277
1961221.2061136928624-9.20611369286236
1971915.59244003588693.40755996411314
1981322.0179353977939-9.01793539779394
1991722.4662928526002-5.4662928526002
2001522.0753978674193-7.07539786741929
2011618.6474706173775-2.64747061737755
2022413.745726882500710.2542731174993
2031519.3527256353021-4.35272563530214
2041719.5303494385861-2.53034943858613
2051816.92756910654431.07243089345565
2062014.0465297545285.953470245472
2071616.4834374213776-0.483437421377643
2081620.0884821309086-4.08848213090856
2091818.6529586277074-0.652958627707376
2102217.04183881223524.95816118776478
211815.9184823063744-7.91848230637438
2121717.8957935699665-0.895793569966527
2131814.94230640849763.05769359150242
2141616.7063329131907-0.706332913190726
2152317.28027703245875.7197229675413
2162213.82416562743698.17583437256313
2171316.2820946456418-3.28209464564179
2181317.3099375561453-4.30993755614531
2191614.87901857742581.12098142257423
2201613.43495140860572.56504859139434
2212017.02873019265632.97126980734369
2222222.2462225289971-0.24622252899707
2231719.8489336894898-2.84893368948976
2241816.78495497866391.2150450213361
2251711.5539569903115.44604300968897
2261220.4125122072182-8.41251220721825
227717.6660382426692-10.6660382426692
2281721.3709817086813-4.37098170868134
2291416.6990525323407-2.69905253234069
2302320.53988022392262.46011977607743
2311711.58561756406575.41438243593428
2321417.3017950150146-3.30179501501461
2331521.2182839434277-6.21828394342765
2341714.45938093668772.54061906331227
2352119.82944712164841.17055287835159
2361817.08078096777430.919219032225683
2371817.2899093126760.710090687323954
2381714.45871072916152.54128927083854
2391715.46076788670781.53923211329218
2401615.52430968814450.475690311855461
2411517.8536703503186-2.85367035031859
2422127.6982411771013-6.69824117710129
2431616.4301019390559-0.430101939055902
2441416.4854559253172-2.48545592531718
2451517.4664902393223-2.46649023932229
2461718.579068971231-1.579068971231
2471521.0512987938781-6.05129879387812
2481516.2724627657359-1.2724627657359
2491018.2479159451429-8.24791594514291
250617.1817264494926-11.1817264494926
2512221.18582336570950.814176634290498
2522120.12273306375140.877266936248618
253111.9106790391305-10.9106790391305
2541817.68076325457390.319236745426075
2551715.7261407837621.27385921623797
256411.7270134535749-7.72701345357487
2571015.0825275640809-5.08252756408087
2581616.3065201603871-0.306520160387072
2591614.13718247259461.86281752740537
260913.7606825976339-4.76068259763394
2611611.69121494934124.3087850506588
2621716.49076968159660.509230318403441
263711.7288643044773-4.72886430447727
2641515.3924383232815-0.392438323281547
2651417.825599212282-3.82559921228196
2661416.4287837470611-2.42878374706111
2671817.48713908991960.512860910080415
2681218.3013453487398-6.3013453487398
2691616.4605117882715-0.460511788271472
2702121.043844943792-0.0438449437919696
2711918.96127598430530.0387240156947436
2721615.87194611830380.128053881696225
273111.3146155507153-10.3146155507153
2741618.2915895225533-2.29158952255332
2751015.1471598726134-5.14715987261344
2761915.31236568531593.6876343146841
2771214.8728946927795-2.87289469277954
278211.8943760898116-9.89437608981163
2791416.7434472573167-2.74344725731666
2801715.39611815688471.60388184311534
2811915.75963309694223.24036690305777
2821421.9982895020727-7.9982895020727
2831117.1174805214695-6.11748052146948
284411.7879398749963-7.78793987499632
2851614.22373502784171.77626497215825
2862016.60153111461443.39846888538557
2871212.8669952700962-0.866995270096162
2881519.7802013864912-4.78020138649118
2891614.19813179479861.80186820520135

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 30 & 34.3498042350657 & -4.34980423506572 \tabularnewline
2 & 28 & 28.4906722413348 & -0.490672241334787 \tabularnewline
3 & 38 & 28.0187917498262 & 9.98120825017376 \tabularnewline
4 & 30 & 33.8701776618839 & -3.8701776618839 \tabularnewline
5 & 22 & 20.0315491493163 & 1.9684508506837 \tabularnewline
6 & 26 & 21.1102898008601 & 4.88971019913985 \tabularnewline
7 & 25 & 36.7394274801903 & -11.7394274801903 \tabularnewline
8 & 18 & 13.6852495847199 & 4.31475041528014 \tabularnewline
9 & 11 & 16.7336668062037 & -5.73366680620369 \tabularnewline
10 & 26 & 30.1757646640767 & -4.17576466407674 \tabularnewline
11 & 25 & 23.0245293471454 & 1.97547065285455 \tabularnewline
12 & 38 & 29.5375619198195 & 8.46243808018051 \tabularnewline
13 & 44 & 27.0898014076147 & 16.9101985923853 \tabularnewline
14 & 30 & 22.8361492674464 & 7.16385073255362 \tabularnewline
15 & 40 & 30.191595036116 & 9.808404963884 \tabularnewline
16 & 34 & 24.5181859574565 & 9.48181404254347 \tabularnewline
17 & 47 & 36.6507048950715 & 10.3492951049285 \tabularnewline
18 & 30 & 36.853944880442 & -6.85394488044204 \tabularnewline
19 & 31 & 32.6262698686987 & -1.6262698686987 \tabularnewline
20 & 23 & 31.4189436761022 & -8.41894367610219 \tabularnewline
21 & 36 & 34.2638883389494 & 1.73611166105064 \tabularnewline
22 & 36 & 31.6369249348783 & 4.3630750651217 \tabularnewline
23 & 30 & 28.6725270024987 & 1.3274729975013 \tabularnewline
24 & 25 & 23.2831022129301 & 1.71689778706992 \tabularnewline
25 & 39 & 29.4925082853487 & 9.50749171465132 \tabularnewline
26 & 34 & 29.7044723686306 & 4.29552763136938 \tabularnewline
27 & 31 & 29.5751753543381 & 1.42482464566189 \tabularnewline
28 & 31 & 31.9390648191257 & -0.9390648191257 \tabularnewline
29 & 33 & 28.4560424683254 & 4.54395753167456 \tabularnewline
30 & 25 & 18.6828481304786 & 6.31715186952141 \tabularnewline
31 & 33 & 27.9484950228112 & 5.05150497718883 \tabularnewline
32 & 35 & 33.1871421828794 & 1.8128578171206 \tabularnewline
33 & 42 & 29.0668712907185 & 12.9331287092815 \tabularnewline
34 & 43 & 31.5578171039372 & 11.4421828960628 \tabularnewline
35 & 30 & 19.921705939284 & 10.078294060716 \tabularnewline
36 & 33 & 35.3090649174615 & -2.30906491746148 \tabularnewline
37 & 13 & 16.7391586651328 & -3.73915866513285 \tabularnewline
38 & 32 & 22.4584374935229 & 9.54156250647706 \tabularnewline
39 & 36 & 29.3447016658468 & 6.65529833415316 \tabularnewline
40 & 0 & 11.0073942103521 & -11.0073942103521 \tabularnewline
41 & 28 & 24.6250485041898 & 3.37495149581023 \tabularnewline
42 & 14 & 17.5198093625811 & -3.51980936258114 \tabularnewline
43 & 17 & 19.2349954557498 & -2.23499545574985 \tabularnewline
44 & 32 & 33.8479669077261 & -1.84796690772615 \tabularnewline
45 & 30 & 27.698556541429 & 2.30144345857104 \tabularnewline
46 & 35 & 24.4359053282702 & 10.5640946717298 \tabularnewline
47 & 20 & 23.7256815502748 & -3.72568155027476 \tabularnewline
48 & 28 & 26.0157375007039 & 1.98426249929611 \tabularnewline
49 & 28 & 20.6481164586609 & 7.35188354133915 \tabularnewline
50 & 39 & 23.2195914647688 & 15.7804085352312 \tabularnewline
51 & 34 & 30.9609643524228 & 3.03903564757725 \tabularnewline
52 & 26 & 16.9824337699899 & 9.01756623001006 \tabularnewline
53 & 39 & 30.4750355844172 & 8.52496441558283 \tabularnewline
54 & 39 & 39.2644623143114 & -0.264462314311418 \tabularnewline
55 & 33 & 27.2913873081022 & 5.70861269189783 \tabularnewline
56 & 28 & 27.4871665721469 & 0.512833427853129 \tabularnewline
57 & 4 & 12.2890830274886 & -8.28908302748855 \tabularnewline
58 & 39 & 44.1225253389334 & -5.12252533893336 \tabularnewline
59 & 18 & 15.7407421449486 & 2.2592578550514 \tabularnewline
60 & 14 & 18.8092996440305 & -4.80929964403049 \tabularnewline
61 & 29 & 27.8612581483284 & 1.13874185167162 \tabularnewline
62 & 44 & 37.4944812385486 & 6.50551876145135 \tabularnewline
63 & 21 & 38.7490200136056 & -17.7490200136056 \tabularnewline
64 & 16 & 16.3652154282005 & -0.365215428200458 \tabularnewline
65 & 28 & 44.4795398714173 & -16.4795398714173 \tabularnewline
66 & 35 & 37.3036705437614 & -2.30367054376136 \tabularnewline
67 & 28 & 25.7726831090678 & 2.22731689093221 \tabularnewline
68 & 38 & 39.2755176806209 & -1.2755176806209 \tabularnewline
69 & 23 & 42.3707112147464 & -19.3707112147465 \tabularnewline
70 & 36 & 23.0067623870387 & 12.9932376129613 \tabularnewline
71 & 32 & 29.396421417759 & 2.603578582241 \tabularnewline
72 & 29 & 30.1265961204671 & -1.12659612046712 \tabularnewline
73 & 25 & 24.4378270016648 & 0.562172998335177 \tabularnewline
74 & 27 & 33.9393026096982 & -6.93930260969821 \tabularnewline
75 & 36 & 30.5033210623086 & 5.49667893769138 \tabularnewline
76 & 28 & 32.3568859919374 & -4.35688599193743 \tabularnewline
77 & 23 & 26.1913369996579 & -3.19133699965794 \tabularnewline
78 & 40 & 25.8583137792326 & 14.1416862207674 \tabularnewline
79 & 23 & 15.6497337151452 & 7.35026628485483 \tabularnewline
80 & 40 & 26.4304006445852 & 13.5695993554148 \tabularnewline
81 & 28 & 28.6453089922139 & -0.645308992213853 \tabularnewline
82 & 34 & 27.4471196749044 & 6.55288032509557 \tabularnewline
83 & 33 & 30.315189279793 & 2.684810720207 \tabularnewline
84 & 28 & 32.3974215797261 & -4.39742157972614 \tabularnewline
85 & 34 & 41.9018863607481 & -7.90188636074811 \tabularnewline
86 & 30 & 25.0501419306946 & 4.9498580693054 \tabularnewline
87 & 33 & 24.1805537692545 & 8.81944623074551 \tabularnewline
88 & 22 & 19.7526483317368 & 2.24735166826316 \tabularnewline
89 & 38 & 33.5246194604658 & 4.47538053953417 \tabularnewline
90 & 26 & 19.7116117705854 & 6.28838822941458 \tabularnewline
91 & 35 & 32.1601980744839 & 2.83980192551613 \tabularnewline
92 & 8 & 21.1503889777829 & -13.1503889777829 \tabularnewline
93 & 24 & 15.6868302673159 & 8.31316973268412 \tabularnewline
94 & 29 & 28.4935277119635 & 0.506472288036475 \tabularnewline
95 & 20 & 18.0341475155845 & 1.96585248441548 \tabularnewline
96 & 29 & 30.7019280489769 & -1.70192804897695 \tabularnewline
97 & 45 & 24.87687801553 & 20.12312198447 \tabularnewline
98 & 37 & 37.5163782296246 & -0.516378229624567 \tabularnewline
99 & 33 & 22.6630551455829 & 10.3369448544171 \tabularnewline
100 & 33 & 35.1851965890086 & -2.18519658900863 \tabularnewline
101 & 25 & 22.3507288839671 & 2.64927111603286 \tabularnewline
102 & 32 & 25.3941527587221 & 6.60584724127787 \tabularnewline
103 & 29 & 32.786376180347 & -3.78637618034697 \tabularnewline
104 & 28 & 31.102504568539 & -3.10250456853903 \tabularnewline
105 & 28 & 36.6353837029649 & -8.63538370296487 \tabularnewline
106 & 31 & 42.7148566409784 & -11.7148566409784 \tabularnewline
107 & 52 & 36.4587055115046 & 15.5412944884954 \tabularnewline
108 & 21 & 16.7133031222643 & 4.2866968777357 \tabularnewline
109 & 24 & 48.1012080627157 & -24.1012080627157 \tabularnewline
110 & 41 & 32.022747653328 & 8.977252346672 \tabularnewline
111 & 33 & 38.2526080892952 & -5.25260808929524 \tabularnewline
112 & 32 & 24.1650040945021 & 7.83499590549785 \tabularnewline
113 & 19 & 18.6486490315492 & 0.351350968450751 \tabularnewline
114 & 20 & 22.1345757140176 & -2.13457571401755 \tabularnewline
115 & 31 & 36.3446093841097 & -5.34460938410973 \tabularnewline
116 & 31 & 27.2892959208194 & 3.71070407918056 \tabularnewline
117 & 32 & 30.8375523374082 & 1.16244766259179 \tabularnewline
118 & 18 & 22.349123969524 & -4.34912396952401 \tabularnewline
119 & 23 & 36.7682927107698 & -13.7682927107698 \tabularnewline
120 & 17 & 19.3100871483904 & -2.31008714839037 \tabularnewline
121 & 20 & 21.2833367834878 & -1.28333678348776 \tabularnewline
122 & 12 & 16.8544089342885 & -4.85440893428853 \tabularnewline
123 & 17 & 21.3184322530095 & -4.31843225300952 \tabularnewline
124 & 30 & 32.4511654178485 & -2.45116541784851 \tabularnewline
125 & 31 & 31.6693499922905 & -0.669349992290463 \tabularnewline
126 & 10 & 15.5007254186461 & -5.50072541864607 \tabularnewline
127 & 13 & 19.0513565105163 & -6.05135651051629 \tabularnewline
128 & 22 & 23.6231968266337 & -1.62319682663367 \tabularnewline
129 & 42 & 32.8312518690237 & 9.16874813097626 \tabularnewline
130 & 1 & 11.3719234349343 & -10.3719234349343 \tabularnewline
131 & 9 & 13.2950056912775 & -4.29500569127752 \tabularnewline
132 & 32 & 26.8513326869721 & 5.14866731302791 \tabularnewline
133 & 11 & 15.7880193630377 & -4.78801936303775 \tabularnewline
134 & 25 & 19.0385202515693 & 5.96147974843071 \tabularnewline
135 & 36 & 22.246312112421 & 13.753687887579 \tabularnewline
136 & 31 & 36.6964556294679 & -5.69645562946792 \tabularnewline
137 & 0 & 11.1623770832719 & -11.1623770832719 \tabularnewline
138 & 24 & 28.0250079090464 & -4.02500790904639 \tabularnewline
139 & 13 & 17.2360206906819 & -4.23602069068195 \tabularnewline
140 & 8 & 15.0391726084726 & -7.0391726084726 \tabularnewline
141 & 13 & 14.2168054775483 & -1.21680547754832 \tabularnewline
142 & 19 & 25.3410319118176 & -6.34103191181764 \tabularnewline
143 & 18 & 14.4159383992128 & 3.58406160078716 \tabularnewline
144 & 33 & 29.4708993180937 & 3.52910068190631 \tabularnewline
145 & 40 & 29.6909314622281 & 10.3090685377719 \tabularnewline
146 & 22 & 16.5096047076217 & 5.49039529237834 \tabularnewline
147 & 38 & 25.4375045118387 & 12.5624954881613 \tabularnewline
148 & 24 & 26.9956928194535 & -2.99569281945348 \tabularnewline
149 & 8 & 13.6620813362334 & -5.66208133623336 \tabularnewline
150 & 35 & 24.1462265683851 & 10.8537734316149 \tabularnewline
151 & 43 & 31.8681321585006 & 11.1318678414994 \tabularnewline
152 & 43 & 30.4824805406811 & 12.5175194593189 \tabularnewline
153 & 14 & 19.2846331145129 & -5.28463311451294 \tabularnewline
154 & 41 & 33.9873382198028 & 7.01266178019716 \tabularnewline
155 & 38 & 34.292854291788 & 3.70714570821201 \tabularnewline
156 & 45 & 51.4666673025273 & -6.46666730252727 \tabularnewline
157 & 31 & 24.2297884268405 & 6.77021157315951 \tabularnewline
158 & 13 & 16.7281501286585 & -3.72815012865855 \tabularnewline
159 & 28 & 20.3113490148 & 7.68865098520004 \tabularnewline
160 & 31 & 37.602800026645 & -6.602800026645 \tabularnewline
161 & 40 & 39.9949592215054 & 0.00504077849459696 \tabularnewline
162 & 30 & 24.179593224979 & 5.82040677502099 \tabularnewline
163 & 16 & 24.9071642848188 & -8.90716428481884 \tabularnewline
164 & 37 & 38.6564479489109 & -1.65644794891089 \tabularnewline
165 & 30 & 23.324976507436 & 6.67502349256403 \tabularnewline
166 & 35 & 27.8680110585112 & 7.13198894148882 \tabularnewline
167 & 32 & 26.5388178434471 & 5.46118215655291 \tabularnewline
168 & 27 & 26.9104425270965 & 0.0895574729034608 \tabularnewline
169 & 20 & 20.7077973691196 & -0.70779736911956 \tabularnewline
170 & 18 & 26.0933064517652 & -8.09330645176524 \tabularnewline
171 & 31 & 31.8710625575149 & -0.871062557514883 \tabularnewline
172 & 31 & 37.1689154710126 & -6.16891547101258 \tabularnewline
173 & 21 & 18.0389618839385 & 2.96103811606155 \tabularnewline
174 & 39 & 34.125749074204 & 4.87425092579599 \tabularnewline
175 & 41 & 31.3916173372704 & 9.60838266272962 \tabularnewline
176 & 13 & 17.0301007872295 & -4.03010078722954 \tabularnewline
177 & 32 & 36.0527548417584 & -4.05275484175839 \tabularnewline
178 & 18 & 15.254894797282 & 2.74510520271798 \tabularnewline
179 & 39 & 38.7398273214099 & 0.260172678590108 \tabularnewline
180 & 14 & 16.1085428908184 & -2.10854289081837 \tabularnewline
181 & 7 & 19.3057318893738 & -12.3057318893738 \tabularnewline
182 & 17 & 18.9440672612005 & -1.94406726120048 \tabularnewline
183 & 0 & 11.4987242275632 & -11.4987242275632 \tabularnewline
184 & 30 & 26.6412549705877 & 3.35874502941228 \tabularnewline
185 & 37 & 30.818221032698 & 6.18177896730196 \tabularnewline
186 & 0 & 10.8555338915121 & -10.8555338915121 \tabularnewline
187 & 5 & 12.5188649018566 & -7.51886490185664 \tabularnewline
188 & 1 & 10.9032803476528 & -9.90328034765279 \tabularnewline
189 & 16 & 18.9743343597188 & -2.97433435971876 \tabularnewline
190 & 32 & 16.9212370191407 & 15.0787629808593 \tabularnewline
191 & 24 & 23.9653762404449 & 0.0346237595550716 \tabularnewline
192 & 17 & 15.7890795677148 & 1.2109204322852 \tabularnewline
193 & 11 & 17.1600166686976 & -6.16001666869757 \tabularnewline
194 & 24 & 16.8882682390879 & 7.11173176091208 \tabularnewline
195 & 22 & 23.8334284210528 & -1.83342842105277 \tabularnewline
196 & 12 & 21.2061136928624 & -9.20611369286236 \tabularnewline
197 & 19 & 15.5924400358869 & 3.40755996411314 \tabularnewline
198 & 13 & 22.0179353977939 & -9.01793539779394 \tabularnewline
199 & 17 & 22.4662928526002 & -5.4662928526002 \tabularnewline
200 & 15 & 22.0753978674193 & -7.07539786741929 \tabularnewline
201 & 16 & 18.6474706173775 & -2.64747061737755 \tabularnewline
202 & 24 & 13.7457268825007 & 10.2542731174993 \tabularnewline
203 & 15 & 19.3527256353021 & -4.35272563530214 \tabularnewline
204 & 17 & 19.5303494385861 & -2.53034943858613 \tabularnewline
205 & 18 & 16.9275691065443 & 1.07243089345565 \tabularnewline
206 & 20 & 14.046529754528 & 5.953470245472 \tabularnewline
207 & 16 & 16.4834374213776 & -0.483437421377643 \tabularnewline
208 & 16 & 20.0884821309086 & -4.08848213090856 \tabularnewline
209 & 18 & 18.6529586277074 & -0.652958627707376 \tabularnewline
210 & 22 & 17.0418388122352 & 4.95816118776478 \tabularnewline
211 & 8 & 15.9184823063744 & -7.91848230637438 \tabularnewline
212 & 17 & 17.8957935699665 & -0.895793569966527 \tabularnewline
213 & 18 & 14.9423064084976 & 3.05769359150242 \tabularnewline
214 & 16 & 16.7063329131907 & -0.706332913190726 \tabularnewline
215 & 23 & 17.2802770324587 & 5.7197229675413 \tabularnewline
216 & 22 & 13.8241656274369 & 8.17583437256313 \tabularnewline
217 & 13 & 16.2820946456418 & -3.28209464564179 \tabularnewline
218 & 13 & 17.3099375561453 & -4.30993755614531 \tabularnewline
219 & 16 & 14.8790185774258 & 1.12098142257423 \tabularnewline
220 & 16 & 13.4349514086057 & 2.56504859139434 \tabularnewline
221 & 20 & 17.0287301926563 & 2.97126980734369 \tabularnewline
222 & 22 & 22.2462225289971 & -0.24622252899707 \tabularnewline
223 & 17 & 19.8489336894898 & -2.84893368948976 \tabularnewline
224 & 18 & 16.7849549786639 & 1.2150450213361 \tabularnewline
225 & 17 & 11.553956990311 & 5.44604300968897 \tabularnewline
226 & 12 & 20.4125122072182 & -8.41251220721825 \tabularnewline
227 & 7 & 17.6660382426692 & -10.6660382426692 \tabularnewline
228 & 17 & 21.3709817086813 & -4.37098170868134 \tabularnewline
229 & 14 & 16.6990525323407 & -2.69905253234069 \tabularnewline
230 & 23 & 20.5398802239226 & 2.46011977607743 \tabularnewline
231 & 17 & 11.5856175640657 & 5.41438243593428 \tabularnewline
232 & 14 & 17.3017950150146 & -3.30179501501461 \tabularnewline
233 & 15 & 21.2182839434277 & -6.21828394342765 \tabularnewline
234 & 17 & 14.4593809366877 & 2.54061906331227 \tabularnewline
235 & 21 & 19.8294471216484 & 1.17055287835159 \tabularnewline
236 & 18 & 17.0807809677743 & 0.919219032225683 \tabularnewline
237 & 18 & 17.289909312676 & 0.710090687323954 \tabularnewline
238 & 17 & 14.4587107291615 & 2.54128927083854 \tabularnewline
239 & 17 & 15.4607678867078 & 1.53923211329218 \tabularnewline
240 & 16 & 15.5243096881445 & 0.475690311855461 \tabularnewline
241 & 15 & 17.8536703503186 & -2.85367035031859 \tabularnewline
242 & 21 & 27.6982411771013 & -6.69824117710129 \tabularnewline
243 & 16 & 16.4301019390559 & -0.430101939055902 \tabularnewline
244 & 14 & 16.4854559253172 & -2.48545592531718 \tabularnewline
245 & 15 & 17.4664902393223 & -2.46649023932229 \tabularnewline
246 & 17 & 18.579068971231 & -1.579068971231 \tabularnewline
247 & 15 & 21.0512987938781 & -6.05129879387812 \tabularnewline
248 & 15 & 16.2724627657359 & -1.2724627657359 \tabularnewline
249 & 10 & 18.2479159451429 & -8.24791594514291 \tabularnewline
250 & 6 & 17.1817264494926 & -11.1817264494926 \tabularnewline
251 & 22 & 21.1858233657095 & 0.814176634290498 \tabularnewline
252 & 21 & 20.1227330637514 & 0.877266936248618 \tabularnewline
253 & 1 & 11.9106790391305 & -10.9106790391305 \tabularnewline
254 & 18 & 17.6807632545739 & 0.319236745426075 \tabularnewline
255 & 17 & 15.726140783762 & 1.27385921623797 \tabularnewline
256 & 4 & 11.7270134535749 & -7.72701345357487 \tabularnewline
257 & 10 & 15.0825275640809 & -5.08252756408087 \tabularnewline
258 & 16 & 16.3065201603871 & -0.306520160387072 \tabularnewline
259 & 16 & 14.1371824725946 & 1.86281752740537 \tabularnewline
260 & 9 & 13.7606825976339 & -4.76068259763394 \tabularnewline
261 & 16 & 11.6912149493412 & 4.3087850506588 \tabularnewline
262 & 17 & 16.4907696815966 & 0.509230318403441 \tabularnewline
263 & 7 & 11.7288643044773 & -4.72886430447727 \tabularnewline
264 & 15 & 15.3924383232815 & -0.392438323281547 \tabularnewline
265 & 14 & 17.825599212282 & -3.82559921228196 \tabularnewline
266 & 14 & 16.4287837470611 & -2.42878374706111 \tabularnewline
267 & 18 & 17.4871390899196 & 0.512860910080415 \tabularnewline
268 & 12 & 18.3013453487398 & -6.3013453487398 \tabularnewline
269 & 16 & 16.4605117882715 & -0.460511788271472 \tabularnewline
270 & 21 & 21.043844943792 & -0.0438449437919696 \tabularnewline
271 & 19 & 18.9612759843053 & 0.0387240156947436 \tabularnewline
272 & 16 & 15.8719461183038 & 0.128053881696225 \tabularnewline
273 & 1 & 11.3146155507153 & -10.3146155507153 \tabularnewline
274 & 16 & 18.2915895225533 & -2.29158952255332 \tabularnewline
275 & 10 & 15.1471598726134 & -5.14715987261344 \tabularnewline
276 & 19 & 15.3123656853159 & 3.6876343146841 \tabularnewline
277 & 12 & 14.8728946927795 & -2.87289469277954 \tabularnewline
278 & 2 & 11.8943760898116 & -9.89437608981163 \tabularnewline
279 & 14 & 16.7434472573167 & -2.74344725731666 \tabularnewline
280 & 17 & 15.3961181568847 & 1.60388184311534 \tabularnewline
281 & 19 & 15.7596330969422 & 3.24036690305777 \tabularnewline
282 & 14 & 21.9982895020727 & -7.9982895020727 \tabularnewline
283 & 11 & 17.1174805214695 & -6.11748052146948 \tabularnewline
284 & 4 & 11.7879398749963 & -7.78793987499632 \tabularnewline
285 & 16 & 14.2237350278417 & 1.77626497215825 \tabularnewline
286 & 20 & 16.6015311146144 & 3.39846888538557 \tabularnewline
287 & 12 & 12.8669952700962 & -0.866995270096162 \tabularnewline
288 & 15 & 19.7802013864912 & -4.78020138649118 \tabularnewline
289 & 16 & 14.1981317947986 & 1.80186820520135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160023&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]30[/C][C]34.3498042350657[/C][C]-4.34980423506572[/C][/ROW]
[ROW][C]2[/C][C]28[/C][C]28.4906722413348[/C][C]-0.490672241334787[/C][/ROW]
[ROW][C]3[/C][C]38[/C][C]28.0187917498262[/C][C]9.98120825017376[/C][/ROW]
[ROW][C]4[/C][C]30[/C][C]33.8701776618839[/C][C]-3.8701776618839[/C][/ROW]
[ROW][C]5[/C][C]22[/C][C]20.0315491493163[/C][C]1.9684508506837[/C][/ROW]
[ROW][C]6[/C][C]26[/C][C]21.1102898008601[/C][C]4.88971019913985[/C][/ROW]
[ROW][C]7[/C][C]25[/C][C]36.7394274801903[/C][C]-11.7394274801903[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]13.6852495847199[/C][C]4.31475041528014[/C][/ROW]
[ROW][C]9[/C][C]11[/C][C]16.7336668062037[/C][C]-5.73366680620369[/C][/ROW]
[ROW][C]10[/C][C]26[/C][C]30.1757646640767[/C][C]-4.17576466407674[/C][/ROW]
[ROW][C]11[/C][C]25[/C][C]23.0245293471454[/C][C]1.97547065285455[/C][/ROW]
[ROW][C]12[/C][C]38[/C][C]29.5375619198195[/C][C]8.46243808018051[/C][/ROW]
[ROW][C]13[/C][C]44[/C][C]27.0898014076147[/C][C]16.9101985923853[/C][/ROW]
[ROW][C]14[/C][C]30[/C][C]22.8361492674464[/C][C]7.16385073255362[/C][/ROW]
[ROW][C]15[/C][C]40[/C][C]30.191595036116[/C][C]9.808404963884[/C][/ROW]
[ROW][C]16[/C][C]34[/C][C]24.5181859574565[/C][C]9.48181404254347[/C][/ROW]
[ROW][C]17[/C][C]47[/C][C]36.6507048950715[/C][C]10.3492951049285[/C][/ROW]
[ROW][C]18[/C][C]30[/C][C]36.853944880442[/C][C]-6.85394488044204[/C][/ROW]
[ROW][C]19[/C][C]31[/C][C]32.6262698686987[/C][C]-1.6262698686987[/C][/ROW]
[ROW][C]20[/C][C]23[/C][C]31.4189436761022[/C][C]-8.41894367610219[/C][/ROW]
[ROW][C]21[/C][C]36[/C][C]34.2638883389494[/C][C]1.73611166105064[/C][/ROW]
[ROW][C]22[/C][C]36[/C][C]31.6369249348783[/C][C]4.3630750651217[/C][/ROW]
[ROW][C]23[/C][C]30[/C][C]28.6725270024987[/C][C]1.3274729975013[/C][/ROW]
[ROW][C]24[/C][C]25[/C][C]23.2831022129301[/C][C]1.71689778706992[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]29.4925082853487[/C][C]9.50749171465132[/C][/ROW]
[ROW][C]26[/C][C]34[/C][C]29.7044723686306[/C][C]4.29552763136938[/C][/ROW]
[ROW][C]27[/C][C]31[/C][C]29.5751753543381[/C][C]1.42482464566189[/C][/ROW]
[ROW][C]28[/C][C]31[/C][C]31.9390648191257[/C][C]-0.9390648191257[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]28.4560424683254[/C][C]4.54395753167456[/C][/ROW]
[ROW][C]30[/C][C]25[/C][C]18.6828481304786[/C][C]6.31715186952141[/C][/ROW]
[ROW][C]31[/C][C]33[/C][C]27.9484950228112[/C][C]5.05150497718883[/C][/ROW]
[ROW][C]32[/C][C]35[/C][C]33.1871421828794[/C][C]1.8128578171206[/C][/ROW]
[ROW][C]33[/C][C]42[/C][C]29.0668712907185[/C][C]12.9331287092815[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]31.5578171039372[/C][C]11.4421828960628[/C][/ROW]
[ROW][C]35[/C][C]30[/C][C]19.921705939284[/C][C]10.078294060716[/C][/ROW]
[ROW][C]36[/C][C]33[/C][C]35.3090649174615[/C][C]-2.30906491746148[/C][/ROW]
[ROW][C]37[/C][C]13[/C][C]16.7391586651328[/C][C]-3.73915866513285[/C][/ROW]
[ROW][C]38[/C][C]32[/C][C]22.4584374935229[/C][C]9.54156250647706[/C][/ROW]
[ROW][C]39[/C][C]36[/C][C]29.3447016658468[/C][C]6.65529833415316[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]11.0073942103521[/C][C]-11.0073942103521[/C][/ROW]
[ROW][C]41[/C][C]28[/C][C]24.6250485041898[/C][C]3.37495149581023[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]17.5198093625811[/C][C]-3.51980936258114[/C][/ROW]
[ROW][C]43[/C][C]17[/C][C]19.2349954557498[/C][C]-2.23499545574985[/C][/ROW]
[ROW][C]44[/C][C]32[/C][C]33.8479669077261[/C][C]-1.84796690772615[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]27.698556541429[/C][C]2.30144345857104[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]24.4359053282702[/C][C]10.5640946717298[/C][/ROW]
[ROW][C]47[/C][C]20[/C][C]23.7256815502748[/C][C]-3.72568155027476[/C][/ROW]
[ROW][C]48[/C][C]28[/C][C]26.0157375007039[/C][C]1.98426249929611[/C][/ROW]
[ROW][C]49[/C][C]28[/C][C]20.6481164586609[/C][C]7.35188354133915[/C][/ROW]
[ROW][C]50[/C][C]39[/C][C]23.2195914647688[/C][C]15.7804085352312[/C][/ROW]
[ROW][C]51[/C][C]34[/C][C]30.9609643524228[/C][C]3.03903564757725[/C][/ROW]
[ROW][C]52[/C][C]26[/C][C]16.9824337699899[/C][C]9.01756623001006[/C][/ROW]
[ROW][C]53[/C][C]39[/C][C]30.4750355844172[/C][C]8.52496441558283[/C][/ROW]
[ROW][C]54[/C][C]39[/C][C]39.2644623143114[/C][C]-0.264462314311418[/C][/ROW]
[ROW][C]55[/C][C]33[/C][C]27.2913873081022[/C][C]5.70861269189783[/C][/ROW]
[ROW][C]56[/C][C]28[/C][C]27.4871665721469[/C][C]0.512833427853129[/C][/ROW]
[ROW][C]57[/C][C]4[/C][C]12.2890830274886[/C][C]-8.28908302748855[/C][/ROW]
[ROW][C]58[/C][C]39[/C][C]44.1225253389334[/C][C]-5.12252533893336[/C][/ROW]
[ROW][C]59[/C][C]18[/C][C]15.7407421449486[/C][C]2.2592578550514[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]18.8092996440305[/C][C]-4.80929964403049[/C][/ROW]
[ROW][C]61[/C][C]29[/C][C]27.8612581483284[/C][C]1.13874185167162[/C][/ROW]
[ROW][C]62[/C][C]44[/C][C]37.4944812385486[/C][C]6.50551876145135[/C][/ROW]
[ROW][C]63[/C][C]21[/C][C]38.7490200136056[/C][C]-17.7490200136056[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]16.3652154282005[/C][C]-0.365215428200458[/C][/ROW]
[ROW][C]65[/C][C]28[/C][C]44.4795398714173[/C][C]-16.4795398714173[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]37.3036705437614[/C][C]-2.30367054376136[/C][/ROW]
[ROW][C]67[/C][C]28[/C][C]25.7726831090678[/C][C]2.22731689093221[/C][/ROW]
[ROW][C]68[/C][C]38[/C][C]39.2755176806209[/C][C]-1.2755176806209[/C][/ROW]
[ROW][C]69[/C][C]23[/C][C]42.3707112147464[/C][C]-19.3707112147465[/C][/ROW]
[ROW][C]70[/C][C]36[/C][C]23.0067623870387[/C][C]12.9932376129613[/C][/ROW]
[ROW][C]71[/C][C]32[/C][C]29.396421417759[/C][C]2.603578582241[/C][/ROW]
[ROW][C]72[/C][C]29[/C][C]30.1265961204671[/C][C]-1.12659612046712[/C][/ROW]
[ROW][C]73[/C][C]25[/C][C]24.4378270016648[/C][C]0.562172998335177[/C][/ROW]
[ROW][C]74[/C][C]27[/C][C]33.9393026096982[/C][C]-6.93930260969821[/C][/ROW]
[ROW][C]75[/C][C]36[/C][C]30.5033210623086[/C][C]5.49667893769138[/C][/ROW]
[ROW][C]76[/C][C]28[/C][C]32.3568859919374[/C][C]-4.35688599193743[/C][/ROW]
[ROW][C]77[/C][C]23[/C][C]26.1913369996579[/C][C]-3.19133699965794[/C][/ROW]
[ROW][C]78[/C][C]40[/C][C]25.8583137792326[/C][C]14.1416862207674[/C][/ROW]
[ROW][C]79[/C][C]23[/C][C]15.6497337151452[/C][C]7.35026628485483[/C][/ROW]
[ROW][C]80[/C][C]40[/C][C]26.4304006445852[/C][C]13.5695993554148[/C][/ROW]
[ROW][C]81[/C][C]28[/C][C]28.6453089922139[/C][C]-0.645308992213853[/C][/ROW]
[ROW][C]82[/C][C]34[/C][C]27.4471196749044[/C][C]6.55288032509557[/C][/ROW]
[ROW][C]83[/C][C]33[/C][C]30.315189279793[/C][C]2.684810720207[/C][/ROW]
[ROW][C]84[/C][C]28[/C][C]32.3974215797261[/C][C]-4.39742157972614[/C][/ROW]
[ROW][C]85[/C][C]34[/C][C]41.9018863607481[/C][C]-7.90188636074811[/C][/ROW]
[ROW][C]86[/C][C]30[/C][C]25.0501419306946[/C][C]4.9498580693054[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]24.1805537692545[/C][C]8.81944623074551[/C][/ROW]
[ROW][C]88[/C][C]22[/C][C]19.7526483317368[/C][C]2.24735166826316[/C][/ROW]
[ROW][C]89[/C][C]38[/C][C]33.5246194604658[/C][C]4.47538053953417[/C][/ROW]
[ROW][C]90[/C][C]26[/C][C]19.7116117705854[/C][C]6.28838822941458[/C][/ROW]
[ROW][C]91[/C][C]35[/C][C]32.1601980744839[/C][C]2.83980192551613[/C][/ROW]
[ROW][C]92[/C][C]8[/C][C]21.1503889777829[/C][C]-13.1503889777829[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]15.6868302673159[/C][C]8.31316973268412[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]28.4935277119635[/C][C]0.506472288036475[/C][/ROW]
[ROW][C]95[/C][C]20[/C][C]18.0341475155845[/C][C]1.96585248441548[/C][/ROW]
[ROW][C]96[/C][C]29[/C][C]30.7019280489769[/C][C]-1.70192804897695[/C][/ROW]
[ROW][C]97[/C][C]45[/C][C]24.87687801553[/C][C]20.12312198447[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]37.5163782296246[/C][C]-0.516378229624567[/C][/ROW]
[ROW][C]99[/C][C]33[/C][C]22.6630551455829[/C][C]10.3369448544171[/C][/ROW]
[ROW][C]100[/C][C]33[/C][C]35.1851965890086[/C][C]-2.18519658900863[/C][/ROW]
[ROW][C]101[/C][C]25[/C][C]22.3507288839671[/C][C]2.64927111603286[/C][/ROW]
[ROW][C]102[/C][C]32[/C][C]25.3941527587221[/C][C]6.60584724127787[/C][/ROW]
[ROW][C]103[/C][C]29[/C][C]32.786376180347[/C][C]-3.78637618034697[/C][/ROW]
[ROW][C]104[/C][C]28[/C][C]31.102504568539[/C][C]-3.10250456853903[/C][/ROW]
[ROW][C]105[/C][C]28[/C][C]36.6353837029649[/C][C]-8.63538370296487[/C][/ROW]
[ROW][C]106[/C][C]31[/C][C]42.7148566409784[/C][C]-11.7148566409784[/C][/ROW]
[ROW][C]107[/C][C]52[/C][C]36.4587055115046[/C][C]15.5412944884954[/C][/ROW]
[ROW][C]108[/C][C]21[/C][C]16.7133031222643[/C][C]4.2866968777357[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]48.1012080627157[/C][C]-24.1012080627157[/C][/ROW]
[ROW][C]110[/C][C]41[/C][C]32.022747653328[/C][C]8.977252346672[/C][/ROW]
[ROW][C]111[/C][C]33[/C][C]38.2526080892952[/C][C]-5.25260808929524[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]24.1650040945021[/C][C]7.83499590549785[/C][/ROW]
[ROW][C]113[/C][C]19[/C][C]18.6486490315492[/C][C]0.351350968450751[/C][/ROW]
[ROW][C]114[/C][C]20[/C][C]22.1345757140176[/C][C]-2.13457571401755[/C][/ROW]
[ROW][C]115[/C][C]31[/C][C]36.3446093841097[/C][C]-5.34460938410973[/C][/ROW]
[ROW][C]116[/C][C]31[/C][C]27.2892959208194[/C][C]3.71070407918056[/C][/ROW]
[ROW][C]117[/C][C]32[/C][C]30.8375523374082[/C][C]1.16244766259179[/C][/ROW]
[ROW][C]118[/C][C]18[/C][C]22.349123969524[/C][C]-4.34912396952401[/C][/ROW]
[ROW][C]119[/C][C]23[/C][C]36.7682927107698[/C][C]-13.7682927107698[/C][/ROW]
[ROW][C]120[/C][C]17[/C][C]19.3100871483904[/C][C]-2.31008714839037[/C][/ROW]
[ROW][C]121[/C][C]20[/C][C]21.2833367834878[/C][C]-1.28333678348776[/C][/ROW]
[ROW][C]122[/C][C]12[/C][C]16.8544089342885[/C][C]-4.85440893428853[/C][/ROW]
[ROW][C]123[/C][C]17[/C][C]21.3184322530095[/C][C]-4.31843225300952[/C][/ROW]
[ROW][C]124[/C][C]30[/C][C]32.4511654178485[/C][C]-2.45116541784851[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]31.6693499922905[/C][C]-0.669349992290463[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]15.5007254186461[/C][C]-5.50072541864607[/C][/ROW]
[ROW][C]127[/C][C]13[/C][C]19.0513565105163[/C][C]-6.05135651051629[/C][/ROW]
[ROW][C]128[/C][C]22[/C][C]23.6231968266337[/C][C]-1.62319682663367[/C][/ROW]
[ROW][C]129[/C][C]42[/C][C]32.8312518690237[/C][C]9.16874813097626[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]11.3719234349343[/C][C]-10.3719234349343[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]13.2950056912775[/C][C]-4.29500569127752[/C][/ROW]
[ROW][C]132[/C][C]32[/C][C]26.8513326869721[/C][C]5.14866731302791[/C][/ROW]
[ROW][C]133[/C][C]11[/C][C]15.7880193630377[/C][C]-4.78801936303775[/C][/ROW]
[ROW][C]134[/C][C]25[/C][C]19.0385202515693[/C][C]5.96147974843071[/C][/ROW]
[ROW][C]135[/C][C]36[/C][C]22.246312112421[/C][C]13.753687887579[/C][/ROW]
[ROW][C]136[/C][C]31[/C][C]36.6964556294679[/C][C]-5.69645562946792[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]11.1623770832719[/C][C]-11.1623770832719[/C][/ROW]
[ROW][C]138[/C][C]24[/C][C]28.0250079090464[/C][C]-4.02500790904639[/C][/ROW]
[ROW][C]139[/C][C]13[/C][C]17.2360206906819[/C][C]-4.23602069068195[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]15.0391726084726[/C][C]-7.0391726084726[/C][/ROW]
[ROW][C]141[/C][C]13[/C][C]14.2168054775483[/C][C]-1.21680547754832[/C][/ROW]
[ROW][C]142[/C][C]19[/C][C]25.3410319118176[/C][C]-6.34103191181764[/C][/ROW]
[ROW][C]143[/C][C]18[/C][C]14.4159383992128[/C][C]3.58406160078716[/C][/ROW]
[ROW][C]144[/C][C]33[/C][C]29.4708993180937[/C][C]3.52910068190631[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]29.6909314622281[/C][C]10.3090685377719[/C][/ROW]
[ROW][C]146[/C][C]22[/C][C]16.5096047076217[/C][C]5.49039529237834[/C][/ROW]
[ROW][C]147[/C][C]38[/C][C]25.4375045118387[/C][C]12.5624954881613[/C][/ROW]
[ROW][C]148[/C][C]24[/C][C]26.9956928194535[/C][C]-2.99569281945348[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]13.6620813362334[/C][C]-5.66208133623336[/C][/ROW]
[ROW][C]150[/C][C]35[/C][C]24.1462265683851[/C][C]10.8537734316149[/C][/ROW]
[ROW][C]151[/C][C]43[/C][C]31.8681321585006[/C][C]11.1318678414994[/C][/ROW]
[ROW][C]152[/C][C]43[/C][C]30.4824805406811[/C][C]12.5175194593189[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]19.2846331145129[/C][C]-5.28463311451294[/C][/ROW]
[ROW][C]154[/C][C]41[/C][C]33.9873382198028[/C][C]7.01266178019716[/C][/ROW]
[ROW][C]155[/C][C]38[/C][C]34.292854291788[/C][C]3.70714570821201[/C][/ROW]
[ROW][C]156[/C][C]45[/C][C]51.4666673025273[/C][C]-6.46666730252727[/C][/ROW]
[ROW][C]157[/C][C]31[/C][C]24.2297884268405[/C][C]6.77021157315951[/C][/ROW]
[ROW][C]158[/C][C]13[/C][C]16.7281501286585[/C][C]-3.72815012865855[/C][/ROW]
[ROW][C]159[/C][C]28[/C][C]20.3113490148[/C][C]7.68865098520004[/C][/ROW]
[ROW][C]160[/C][C]31[/C][C]37.602800026645[/C][C]-6.602800026645[/C][/ROW]
[ROW][C]161[/C][C]40[/C][C]39.9949592215054[/C][C]0.00504077849459696[/C][/ROW]
[ROW][C]162[/C][C]30[/C][C]24.179593224979[/C][C]5.82040677502099[/C][/ROW]
[ROW][C]163[/C][C]16[/C][C]24.9071642848188[/C][C]-8.90716428481884[/C][/ROW]
[ROW][C]164[/C][C]37[/C][C]38.6564479489109[/C][C]-1.65644794891089[/C][/ROW]
[ROW][C]165[/C][C]30[/C][C]23.324976507436[/C][C]6.67502349256403[/C][/ROW]
[ROW][C]166[/C][C]35[/C][C]27.8680110585112[/C][C]7.13198894148882[/C][/ROW]
[ROW][C]167[/C][C]32[/C][C]26.5388178434471[/C][C]5.46118215655291[/C][/ROW]
[ROW][C]168[/C][C]27[/C][C]26.9104425270965[/C][C]0.0895574729034608[/C][/ROW]
[ROW][C]169[/C][C]20[/C][C]20.7077973691196[/C][C]-0.70779736911956[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]26.0933064517652[/C][C]-8.09330645176524[/C][/ROW]
[ROW][C]171[/C][C]31[/C][C]31.8710625575149[/C][C]-0.871062557514883[/C][/ROW]
[ROW][C]172[/C][C]31[/C][C]37.1689154710126[/C][C]-6.16891547101258[/C][/ROW]
[ROW][C]173[/C][C]21[/C][C]18.0389618839385[/C][C]2.96103811606155[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]34.125749074204[/C][C]4.87425092579599[/C][/ROW]
[ROW][C]175[/C][C]41[/C][C]31.3916173372704[/C][C]9.60838266272962[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]17.0301007872295[/C][C]-4.03010078722954[/C][/ROW]
[ROW][C]177[/C][C]32[/C][C]36.0527548417584[/C][C]-4.05275484175839[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]15.254894797282[/C][C]2.74510520271798[/C][/ROW]
[ROW][C]179[/C][C]39[/C][C]38.7398273214099[/C][C]0.260172678590108[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]16.1085428908184[/C][C]-2.10854289081837[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]19.3057318893738[/C][C]-12.3057318893738[/C][/ROW]
[ROW][C]182[/C][C]17[/C][C]18.9440672612005[/C][C]-1.94406726120048[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]11.4987242275632[/C][C]-11.4987242275632[/C][/ROW]
[ROW][C]184[/C][C]30[/C][C]26.6412549705877[/C][C]3.35874502941228[/C][/ROW]
[ROW][C]185[/C][C]37[/C][C]30.818221032698[/C][C]6.18177896730196[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]10.8555338915121[/C][C]-10.8555338915121[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]12.5188649018566[/C][C]-7.51886490185664[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]10.9032803476528[/C][C]-9.90328034765279[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]18.9743343597188[/C][C]-2.97433435971876[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]16.9212370191407[/C][C]15.0787629808593[/C][/ROW]
[ROW][C]191[/C][C]24[/C][C]23.9653762404449[/C][C]0.0346237595550716[/C][/ROW]
[ROW][C]192[/C][C]17[/C][C]15.7890795677148[/C][C]1.2109204322852[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]17.1600166686976[/C][C]-6.16001666869757[/C][/ROW]
[ROW][C]194[/C][C]24[/C][C]16.8882682390879[/C][C]7.11173176091208[/C][/ROW]
[ROW][C]195[/C][C]22[/C][C]23.8334284210528[/C][C]-1.83342842105277[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]21.2061136928624[/C][C]-9.20611369286236[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]15.5924400358869[/C][C]3.40755996411314[/C][/ROW]
[ROW][C]198[/C][C]13[/C][C]22.0179353977939[/C][C]-9.01793539779394[/C][/ROW]
[ROW][C]199[/C][C]17[/C][C]22.4662928526002[/C][C]-5.4662928526002[/C][/ROW]
[ROW][C]200[/C][C]15[/C][C]22.0753978674193[/C][C]-7.07539786741929[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]18.6474706173775[/C][C]-2.64747061737755[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]13.7457268825007[/C][C]10.2542731174993[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]19.3527256353021[/C][C]-4.35272563530214[/C][/ROW]
[ROW][C]204[/C][C]17[/C][C]19.5303494385861[/C][C]-2.53034943858613[/C][/ROW]
[ROW][C]205[/C][C]18[/C][C]16.9275691065443[/C][C]1.07243089345565[/C][/ROW]
[ROW][C]206[/C][C]20[/C][C]14.046529754528[/C][C]5.953470245472[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]16.4834374213776[/C][C]-0.483437421377643[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]20.0884821309086[/C][C]-4.08848213090856[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]18.6529586277074[/C][C]-0.652958627707376[/C][/ROW]
[ROW][C]210[/C][C]22[/C][C]17.0418388122352[/C][C]4.95816118776478[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]15.9184823063744[/C][C]-7.91848230637438[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]17.8957935699665[/C][C]-0.895793569966527[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.9423064084976[/C][C]3.05769359150242[/C][/ROW]
[ROW][C]214[/C][C]16[/C][C]16.7063329131907[/C][C]-0.706332913190726[/C][/ROW]
[ROW][C]215[/C][C]23[/C][C]17.2802770324587[/C][C]5.7197229675413[/C][/ROW]
[ROW][C]216[/C][C]22[/C][C]13.8241656274369[/C][C]8.17583437256313[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]16.2820946456418[/C][C]-3.28209464564179[/C][/ROW]
[ROW][C]218[/C][C]13[/C][C]17.3099375561453[/C][C]-4.30993755614531[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]14.8790185774258[/C][C]1.12098142257423[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]13.4349514086057[/C][C]2.56504859139434[/C][/ROW]
[ROW][C]221[/C][C]20[/C][C]17.0287301926563[/C][C]2.97126980734369[/C][/ROW]
[ROW][C]222[/C][C]22[/C][C]22.2462225289971[/C][C]-0.24622252899707[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]19.8489336894898[/C][C]-2.84893368948976[/C][/ROW]
[ROW][C]224[/C][C]18[/C][C]16.7849549786639[/C][C]1.2150450213361[/C][/ROW]
[ROW][C]225[/C][C]17[/C][C]11.553956990311[/C][C]5.44604300968897[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]20.4125122072182[/C][C]-8.41251220721825[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]17.6660382426692[/C][C]-10.6660382426692[/C][/ROW]
[ROW][C]228[/C][C]17[/C][C]21.3709817086813[/C][C]-4.37098170868134[/C][/ROW]
[ROW][C]229[/C][C]14[/C][C]16.6990525323407[/C][C]-2.69905253234069[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]20.5398802239226[/C][C]2.46011977607743[/C][/ROW]
[ROW][C]231[/C][C]17[/C][C]11.5856175640657[/C][C]5.41438243593428[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]17.3017950150146[/C][C]-3.30179501501461[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]21.2182839434277[/C][C]-6.21828394342765[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]14.4593809366877[/C][C]2.54061906331227[/C][/ROW]
[ROW][C]235[/C][C]21[/C][C]19.8294471216484[/C][C]1.17055287835159[/C][/ROW]
[ROW][C]236[/C][C]18[/C][C]17.0807809677743[/C][C]0.919219032225683[/C][/ROW]
[ROW][C]237[/C][C]18[/C][C]17.289909312676[/C][C]0.710090687323954[/C][/ROW]
[ROW][C]238[/C][C]17[/C][C]14.4587107291615[/C][C]2.54128927083854[/C][/ROW]
[ROW][C]239[/C][C]17[/C][C]15.4607678867078[/C][C]1.53923211329218[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]15.5243096881445[/C][C]0.475690311855461[/C][/ROW]
[ROW][C]241[/C][C]15[/C][C]17.8536703503186[/C][C]-2.85367035031859[/C][/ROW]
[ROW][C]242[/C][C]21[/C][C]27.6982411771013[/C][C]-6.69824117710129[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]16.4301019390559[/C][C]-0.430101939055902[/C][/ROW]
[ROW][C]244[/C][C]14[/C][C]16.4854559253172[/C][C]-2.48545592531718[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]17.4664902393223[/C][C]-2.46649023932229[/C][/ROW]
[ROW][C]246[/C][C]17[/C][C]18.579068971231[/C][C]-1.579068971231[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]21.0512987938781[/C][C]-6.05129879387812[/C][/ROW]
[ROW][C]248[/C][C]15[/C][C]16.2724627657359[/C][C]-1.2724627657359[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]18.2479159451429[/C][C]-8.24791594514291[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]17.1817264494926[/C][C]-11.1817264494926[/C][/ROW]
[ROW][C]251[/C][C]22[/C][C]21.1858233657095[/C][C]0.814176634290498[/C][/ROW]
[ROW][C]252[/C][C]21[/C][C]20.1227330637514[/C][C]0.877266936248618[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]11.9106790391305[/C][C]-10.9106790391305[/C][/ROW]
[ROW][C]254[/C][C]18[/C][C]17.6807632545739[/C][C]0.319236745426075[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]15.726140783762[/C][C]1.27385921623797[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]11.7270134535749[/C][C]-7.72701345357487[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]15.0825275640809[/C][C]-5.08252756408087[/C][/ROW]
[ROW][C]258[/C][C]16[/C][C]16.3065201603871[/C][C]-0.306520160387072[/C][/ROW]
[ROW][C]259[/C][C]16[/C][C]14.1371824725946[/C][C]1.86281752740537[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]13.7606825976339[/C][C]-4.76068259763394[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]11.6912149493412[/C][C]4.3087850506588[/C][/ROW]
[ROW][C]262[/C][C]17[/C][C]16.4907696815966[/C][C]0.509230318403441[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]11.7288643044773[/C][C]-4.72886430447727[/C][/ROW]
[ROW][C]264[/C][C]15[/C][C]15.3924383232815[/C][C]-0.392438323281547[/C][/ROW]
[ROW][C]265[/C][C]14[/C][C]17.825599212282[/C][C]-3.82559921228196[/C][/ROW]
[ROW][C]266[/C][C]14[/C][C]16.4287837470611[/C][C]-2.42878374706111[/C][/ROW]
[ROW][C]267[/C][C]18[/C][C]17.4871390899196[/C][C]0.512860910080415[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]18.3013453487398[/C][C]-6.3013453487398[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]16.4605117882715[/C][C]-0.460511788271472[/C][/ROW]
[ROW][C]270[/C][C]21[/C][C]21.043844943792[/C][C]-0.0438449437919696[/C][/ROW]
[ROW][C]271[/C][C]19[/C][C]18.9612759843053[/C][C]0.0387240156947436[/C][/ROW]
[ROW][C]272[/C][C]16[/C][C]15.8719461183038[/C][C]0.128053881696225[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]11.3146155507153[/C][C]-10.3146155507153[/C][/ROW]
[ROW][C]274[/C][C]16[/C][C]18.2915895225533[/C][C]-2.29158952255332[/C][/ROW]
[ROW][C]275[/C][C]10[/C][C]15.1471598726134[/C][C]-5.14715987261344[/C][/ROW]
[ROW][C]276[/C][C]19[/C][C]15.3123656853159[/C][C]3.6876343146841[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]14.8728946927795[/C][C]-2.87289469277954[/C][/ROW]
[ROW][C]278[/C][C]2[/C][C]11.8943760898116[/C][C]-9.89437608981163[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]16.7434472573167[/C][C]-2.74344725731666[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]15.3961181568847[/C][C]1.60388184311534[/C][/ROW]
[ROW][C]281[/C][C]19[/C][C]15.7596330969422[/C][C]3.24036690305777[/C][/ROW]
[ROW][C]282[/C][C]14[/C][C]21.9982895020727[/C][C]-7.9982895020727[/C][/ROW]
[ROW][C]283[/C][C]11[/C][C]17.1174805214695[/C][C]-6.11748052146948[/C][/ROW]
[ROW][C]284[/C][C]4[/C][C]11.7879398749963[/C][C]-7.78793987499632[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]14.2237350278417[/C][C]1.77626497215825[/C][/ROW]
[ROW][C]286[/C][C]20[/C][C]16.6015311146144[/C][C]3.39846888538557[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]12.8669952700962[/C][C]-0.866995270096162[/C][/ROW]
[ROW][C]288[/C][C]15[/C][C]19.7802013864912[/C][C]-4.78020138649118[/C][/ROW]
[ROW][C]289[/C][C]16[/C][C]14.1981317947986[/C][C]1.80186820520135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160023&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160023&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
13034.3498042350657-4.34980423506572
22828.4906722413348-0.490672241334787
33828.01879174982629.98120825017376
43033.8701776618839-3.8701776618839
52220.03154914931631.9684508506837
62621.11028980086014.88971019913985
72536.7394274801903-11.7394274801903
81813.68524958471994.31475041528014
91116.7336668062037-5.73366680620369
102630.1757646640767-4.17576466407674
112523.02452934714541.97547065285455
123829.53756191981958.46243808018051
134427.089801407614716.9101985923853
143022.83614926744647.16385073255362
154030.1915950361169.808404963884
163424.51818595745659.48181404254347
174736.650704895071510.3492951049285
183036.853944880442-6.85394488044204
193132.6262698686987-1.6262698686987
202331.4189436761022-8.41894367610219
213634.26388833894941.73611166105064
223631.63692493487834.3630750651217
233028.67252700249871.3274729975013
242523.28310221293011.71689778706992
253929.49250828534879.50749171465132
263429.70447236863064.29552763136938
273129.57517535433811.42482464566189
283131.9390648191257-0.9390648191257
293328.45604246832544.54395753167456
302518.68284813047866.31715186952141
313327.94849502281125.05150497718883
323533.18714218287941.8128578171206
334229.066871290718512.9331287092815
344331.557817103937211.4421828960628
353019.92170593928410.078294060716
363335.3090649174615-2.30906491746148
371316.7391586651328-3.73915866513285
383222.45843749352299.54156250647706
393629.34470166584686.65529833415316
40011.0073942103521-11.0073942103521
412824.62504850418983.37495149581023
421417.5198093625811-3.51980936258114
431719.2349954557498-2.23499545574985
443233.8479669077261-1.84796690772615
453027.6985565414292.30144345857104
463524.435905328270210.5640946717298
472023.7256815502748-3.72568155027476
482826.01573750070391.98426249929611
492820.64811645866097.35188354133915
503923.219591464768815.7804085352312
513430.96096435242283.03903564757725
522616.98243376998999.01756623001006
533930.47503558441728.52496441558283
543939.2644623143114-0.264462314311418
553327.29138730810225.70861269189783
562827.48716657214690.512833427853129
57412.2890830274886-8.28908302748855
583944.1225253389334-5.12252533893336
591815.74074214494862.2592578550514
601418.8092996440305-4.80929964403049
612927.86125814832841.13874185167162
624437.49448123854866.50551876145135
632138.7490200136056-17.7490200136056
641616.3652154282005-0.365215428200458
652844.4795398714173-16.4795398714173
663537.3036705437614-2.30367054376136
672825.77268310906782.22731689093221
683839.2755176806209-1.2755176806209
692342.3707112147464-19.3707112147465
703623.006762387038712.9932376129613
713229.3964214177592.603578582241
722930.1265961204671-1.12659612046712
732524.43782700166480.562172998335177
742733.9393026096982-6.93930260969821
753630.50332106230865.49667893769138
762832.3568859919374-4.35688599193743
772326.1913369996579-3.19133699965794
784025.858313779232614.1416862207674
792315.64973371514527.35026628485483
804026.430400644585213.5695993554148
812828.6453089922139-0.645308992213853
823427.44711967490446.55288032509557
833330.3151892797932.684810720207
842832.3974215797261-4.39742157972614
853441.9018863607481-7.90188636074811
863025.05014193069464.9498580693054
873324.18055376925458.81944623074551
882219.75264833173682.24735166826316
893833.52461946046584.47538053953417
902619.71161177058546.28838822941458
913532.16019807448392.83980192551613
92821.1503889777829-13.1503889777829
932415.68683026731598.31316973268412
942928.49352771196350.506472288036475
952018.03414751558451.96585248441548
962930.7019280489769-1.70192804897695
974524.8768780155320.12312198447
983737.5163782296246-0.516378229624567
993322.663055145582910.3369448544171
1003335.1851965890086-2.18519658900863
1012522.35072888396712.64927111603286
1023225.39415275872216.60584724127787
1032932.786376180347-3.78637618034697
1042831.102504568539-3.10250456853903
1052836.6353837029649-8.63538370296487
1063142.7148566409784-11.7148566409784
1075236.458705511504615.5412944884954
1082116.71330312226434.2866968777357
1092448.1012080627157-24.1012080627157
1104132.0227476533288.977252346672
1113338.2526080892952-5.25260808929524
1123224.16500409450217.83499590549785
1131918.64864903154920.351350968450751
1142022.1345757140176-2.13457571401755
1153136.3446093841097-5.34460938410973
1163127.28929592081943.71070407918056
1173230.83755233740821.16244766259179
1181822.349123969524-4.34912396952401
1192336.7682927107698-13.7682927107698
1201719.3100871483904-2.31008714839037
1212021.2833367834878-1.28333678348776
1221216.8544089342885-4.85440893428853
1231721.3184322530095-4.31843225300952
1243032.4511654178485-2.45116541784851
1253131.6693499922905-0.669349992290463
1261015.5007254186461-5.50072541864607
1271319.0513565105163-6.05135651051629
1282223.6231968266337-1.62319682663367
1294232.83125186902379.16874813097626
130111.3719234349343-10.3719234349343
131913.2950056912775-4.29500569127752
1323226.85133268697215.14866731302791
1331115.7880193630377-4.78801936303775
1342519.03852025156935.96147974843071
1353622.24631211242113.753687887579
1363136.6964556294679-5.69645562946792
137011.1623770832719-11.1623770832719
1382428.0250079090464-4.02500790904639
1391317.2360206906819-4.23602069068195
140815.0391726084726-7.0391726084726
1411314.2168054775483-1.21680547754832
1421925.3410319118176-6.34103191181764
1431814.41593839921283.58406160078716
1443329.47089931809373.52910068190631
1454029.690931462228110.3090685377719
1462216.50960470762175.49039529237834
1473825.437504511838712.5624954881613
1482426.9956928194535-2.99569281945348
149813.6620813362334-5.66208133623336
1503524.146226568385110.8537734316149
1514331.868132158500611.1318678414994
1524330.482480540681112.5175194593189
1531419.2846331145129-5.28463311451294
1544133.98733821980287.01266178019716
1553834.2928542917883.70714570821201
1564551.4666673025273-6.46666730252727
1573124.22978842684056.77021157315951
1581316.7281501286585-3.72815012865855
1592820.31134901487.68865098520004
1603137.602800026645-6.602800026645
1614039.99495922150540.00504077849459696
1623024.1795932249795.82040677502099
1631624.9071642848188-8.90716428481884
1643738.6564479489109-1.65644794891089
1653023.3249765074366.67502349256403
1663527.86801105851127.13198894148882
1673226.53881784344715.46118215655291
1682726.91044252709650.0895574729034608
1692020.7077973691196-0.70779736911956
1701826.0933064517652-8.09330645176524
1713131.8710625575149-0.871062557514883
1723137.1689154710126-6.16891547101258
1732118.03896188393852.96103811606155
1743934.1257490742044.87425092579599
1754131.39161733727049.60838266272962
1761317.0301007872295-4.03010078722954
1773236.0527548417584-4.05275484175839
1781815.2548947972822.74510520271798
1793938.73982732140990.260172678590108
1801416.1085428908184-2.10854289081837
181719.3057318893738-12.3057318893738
1821718.9440672612005-1.94406726120048
183011.4987242275632-11.4987242275632
1843026.64125497058773.35874502941228
1853730.8182210326986.18177896730196
186010.8555338915121-10.8555338915121
187512.5188649018566-7.51886490185664
188110.9032803476528-9.90328034765279
1891618.9743343597188-2.97433435971876
1903216.921237019140715.0787629808593
1912423.96537624044490.0346237595550716
1921715.78907956771481.2109204322852
1931117.1600166686976-6.16001666869757
1942416.88826823908797.11173176091208
1952223.8334284210528-1.83342842105277
1961221.2061136928624-9.20611369286236
1971915.59244003588693.40755996411314
1981322.0179353977939-9.01793539779394
1991722.4662928526002-5.4662928526002
2001522.0753978674193-7.07539786741929
2011618.6474706173775-2.64747061737755
2022413.745726882500710.2542731174993
2031519.3527256353021-4.35272563530214
2041719.5303494385861-2.53034943858613
2051816.92756910654431.07243089345565
2062014.0465297545285.953470245472
2071616.4834374213776-0.483437421377643
2081620.0884821309086-4.08848213090856
2091818.6529586277074-0.652958627707376
2102217.04183881223524.95816118776478
211815.9184823063744-7.91848230637438
2121717.8957935699665-0.895793569966527
2131814.94230640849763.05769359150242
2141616.7063329131907-0.706332913190726
2152317.28027703245875.7197229675413
2162213.82416562743698.17583437256313
2171316.2820946456418-3.28209464564179
2181317.3099375561453-4.30993755614531
2191614.87901857742581.12098142257423
2201613.43495140860572.56504859139434
2212017.02873019265632.97126980734369
2222222.2462225289971-0.24622252899707
2231719.8489336894898-2.84893368948976
2241816.78495497866391.2150450213361
2251711.5539569903115.44604300968897
2261220.4125122072182-8.41251220721825
227717.6660382426692-10.6660382426692
2281721.3709817086813-4.37098170868134
2291416.6990525323407-2.69905253234069
2302320.53988022392262.46011977607743
2311711.58561756406575.41438243593428
2321417.3017950150146-3.30179501501461
2331521.2182839434277-6.21828394342765
2341714.45938093668772.54061906331227
2352119.82944712164841.17055287835159
2361817.08078096777430.919219032225683
2371817.2899093126760.710090687323954
2381714.45871072916152.54128927083854
2391715.46076788670781.53923211329218
2401615.52430968814450.475690311855461
2411517.8536703503186-2.85367035031859
2422127.6982411771013-6.69824117710129
2431616.4301019390559-0.430101939055902
2441416.4854559253172-2.48545592531718
2451517.4664902393223-2.46649023932229
2461718.579068971231-1.579068971231
2471521.0512987938781-6.05129879387812
2481516.2724627657359-1.2724627657359
2491018.2479159451429-8.24791594514291
250617.1817264494926-11.1817264494926
2512221.18582336570950.814176634290498
2522120.12273306375140.877266936248618
253111.9106790391305-10.9106790391305
2541817.68076325457390.319236745426075
2551715.7261407837621.27385921623797
256411.7270134535749-7.72701345357487
2571015.0825275640809-5.08252756408087
2581616.3065201603871-0.306520160387072
2591614.13718247259461.86281752740537
260913.7606825976339-4.76068259763394
2611611.69121494934124.3087850506588
2621716.49076968159660.509230318403441
263711.7288643044773-4.72886430447727
2641515.3924383232815-0.392438323281547
2651417.825599212282-3.82559921228196
2661416.4287837470611-2.42878374706111
2671817.48713908991960.512860910080415
2681218.3013453487398-6.3013453487398
2691616.4605117882715-0.460511788271472
2702121.043844943792-0.0438449437919696
2711918.96127598430530.0387240156947436
2721615.87194611830380.128053881696225
273111.3146155507153-10.3146155507153
2741618.2915895225533-2.29158952255332
2751015.1471598726134-5.14715987261344
2761915.31236568531593.6876343146841
2771214.8728946927795-2.87289469277954
278211.8943760898116-9.89437608981163
2791416.7434472573167-2.74344725731666
2801715.39611815688471.60388184311534
2811915.75963309694223.24036690305777
2821421.9982895020727-7.9982895020727
2831117.1174805214695-6.11748052146948
284411.7879398749963-7.78793987499632
2851614.22373502784171.77626497215825
2862016.60153111461443.39846888538557
2871212.8669952700962-0.866995270096162
2881519.7802013864912-4.78020138649118
2891614.19813179479861.80186820520135






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.5951320885504240.8097358228991530.404867911449576
80.4884013212630080.9768026425260160.511598678736992
90.3827862195718630.7655724391437260.617213780428137
100.3082819967363570.6165639934727130.691718003263643
110.2239228056035730.4478456112071470.776077194396427
120.3866258706279020.7732517412558030.613374129372098
130.8729182820601010.2541634358797980.127081717939899
140.8384178209361130.3231643581277750.161582179063887
150.8533035562476950.293392887504610.146696443752305
160.8287766988569770.3424466022860470.171223301143023
170.8051248373771990.3897503252456030.194875162622801
180.7602223897010620.4795552205978760.239777610298938
190.7244886921130140.5510226157739720.275511307886986
200.7250196364209260.5499607271581480.274980363579074
210.6842495506903240.6315008986193530.315750449309676
220.6498240355653780.7003519288692440.350175964434622
230.599644532683260.800710934633480.40035546731674
240.5340881067786070.9318237864427870.465911893221393
250.6201327929701280.7597344140597450.379867207029872
260.5613472430875280.8773055138249430.438652756912472
270.5056720469960080.9886559060079840.494327953003992
280.4718762873246650.943752574649330.528123712675335
290.4159249365026840.8318498730053690.584075063497316
300.3631478003654440.7262956007308890.636852199634556
310.3215787962805280.6431575925610560.678421203719472
320.2823143756839480.5646287513678970.717685624316052
330.3432187800264220.6864375600528440.656781219973578
340.3909331427325660.7818662854651310.609066857267434
350.4192772572906610.8385545145813230.580722742709339
360.3888950171261990.7777900342523970.611104982873801
370.4487843030425180.8975686060850370.551215696957482
380.4417586692300670.8835173384601330.558241330769933
390.405473170222760.810946340445520.59452682977724
400.649277581748790.7014448365024210.35072241825121
410.6044879611918750.791024077616250.395512038808125
420.5976767939914830.8046464120170340.402323206008517
430.5954839961242320.8090320077515370.404516003875769
440.5872486603581230.8255026792837540.412751339641877
450.5414935745771490.9170128508457020.458506425422851
460.5696280500818550.860743899836290.430371949918145
470.5731174955967830.8537650088064340.426882504403217
480.5277731651990520.9444536696018960.472226834800948
490.512345082188360.9753098356232810.48765491781164
500.654577547067940.690844905864120.34542245293206
510.614770017173470.770459965653060.38522998282653
520.6090801219861470.7818397560277060.390919878013853
530.6107130154854360.7785739690291270.389286984514564
540.5720334993035230.8559330013929540.427966500696477
550.543695512564920.9126089748701590.45630448743508
560.5055882952111820.9888234095776370.494411704788818
570.585687682253930.8286246354921390.41431231774607
580.5837692417957390.8324615164085230.416230758204261
590.5439075489045650.912184902190870.456092451095435
600.5464161016415280.9071677967169450.453583898358472
610.5080452982937410.9839094034125180.491954701706259
620.4876966320158150.9753932640316290.512303367984185
630.7256119511915310.5487760976169380.274388048808469
640.6955541648866190.6088916702267620.304445835113381
650.8371355768955680.3257288462088650.162864423104433
660.8133837798501060.3732324402997870.186616220149893
670.7863331560885390.4273336878229210.213666843911461
680.75772160607880.4845567878424010.2422783939212
690.9172727461350860.1654545077298290.0827272538649143
700.9418895799939740.1162208400120520.0581104200060261
710.9306471045327260.1387057909345470.0693528954672736
720.9185908250761020.1628183498477950.0814091749238977
730.9038441380068090.1923117239863830.0961558619931913
740.9049337193576880.1901325612846240.095066280642312
750.8988987245772520.2022025508454970.101101275422748
760.8894355455242820.2211289089514360.110564454475718
770.8804068951059480.2391862097881040.119593104894052
780.9225381960984550.1549236078030910.0774618039015455
790.9163275936286050.1673448127427890.0836724063713945
800.9449172925699860.1101654148600280.0550827074300141
810.9348716548899160.1302566902201670.0651283451100836
820.9315217484535020.1369565030929950.0684782515464976
830.9199173844349240.1601652311301520.080082615565076
840.9125501803271260.1748996393457480.0874498196728742
850.9130393195994020.1739213608011970.0869606804005985
860.9028915660437090.1942168679125830.0971084339562914
870.9063198887150.1873602225699990.0936801112849997
880.8925181886590720.2149636226818550.107481811340928
890.8833811011103650.2332377977792690.116618898889635
900.8733967180439510.2532065639120980.126603281956049
910.8570428280412180.2859143439175640.142957171958782
920.9280994270050570.1438011459898860.0719005729949432
930.9264952345803480.1470095308393030.0735047654196516
940.913568021879550.1728639562408990.0864319781204496
950.9014036632100020.1971926735799960.098596336789998
960.8864443099862060.2271113800275880.113555690013794
970.9675068572499030.06498628550019440.0324931427500972
980.9605537092664890.07889258146702120.0394462907335106
990.9665477630458540.06690447390829150.0334522369541457
1000.9600587658771970.07988246824560510.0399412341228026
1010.9531214321138030.09375713577239470.0468785678861973
1020.9513348976976610.09733020460467890.0486651023023394
1030.9449329867093570.1101340265812850.0550670132906426
1040.9369993467583250.1260013064833510.0630006532416753
1050.940653597166540.1186928056669190.0593464028334596
1060.9525432878706330.09491342425873430.0474567121293671
1070.9828633665071960.0342732669856080.017136633492804
1080.9803256197653630.03934876046927440.0196743802346372
1090.9984696634999830.003060673000033330.00153033650001667
1100.9988045382023950.002390923595210150.00119546179760507
1110.9987059070511860.002588185897628320.00129409294881416
1120.998949064246450.002101871507099730.00105093575354986
1130.9986785485577750.002642902884449180.00132145144222459
1140.9984650468346380.003069906330724150.00153495316536208
1150.9983096429796650.00338071404066970.00169035702033485
1160.9978876084437440.004224783112511340.00211239155625567
1170.9972537263317890.005492547336421290.00274627366821065
1180.9972380579472170.005523884105565980.00276194205278299
1190.9991265643312680.00174687133746490.000873435668732448
1200.9990337184569990.001932563086002760.00096628154300138
1210.9988304299127440.002339140174511760.00116957008725588
1220.9989762646374820.002047470725036670.00102373536251834
1230.9989407338879410.002118532224117220.00105926611205861
1240.9987393791979770.002521241604046970.00126062080202349
1250.9984198288181120.0031603423637770.0015801711818885
1260.9986162190895810.002767561820837080.00138378091041854
1270.9987707808991920.00245843820161580.0012292191008079
1280.9984626619833750.0030746760332510.0015373380166255
1290.9987921156370820.002415768725836460.00120788436291823
1300.9994418210829980.001116357834004490.000558178917002244
1310.9994265522447230.001146895510554490.000573447755277244
1320.9993505224360890.001298955127822070.000649477563911034
1330.9993328260452660.00133434790946850.000667173954734248
1340.9993318662180660.001336267563866970.000668133781933484
1350.9997739034476270.000452193104746340.00022609655237317
1360.9997513156229430.0004973687541144230.000248684377057212
1370.9998968849951810.0002062300096372790.00010311500481864
1380.9998866640454040.0002266719091916120.000113335954595806
1390.9998756251057370.0002487497885254940.000124374894262747
1400.9998939637746890.0002120724506219410.00010603622531097
1410.9998637706607380.0002724586785234190.00013622933926171
1420.9998680763332940.0002638473334129670.000131923666706483
1430.999842053316290.00031589336741940.0001579466837097
1440.9998061907896270.0003876184207455830.000193809210372791
1450.9998618982175060.0002762035649882980.000138101782494149
1460.9998527379321920.0002945241356165330.000147262067808267
1470.9999395181733760.0001209636532480296.04818266240143e-05
1480.9999266222999730.000146755400053787.33777000268898e-05
1490.9999247161734810.000150567653038457.52838265192248e-05
1500.9999553748935638.92502128735476e-054.46251064367738e-05
1510.9999778968683644.42062632716419e-052.2103131635821e-05
1520.9999925663855971.48672288060803e-057.43361440304014e-06
1530.9999916428231581.67143536842878e-058.35717684214389e-06
1540.9999925443994041.49112011928395e-057.45560059641973e-06
1550.9999908602933091.82794133815031e-059.13970669075153e-06
1560.9999932450871.35098259996795e-056.75491299983975e-06
1570.9999931904482141.36191035723783e-056.80955178618915e-06
1580.9999914503026211.70993947573156e-058.54969737865778e-06
1590.9999928491137411.43017725179604e-057.15088625898019e-06
1600.9999912190858391.75618283221001e-058.78091416105005e-06
1610.9999872132702782.55734594442145e-051.27867297221073e-05
1620.9999847322086133.05355827741203e-051.52677913870602e-05
1630.9999880172848872.39654302258105e-051.19827151129052e-05
1640.9999829549462953.40901074091819e-051.7045053704591e-05
1650.9999854949149492.90101701018906e-051.45050850509453e-05
1660.9999880737351642.38525296718502e-051.19262648359251e-05
1670.9999894344550162.11310899680148e-051.05655449840074e-05
1680.9999845622590943.08754818110293e-051.54377409055147e-05
1690.9999782379448454.35241103105275e-052.17620551552638e-05
1700.9999844767323593.10465352821181e-051.5523267641059e-05
1710.9999772770917374.54458165253436e-052.27229082626718e-05
1720.9999735104143165.29791713674529e-052.64895856837264e-05
1730.9999662199936536.75600126950243e-053.37800063475122e-05
1740.9999634073742787.31852514438717e-053.65926257219358e-05
1750.9999793400569264.13198861489305e-052.06599430744652e-05
1760.999973999635955.20007280999203e-052.60003640499601e-05
1770.9999657850489316.84299021377714e-053.42149510688857e-05
1780.9999571735935898.56528128226213e-054.28264064113106e-05
1790.9999393918230960.0001212163538083046.06081769041519e-05
1800.9999174219597990.0001651560804023218.25780402011605e-05
1810.999970802549485.83949010408149e-052.91974505204075e-05
1820.9999592367871468.15264257085177e-054.07632128542589e-05
1830.9999841924111873.16151776257841e-051.5807588812892e-05
1840.9999827708852223.44582295561799e-051.72291147780899e-05
1850.9999944814530081.10370939846988e-055.51854699234941e-06
1860.9999982209314183.55813716323082e-061.77906858161541e-06
1870.9999987086032592.58279348135015e-061.29139674067507e-06
1880.999999593479968.13040079627329e-074.06520039813665e-07
1890.9999993729104741.25417905194026e-066.27089525970131e-07
1900.9999999747346175.05307654332849e-082.52653827166424e-08
1910.999999963400477.31990601046833e-083.65995300523417e-08
1920.9999999397079861.20584027453073e-076.02920137265363e-08
1930.999999929566621.40866760135333e-077.04333800676664e-08
1940.9999999557267028.85465951804419e-084.42732975902209e-08
1950.9999999341657691.31668462641765e-076.58342313208826e-08
1960.9999999354868591.29026282788229e-076.45131413941146e-08
1970.9999999168669071.66266186276868e-078.31330931384342e-08
1980.9999999324306691.3513866245122e-076.756933122561e-08
1990.9999999026191421.94761716658757e-079.73808583293785e-08
2000.9999998836762172.32647566657635e-071.16323783328817e-07
2010.9999998091074683.81785063425399e-071.908925317127e-07
2020.9999999581382268.37235486374281e-084.1861774318714e-08
2030.9999999363457931.27308414168739e-076.36542070843693e-08
2040.9999998941033862.11793227429455e-071.05896613714727e-07
2050.9999998390490973.21901806302062e-071.60950903151031e-07
2060.9999998688979012.62204197618781e-071.3110209880939e-07
2070.9999997814451574.37109685012506e-072.18554842506253e-07
2080.9999996625423476.74915306262415e-073.37457653131207e-07
2090.9999994538934061.09221318700372e-065.46106593501858e-07
2100.9999995762781848.47443632017258e-074.23721816008629e-07
2110.9999996618369776.7632604702367e-073.38163023511835e-07
2120.9999994356488761.12870224842102e-065.64351124210508e-07
2130.9999992756802181.44863956461885e-067.24319782309427e-07
2140.9999987904784952.41904301047588e-061.20952150523794e-06
2150.999999060144831.87971033971939e-069.39855169859696e-07
2160.9999996711436136.57712774207433e-073.28856387103717e-07
2170.9999994638809961.07223800865738e-065.36119004328689e-07
2180.9999992279225181.5441549632338e-067.72077481616902e-07
2190.9999988230221242.35395575136865e-061.17697787568433e-06
2200.9999984028749873.19425002575924e-061.59712501287962e-06
2210.9999981733912823.6532174353455e-061.82660871767275e-06
2220.999997125908345.74818331928732e-062.87409165964366e-06
2230.9999952539960489.49200790346735e-064.74600395173368e-06
2240.9999931752645581.36494708835205e-056.82473544176024e-06
2250.9999947634799461.04730401078971e-055.23652005394856e-06
2260.9999953194992069.36100158812319e-064.6805007940616e-06
2270.9999981785500113.64289997781236e-061.82144998890618e-06
2280.9999971867210835.62655783321783e-062.81327891660891e-06
2290.9999952535405889.49291882348704e-064.74645941174352e-06
2300.9999947820012351.0435997529615e-055.21799876480749e-06
2310.9999967556098066.48878038736132e-063.24439019368066e-06
2320.9999946006482961.07987034083359e-055.39935170416797e-06
2330.999993418218091.31635638200843e-056.58178191004216e-06
2340.9999924774267651.50451464690471e-057.52257323452357e-06
2350.9999889955439092.20089121814394e-051.10044560907197e-05
2360.9999842739680633.1452063873092e-051.5726031936546e-05
2370.9999773842432094.52315135821109e-052.26157567910555e-05
2380.999972831190875.43376182592896e-052.71688091296448e-05
2390.9999639573431067.20853137871596e-053.60426568935798e-05
2400.9999466784122040.0001066431755924195.33215877962096e-05
2410.9999112727989820.0001774544020353548.8727201017677e-05
2420.999942021972690.0001159560546194945.79780273097469e-05
2430.9999017650658680.0001964698682636359.82349341318176e-05
2440.9998361585747130.0003276828505741110.000163841425287056
2450.9997297591608890.0005404816782214870.000270240839110743
2460.9995675491798790.0008649016402424980.000432450820121249
2470.9995534050070020.0008931899859968260.000446594992998413
2480.9992816919311970.001436616137606360.000718308068803182
2490.9994649228473350.00107015430532960.000535077152664801
2500.9997869703778290.0004260592443409470.000213029622170474
2510.999632502990460.0007349940190800180.000367497009540009
2520.9994226404217680.001154719156463740.000577359578231871
2530.999703559764980.0005928804700393330.000296440235019666
2540.9994959630371290.001008073925741620.000504036962870812
2550.9992678987032180.001464202593563610.000732101296781807
2560.9992820480600320.001435903879936630.000717951939968313
2570.9989629459434550.002074108113090820.00103705405654541
2580.998342231410280.003315537179439690.00165776858971985
2590.9980924764683870.003815047063226830.00190752353161341
2600.9970711849613410.005857630077318690.00292881503865934
2610.9983723027124820.003255394575035010.00162769728751751
2620.9973574161948940.005285167610211920.00264258380510596
2630.9956175175598660.008764964880268850.00438248244013443
2640.9927539226963790.01449215460724190.00724607730362096
2650.9886210542836820.02275789143263570.0113789457163179
2660.9818767078047050.03624658439059040.0181232921952952
2670.973157327883940.05368534423211960.0268426721160598
2680.9695731776119170.0608536447761660.030426822388083
2690.9534904221216520.09301915575669610.0465095778783481
2700.9302539041003430.1394921917993140.0697460958996568
2710.9074694346603320.1850611306793360.0925305653396681
2720.878333977478150.2433320450437010.12166602252185
2730.8974915682550220.2050168634899560.102508431744978
2740.8515083353272060.2969833293455890.148491664672794
2750.8035680729249950.392863854150010.196431927075005
2760.8364221408922810.3271557182154380.163577859107719
2770.7603200373357820.4793599253284360.239679962664218
2780.9032474796820690.1935050406358630.0967525203179313
2790.8379089286452390.3241821427095210.162091071354761
2800.7416073238423820.5167853523152360.258392676157618
2810.6481311563893490.7037376872213010.351868843610651
2820.6484098328075340.7031803343849320.351590167192466

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.595132088550424 & 0.809735822899153 & 0.404867911449576 \tabularnewline
8 & 0.488401321263008 & 0.976802642526016 & 0.511598678736992 \tabularnewline
9 & 0.382786219571863 & 0.765572439143726 & 0.617213780428137 \tabularnewline
10 & 0.308281996736357 & 0.616563993472713 & 0.691718003263643 \tabularnewline
11 & 0.223922805603573 & 0.447845611207147 & 0.776077194396427 \tabularnewline
12 & 0.386625870627902 & 0.773251741255803 & 0.613374129372098 \tabularnewline
13 & 0.872918282060101 & 0.254163435879798 & 0.127081717939899 \tabularnewline
14 & 0.838417820936113 & 0.323164358127775 & 0.161582179063887 \tabularnewline
15 & 0.853303556247695 & 0.29339288750461 & 0.146696443752305 \tabularnewline
16 & 0.828776698856977 & 0.342446602286047 & 0.171223301143023 \tabularnewline
17 & 0.805124837377199 & 0.389750325245603 & 0.194875162622801 \tabularnewline
18 & 0.760222389701062 & 0.479555220597876 & 0.239777610298938 \tabularnewline
19 & 0.724488692113014 & 0.551022615773972 & 0.275511307886986 \tabularnewline
20 & 0.725019636420926 & 0.549960727158148 & 0.274980363579074 \tabularnewline
21 & 0.684249550690324 & 0.631500898619353 & 0.315750449309676 \tabularnewline
22 & 0.649824035565378 & 0.700351928869244 & 0.350175964434622 \tabularnewline
23 & 0.59964453268326 & 0.80071093463348 & 0.40035546731674 \tabularnewline
24 & 0.534088106778607 & 0.931823786442787 & 0.465911893221393 \tabularnewline
25 & 0.620132792970128 & 0.759734414059745 & 0.379867207029872 \tabularnewline
26 & 0.561347243087528 & 0.877305513824943 & 0.438652756912472 \tabularnewline
27 & 0.505672046996008 & 0.988655906007984 & 0.494327953003992 \tabularnewline
28 & 0.471876287324665 & 0.94375257464933 & 0.528123712675335 \tabularnewline
29 & 0.415924936502684 & 0.831849873005369 & 0.584075063497316 \tabularnewline
30 & 0.363147800365444 & 0.726295600730889 & 0.636852199634556 \tabularnewline
31 & 0.321578796280528 & 0.643157592561056 & 0.678421203719472 \tabularnewline
32 & 0.282314375683948 & 0.564628751367897 & 0.717685624316052 \tabularnewline
33 & 0.343218780026422 & 0.686437560052844 & 0.656781219973578 \tabularnewline
34 & 0.390933142732566 & 0.781866285465131 & 0.609066857267434 \tabularnewline
35 & 0.419277257290661 & 0.838554514581323 & 0.580722742709339 \tabularnewline
36 & 0.388895017126199 & 0.777790034252397 & 0.611104982873801 \tabularnewline
37 & 0.448784303042518 & 0.897568606085037 & 0.551215696957482 \tabularnewline
38 & 0.441758669230067 & 0.883517338460133 & 0.558241330769933 \tabularnewline
39 & 0.40547317022276 & 0.81094634044552 & 0.59452682977724 \tabularnewline
40 & 0.64927758174879 & 0.701444836502421 & 0.35072241825121 \tabularnewline
41 & 0.604487961191875 & 0.79102407761625 & 0.395512038808125 \tabularnewline
42 & 0.597676793991483 & 0.804646412017034 & 0.402323206008517 \tabularnewline
43 & 0.595483996124232 & 0.809032007751537 & 0.404516003875769 \tabularnewline
44 & 0.587248660358123 & 0.825502679283754 & 0.412751339641877 \tabularnewline
45 & 0.541493574577149 & 0.917012850845702 & 0.458506425422851 \tabularnewline
46 & 0.569628050081855 & 0.86074389983629 & 0.430371949918145 \tabularnewline
47 & 0.573117495596783 & 0.853765008806434 & 0.426882504403217 \tabularnewline
48 & 0.527773165199052 & 0.944453669601896 & 0.472226834800948 \tabularnewline
49 & 0.51234508218836 & 0.975309835623281 & 0.48765491781164 \tabularnewline
50 & 0.65457754706794 & 0.69084490586412 & 0.34542245293206 \tabularnewline
51 & 0.61477001717347 & 0.77045996565306 & 0.38522998282653 \tabularnewline
52 & 0.609080121986147 & 0.781839756027706 & 0.390919878013853 \tabularnewline
53 & 0.610713015485436 & 0.778573969029127 & 0.389286984514564 \tabularnewline
54 & 0.572033499303523 & 0.855933001392954 & 0.427966500696477 \tabularnewline
55 & 0.54369551256492 & 0.912608974870159 & 0.45630448743508 \tabularnewline
56 & 0.505588295211182 & 0.988823409577637 & 0.494411704788818 \tabularnewline
57 & 0.58568768225393 & 0.828624635492139 & 0.41431231774607 \tabularnewline
58 & 0.583769241795739 & 0.832461516408523 & 0.416230758204261 \tabularnewline
59 & 0.543907548904565 & 0.91218490219087 & 0.456092451095435 \tabularnewline
60 & 0.546416101641528 & 0.907167796716945 & 0.453583898358472 \tabularnewline
61 & 0.508045298293741 & 0.983909403412518 & 0.491954701706259 \tabularnewline
62 & 0.487696632015815 & 0.975393264031629 & 0.512303367984185 \tabularnewline
63 & 0.725611951191531 & 0.548776097616938 & 0.274388048808469 \tabularnewline
64 & 0.695554164886619 & 0.608891670226762 & 0.304445835113381 \tabularnewline
65 & 0.837135576895568 & 0.325728846208865 & 0.162864423104433 \tabularnewline
66 & 0.813383779850106 & 0.373232440299787 & 0.186616220149893 \tabularnewline
67 & 0.786333156088539 & 0.427333687822921 & 0.213666843911461 \tabularnewline
68 & 0.7577216060788 & 0.484556787842401 & 0.2422783939212 \tabularnewline
69 & 0.917272746135086 & 0.165454507729829 & 0.0827272538649143 \tabularnewline
70 & 0.941889579993974 & 0.116220840012052 & 0.0581104200060261 \tabularnewline
71 & 0.930647104532726 & 0.138705790934547 & 0.0693528954672736 \tabularnewline
72 & 0.918590825076102 & 0.162818349847795 & 0.0814091749238977 \tabularnewline
73 & 0.903844138006809 & 0.192311723986383 & 0.0961558619931913 \tabularnewline
74 & 0.904933719357688 & 0.190132561284624 & 0.095066280642312 \tabularnewline
75 & 0.898898724577252 & 0.202202550845497 & 0.101101275422748 \tabularnewline
76 & 0.889435545524282 & 0.221128908951436 & 0.110564454475718 \tabularnewline
77 & 0.880406895105948 & 0.239186209788104 & 0.119593104894052 \tabularnewline
78 & 0.922538196098455 & 0.154923607803091 & 0.0774618039015455 \tabularnewline
79 & 0.916327593628605 & 0.167344812742789 & 0.0836724063713945 \tabularnewline
80 & 0.944917292569986 & 0.110165414860028 & 0.0550827074300141 \tabularnewline
81 & 0.934871654889916 & 0.130256690220167 & 0.0651283451100836 \tabularnewline
82 & 0.931521748453502 & 0.136956503092995 & 0.0684782515464976 \tabularnewline
83 & 0.919917384434924 & 0.160165231130152 & 0.080082615565076 \tabularnewline
84 & 0.912550180327126 & 0.174899639345748 & 0.0874498196728742 \tabularnewline
85 & 0.913039319599402 & 0.173921360801197 & 0.0869606804005985 \tabularnewline
86 & 0.902891566043709 & 0.194216867912583 & 0.0971084339562914 \tabularnewline
87 & 0.906319888715 & 0.187360222569999 & 0.0936801112849997 \tabularnewline
88 & 0.892518188659072 & 0.214963622681855 & 0.107481811340928 \tabularnewline
89 & 0.883381101110365 & 0.233237797779269 & 0.116618898889635 \tabularnewline
90 & 0.873396718043951 & 0.253206563912098 & 0.126603281956049 \tabularnewline
91 & 0.857042828041218 & 0.285914343917564 & 0.142957171958782 \tabularnewline
92 & 0.928099427005057 & 0.143801145989886 & 0.0719005729949432 \tabularnewline
93 & 0.926495234580348 & 0.147009530839303 & 0.0735047654196516 \tabularnewline
94 & 0.91356802187955 & 0.172863956240899 & 0.0864319781204496 \tabularnewline
95 & 0.901403663210002 & 0.197192673579996 & 0.098596336789998 \tabularnewline
96 & 0.886444309986206 & 0.227111380027588 & 0.113555690013794 \tabularnewline
97 & 0.967506857249903 & 0.0649862855001944 & 0.0324931427500972 \tabularnewline
98 & 0.960553709266489 & 0.0788925814670212 & 0.0394462907335106 \tabularnewline
99 & 0.966547763045854 & 0.0669044739082915 & 0.0334522369541457 \tabularnewline
100 & 0.960058765877197 & 0.0798824682456051 & 0.0399412341228026 \tabularnewline
101 & 0.953121432113803 & 0.0937571357723947 & 0.0468785678861973 \tabularnewline
102 & 0.951334897697661 & 0.0973302046046789 & 0.0486651023023394 \tabularnewline
103 & 0.944932986709357 & 0.110134026581285 & 0.0550670132906426 \tabularnewline
104 & 0.936999346758325 & 0.126001306483351 & 0.0630006532416753 \tabularnewline
105 & 0.94065359716654 & 0.118692805666919 & 0.0593464028334596 \tabularnewline
106 & 0.952543287870633 & 0.0949134242587343 & 0.0474567121293671 \tabularnewline
107 & 0.982863366507196 & 0.034273266985608 & 0.017136633492804 \tabularnewline
108 & 0.980325619765363 & 0.0393487604692744 & 0.0196743802346372 \tabularnewline
109 & 0.998469663499983 & 0.00306067300003333 & 0.00153033650001667 \tabularnewline
110 & 0.998804538202395 & 0.00239092359521015 & 0.00119546179760507 \tabularnewline
111 & 0.998705907051186 & 0.00258818589762832 & 0.00129409294881416 \tabularnewline
112 & 0.99894906424645 & 0.00210187150709973 & 0.00105093575354986 \tabularnewline
113 & 0.998678548557775 & 0.00264290288444918 & 0.00132145144222459 \tabularnewline
114 & 0.998465046834638 & 0.00306990633072415 & 0.00153495316536208 \tabularnewline
115 & 0.998309642979665 & 0.0033807140406697 & 0.00169035702033485 \tabularnewline
116 & 0.997887608443744 & 0.00422478311251134 & 0.00211239155625567 \tabularnewline
117 & 0.997253726331789 & 0.00549254733642129 & 0.00274627366821065 \tabularnewline
118 & 0.997238057947217 & 0.00552388410556598 & 0.00276194205278299 \tabularnewline
119 & 0.999126564331268 & 0.0017468713374649 & 0.000873435668732448 \tabularnewline
120 & 0.999033718456999 & 0.00193256308600276 & 0.00096628154300138 \tabularnewline
121 & 0.998830429912744 & 0.00233914017451176 & 0.00116957008725588 \tabularnewline
122 & 0.998976264637482 & 0.00204747072503667 & 0.00102373536251834 \tabularnewline
123 & 0.998940733887941 & 0.00211853222411722 & 0.00105926611205861 \tabularnewline
124 & 0.998739379197977 & 0.00252124160404697 & 0.00126062080202349 \tabularnewline
125 & 0.998419828818112 & 0.003160342363777 & 0.0015801711818885 \tabularnewline
126 & 0.998616219089581 & 0.00276756182083708 & 0.00138378091041854 \tabularnewline
127 & 0.998770780899192 & 0.0024584382016158 & 0.0012292191008079 \tabularnewline
128 & 0.998462661983375 & 0.003074676033251 & 0.0015373380166255 \tabularnewline
129 & 0.998792115637082 & 0.00241576872583646 & 0.00120788436291823 \tabularnewline
130 & 0.999441821082998 & 0.00111635783400449 & 0.000558178917002244 \tabularnewline
131 & 0.999426552244723 & 0.00114689551055449 & 0.000573447755277244 \tabularnewline
132 & 0.999350522436089 & 0.00129895512782207 & 0.000649477563911034 \tabularnewline
133 & 0.999332826045266 & 0.0013343479094685 & 0.000667173954734248 \tabularnewline
134 & 0.999331866218066 & 0.00133626756386697 & 0.000668133781933484 \tabularnewline
135 & 0.999773903447627 & 0.00045219310474634 & 0.00022609655237317 \tabularnewline
136 & 0.999751315622943 & 0.000497368754114423 & 0.000248684377057212 \tabularnewline
137 & 0.999896884995181 & 0.000206230009637279 & 0.00010311500481864 \tabularnewline
138 & 0.999886664045404 & 0.000226671909191612 & 0.000113335954595806 \tabularnewline
139 & 0.999875625105737 & 0.000248749788525494 & 0.000124374894262747 \tabularnewline
140 & 0.999893963774689 & 0.000212072450621941 & 0.00010603622531097 \tabularnewline
141 & 0.999863770660738 & 0.000272458678523419 & 0.00013622933926171 \tabularnewline
142 & 0.999868076333294 & 0.000263847333412967 & 0.000131923666706483 \tabularnewline
143 & 0.99984205331629 & 0.0003158933674194 & 0.0001579466837097 \tabularnewline
144 & 0.999806190789627 & 0.000387618420745583 & 0.000193809210372791 \tabularnewline
145 & 0.999861898217506 & 0.000276203564988298 & 0.000138101782494149 \tabularnewline
146 & 0.999852737932192 & 0.000294524135616533 & 0.000147262067808267 \tabularnewline
147 & 0.999939518173376 & 0.000120963653248029 & 6.04818266240143e-05 \tabularnewline
148 & 0.999926622299973 & 0.00014675540005378 & 7.33777000268898e-05 \tabularnewline
149 & 0.999924716173481 & 0.00015056765303845 & 7.52838265192248e-05 \tabularnewline
150 & 0.999955374893563 & 8.92502128735476e-05 & 4.46251064367738e-05 \tabularnewline
151 & 0.999977896868364 & 4.42062632716419e-05 & 2.2103131635821e-05 \tabularnewline
152 & 0.999992566385597 & 1.48672288060803e-05 & 7.43361440304014e-06 \tabularnewline
153 & 0.999991642823158 & 1.67143536842878e-05 & 8.35717684214389e-06 \tabularnewline
154 & 0.999992544399404 & 1.49112011928395e-05 & 7.45560059641973e-06 \tabularnewline
155 & 0.999990860293309 & 1.82794133815031e-05 & 9.13970669075153e-06 \tabularnewline
156 & 0.999993245087 & 1.35098259996795e-05 & 6.75491299983975e-06 \tabularnewline
157 & 0.999993190448214 & 1.36191035723783e-05 & 6.80955178618915e-06 \tabularnewline
158 & 0.999991450302621 & 1.70993947573156e-05 & 8.54969737865778e-06 \tabularnewline
159 & 0.999992849113741 & 1.43017725179604e-05 & 7.15088625898019e-06 \tabularnewline
160 & 0.999991219085839 & 1.75618283221001e-05 & 8.78091416105005e-06 \tabularnewline
161 & 0.999987213270278 & 2.55734594442145e-05 & 1.27867297221073e-05 \tabularnewline
162 & 0.999984732208613 & 3.05355827741203e-05 & 1.52677913870602e-05 \tabularnewline
163 & 0.999988017284887 & 2.39654302258105e-05 & 1.19827151129052e-05 \tabularnewline
164 & 0.999982954946295 & 3.40901074091819e-05 & 1.7045053704591e-05 \tabularnewline
165 & 0.999985494914949 & 2.90101701018906e-05 & 1.45050850509453e-05 \tabularnewline
166 & 0.999988073735164 & 2.38525296718502e-05 & 1.19262648359251e-05 \tabularnewline
167 & 0.999989434455016 & 2.11310899680148e-05 & 1.05655449840074e-05 \tabularnewline
168 & 0.999984562259094 & 3.08754818110293e-05 & 1.54377409055147e-05 \tabularnewline
169 & 0.999978237944845 & 4.35241103105275e-05 & 2.17620551552638e-05 \tabularnewline
170 & 0.999984476732359 & 3.10465352821181e-05 & 1.5523267641059e-05 \tabularnewline
171 & 0.999977277091737 & 4.54458165253436e-05 & 2.27229082626718e-05 \tabularnewline
172 & 0.999973510414316 & 5.29791713674529e-05 & 2.64895856837264e-05 \tabularnewline
173 & 0.999966219993653 & 6.75600126950243e-05 & 3.37800063475122e-05 \tabularnewline
174 & 0.999963407374278 & 7.31852514438717e-05 & 3.65926257219358e-05 \tabularnewline
175 & 0.999979340056926 & 4.13198861489305e-05 & 2.06599430744652e-05 \tabularnewline
176 & 0.99997399963595 & 5.20007280999203e-05 & 2.60003640499601e-05 \tabularnewline
177 & 0.999965785048931 & 6.84299021377714e-05 & 3.42149510688857e-05 \tabularnewline
178 & 0.999957173593589 & 8.56528128226213e-05 & 4.28264064113106e-05 \tabularnewline
179 & 0.999939391823096 & 0.000121216353808304 & 6.06081769041519e-05 \tabularnewline
180 & 0.999917421959799 & 0.000165156080402321 & 8.25780402011605e-05 \tabularnewline
181 & 0.99997080254948 & 5.83949010408149e-05 & 2.91974505204075e-05 \tabularnewline
182 & 0.999959236787146 & 8.15264257085177e-05 & 4.07632128542589e-05 \tabularnewline
183 & 0.999984192411187 & 3.16151776257841e-05 & 1.5807588812892e-05 \tabularnewline
184 & 0.999982770885222 & 3.44582295561799e-05 & 1.72291147780899e-05 \tabularnewline
185 & 0.999994481453008 & 1.10370939846988e-05 & 5.51854699234941e-06 \tabularnewline
186 & 0.999998220931418 & 3.55813716323082e-06 & 1.77906858161541e-06 \tabularnewline
187 & 0.999998708603259 & 2.58279348135015e-06 & 1.29139674067507e-06 \tabularnewline
188 & 0.99999959347996 & 8.13040079627329e-07 & 4.06520039813665e-07 \tabularnewline
189 & 0.999999372910474 & 1.25417905194026e-06 & 6.27089525970131e-07 \tabularnewline
190 & 0.999999974734617 & 5.05307654332849e-08 & 2.52653827166424e-08 \tabularnewline
191 & 0.99999996340047 & 7.31990601046833e-08 & 3.65995300523417e-08 \tabularnewline
192 & 0.999999939707986 & 1.20584027453073e-07 & 6.02920137265363e-08 \tabularnewline
193 & 0.99999992956662 & 1.40866760135333e-07 & 7.04333800676664e-08 \tabularnewline
194 & 0.999999955726702 & 8.85465951804419e-08 & 4.42732975902209e-08 \tabularnewline
195 & 0.999999934165769 & 1.31668462641765e-07 & 6.58342313208826e-08 \tabularnewline
196 & 0.999999935486859 & 1.29026282788229e-07 & 6.45131413941146e-08 \tabularnewline
197 & 0.999999916866907 & 1.66266186276868e-07 & 8.31330931384342e-08 \tabularnewline
198 & 0.999999932430669 & 1.3513866245122e-07 & 6.756933122561e-08 \tabularnewline
199 & 0.999999902619142 & 1.94761716658757e-07 & 9.73808583293785e-08 \tabularnewline
200 & 0.999999883676217 & 2.32647566657635e-07 & 1.16323783328817e-07 \tabularnewline
201 & 0.999999809107468 & 3.81785063425399e-07 & 1.908925317127e-07 \tabularnewline
202 & 0.999999958138226 & 8.37235486374281e-08 & 4.1861774318714e-08 \tabularnewline
203 & 0.999999936345793 & 1.27308414168739e-07 & 6.36542070843693e-08 \tabularnewline
204 & 0.999999894103386 & 2.11793227429455e-07 & 1.05896613714727e-07 \tabularnewline
205 & 0.999999839049097 & 3.21901806302062e-07 & 1.60950903151031e-07 \tabularnewline
206 & 0.999999868897901 & 2.62204197618781e-07 & 1.3110209880939e-07 \tabularnewline
207 & 0.999999781445157 & 4.37109685012506e-07 & 2.18554842506253e-07 \tabularnewline
208 & 0.999999662542347 & 6.74915306262415e-07 & 3.37457653131207e-07 \tabularnewline
209 & 0.999999453893406 & 1.09221318700372e-06 & 5.46106593501858e-07 \tabularnewline
210 & 0.999999576278184 & 8.47443632017258e-07 & 4.23721816008629e-07 \tabularnewline
211 & 0.999999661836977 & 6.7632604702367e-07 & 3.38163023511835e-07 \tabularnewline
212 & 0.999999435648876 & 1.12870224842102e-06 & 5.64351124210508e-07 \tabularnewline
213 & 0.999999275680218 & 1.44863956461885e-06 & 7.24319782309427e-07 \tabularnewline
214 & 0.999998790478495 & 2.41904301047588e-06 & 1.20952150523794e-06 \tabularnewline
215 & 0.99999906014483 & 1.87971033971939e-06 & 9.39855169859696e-07 \tabularnewline
216 & 0.999999671143613 & 6.57712774207433e-07 & 3.28856387103717e-07 \tabularnewline
217 & 0.999999463880996 & 1.07223800865738e-06 & 5.36119004328689e-07 \tabularnewline
218 & 0.999999227922518 & 1.5441549632338e-06 & 7.72077481616902e-07 \tabularnewline
219 & 0.999998823022124 & 2.35395575136865e-06 & 1.17697787568433e-06 \tabularnewline
220 & 0.999998402874987 & 3.19425002575924e-06 & 1.59712501287962e-06 \tabularnewline
221 & 0.999998173391282 & 3.6532174353455e-06 & 1.82660871767275e-06 \tabularnewline
222 & 0.99999712590834 & 5.74818331928732e-06 & 2.87409165964366e-06 \tabularnewline
223 & 0.999995253996048 & 9.49200790346735e-06 & 4.74600395173368e-06 \tabularnewline
224 & 0.999993175264558 & 1.36494708835205e-05 & 6.82473544176024e-06 \tabularnewline
225 & 0.999994763479946 & 1.04730401078971e-05 & 5.23652005394856e-06 \tabularnewline
226 & 0.999995319499206 & 9.36100158812319e-06 & 4.6805007940616e-06 \tabularnewline
227 & 0.999998178550011 & 3.64289997781236e-06 & 1.82144998890618e-06 \tabularnewline
228 & 0.999997186721083 & 5.62655783321783e-06 & 2.81327891660891e-06 \tabularnewline
229 & 0.999995253540588 & 9.49291882348704e-06 & 4.74645941174352e-06 \tabularnewline
230 & 0.999994782001235 & 1.0435997529615e-05 & 5.21799876480749e-06 \tabularnewline
231 & 0.999996755609806 & 6.48878038736132e-06 & 3.24439019368066e-06 \tabularnewline
232 & 0.999994600648296 & 1.07987034083359e-05 & 5.39935170416797e-06 \tabularnewline
233 & 0.99999341821809 & 1.31635638200843e-05 & 6.58178191004216e-06 \tabularnewline
234 & 0.999992477426765 & 1.50451464690471e-05 & 7.52257323452357e-06 \tabularnewline
235 & 0.999988995543909 & 2.20089121814394e-05 & 1.10044560907197e-05 \tabularnewline
236 & 0.999984273968063 & 3.1452063873092e-05 & 1.5726031936546e-05 \tabularnewline
237 & 0.999977384243209 & 4.52315135821109e-05 & 2.26157567910555e-05 \tabularnewline
238 & 0.99997283119087 & 5.43376182592896e-05 & 2.71688091296448e-05 \tabularnewline
239 & 0.999963957343106 & 7.20853137871596e-05 & 3.60426568935798e-05 \tabularnewline
240 & 0.999946678412204 & 0.000106643175592419 & 5.33215877962096e-05 \tabularnewline
241 & 0.999911272798982 & 0.000177454402035354 & 8.8727201017677e-05 \tabularnewline
242 & 0.99994202197269 & 0.000115956054619494 & 5.79780273097469e-05 \tabularnewline
243 & 0.999901765065868 & 0.000196469868263635 & 9.82349341318176e-05 \tabularnewline
244 & 0.999836158574713 & 0.000327682850574111 & 0.000163841425287056 \tabularnewline
245 & 0.999729759160889 & 0.000540481678221487 & 0.000270240839110743 \tabularnewline
246 & 0.999567549179879 & 0.000864901640242498 & 0.000432450820121249 \tabularnewline
247 & 0.999553405007002 & 0.000893189985996826 & 0.000446594992998413 \tabularnewline
248 & 0.999281691931197 & 0.00143661613760636 & 0.000718308068803182 \tabularnewline
249 & 0.999464922847335 & 0.0010701543053296 & 0.000535077152664801 \tabularnewline
250 & 0.999786970377829 & 0.000426059244340947 & 0.000213029622170474 \tabularnewline
251 & 0.99963250299046 & 0.000734994019080018 & 0.000367497009540009 \tabularnewline
252 & 0.999422640421768 & 0.00115471915646374 & 0.000577359578231871 \tabularnewline
253 & 0.99970355976498 & 0.000592880470039333 & 0.000296440235019666 \tabularnewline
254 & 0.999495963037129 & 0.00100807392574162 & 0.000504036962870812 \tabularnewline
255 & 0.999267898703218 & 0.00146420259356361 & 0.000732101296781807 \tabularnewline
256 & 0.999282048060032 & 0.00143590387993663 & 0.000717951939968313 \tabularnewline
257 & 0.998962945943455 & 0.00207410811309082 & 0.00103705405654541 \tabularnewline
258 & 0.99834223141028 & 0.00331553717943969 & 0.00165776858971985 \tabularnewline
259 & 0.998092476468387 & 0.00381504706322683 & 0.00190752353161341 \tabularnewline
260 & 0.997071184961341 & 0.00585763007731869 & 0.00292881503865934 \tabularnewline
261 & 0.998372302712482 & 0.00325539457503501 & 0.00162769728751751 \tabularnewline
262 & 0.997357416194894 & 0.00528516761021192 & 0.00264258380510596 \tabularnewline
263 & 0.995617517559866 & 0.00876496488026885 & 0.00438248244013443 \tabularnewline
264 & 0.992753922696379 & 0.0144921546072419 & 0.00724607730362096 \tabularnewline
265 & 0.988621054283682 & 0.0227578914326357 & 0.0113789457163179 \tabularnewline
266 & 0.981876707804705 & 0.0362465843905904 & 0.0181232921952952 \tabularnewline
267 & 0.97315732788394 & 0.0536853442321196 & 0.0268426721160598 \tabularnewline
268 & 0.969573177611917 & 0.060853644776166 & 0.030426822388083 \tabularnewline
269 & 0.953490422121652 & 0.0930191557566961 & 0.0465095778783481 \tabularnewline
270 & 0.930253904100343 & 0.139492191799314 & 0.0697460958996568 \tabularnewline
271 & 0.907469434660332 & 0.185061130679336 & 0.0925305653396681 \tabularnewline
272 & 0.87833397747815 & 0.243332045043701 & 0.12166602252185 \tabularnewline
273 & 0.897491568255022 & 0.205016863489956 & 0.102508431744978 \tabularnewline
274 & 0.851508335327206 & 0.296983329345589 & 0.148491664672794 \tabularnewline
275 & 0.803568072924995 & 0.39286385415001 & 0.196431927075005 \tabularnewline
276 & 0.836422140892281 & 0.327155718215438 & 0.163577859107719 \tabularnewline
277 & 0.760320037335782 & 0.479359925328436 & 0.239679962664218 \tabularnewline
278 & 0.903247479682069 & 0.193505040635863 & 0.0967525203179313 \tabularnewline
279 & 0.837908928645239 & 0.324182142709521 & 0.162091071354761 \tabularnewline
280 & 0.741607323842382 & 0.516785352315236 & 0.258392676157618 \tabularnewline
281 & 0.648131156389349 & 0.703737687221301 & 0.351868843610651 \tabularnewline
282 & 0.648409832807534 & 0.703180334384932 & 0.351590167192466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160023&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]7[/C][C]0.595132088550424[/C][C]0.809735822899153[/C][C]0.404867911449576[/C][/ROW]
[ROW][C]8[/C][C]0.488401321263008[/C][C]0.976802642526016[/C][C]0.511598678736992[/C][/ROW]
[ROW][C]9[/C][C]0.382786219571863[/C][C]0.765572439143726[/C][C]0.617213780428137[/C][/ROW]
[ROW][C]10[/C][C]0.308281996736357[/C][C]0.616563993472713[/C][C]0.691718003263643[/C][/ROW]
[ROW][C]11[/C][C]0.223922805603573[/C][C]0.447845611207147[/C][C]0.776077194396427[/C][/ROW]
[ROW][C]12[/C][C]0.386625870627902[/C][C]0.773251741255803[/C][C]0.613374129372098[/C][/ROW]
[ROW][C]13[/C][C]0.872918282060101[/C][C]0.254163435879798[/C][C]0.127081717939899[/C][/ROW]
[ROW][C]14[/C][C]0.838417820936113[/C][C]0.323164358127775[/C][C]0.161582179063887[/C][/ROW]
[ROW][C]15[/C][C]0.853303556247695[/C][C]0.29339288750461[/C][C]0.146696443752305[/C][/ROW]
[ROW][C]16[/C][C]0.828776698856977[/C][C]0.342446602286047[/C][C]0.171223301143023[/C][/ROW]
[ROW][C]17[/C][C]0.805124837377199[/C][C]0.389750325245603[/C][C]0.194875162622801[/C][/ROW]
[ROW][C]18[/C][C]0.760222389701062[/C][C]0.479555220597876[/C][C]0.239777610298938[/C][/ROW]
[ROW][C]19[/C][C]0.724488692113014[/C][C]0.551022615773972[/C][C]0.275511307886986[/C][/ROW]
[ROW][C]20[/C][C]0.725019636420926[/C][C]0.549960727158148[/C][C]0.274980363579074[/C][/ROW]
[ROW][C]21[/C][C]0.684249550690324[/C][C]0.631500898619353[/C][C]0.315750449309676[/C][/ROW]
[ROW][C]22[/C][C]0.649824035565378[/C][C]0.700351928869244[/C][C]0.350175964434622[/C][/ROW]
[ROW][C]23[/C][C]0.59964453268326[/C][C]0.80071093463348[/C][C]0.40035546731674[/C][/ROW]
[ROW][C]24[/C][C]0.534088106778607[/C][C]0.931823786442787[/C][C]0.465911893221393[/C][/ROW]
[ROW][C]25[/C][C]0.620132792970128[/C][C]0.759734414059745[/C][C]0.379867207029872[/C][/ROW]
[ROW][C]26[/C][C]0.561347243087528[/C][C]0.877305513824943[/C][C]0.438652756912472[/C][/ROW]
[ROW][C]27[/C][C]0.505672046996008[/C][C]0.988655906007984[/C][C]0.494327953003992[/C][/ROW]
[ROW][C]28[/C][C]0.471876287324665[/C][C]0.94375257464933[/C][C]0.528123712675335[/C][/ROW]
[ROW][C]29[/C][C]0.415924936502684[/C][C]0.831849873005369[/C][C]0.584075063497316[/C][/ROW]
[ROW][C]30[/C][C]0.363147800365444[/C][C]0.726295600730889[/C][C]0.636852199634556[/C][/ROW]
[ROW][C]31[/C][C]0.321578796280528[/C][C]0.643157592561056[/C][C]0.678421203719472[/C][/ROW]
[ROW][C]32[/C][C]0.282314375683948[/C][C]0.564628751367897[/C][C]0.717685624316052[/C][/ROW]
[ROW][C]33[/C][C]0.343218780026422[/C][C]0.686437560052844[/C][C]0.656781219973578[/C][/ROW]
[ROW][C]34[/C][C]0.390933142732566[/C][C]0.781866285465131[/C][C]0.609066857267434[/C][/ROW]
[ROW][C]35[/C][C]0.419277257290661[/C][C]0.838554514581323[/C][C]0.580722742709339[/C][/ROW]
[ROW][C]36[/C][C]0.388895017126199[/C][C]0.777790034252397[/C][C]0.611104982873801[/C][/ROW]
[ROW][C]37[/C][C]0.448784303042518[/C][C]0.897568606085037[/C][C]0.551215696957482[/C][/ROW]
[ROW][C]38[/C][C]0.441758669230067[/C][C]0.883517338460133[/C][C]0.558241330769933[/C][/ROW]
[ROW][C]39[/C][C]0.40547317022276[/C][C]0.81094634044552[/C][C]0.59452682977724[/C][/ROW]
[ROW][C]40[/C][C]0.64927758174879[/C][C]0.701444836502421[/C][C]0.35072241825121[/C][/ROW]
[ROW][C]41[/C][C]0.604487961191875[/C][C]0.79102407761625[/C][C]0.395512038808125[/C][/ROW]
[ROW][C]42[/C][C]0.597676793991483[/C][C]0.804646412017034[/C][C]0.402323206008517[/C][/ROW]
[ROW][C]43[/C][C]0.595483996124232[/C][C]0.809032007751537[/C][C]0.404516003875769[/C][/ROW]
[ROW][C]44[/C][C]0.587248660358123[/C][C]0.825502679283754[/C][C]0.412751339641877[/C][/ROW]
[ROW][C]45[/C][C]0.541493574577149[/C][C]0.917012850845702[/C][C]0.458506425422851[/C][/ROW]
[ROW][C]46[/C][C]0.569628050081855[/C][C]0.86074389983629[/C][C]0.430371949918145[/C][/ROW]
[ROW][C]47[/C][C]0.573117495596783[/C][C]0.853765008806434[/C][C]0.426882504403217[/C][/ROW]
[ROW][C]48[/C][C]0.527773165199052[/C][C]0.944453669601896[/C][C]0.472226834800948[/C][/ROW]
[ROW][C]49[/C][C]0.51234508218836[/C][C]0.975309835623281[/C][C]0.48765491781164[/C][/ROW]
[ROW][C]50[/C][C]0.65457754706794[/C][C]0.69084490586412[/C][C]0.34542245293206[/C][/ROW]
[ROW][C]51[/C][C]0.61477001717347[/C][C]0.77045996565306[/C][C]0.38522998282653[/C][/ROW]
[ROW][C]52[/C][C]0.609080121986147[/C][C]0.781839756027706[/C][C]0.390919878013853[/C][/ROW]
[ROW][C]53[/C][C]0.610713015485436[/C][C]0.778573969029127[/C][C]0.389286984514564[/C][/ROW]
[ROW][C]54[/C][C]0.572033499303523[/C][C]0.855933001392954[/C][C]0.427966500696477[/C][/ROW]
[ROW][C]55[/C][C]0.54369551256492[/C][C]0.912608974870159[/C][C]0.45630448743508[/C][/ROW]
[ROW][C]56[/C][C]0.505588295211182[/C][C]0.988823409577637[/C][C]0.494411704788818[/C][/ROW]
[ROW][C]57[/C][C]0.58568768225393[/C][C]0.828624635492139[/C][C]0.41431231774607[/C][/ROW]
[ROW][C]58[/C][C]0.583769241795739[/C][C]0.832461516408523[/C][C]0.416230758204261[/C][/ROW]
[ROW][C]59[/C][C]0.543907548904565[/C][C]0.91218490219087[/C][C]0.456092451095435[/C][/ROW]
[ROW][C]60[/C][C]0.546416101641528[/C][C]0.907167796716945[/C][C]0.453583898358472[/C][/ROW]
[ROW][C]61[/C][C]0.508045298293741[/C][C]0.983909403412518[/C][C]0.491954701706259[/C][/ROW]
[ROW][C]62[/C][C]0.487696632015815[/C][C]0.975393264031629[/C][C]0.512303367984185[/C][/ROW]
[ROW][C]63[/C][C]0.725611951191531[/C][C]0.548776097616938[/C][C]0.274388048808469[/C][/ROW]
[ROW][C]64[/C][C]0.695554164886619[/C][C]0.608891670226762[/C][C]0.304445835113381[/C][/ROW]
[ROW][C]65[/C][C]0.837135576895568[/C][C]0.325728846208865[/C][C]0.162864423104433[/C][/ROW]
[ROW][C]66[/C][C]0.813383779850106[/C][C]0.373232440299787[/C][C]0.186616220149893[/C][/ROW]
[ROW][C]67[/C][C]0.786333156088539[/C][C]0.427333687822921[/C][C]0.213666843911461[/C][/ROW]
[ROW][C]68[/C][C]0.7577216060788[/C][C]0.484556787842401[/C][C]0.2422783939212[/C][/ROW]
[ROW][C]69[/C][C]0.917272746135086[/C][C]0.165454507729829[/C][C]0.0827272538649143[/C][/ROW]
[ROW][C]70[/C][C]0.941889579993974[/C][C]0.116220840012052[/C][C]0.0581104200060261[/C][/ROW]
[ROW][C]71[/C][C]0.930647104532726[/C][C]0.138705790934547[/C][C]0.0693528954672736[/C][/ROW]
[ROW][C]72[/C][C]0.918590825076102[/C][C]0.162818349847795[/C][C]0.0814091749238977[/C][/ROW]
[ROW][C]73[/C][C]0.903844138006809[/C][C]0.192311723986383[/C][C]0.0961558619931913[/C][/ROW]
[ROW][C]74[/C][C]0.904933719357688[/C][C]0.190132561284624[/C][C]0.095066280642312[/C][/ROW]
[ROW][C]75[/C][C]0.898898724577252[/C][C]0.202202550845497[/C][C]0.101101275422748[/C][/ROW]
[ROW][C]76[/C][C]0.889435545524282[/C][C]0.221128908951436[/C][C]0.110564454475718[/C][/ROW]
[ROW][C]77[/C][C]0.880406895105948[/C][C]0.239186209788104[/C][C]0.119593104894052[/C][/ROW]
[ROW][C]78[/C][C]0.922538196098455[/C][C]0.154923607803091[/C][C]0.0774618039015455[/C][/ROW]
[ROW][C]79[/C][C]0.916327593628605[/C][C]0.167344812742789[/C][C]0.0836724063713945[/C][/ROW]
[ROW][C]80[/C][C]0.944917292569986[/C][C]0.110165414860028[/C][C]0.0550827074300141[/C][/ROW]
[ROW][C]81[/C][C]0.934871654889916[/C][C]0.130256690220167[/C][C]0.0651283451100836[/C][/ROW]
[ROW][C]82[/C][C]0.931521748453502[/C][C]0.136956503092995[/C][C]0.0684782515464976[/C][/ROW]
[ROW][C]83[/C][C]0.919917384434924[/C][C]0.160165231130152[/C][C]0.080082615565076[/C][/ROW]
[ROW][C]84[/C][C]0.912550180327126[/C][C]0.174899639345748[/C][C]0.0874498196728742[/C][/ROW]
[ROW][C]85[/C][C]0.913039319599402[/C][C]0.173921360801197[/C][C]0.0869606804005985[/C][/ROW]
[ROW][C]86[/C][C]0.902891566043709[/C][C]0.194216867912583[/C][C]0.0971084339562914[/C][/ROW]
[ROW][C]87[/C][C]0.906319888715[/C][C]0.187360222569999[/C][C]0.0936801112849997[/C][/ROW]
[ROW][C]88[/C][C]0.892518188659072[/C][C]0.214963622681855[/C][C]0.107481811340928[/C][/ROW]
[ROW][C]89[/C][C]0.883381101110365[/C][C]0.233237797779269[/C][C]0.116618898889635[/C][/ROW]
[ROW][C]90[/C][C]0.873396718043951[/C][C]0.253206563912098[/C][C]0.126603281956049[/C][/ROW]
[ROW][C]91[/C][C]0.857042828041218[/C][C]0.285914343917564[/C][C]0.142957171958782[/C][/ROW]
[ROW][C]92[/C][C]0.928099427005057[/C][C]0.143801145989886[/C][C]0.0719005729949432[/C][/ROW]
[ROW][C]93[/C][C]0.926495234580348[/C][C]0.147009530839303[/C][C]0.0735047654196516[/C][/ROW]
[ROW][C]94[/C][C]0.91356802187955[/C][C]0.172863956240899[/C][C]0.0864319781204496[/C][/ROW]
[ROW][C]95[/C][C]0.901403663210002[/C][C]0.197192673579996[/C][C]0.098596336789998[/C][/ROW]
[ROW][C]96[/C][C]0.886444309986206[/C][C]0.227111380027588[/C][C]0.113555690013794[/C][/ROW]
[ROW][C]97[/C][C]0.967506857249903[/C][C]0.0649862855001944[/C][C]0.0324931427500972[/C][/ROW]
[ROW][C]98[/C][C]0.960553709266489[/C][C]0.0788925814670212[/C][C]0.0394462907335106[/C][/ROW]
[ROW][C]99[/C][C]0.966547763045854[/C][C]0.0669044739082915[/C][C]0.0334522369541457[/C][/ROW]
[ROW][C]100[/C][C]0.960058765877197[/C][C]0.0798824682456051[/C][C]0.0399412341228026[/C][/ROW]
[ROW][C]101[/C][C]0.953121432113803[/C][C]0.0937571357723947[/C][C]0.0468785678861973[/C][/ROW]
[ROW][C]102[/C][C]0.951334897697661[/C][C]0.0973302046046789[/C][C]0.0486651023023394[/C][/ROW]
[ROW][C]103[/C][C]0.944932986709357[/C][C]0.110134026581285[/C][C]0.0550670132906426[/C][/ROW]
[ROW][C]104[/C][C]0.936999346758325[/C][C]0.126001306483351[/C][C]0.0630006532416753[/C][/ROW]
[ROW][C]105[/C][C]0.94065359716654[/C][C]0.118692805666919[/C][C]0.0593464028334596[/C][/ROW]
[ROW][C]106[/C][C]0.952543287870633[/C][C]0.0949134242587343[/C][C]0.0474567121293671[/C][/ROW]
[ROW][C]107[/C][C]0.982863366507196[/C][C]0.034273266985608[/C][C]0.017136633492804[/C][/ROW]
[ROW][C]108[/C][C]0.980325619765363[/C][C]0.0393487604692744[/C][C]0.0196743802346372[/C][/ROW]
[ROW][C]109[/C][C]0.998469663499983[/C][C]0.00306067300003333[/C][C]0.00153033650001667[/C][/ROW]
[ROW][C]110[/C][C]0.998804538202395[/C][C]0.00239092359521015[/C][C]0.00119546179760507[/C][/ROW]
[ROW][C]111[/C][C]0.998705907051186[/C][C]0.00258818589762832[/C][C]0.00129409294881416[/C][/ROW]
[ROW][C]112[/C][C]0.99894906424645[/C][C]0.00210187150709973[/C][C]0.00105093575354986[/C][/ROW]
[ROW][C]113[/C][C]0.998678548557775[/C][C]0.00264290288444918[/C][C]0.00132145144222459[/C][/ROW]
[ROW][C]114[/C][C]0.998465046834638[/C][C]0.00306990633072415[/C][C]0.00153495316536208[/C][/ROW]
[ROW][C]115[/C][C]0.998309642979665[/C][C]0.0033807140406697[/C][C]0.00169035702033485[/C][/ROW]
[ROW][C]116[/C][C]0.997887608443744[/C][C]0.00422478311251134[/C][C]0.00211239155625567[/C][/ROW]
[ROW][C]117[/C][C]0.997253726331789[/C][C]0.00549254733642129[/C][C]0.00274627366821065[/C][/ROW]
[ROW][C]118[/C][C]0.997238057947217[/C][C]0.00552388410556598[/C][C]0.00276194205278299[/C][/ROW]
[ROW][C]119[/C][C]0.999126564331268[/C][C]0.0017468713374649[/C][C]0.000873435668732448[/C][/ROW]
[ROW][C]120[/C][C]0.999033718456999[/C][C]0.00193256308600276[/C][C]0.00096628154300138[/C][/ROW]
[ROW][C]121[/C][C]0.998830429912744[/C][C]0.00233914017451176[/C][C]0.00116957008725588[/C][/ROW]
[ROW][C]122[/C][C]0.998976264637482[/C][C]0.00204747072503667[/C][C]0.00102373536251834[/C][/ROW]
[ROW][C]123[/C][C]0.998940733887941[/C][C]0.00211853222411722[/C][C]0.00105926611205861[/C][/ROW]
[ROW][C]124[/C][C]0.998739379197977[/C][C]0.00252124160404697[/C][C]0.00126062080202349[/C][/ROW]
[ROW][C]125[/C][C]0.998419828818112[/C][C]0.003160342363777[/C][C]0.0015801711818885[/C][/ROW]
[ROW][C]126[/C][C]0.998616219089581[/C][C]0.00276756182083708[/C][C]0.00138378091041854[/C][/ROW]
[ROW][C]127[/C][C]0.998770780899192[/C][C]0.0024584382016158[/C][C]0.0012292191008079[/C][/ROW]
[ROW][C]128[/C][C]0.998462661983375[/C][C]0.003074676033251[/C][C]0.0015373380166255[/C][/ROW]
[ROW][C]129[/C][C]0.998792115637082[/C][C]0.00241576872583646[/C][C]0.00120788436291823[/C][/ROW]
[ROW][C]130[/C][C]0.999441821082998[/C][C]0.00111635783400449[/C][C]0.000558178917002244[/C][/ROW]
[ROW][C]131[/C][C]0.999426552244723[/C][C]0.00114689551055449[/C][C]0.000573447755277244[/C][/ROW]
[ROW][C]132[/C][C]0.999350522436089[/C][C]0.00129895512782207[/C][C]0.000649477563911034[/C][/ROW]
[ROW][C]133[/C][C]0.999332826045266[/C][C]0.0013343479094685[/C][C]0.000667173954734248[/C][/ROW]
[ROW][C]134[/C][C]0.999331866218066[/C][C]0.00133626756386697[/C][C]0.000668133781933484[/C][/ROW]
[ROW][C]135[/C][C]0.999773903447627[/C][C]0.00045219310474634[/C][C]0.00022609655237317[/C][/ROW]
[ROW][C]136[/C][C]0.999751315622943[/C][C]0.000497368754114423[/C][C]0.000248684377057212[/C][/ROW]
[ROW][C]137[/C][C]0.999896884995181[/C][C]0.000206230009637279[/C][C]0.00010311500481864[/C][/ROW]
[ROW][C]138[/C][C]0.999886664045404[/C][C]0.000226671909191612[/C][C]0.000113335954595806[/C][/ROW]
[ROW][C]139[/C][C]0.999875625105737[/C][C]0.000248749788525494[/C][C]0.000124374894262747[/C][/ROW]
[ROW][C]140[/C][C]0.999893963774689[/C][C]0.000212072450621941[/C][C]0.00010603622531097[/C][/ROW]
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[ROW][C]143[/C][C]0.99984205331629[/C][C]0.0003158933674194[/C][C]0.0001579466837097[/C][/ROW]
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[ROW][C]146[/C][C]0.999852737932192[/C][C]0.000294524135616533[/C][C]0.000147262067808267[/C][/ROW]
[ROW][C]147[/C][C]0.999939518173376[/C][C]0.000120963653248029[/C][C]6.04818266240143e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999926622299973[/C][C]0.00014675540005378[/C][C]7.33777000268898e-05[/C][/ROW]
[ROW][C]149[/C][C]0.999924716173481[/C][C]0.00015056765303845[/C][C]7.52838265192248e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999955374893563[/C][C]8.92502128735476e-05[/C][C]4.46251064367738e-05[/C][/ROW]
[ROW][C]151[/C][C]0.999977896868364[/C][C]4.42062632716419e-05[/C][C]2.2103131635821e-05[/C][/ROW]
[ROW][C]152[/C][C]0.999992566385597[/C][C]1.48672288060803e-05[/C][C]7.43361440304014e-06[/C][/ROW]
[ROW][C]153[/C][C]0.999991642823158[/C][C]1.67143536842878e-05[/C][C]8.35717684214389e-06[/C][/ROW]
[ROW][C]154[/C][C]0.999992544399404[/C][C]1.49112011928395e-05[/C][C]7.45560059641973e-06[/C][/ROW]
[ROW][C]155[/C][C]0.999990860293309[/C][C]1.82794133815031e-05[/C][C]9.13970669075153e-06[/C][/ROW]
[ROW][C]156[/C][C]0.999993245087[/C][C]1.35098259996795e-05[/C][C]6.75491299983975e-06[/C][/ROW]
[ROW][C]157[/C][C]0.999993190448214[/C][C]1.36191035723783e-05[/C][C]6.80955178618915e-06[/C][/ROW]
[ROW][C]158[/C][C]0.999991450302621[/C][C]1.70993947573156e-05[/C][C]8.54969737865778e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999992849113741[/C][C]1.43017725179604e-05[/C][C]7.15088625898019e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999991219085839[/C][C]1.75618283221001e-05[/C][C]8.78091416105005e-06[/C][/ROW]
[ROW][C]161[/C][C]0.999987213270278[/C][C]2.55734594442145e-05[/C][C]1.27867297221073e-05[/C][/ROW]
[ROW][C]162[/C][C]0.999984732208613[/C][C]3.05355827741203e-05[/C][C]1.52677913870602e-05[/C][/ROW]
[ROW][C]163[/C][C]0.999988017284887[/C][C]2.39654302258105e-05[/C][C]1.19827151129052e-05[/C][/ROW]
[ROW][C]164[/C][C]0.999982954946295[/C][C]3.40901074091819e-05[/C][C]1.7045053704591e-05[/C][/ROW]
[ROW][C]165[/C][C]0.999985494914949[/C][C]2.90101701018906e-05[/C][C]1.45050850509453e-05[/C][/ROW]
[ROW][C]166[/C][C]0.999988073735164[/C][C]2.38525296718502e-05[/C][C]1.19262648359251e-05[/C][/ROW]
[ROW][C]167[/C][C]0.999989434455016[/C][C]2.11310899680148e-05[/C][C]1.05655449840074e-05[/C][/ROW]
[ROW][C]168[/C][C]0.999984562259094[/C][C]3.08754818110293e-05[/C][C]1.54377409055147e-05[/C][/ROW]
[ROW][C]169[/C][C]0.999978237944845[/C][C]4.35241103105275e-05[/C][C]2.17620551552638e-05[/C][/ROW]
[ROW][C]170[/C][C]0.999984476732359[/C][C]3.10465352821181e-05[/C][C]1.5523267641059e-05[/C][/ROW]
[ROW][C]171[/C][C]0.999977277091737[/C][C]4.54458165253436e-05[/C][C]2.27229082626718e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999973510414316[/C][C]5.29791713674529e-05[/C][C]2.64895856837264e-05[/C][/ROW]
[ROW][C]173[/C][C]0.999966219993653[/C][C]6.75600126950243e-05[/C][C]3.37800063475122e-05[/C][/ROW]
[ROW][C]174[/C][C]0.999963407374278[/C][C]7.31852514438717e-05[/C][C]3.65926257219358e-05[/C][/ROW]
[ROW][C]175[/C][C]0.999979340056926[/C][C]4.13198861489305e-05[/C][C]2.06599430744652e-05[/C][/ROW]
[ROW][C]176[/C][C]0.99997399963595[/C][C]5.20007280999203e-05[/C][C]2.60003640499601e-05[/C][/ROW]
[ROW][C]177[/C][C]0.999965785048931[/C][C]6.84299021377714e-05[/C][C]3.42149510688857e-05[/C][/ROW]
[ROW][C]178[/C][C]0.999957173593589[/C][C]8.56528128226213e-05[/C][C]4.28264064113106e-05[/C][/ROW]
[ROW][C]179[/C][C]0.999939391823096[/C][C]0.000121216353808304[/C][C]6.06081769041519e-05[/C][/ROW]
[ROW][C]180[/C][C]0.999917421959799[/C][C]0.000165156080402321[/C][C]8.25780402011605e-05[/C][/ROW]
[ROW][C]181[/C][C]0.99997080254948[/C][C]5.83949010408149e-05[/C][C]2.91974505204075e-05[/C][/ROW]
[ROW][C]182[/C][C]0.999959236787146[/C][C]8.15264257085177e-05[/C][C]4.07632128542589e-05[/C][/ROW]
[ROW][C]183[/C][C]0.999984192411187[/C][C]3.16151776257841e-05[/C][C]1.5807588812892e-05[/C][/ROW]
[ROW][C]184[/C][C]0.999982770885222[/C][C]3.44582295561799e-05[/C][C]1.72291147780899e-05[/C][/ROW]
[ROW][C]185[/C][C]0.999994481453008[/C][C]1.10370939846988e-05[/C][C]5.51854699234941e-06[/C][/ROW]
[ROW][C]186[/C][C]0.999998220931418[/C][C]3.55813716323082e-06[/C][C]1.77906858161541e-06[/C][/ROW]
[ROW][C]187[/C][C]0.999998708603259[/C][C]2.58279348135015e-06[/C][C]1.29139674067507e-06[/C][/ROW]
[ROW][C]188[/C][C]0.99999959347996[/C][C]8.13040079627329e-07[/C][C]4.06520039813665e-07[/C][/ROW]
[ROW][C]189[/C][C]0.999999372910474[/C][C]1.25417905194026e-06[/C][C]6.27089525970131e-07[/C][/ROW]
[ROW][C]190[/C][C]0.999999974734617[/C][C]5.05307654332849e-08[/C][C]2.52653827166424e-08[/C][/ROW]
[ROW][C]191[/C][C]0.99999996340047[/C][C]7.31990601046833e-08[/C][C]3.65995300523417e-08[/C][/ROW]
[ROW][C]192[/C][C]0.999999939707986[/C][C]1.20584027453073e-07[/C][C]6.02920137265363e-08[/C][/ROW]
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[ROW][C]194[/C][C]0.999999955726702[/C][C]8.85465951804419e-08[/C][C]4.42732975902209e-08[/C][/ROW]
[ROW][C]195[/C][C]0.999999934165769[/C][C]1.31668462641765e-07[/C][C]6.58342313208826e-08[/C][/ROW]
[ROW][C]196[/C][C]0.999999935486859[/C][C]1.29026282788229e-07[/C][C]6.45131413941146e-08[/C][/ROW]
[ROW][C]197[/C][C]0.999999916866907[/C][C]1.66266186276868e-07[/C][C]8.31330931384342e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999932430669[/C][C]1.3513866245122e-07[/C][C]6.756933122561e-08[/C][/ROW]
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[ROW][C]200[/C][C]0.999999883676217[/C][C]2.32647566657635e-07[/C][C]1.16323783328817e-07[/C][/ROW]
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[ROW][C]202[/C][C]0.999999958138226[/C][C]8.37235486374281e-08[/C][C]4.1861774318714e-08[/C][/ROW]
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[ROW][C]204[/C][C]0.999999894103386[/C][C]2.11793227429455e-07[/C][C]1.05896613714727e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999839049097[/C][C]3.21901806302062e-07[/C][C]1.60950903151031e-07[/C][/ROW]
[ROW][C]206[/C][C]0.999999868897901[/C][C]2.62204197618781e-07[/C][C]1.3110209880939e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999781445157[/C][C]4.37109685012506e-07[/C][C]2.18554842506253e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999662542347[/C][C]6.74915306262415e-07[/C][C]3.37457653131207e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999453893406[/C][C]1.09221318700372e-06[/C][C]5.46106593501858e-07[/C][/ROW]
[ROW][C]210[/C][C]0.999999576278184[/C][C]8.47443632017258e-07[/C][C]4.23721816008629e-07[/C][/ROW]
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[ROW][C]217[/C][C]0.999999463880996[/C][C]1.07223800865738e-06[/C][C]5.36119004328689e-07[/C][/ROW]
[ROW][C]218[/C][C]0.999999227922518[/C][C]1.5441549632338e-06[/C][C]7.72077481616902e-07[/C][/ROW]
[ROW][C]219[/C][C]0.999998823022124[/C][C]2.35395575136865e-06[/C][C]1.17697787568433e-06[/C][/ROW]
[ROW][C]220[/C][C]0.999998402874987[/C][C]3.19425002575924e-06[/C][C]1.59712501287962e-06[/C][/ROW]
[ROW][C]221[/C][C]0.999998173391282[/C][C]3.6532174353455e-06[/C][C]1.82660871767275e-06[/C][/ROW]
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[ROW][C]223[/C][C]0.999995253996048[/C][C]9.49200790346735e-06[/C][C]4.74600395173368e-06[/C][/ROW]
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[ROW][C]225[/C][C]0.999994763479946[/C][C]1.04730401078971e-05[/C][C]5.23652005394856e-06[/C][/ROW]
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[ROW][C]273[/C][C]0.897491568255022[/C][C]0.205016863489956[/C][C]0.102508431744978[/C][/ROW]
[ROW][C]274[/C][C]0.851508335327206[/C][C]0.296983329345589[/C][C]0.148491664672794[/C][/ROW]
[ROW][C]275[/C][C]0.803568072924995[/C][C]0.39286385415001[/C][C]0.196431927075005[/C][/ROW]
[ROW][C]276[/C][C]0.836422140892281[/C][C]0.327155718215438[/C][C]0.163577859107719[/C][/ROW]
[ROW][C]277[/C][C]0.760320037335782[/C][C]0.479359925328436[/C][C]0.239679962664218[/C][/ROW]
[ROW][C]278[/C][C]0.903247479682069[/C][C]0.193505040635863[/C][C]0.0967525203179313[/C][/ROW]
[ROW][C]279[/C][C]0.837908928645239[/C][C]0.324182142709521[/C][C]0.162091071354761[/C][/ROW]
[ROW][C]280[/C][C]0.741607323842382[/C][C]0.516785352315236[/C][C]0.258392676157618[/C][/ROW]
[ROW][C]281[/C][C]0.648131156389349[/C][C]0.703737687221301[/C][C]0.351868843610651[/C][/ROW]
[ROW][C]282[/C][C]0.648409832807534[/C][C]0.703180334384932[/C][C]0.351590167192466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160023&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160023&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
70.5951320885504240.8097358228991530.404867911449576
80.4884013212630080.9768026425260160.511598678736992
90.3827862195718630.7655724391437260.617213780428137
100.3082819967363570.6165639934727130.691718003263643
110.2239228056035730.4478456112071470.776077194396427
120.3866258706279020.7732517412558030.613374129372098
130.8729182820601010.2541634358797980.127081717939899
140.8384178209361130.3231643581277750.161582179063887
150.8533035562476950.293392887504610.146696443752305
160.8287766988569770.3424466022860470.171223301143023
170.8051248373771990.3897503252456030.194875162622801
180.7602223897010620.4795552205978760.239777610298938
190.7244886921130140.5510226157739720.275511307886986
200.7250196364209260.5499607271581480.274980363579074
210.6842495506903240.6315008986193530.315750449309676
220.6498240355653780.7003519288692440.350175964434622
230.599644532683260.800710934633480.40035546731674
240.5340881067786070.9318237864427870.465911893221393
250.6201327929701280.7597344140597450.379867207029872
260.5613472430875280.8773055138249430.438652756912472
270.5056720469960080.9886559060079840.494327953003992
280.4718762873246650.943752574649330.528123712675335
290.4159249365026840.8318498730053690.584075063497316
300.3631478003654440.7262956007308890.636852199634556
310.3215787962805280.6431575925610560.678421203719472
320.2823143756839480.5646287513678970.717685624316052
330.3432187800264220.6864375600528440.656781219973578
340.3909331427325660.7818662854651310.609066857267434
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430.5954839961242320.8090320077515370.404516003875769
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450.5414935745771490.9170128508457020.458506425422851
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500.654577547067940.690844905864120.34542245293206
510.614770017173470.770459965653060.38522998282653
520.6090801219861470.7818397560277060.390919878013853
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540.5720334993035230.8559330013929540.427966500696477
550.543695512564920.9126089748701590.45630448743508
560.5055882952111820.9888234095776370.494411704788818
570.585687682253930.8286246354921390.41431231774607
580.5837692417957390.8324615164085230.416230758204261
590.5439075489045650.912184902190870.456092451095435
600.5464161016415280.9071677967169450.453583898358472
610.5080452982937410.9839094034125180.491954701706259
620.4876966320158150.9753932640316290.512303367984185
630.7256119511915310.5487760976169380.274388048808469
640.6955541648866190.6088916702267620.304445835113381
650.8371355768955680.3257288462088650.162864423104433
660.8133837798501060.3732324402997870.186616220149893
670.7863331560885390.4273336878229210.213666843911461
680.75772160607880.4845567878424010.2422783939212
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700.9418895799939740.1162208400120520.0581104200060261
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730.9038441380068090.1923117239863830.0961558619931913
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840.9125501803271260.1748996393457480.0874498196728742
850.9130393195994020.1739213608011970.0869606804005985
860.9028915660437090.1942168679125830.0971084339562914
870.9063198887150.1873602225699990.0936801112849997
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1080.9803256197653630.03934876046927440.0196743802346372
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1800.9999174219597990.0001651560804023218.25780402011605e-05
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1830.9999841924111873.16151776257841e-051.5807588812892e-05
1840.9999827708852223.44582295561799e-051.72291147780899e-05
1850.9999944814530081.10370939846988e-055.51854699234941e-06
1860.9999982209314183.55813716323082e-061.77906858161541e-06
1870.9999987086032592.58279348135015e-061.29139674067507e-06
1880.999999593479968.13040079627329e-074.06520039813665e-07
1890.9999993729104741.25417905194026e-066.27089525970131e-07
1900.9999999747346175.05307654332849e-082.52653827166424e-08
1910.999999963400477.31990601046833e-083.65995300523417e-08
1920.9999999397079861.20584027453073e-076.02920137265363e-08
1930.999999929566621.40866760135333e-077.04333800676664e-08
1940.9999999557267028.85465951804419e-084.42732975902209e-08
1950.9999999341657691.31668462641765e-076.58342313208826e-08
1960.9999999354868591.29026282788229e-076.45131413941146e-08
1970.9999999168669071.66266186276868e-078.31330931384342e-08
1980.9999999324306691.3513866245122e-076.756933122561e-08
1990.9999999026191421.94761716658757e-079.73808583293785e-08
2000.9999998836762172.32647566657635e-071.16323783328817e-07
2010.9999998091074683.81785063425399e-071.908925317127e-07
2020.9999999581382268.37235486374281e-084.1861774318714e-08
2030.9999999363457931.27308414168739e-076.36542070843693e-08
2040.9999998941033862.11793227429455e-071.05896613714727e-07
2050.9999998390490973.21901806302062e-071.60950903151031e-07
2060.9999998688979012.62204197618781e-071.3110209880939e-07
2070.9999997814451574.37109685012506e-072.18554842506253e-07
2080.9999996625423476.74915306262415e-073.37457653131207e-07
2090.9999994538934061.09221318700372e-065.46106593501858e-07
2100.9999995762781848.47443632017258e-074.23721816008629e-07
2110.9999996618369776.7632604702367e-073.38163023511835e-07
2120.9999994356488761.12870224842102e-065.64351124210508e-07
2130.9999992756802181.44863956461885e-067.24319782309427e-07
2140.9999987904784952.41904301047588e-061.20952150523794e-06
2150.999999060144831.87971033971939e-069.39855169859696e-07
2160.9999996711436136.57712774207433e-073.28856387103717e-07
2170.9999994638809961.07223800865738e-065.36119004328689e-07
2180.9999992279225181.5441549632338e-067.72077481616902e-07
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2200.9999984028749873.19425002575924e-061.59712501287962e-06
2210.9999981733912823.6532174353455e-061.82660871767275e-06
2220.999997125908345.74818331928732e-062.87409165964366e-06
2230.9999952539960489.49200790346735e-064.74600395173368e-06
2240.9999931752645581.36494708835205e-056.82473544176024e-06
2250.9999947634799461.04730401078971e-055.23652005394856e-06
2260.9999953194992069.36100158812319e-064.6805007940616e-06
2270.9999981785500113.64289997781236e-061.82144998890618e-06
2280.9999971867210835.62655783321783e-062.81327891660891e-06
2290.9999952535405889.49291882348704e-064.74645941174352e-06
2300.9999947820012351.0435997529615e-055.21799876480749e-06
2310.9999967556098066.48878038736132e-063.24439019368066e-06
2320.9999946006482961.07987034083359e-055.39935170416797e-06
2330.999993418218091.31635638200843e-056.58178191004216e-06
2340.9999924774267651.50451464690471e-057.52257323452357e-06
2350.9999889955439092.20089121814394e-051.10044560907197e-05
2360.9999842739680633.1452063873092e-051.5726031936546e-05
2370.9999773842432094.52315135821109e-052.26157567910555e-05
2380.999972831190875.43376182592896e-052.71688091296448e-05
2390.9999639573431067.20853137871596e-053.60426568935798e-05
2400.9999466784122040.0001066431755924195.33215877962096e-05
2410.9999112727989820.0001774544020353548.8727201017677e-05
2420.999942021972690.0001159560546194945.79780273097469e-05
2430.9999017650658680.0001964698682636359.82349341318176e-05
2440.9998361585747130.0003276828505741110.000163841425287056
2450.9997297591608890.0005404816782214870.000270240839110743
2460.9995675491798790.0008649016402424980.000432450820121249
2470.9995534050070020.0008931899859968260.000446594992998413
2480.9992816919311970.001436616137606360.000718308068803182
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2500.9997869703778290.0004260592443409470.000213029622170474
2510.999632502990460.0007349940190800180.000367497009540009
2520.9994226404217680.001154719156463740.000577359578231871
2530.999703559764980.0005928804700393330.000296440235019666
2540.9994959630371290.001008073925741620.000504036962870812
2550.9992678987032180.001464202593563610.000732101296781807
2560.9992820480600320.001435903879936630.000717951939968313
2570.9989629459434550.002074108113090820.00103705405654541
2580.998342231410280.003315537179439690.00165776858971985
2590.9980924764683870.003815047063226830.00190752353161341
2600.9970711849613410.005857630077318690.00292881503865934
2610.9983723027124820.003255394575035010.00162769728751751
2620.9973574161948940.005285167610211920.00264258380510596
2630.9956175175598660.008764964880268850.00438248244013443
2640.9927539226963790.01449215460724190.00724607730362096
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2660.9818767078047050.03624658439059040.0181232921952952
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2730.8974915682550220.2050168634899560.102508431744978
2740.8515083353272060.2969833293455890.148491664672794
2750.8035680729249950.392863854150010.196431927075005
2760.8364221408922810.3271557182154380.163577859107719
2770.7603200373357820.4793599253284360.239679962664218
2780.9032474796820690.1935050406358630.0967525203179313
2790.8379089286452390.3241821427095210.162091071354761
2800.7416073238423820.5167853523152360.258392676157618
2810.6481311563893490.7037376872213010.351868843610651
2820.6484098328075340.7031803343849320.351590167192466






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1550.561594202898551NOK
5% type I error level1600.579710144927536NOK
10% type I error level1700.615942028985507NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 155 & 0.561594202898551 & NOK \tabularnewline
5% type I error level & 160 & 0.579710144927536 & NOK \tabularnewline
10% type I error level & 170 & 0.615942028985507 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160023&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]155[/C][C]0.561594202898551[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]160[/C][C]0.579710144927536[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]170[/C][C]0.615942028985507[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160023&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160023&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1550.561594202898551NOK
5% type I error level1600.579710144927536NOK
10% type I error level1700.615942028985507NOK


Figures (Output of Computation)

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Input Parameters & R Code

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