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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 21 Dec 2011 03:38:26 -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/21/t1324456722onfsfcd1qqfal9e.htm/, Retrieved Sun, 28 Apr 2024 22:11:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158356, Retrieved Sun, 28 Apr 2024 22:11:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

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]
-    D  [Multiple Regression] [] [2011-11-24 15:23:29] [182e2e10fa38557ff81755a04c8c64c0]
-   PD      [Multiple Regression] [] [2011-12-21 08:38:26] [abd09a04ddc145afbf81a913bd861ab8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	56	81	94
869	56	55	103
1530	54	50	93
2172	89	125	103
901	40	40	51
463	25	37	70
3201	92	63	91
371	18	44	22
1192	63	88	38
1583	44	66	93
1439	33	57	60
1764	84	74	123
1495	88	49	148
1373	55	52	90
2187	60	88	124
1491	66	36	70
4041	154	108	168
1706	53	43	115
2152	119	75	71
1036	41	32	66
1882	61	44	134
1929	58	85	117
2242	75	86	108
1220	33	56	84
1289	40	50	156
2515	92	135	120
2147	100	63	114
2352	112	81	94
1638	73	52	120
1222	40	44	81
1812	45	113	110
1677	60	39	133
1579	62	73	122
1731	75	48	158
807	31	33	109
2452	77	59	124
829	34	41	39
1940	46	69	92
2662	99	64	126
186	17	1	0
1499	66	59	70
865	30	32	37
1793	76	129	38
2527	146	37	120
2747	67	31	93
1324	56	65	95
2702	107	107	77
1383	58	74	90
1179	34	54	80
2099	61	76	31
4308	119	715	110
918	42	57	66
1831	66	66	138
3373	89	106	133
1713	44	54	113
1438	66	32	100
496	24	20	7
2253	259	71	140
744	17	21	61
1161	64	70	41
2352	41	112	96
2144	68	66	164
4691	168	190	78
1112	43	66	49
2694	132	165	102
1973	105	56	124
1769	71	61	99
3148	112	53	129
2474	94	127	62
2084	82	63	73
1954	70	38	114
1226	57	50	99
1389	53	52	70
1496	103	42	104
2269	121	76	116
1833	62	67	91
1268	52	50	74
1943	52	53	138
893	32	39	67
1762	62	50	151
1403	45	77	72
1425	46	57	120
1857	63	73	115
1840	75	34	105
1502	88	39	104
1441	46	46	108
1420	53	63	98
1416	37	35	69
2970	90	106	111
1317	63	43	99
1644	78	47	71
870	25	31	27
1654	45	162	69
1054	46	57	107
937	41	36	73
3004	144	263	107
2008	82	78	93
2547	91	63	129
1885	71	54	69
1626	63	63	118
1468	53	77	73
2445	62	79	119
1964	63	110	104
1381	32	56	107
1369	39	56	99
1659	62	43	90
2888	117	111	197
1290	34	71	36
2845	92	62	85
1982	93	56	139
1904	54	74	106
1391	144	60	50
602	14	43	64
1743	61	68	31
1559	109	53	63
2014	38	87	92
2143	73	46	106
2146	75	105	63
874	50	32	69
1590	61	133	41
1590	55	79	56
1210	77	51	25
2072	75	207	65
1281	72	67	93
1401	50	47	114
834	32	34	38
1105	53	66	44
1272	42	76	87
1944	71	65	110
391	10	9	0
761	35	42	27
1605	65	45	83
530	25	25	30
1988	66	115	80
1386	41	97	98
2395	86	53	82
387	16	2	0
1742	42	52	60
620	19	44	28
449	19	22	9
800	45	35	33
1684	65	74	59
1050	35	103	49
2699	95	144	115
1606	49	60	140
1502	37	134	49
1204	64	89	120
1138	38	42	66
568	34	52	21
1459	32	98	124
2158	65	99	152
1111	52	52	139
1421	62	29	38
2833	65	125	144
1955	83	106	120
2922	95	95	160
1002	29	40	114
1060	18	140	39
956	33	43	78
2186	247	128	119
3604	139	142	141
1035	29	73	101
1417	118	72	56
3261	110	128	133
1587	67	61	83
1424	42	73	116
1701	65	148	90
1249	94	64	36
946	64	45	50
1926	81	58	61
3352	95	97	97
1641	67	50	98
2035	63	37	78
2312	83	50	117
1369	45	105	148
1577	30	69	41
2201	70	46	105
961	32	57	55
1900	83	52	132
1254	31	98	44
1335	67	61	21
1597	66	89	50
207	10	0	0
1645	70	48	73
2429	103	91	86
151	5	0	0
474	20	7	13
141	5	3	4
1639	36	54	57
872	34	70	48
1318	48	36	46
1018	40	37	48
1383	43	123	32
1314	31	247	68
1335	42	46	87
1403	46	72	43
910	33	41	67
616	18	24	46
1407	55	45	46
771	35	33	56
766	59	27	48
473	19	36	44
1376	66	87	60
1232	60	90	65
1521	36	114	55
572	25	31	38
1059	47	45	52
1544	54	69	60
1230	53	51	54
1206	40	34	86
1205	40	60	24
1255	39	45	52
613	14	54	49
721	45	25	61
1109	36	38	61
740	28	52	81
1126	44	67	43
728	30	74	40
689	22	38	40
592	17	30	56
995	31	26	68
1613	55	67	79
2048	54	132	47
705	21	42	57
301	14	35	41
1803	81	118	29
799	35	68	3
861	43	43	60
1186	46	76	30
1451	30	64	79
628	23	48	47
1161	38	64	40
1463	54	56	48
742	20	71	36
979	53	75	42
675	45	39	49
1241	39	42	57
676	20	39	12
1049	24	93	40
620	31	38	43
1081	35	60	33
1688	151	71	77
736	52	52	43
617	30	27	45
812	31	59	47
1051	29	40	43
1656	57	79	45
705	40	44	50
945	44	65	35
554	25	10	7
1597	77	124	71
982	35	81	67
222	11	15	0
1212	63	92	62
1143	44	42	54
435	19	10	4
532	13	24	25
882	42	64	40
608	38	45	38
459	29	22	19
578	20	56	17
826	27	94	67
509	20	19	14
717	19	35	30
637	37	32	54
857	26	35	35
830	42	48	59
652	49	49	24
707	30	48	58
954	49	62	42
1461	67	96	46
672	28	45	61
778	19	63	3
1141	49	71	52
680	27	26	25
1090	30	48	40
616	22	29	32
285	12	19	4
1145	31	45	49
733	20	45	63
888	20	67	67
849	39	30	32
1182	29	36	23
528	16	34	7
642	27	36	54
947	21	34	37
819	19	37	35
757	35	46	51
894	14	44	39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158356&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158356&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158356&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
feedback_messages_p120[t] = + 22.0649208152676 + 0.0376398661371514pageviews[t] + 0.0822294571997138logins[t] -0.123725165086911compendium_views_pr[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
feedback_messages_p120[t] =  +  22.0649208152676 +  0.0376398661371514pageviews[t] +  0.0822294571997138logins[t] -0.123725165086911compendium_views_pr[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158356&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]feedback_messages_p120[t] =  +  22.0649208152676 +  0.0376398661371514pageviews[t] +  0.0822294571997138logins[t] -0.123725165086911compendium_views_pr[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158356&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158356&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
feedback_messages_p120[t] = + 22.0649208152676 + 0.0376398661371514pageviews[t] + 0.0822294571997138logins[t] -0.123725165086911compendium_views_pr[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)22.06492081526763.6733696.006700
pageviews0.03763986613715140.0039099.630100
logins0.08222945719971380.076171.07960.2812550.140627
compendium_views_pr-0.1237251650869110.038637-3.20220.0015180.000759

\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) & 22.0649208152676 & 3.673369 & 6.0067 & 0 & 0 \tabularnewline
pageviews & 0.0376398661371514 & 0.003909 & 9.6301 & 0 & 0 \tabularnewline
logins & 0.0822294571997138 & 0.07617 & 1.0796 & 0.281255 & 0.140627 \tabularnewline
compendium_views_pr & -0.123725165086911 & 0.038637 & -3.2022 & 0.001518 & 0.000759 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158356&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]22.0649208152676[/C][C]3.673369[/C][C]6.0067[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]pageviews[/C][C]0.0376398661371514[/C][C]0.003909[/C][C]9.6301[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]logins[/C][C]0.0822294571997138[/C][C]0.07617[/C][C]1.0796[/C][C]0.281255[/C][C]0.140627[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-0.123725165086911[/C][C]0.038637[/C][C]-3.2022[/C][C]0.001518[/C][C]0.000759[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158356&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158356&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)22.06492081526763.6733696.006700
pageviews0.03763986613715140.0039099.630100
logins0.08222945719971380.076171.07960.2812550.140627
compendium_views_pr-0.1237251650869110.038637-3.20220.0015180.000759






Multiple Linear Regression - Regression Statistics
Multiple R0.687570845456044
R-squared0.47275366752114
Adjusted R-squared0.467203706126625
F-TEST (value)85.1814335120273
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28.4414803893613
Sum Squared Residuals230541.57492045

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.687570845456044 \tabularnewline
R-squared & 0.47275366752114 \tabularnewline
Adjusted R-squared & 0.467203706126625 \tabularnewline
F-TEST (value) & 85.1814335120273 \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 & 28.4414803893613 \tabularnewline
Sum Squared Residuals & 230541.57492045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158356&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.687570845456044[/C][/ROW]
[ROW][C]R-squared[/C][C]0.47275366752114[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.467203706126625[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]85.1814335120273[/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]28.4414803893613[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]230541.57492045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158356&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158356&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 R0.687570845456044
R-squared0.47275366752114
Adjusted R-squared0.467203706126625
F-TEST (value)85.1814335120273
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28.4414803893613
Sum Squared Residuals230541.57492045






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
19470.021362228892523.9786377711075
210352.573930011856150.4260699881439
39377.908048439548315.0919515604517
410395.67148612007127.32851387992881
55154.3186118893531-3.31861188935315
67036.970084158545933.0299158414541
791142.320556982188-51.3205569821876
82232.0655341179216-10.0655341179216
93861.2242825266859-23.2242825266859
109377.101064131429615.8989358685704
116071.8899258642651-11.8899258642651
1212386.213256869547336.7867431304527
1314879.510179834625268.4898201653748
149071.833368583041418.1666314169586
1512498.429260961552425.5707390384476
167079.1589994578127-9.1589994578127
17168173.468638454866-5.46863845486607
1811585.316511578095629.6834884219044
1971103.571830767665-32.5718307676651
206660.47202459576365.52797540423641
2113492.47523851074541.5247614892549
2211788.924892079028728.0751079209713
23108101.9803457872656.01965421273469
248463.770520345315920.2294796546841
2515667.685628299698888.3143717003012
26120107.59139692584412.4086030741558
27114103.30597373122810.6940262687723
2894109.781846804176-15.7818468041759
2912083.288063338981436.7119366610186
308165.906108259031115.0938917409689
3111079.987740174952230.0122598250478
3213385.295462320863947.7045376791361
3312277.564558740867544.4354412591325
3415887.447930464483570.5520695355165
3510950.906475513271958.0935244867281
36124113.38975604781310.6102439521869
373950.9914396191931-11.9914396191931
389290.33177976153141.66822023846864
39126122.4845501695743.51544983042592
40030.340111524086-30.340111524086
417076.614439589911-6.61443958991096
423753.1310834571138-16.1310834571138
433879.8420932501469-41.8420932501469
44120124.608532186792-4.60853218679177
4593127.135526608709-34.1355266087092
469568.462817453390926.5371825466091
4777119.327798373921-42.3277983739207
489069.734501984120.2654980159
498062.556965621066217.4430343789338
503196.6838841797258-65.6838841797258
51110105.5392765037414.46072349625928
526653.019620721606712.9803792783933
5313888.244798991836949.7552010081631
54133143.227743487441-10.2277434874413
5511383.478948710302229.5210512896978
5610077.658987212891322.3410127871087
57740.2332980903496-33.2332980903496
58140119.38048191582520.619518084175
596148.868653526878312.1313464731217
604162.3667291051983-21.3667291051983
6196100.108075225302-4.10807522530202
62164100.19053600716563.8094639928353
6378188.940300307684-110.940300307684
644959.2904577236316-10.2904577236316
65102113.906356299775-11.9063562997755
6612498.033860464970325.9661395350297
679986.940900402766612.0590995972334
68129143.207484871782-14.207484871782
6962107.202422649316-45.2024226493157
707399.4545319349923-26.4545319349923
7111496.667724977938817.3322750220612
729966.712217505453432.2877824945466
737072.2711475268364-2.2711475268364
7410481.647337714366422.3526622856336
75116108.0164288550247.98357114497566
769187.86743573022543.1325642697746
777467.88194459721526.11805540278481
7813892.917678744531745.0823212554683
796753.483382467745113.5166175322549
8015187.298333040965163.7016669590349
817269.0471408679862.95285913201396
8212072.431950681941347.5680493180587
8311588.110670984195326.8893290158047
8410593.282828184649811.7171718153502
8510481.010910548454322.9890894515457
8610874.395165356091833.6048346439083
879872.077006561132125.9229934388679
886974.0750804038215-5.07508040382155
89111128.141106891369-17.141106891369
909971.496898222740827.5031017772592
917184.5436756472374-13.5436756472374
922753.031860666888-26.0318606668879
936967.97810823602361.02189176397636
9410758.467560345058148.5324396549419
957356.25077718783816.749222812162
96107114.436402110172-7.43640211017176
979394.7380246322652-1.73802463226516
98129117.62185507129111.3781449287091
996992.1732010302845-23.1732010302845
10011880.653113557382437.3468864426176
1017372.15156782449860.848432175501405
102119109.4183318251199.58166817488085
10310487.560305552654816.4396944473452
10410769.748309336197637.2516906638024
1059969.872237142949729.1277628570503
1069084.28750298444695.71249701555309
107197126.6562073870870.3437926129197
1083664.6316629558125-28.6316629558125
10985129.044489802449-44.0444898024486
11013997.385865773808141.6141342261919
11110689.015954412757116.9840455872429
1125078.8395065435894-28.8395065435894
1136440.555150531891623.4448494681084
1143184.2738931555951-53.2738931555951
1156383.1510492082492-20.1510492082492
1169290.23224122651851.76775877348154
117106103.0385467287642.96145327123568
1186396.0161405014475-33.0161405014475
1196955.114431396342513.8855686036575
1204170.4728579059618-29.4728579059618
1215676.6606400774567-20.6606400774567
1222567.6308436261663-42.6308436261663
1236580.6108235684334-15.6108235684334
1249367.912524194514925.0874758054851
12511473.094763374317640.9052366256824
1263851.8812561910878-13.8812561910878
1274459.8492732326686-15.8492732326686
1288763.99335519750723.006644802493
12911093.032976316420416.9670236835796
130036.4908765611087-36.4908765611087
1312748.3904330139796-21.3904330139796
1328382.2541882544660.745811745533951
1333040.9766571707779-10.9766571707779
1348088.091724886111-8.09172488611101
1359865.603842013117432.3961579868826
13682112.726699783314-30.7266997833144
137037.6997699953668-37.6997699953668
1386084.653496244054-24.653496244054
1392841.520090243272-13.520090243272
140937.8056267657311-28.8056267657311
1413351.546758520934-18.546758520934
1425981.6397078917806-22.6397078917806
1434951.7211192573148-2.72111925731477
144115113.6502941808971.34970581910303
14514079.120279329104160.8797206708959
1464965.0633175480124-16.0633175480124
14712061.634465212444558.3655347875555
1486662.82735091928483.17264908071521
1492139.8064577414405-18.8064577414405
15012467.487761961245156.5122380387549
15115296.387875313617655.6121246863824
15213961.725035283508677.2749647164914
1533877.0613671550216-39.0613671550216
154144118.57793066393525.4220693360649
15512089.361036561762330.6389634382377
156160128.1065174187431.8934825812596
15711457.215714340008656.7842856599914
1583946.1217860380755-7.12178603807546
1597855.442022831237822.5579771687623
160119108.81952298828510.1804770117146
161141151.57991948198-10.5799194819802
16210154.374899474666546.6251005253335
1635676.1954751949198-20.1954751949198
164133138.016943449362-5.01694344936234
1658379.76152693700623.23847306299382
16611670.085790345614745.9142096543853
1679073.123923399680816.8760766003192
1683668.8882720317805-32.8882720317805
1695057.3672870128836-7.36728701288355
1706194.0438294535572-33.0438294535572
17197144.044209527542-47.0442095275417
1729883.155056524368414.8449434756316
1737899.264673099737-21.264673099737
174117109.7270780175927.27292198240759
17514864.303080796889483.6969192031106
1764175.35283703855-34.35283703855
177105104.974970593120.0250294068800413
1785553.8158403935071.18415960649295
17913293.972002838912238.0279971610878
1804459.6893599459294-15.6893599459294
1812170.276280670444-49.276280670444
1825076.5913915187445-26.5913915187445
183030.6786676776551-30.6786676776551
1847383.7997546906899-10.7997546906899
18586110.70279973107-24.7027997310701
186028.159687887976-28.159687887976
1871340.6847303526633-27.6847303526633
188427.4121137313438-23.4121137313438
1895780.0357629585553-23.0357629585553
1904849.0219240755702-1.02192407557016
1914671.1671723864906-25.1671723864906
1924859.0936517226606-11.0936517226606
1933262.4385270368457-30.4385270368457
1946843.512702316208724.4872976837913
1958770.076421716754816.9235782832452
1964369.7479961506203-26.7479961506203
1976753.958039319102613.0419606808974
1984643.76180462326192.23819537673814
1994673.9792001873129-27.9792001873129
2005649.88035816113336.11964183886673
2014852.4080167937621-4.40801679376211
2024436.9768312418067.02316875819401
2036068.5204314326078-8.52043143260784
2046562.2357384703992.76426152960098
2055568.1707488491568-13.1707488491568
2063841.8151805580168-3.81518055801682
2075260.2226911139865-8.22269111398652
2086076.0842284288171-16.0842284288171
2095466.4101339761162-12.4101339761162
2108666.541122051705819.4588779482942
2112463.286627893309-39.286627893309
2125266.9422692192705-14.9422692192705
2134939.60821224344429.39178775655577
2146149.810460746968111.1895392530319
2156162.0662365472556-1.06623654725561
2168145.787137973832335.2128620261677
2174359.7759201416645-16.7759201416645
2184042.7779648626739-2.77796486267385
2194045.106280368856-5.10628036885602
2205642.033867388249113.9661326117509
2216858.84884650266479.15115349733529
2227979.0110589796541-0.0110589796540869
2234787.2600355614661-40.260035561466
2245745.131388109503111.8686118904969
2254130.215352145304310.7846478546957
2262981.990616013473-52.990616013473
227346.6038936349316-43.6038936349316
2286052.68853012020557.31146987979449
2293061.0852445385108-31.0852445385108
2307971.22883973070347.77116026929656
2314741.65522634082045.34477365917961
2324060.9711142085272-20.9711142085272
2334874.6438264178377-26.6438264178377
2343642.8538039118576-6.85380391185757
2354253.9931236136054-11.9931236136054
2364946.34687459344242.65312540655759
2375766.7864865886111-9.7864865886111
2381244.3287780295867-32.3287780295867
2394052.0162070128499-12.0162070128499
2404343.24919472019-0.249194720190002
2413358.2081372063036-25.2081372063036
2427789.2331761707653-12.2331761707653
2434347.6100854820768-4.6100854820768
2444544.41502248053490.584977519465149
2454747.877820551698-0.877820551697949
2464359.060067780729-16.060067780729
2474579.3093301569081-34.3093301569081
2485046.44629746612383.55370253387617
2493553.2105547010139-18.2105547010139
250743.7358914343732-36.7358914343732
2517173.1655347698995-2.16553476989946
2526751.883561991900515.1164380080995
253029.4696176506084-29.4696176506084
2546261.48217918908130.517820810918693
2555463.5089269931688-9.50892699316883
256438.7633706208539-34.7633706208539
2572540.1889085817426-15.1889085817426
2584050.7985093850608-10.7985093850608
2593842.5070463713338-4.50704637133381
2601939.0043199990998-20.0043199990998
2611738.5367433416684-21.5367433416684
2626743.745480070777323.2545199292227
2631440.5174236864206-26.5174236864206
2643046.2846837443578-16.2846837443579
2655445.12480017824138.87519982175868
2663552.129871203957-17.129871203957
2675950.82083898731958.17916101268046
2682444.5728238502177-20.5728238502177
2695845.204381966053312.7956180339467
2704254.3316362775076-12.3316362775076
2714670.6885230256832-24.6885230256832
2726144.093703232114416.9062967678856
273345.1164109562906-42.1164109562906
2745260.2567647593727-8.25676475937269
2752546.6633708406632-21.6633708406632
2764059.6204506965824-19.6204506965823
2773243.4720966266262-11.4720966266262
278431.428258014101-27.428258014101
2794962.1440482865861-13.1440482865861
2806345.731899408882917.2681005911171
2816748.844125028229318.1558749717707
2823253.5163610438907-21.5163610438907
2832364.4857909050435-41.4857909050435
284739.047785837924-32.047785837924
2855443.995804276582310.0041957234177
2863755.230037035389-18.230037035389
2873549.8764997601735-14.8764997601735
2885147.74497288908333.25502711091668
2893951.4222662788529-12.4222662788529

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 94 & 70.0213622288925 & 23.9786377711075 \tabularnewline
2 & 103 & 52.5739300118561 & 50.4260699881439 \tabularnewline
3 & 93 & 77.9080484395483 & 15.0919515604517 \tabularnewline
4 & 103 & 95.6714861200712 & 7.32851387992881 \tabularnewline
5 & 51 & 54.3186118893531 & -3.31861188935315 \tabularnewline
6 & 70 & 36.9700841585459 & 33.0299158414541 \tabularnewline
7 & 91 & 142.320556982188 & -51.3205569821876 \tabularnewline
8 & 22 & 32.0655341179216 & -10.0655341179216 \tabularnewline
9 & 38 & 61.2242825266859 & -23.2242825266859 \tabularnewline
10 & 93 & 77.1010641314296 & 15.8989358685704 \tabularnewline
11 & 60 & 71.8899258642651 & -11.8899258642651 \tabularnewline
12 & 123 & 86.2132568695473 & 36.7867431304527 \tabularnewline
13 & 148 & 79.5101798346252 & 68.4898201653748 \tabularnewline
14 & 90 & 71.8333685830414 & 18.1666314169586 \tabularnewline
15 & 124 & 98.4292609615524 & 25.5707390384476 \tabularnewline
16 & 70 & 79.1589994578127 & -9.1589994578127 \tabularnewline
17 & 168 & 173.468638454866 & -5.46863845486607 \tabularnewline
18 & 115 & 85.3165115780956 & 29.6834884219044 \tabularnewline
19 & 71 & 103.571830767665 & -32.5718307676651 \tabularnewline
20 & 66 & 60.4720245957636 & 5.52797540423641 \tabularnewline
21 & 134 & 92.475238510745 & 41.5247614892549 \tabularnewline
22 & 117 & 88.9248920790287 & 28.0751079209713 \tabularnewline
23 & 108 & 101.980345787265 & 6.01965421273469 \tabularnewline
24 & 84 & 63.7705203453159 & 20.2294796546841 \tabularnewline
25 & 156 & 67.6856282996988 & 88.3143717003012 \tabularnewline
26 & 120 & 107.591396925844 & 12.4086030741558 \tabularnewline
27 & 114 & 103.305973731228 & 10.6940262687723 \tabularnewline
28 & 94 & 109.781846804176 & -15.7818468041759 \tabularnewline
29 & 120 & 83.2880633389814 & 36.7119366610186 \tabularnewline
30 & 81 & 65.9061082590311 & 15.0938917409689 \tabularnewline
31 & 110 & 79.9877401749522 & 30.0122598250478 \tabularnewline
32 & 133 & 85.2954623208639 & 47.7045376791361 \tabularnewline
33 & 122 & 77.5645587408675 & 44.4354412591325 \tabularnewline
34 & 158 & 87.4479304644835 & 70.5520695355165 \tabularnewline
35 & 109 & 50.9064755132719 & 58.0935244867281 \tabularnewline
36 & 124 & 113.389756047813 & 10.6102439521869 \tabularnewline
37 & 39 & 50.9914396191931 & -11.9914396191931 \tabularnewline
38 & 92 & 90.3317797615314 & 1.66822023846864 \tabularnewline
39 & 126 & 122.484550169574 & 3.51544983042592 \tabularnewline
40 & 0 & 30.340111524086 & -30.340111524086 \tabularnewline
41 & 70 & 76.614439589911 & -6.61443958991096 \tabularnewline
42 & 37 & 53.1310834571138 & -16.1310834571138 \tabularnewline
43 & 38 & 79.8420932501469 & -41.8420932501469 \tabularnewline
44 & 120 & 124.608532186792 & -4.60853218679177 \tabularnewline
45 & 93 & 127.135526608709 & -34.1355266087092 \tabularnewline
46 & 95 & 68.4628174533909 & 26.5371825466091 \tabularnewline
47 & 77 & 119.327798373921 & -42.3277983739207 \tabularnewline
48 & 90 & 69.7345019841 & 20.2654980159 \tabularnewline
49 & 80 & 62.5569656210662 & 17.4430343789338 \tabularnewline
50 & 31 & 96.6838841797258 & -65.6838841797258 \tabularnewline
51 & 110 & 105.539276503741 & 4.46072349625928 \tabularnewline
52 & 66 & 53.0196207216067 & 12.9803792783933 \tabularnewline
53 & 138 & 88.2447989918369 & 49.7552010081631 \tabularnewline
54 & 133 & 143.227743487441 & -10.2277434874413 \tabularnewline
55 & 113 & 83.4789487103022 & 29.5210512896978 \tabularnewline
56 & 100 & 77.6589872128913 & 22.3410127871087 \tabularnewline
57 & 7 & 40.2332980903496 & -33.2332980903496 \tabularnewline
58 & 140 & 119.380481915825 & 20.619518084175 \tabularnewline
59 & 61 & 48.8686535268783 & 12.1313464731217 \tabularnewline
60 & 41 & 62.3667291051983 & -21.3667291051983 \tabularnewline
61 & 96 & 100.108075225302 & -4.10807522530202 \tabularnewline
62 & 164 & 100.190536007165 & 63.8094639928353 \tabularnewline
63 & 78 & 188.940300307684 & -110.940300307684 \tabularnewline
64 & 49 & 59.2904577236316 & -10.2904577236316 \tabularnewline
65 & 102 & 113.906356299775 & -11.9063562997755 \tabularnewline
66 & 124 & 98.0338604649703 & 25.9661395350297 \tabularnewline
67 & 99 & 86.9409004027666 & 12.0590995972334 \tabularnewline
68 & 129 & 143.207484871782 & -14.207484871782 \tabularnewline
69 & 62 & 107.202422649316 & -45.2024226493157 \tabularnewline
70 & 73 & 99.4545319349923 & -26.4545319349923 \tabularnewline
71 & 114 & 96.6677249779388 & 17.3322750220612 \tabularnewline
72 & 99 & 66.7122175054534 & 32.2877824945466 \tabularnewline
73 & 70 & 72.2711475268364 & -2.2711475268364 \tabularnewline
74 & 104 & 81.6473377143664 & 22.3526622856336 \tabularnewline
75 & 116 & 108.016428855024 & 7.98357114497566 \tabularnewline
76 & 91 & 87.8674357302254 & 3.1325642697746 \tabularnewline
77 & 74 & 67.8819445972152 & 6.11805540278481 \tabularnewline
78 & 138 & 92.9176787445317 & 45.0823212554683 \tabularnewline
79 & 67 & 53.4833824677451 & 13.5166175322549 \tabularnewline
80 & 151 & 87.2983330409651 & 63.7016669590349 \tabularnewline
81 & 72 & 69.047140867986 & 2.95285913201396 \tabularnewline
82 & 120 & 72.4319506819413 & 47.5680493180587 \tabularnewline
83 & 115 & 88.1106709841953 & 26.8893290158047 \tabularnewline
84 & 105 & 93.2828281846498 & 11.7171718153502 \tabularnewline
85 & 104 & 81.0109105484543 & 22.9890894515457 \tabularnewline
86 & 108 & 74.3951653560918 & 33.6048346439083 \tabularnewline
87 & 98 & 72.0770065611321 & 25.9229934388679 \tabularnewline
88 & 69 & 74.0750804038215 & -5.07508040382155 \tabularnewline
89 & 111 & 128.141106891369 & -17.141106891369 \tabularnewline
90 & 99 & 71.4968982227408 & 27.5031017772592 \tabularnewline
91 & 71 & 84.5436756472374 & -13.5436756472374 \tabularnewline
92 & 27 & 53.031860666888 & -26.0318606668879 \tabularnewline
93 & 69 & 67.9781082360236 & 1.02189176397636 \tabularnewline
94 & 107 & 58.4675603450581 & 48.5324396549419 \tabularnewline
95 & 73 & 56.250777187838 & 16.749222812162 \tabularnewline
96 & 107 & 114.436402110172 & -7.43640211017176 \tabularnewline
97 & 93 & 94.7380246322652 & -1.73802463226516 \tabularnewline
98 & 129 & 117.621855071291 & 11.3781449287091 \tabularnewline
99 & 69 & 92.1732010302845 & -23.1732010302845 \tabularnewline
100 & 118 & 80.6531135573824 & 37.3468864426176 \tabularnewline
101 & 73 & 72.1515678244986 & 0.848432175501405 \tabularnewline
102 & 119 & 109.418331825119 & 9.58166817488085 \tabularnewline
103 & 104 & 87.5603055526548 & 16.4396944473452 \tabularnewline
104 & 107 & 69.7483093361976 & 37.2516906638024 \tabularnewline
105 & 99 & 69.8722371429497 & 29.1277628570503 \tabularnewline
106 & 90 & 84.2875029844469 & 5.71249701555309 \tabularnewline
107 & 197 & 126.65620738708 & 70.3437926129197 \tabularnewline
108 & 36 & 64.6316629558125 & -28.6316629558125 \tabularnewline
109 & 85 & 129.044489802449 & -44.0444898024486 \tabularnewline
110 & 139 & 97.3858657738081 & 41.6141342261919 \tabularnewline
111 & 106 & 89.0159544127571 & 16.9840455872429 \tabularnewline
112 & 50 & 78.8395065435894 & -28.8395065435894 \tabularnewline
113 & 64 & 40.5551505318916 & 23.4448494681084 \tabularnewline
114 & 31 & 84.2738931555951 & -53.2738931555951 \tabularnewline
115 & 63 & 83.1510492082492 & -20.1510492082492 \tabularnewline
116 & 92 & 90.2322412265185 & 1.76775877348154 \tabularnewline
117 & 106 & 103.038546728764 & 2.96145327123568 \tabularnewline
118 & 63 & 96.0161405014475 & -33.0161405014475 \tabularnewline
119 & 69 & 55.1144313963425 & 13.8855686036575 \tabularnewline
120 & 41 & 70.4728579059618 & -29.4728579059618 \tabularnewline
121 & 56 & 76.6606400774567 & -20.6606400774567 \tabularnewline
122 & 25 & 67.6308436261663 & -42.6308436261663 \tabularnewline
123 & 65 & 80.6108235684334 & -15.6108235684334 \tabularnewline
124 & 93 & 67.9125241945149 & 25.0874758054851 \tabularnewline
125 & 114 & 73.0947633743176 & 40.9052366256824 \tabularnewline
126 & 38 & 51.8812561910878 & -13.8812561910878 \tabularnewline
127 & 44 & 59.8492732326686 & -15.8492732326686 \tabularnewline
128 & 87 & 63.993355197507 & 23.006644802493 \tabularnewline
129 & 110 & 93.0329763164204 & 16.9670236835796 \tabularnewline
130 & 0 & 36.4908765611087 & -36.4908765611087 \tabularnewline
131 & 27 & 48.3904330139796 & -21.3904330139796 \tabularnewline
132 & 83 & 82.254188254466 & 0.745811745533951 \tabularnewline
133 & 30 & 40.9766571707779 & -10.9766571707779 \tabularnewline
134 & 80 & 88.091724886111 & -8.09172488611101 \tabularnewline
135 & 98 & 65.6038420131174 & 32.3961579868826 \tabularnewline
136 & 82 & 112.726699783314 & -30.7266997833144 \tabularnewline
137 & 0 & 37.6997699953668 & -37.6997699953668 \tabularnewline
138 & 60 & 84.653496244054 & -24.653496244054 \tabularnewline
139 & 28 & 41.520090243272 & -13.520090243272 \tabularnewline
140 & 9 & 37.8056267657311 & -28.8056267657311 \tabularnewline
141 & 33 & 51.546758520934 & -18.546758520934 \tabularnewline
142 & 59 & 81.6397078917806 & -22.6397078917806 \tabularnewline
143 & 49 & 51.7211192573148 & -2.72111925731477 \tabularnewline
144 & 115 & 113.650294180897 & 1.34970581910303 \tabularnewline
145 & 140 & 79.1202793291041 & 60.8797206708959 \tabularnewline
146 & 49 & 65.0633175480124 & -16.0633175480124 \tabularnewline
147 & 120 & 61.6344652124445 & 58.3655347875555 \tabularnewline
148 & 66 & 62.8273509192848 & 3.17264908071521 \tabularnewline
149 & 21 & 39.8064577414405 & -18.8064577414405 \tabularnewline
150 & 124 & 67.4877619612451 & 56.5122380387549 \tabularnewline
151 & 152 & 96.3878753136176 & 55.6121246863824 \tabularnewline
152 & 139 & 61.7250352835086 & 77.2749647164914 \tabularnewline
153 & 38 & 77.0613671550216 & -39.0613671550216 \tabularnewline
154 & 144 & 118.577930663935 & 25.4220693360649 \tabularnewline
155 & 120 & 89.3610365617623 & 30.6389634382377 \tabularnewline
156 & 160 & 128.10651741874 & 31.8934825812596 \tabularnewline
157 & 114 & 57.2157143400086 & 56.7842856599914 \tabularnewline
158 & 39 & 46.1217860380755 & -7.12178603807546 \tabularnewline
159 & 78 & 55.4420228312378 & 22.5579771687623 \tabularnewline
160 & 119 & 108.819522988285 & 10.1804770117146 \tabularnewline
161 & 141 & 151.57991948198 & -10.5799194819802 \tabularnewline
162 & 101 & 54.3748994746665 & 46.6251005253335 \tabularnewline
163 & 56 & 76.1954751949198 & -20.1954751949198 \tabularnewline
164 & 133 & 138.016943449362 & -5.01694344936234 \tabularnewline
165 & 83 & 79.7615269370062 & 3.23847306299382 \tabularnewline
166 & 116 & 70.0857903456147 & 45.9142096543853 \tabularnewline
167 & 90 & 73.1239233996808 & 16.8760766003192 \tabularnewline
168 & 36 & 68.8882720317805 & -32.8882720317805 \tabularnewline
169 & 50 & 57.3672870128836 & -7.36728701288355 \tabularnewline
170 & 61 & 94.0438294535572 & -33.0438294535572 \tabularnewline
171 & 97 & 144.044209527542 & -47.0442095275417 \tabularnewline
172 & 98 & 83.1550565243684 & 14.8449434756316 \tabularnewline
173 & 78 & 99.264673099737 & -21.264673099737 \tabularnewline
174 & 117 & 109.727078017592 & 7.27292198240759 \tabularnewline
175 & 148 & 64.3030807968894 & 83.6969192031106 \tabularnewline
176 & 41 & 75.35283703855 & -34.35283703855 \tabularnewline
177 & 105 & 104.97497059312 & 0.0250294068800413 \tabularnewline
178 & 55 & 53.815840393507 & 1.18415960649295 \tabularnewline
179 & 132 & 93.9720028389122 & 38.0279971610878 \tabularnewline
180 & 44 & 59.6893599459294 & -15.6893599459294 \tabularnewline
181 & 21 & 70.276280670444 & -49.276280670444 \tabularnewline
182 & 50 & 76.5913915187445 & -26.5913915187445 \tabularnewline
183 & 0 & 30.6786676776551 & -30.6786676776551 \tabularnewline
184 & 73 & 83.7997546906899 & -10.7997546906899 \tabularnewline
185 & 86 & 110.70279973107 & -24.7027997310701 \tabularnewline
186 & 0 & 28.159687887976 & -28.159687887976 \tabularnewline
187 & 13 & 40.6847303526633 & -27.6847303526633 \tabularnewline
188 & 4 & 27.4121137313438 & -23.4121137313438 \tabularnewline
189 & 57 & 80.0357629585553 & -23.0357629585553 \tabularnewline
190 & 48 & 49.0219240755702 & -1.02192407557016 \tabularnewline
191 & 46 & 71.1671723864906 & -25.1671723864906 \tabularnewline
192 & 48 & 59.0936517226606 & -11.0936517226606 \tabularnewline
193 & 32 & 62.4385270368457 & -30.4385270368457 \tabularnewline
194 & 68 & 43.5127023162087 & 24.4872976837913 \tabularnewline
195 & 87 & 70.0764217167548 & 16.9235782832452 \tabularnewline
196 & 43 & 69.7479961506203 & -26.7479961506203 \tabularnewline
197 & 67 & 53.9580393191026 & 13.0419606808974 \tabularnewline
198 & 46 & 43.7618046232619 & 2.23819537673814 \tabularnewline
199 & 46 & 73.9792001873129 & -27.9792001873129 \tabularnewline
200 & 56 & 49.8803581611333 & 6.11964183886673 \tabularnewline
201 & 48 & 52.4080167937621 & -4.40801679376211 \tabularnewline
202 & 44 & 36.976831241806 & 7.02316875819401 \tabularnewline
203 & 60 & 68.5204314326078 & -8.52043143260784 \tabularnewline
204 & 65 & 62.235738470399 & 2.76426152960098 \tabularnewline
205 & 55 & 68.1707488491568 & -13.1707488491568 \tabularnewline
206 & 38 & 41.8151805580168 & -3.81518055801682 \tabularnewline
207 & 52 & 60.2226911139865 & -8.22269111398652 \tabularnewline
208 & 60 & 76.0842284288171 & -16.0842284288171 \tabularnewline
209 & 54 & 66.4101339761162 & -12.4101339761162 \tabularnewline
210 & 86 & 66.5411220517058 & 19.4588779482942 \tabularnewline
211 & 24 & 63.286627893309 & -39.286627893309 \tabularnewline
212 & 52 & 66.9422692192705 & -14.9422692192705 \tabularnewline
213 & 49 & 39.6082122434442 & 9.39178775655577 \tabularnewline
214 & 61 & 49.8104607469681 & 11.1895392530319 \tabularnewline
215 & 61 & 62.0662365472556 & -1.06623654725561 \tabularnewline
216 & 81 & 45.7871379738323 & 35.2128620261677 \tabularnewline
217 & 43 & 59.7759201416645 & -16.7759201416645 \tabularnewline
218 & 40 & 42.7779648626739 & -2.77796486267385 \tabularnewline
219 & 40 & 45.106280368856 & -5.10628036885602 \tabularnewline
220 & 56 & 42.0338673882491 & 13.9661326117509 \tabularnewline
221 & 68 & 58.8488465026647 & 9.15115349733529 \tabularnewline
222 & 79 & 79.0110589796541 & -0.0110589796540869 \tabularnewline
223 & 47 & 87.2600355614661 & -40.260035561466 \tabularnewline
224 & 57 & 45.1313881095031 & 11.8686118904969 \tabularnewline
225 & 41 & 30.2153521453043 & 10.7846478546957 \tabularnewline
226 & 29 & 81.990616013473 & -52.990616013473 \tabularnewline
227 & 3 & 46.6038936349316 & -43.6038936349316 \tabularnewline
228 & 60 & 52.6885301202055 & 7.31146987979449 \tabularnewline
229 & 30 & 61.0852445385108 & -31.0852445385108 \tabularnewline
230 & 79 & 71.2288397307034 & 7.77116026929656 \tabularnewline
231 & 47 & 41.6552263408204 & 5.34477365917961 \tabularnewline
232 & 40 & 60.9711142085272 & -20.9711142085272 \tabularnewline
233 & 48 & 74.6438264178377 & -26.6438264178377 \tabularnewline
234 & 36 & 42.8538039118576 & -6.85380391185757 \tabularnewline
235 & 42 & 53.9931236136054 & -11.9931236136054 \tabularnewline
236 & 49 & 46.3468745934424 & 2.65312540655759 \tabularnewline
237 & 57 & 66.7864865886111 & -9.7864865886111 \tabularnewline
238 & 12 & 44.3287780295867 & -32.3287780295867 \tabularnewline
239 & 40 & 52.0162070128499 & -12.0162070128499 \tabularnewline
240 & 43 & 43.24919472019 & -0.249194720190002 \tabularnewline
241 & 33 & 58.2081372063036 & -25.2081372063036 \tabularnewline
242 & 77 & 89.2331761707653 & -12.2331761707653 \tabularnewline
243 & 43 & 47.6100854820768 & -4.6100854820768 \tabularnewline
244 & 45 & 44.4150224805349 & 0.584977519465149 \tabularnewline
245 & 47 & 47.877820551698 & -0.877820551697949 \tabularnewline
246 & 43 & 59.060067780729 & -16.060067780729 \tabularnewline
247 & 45 & 79.3093301569081 & -34.3093301569081 \tabularnewline
248 & 50 & 46.4462974661238 & 3.55370253387617 \tabularnewline
249 & 35 & 53.2105547010139 & -18.2105547010139 \tabularnewline
250 & 7 & 43.7358914343732 & -36.7358914343732 \tabularnewline
251 & 71 & 73.1655347698995 & -2.16553476989946 \tabularnewline
252 & 67 & 51.8835619919005 & 15.1164380080995 \tabularnewline
253 & 0 & 29.4696176506084 & -29.4696176506084 \tabularnewline
254 & 62 & 61.4821791890813 & 0.517820810918693 \tabularnewline
255 & 54 & 63.5089269931688 & -9.50892699316883 \tabularnewline
256 & 4 & 38.7633706208539 & -34.7633706208539 \tabularnewline
257 & 25 & 40.1889085817426 & -15.1889085817426 \tabularnewline
258 & 40 & 50.7985093850608 & -10.7985093850608 \tabularnewline
259 & 38 & 42.5070463713338 & -4.50704637133381 \tabularnewline
260 & 19 & 39.0043199990998 & -20.0043199990998 \tabularnewline
261 & 17 & 38.5367433416684 & -21.5367433416684 \tabularnewline
262 & 67 & 43.7454800707773 & 23.2545199292227 \tabularnewline
263 & 14 & 40.5174236864206 & -26.5174236864206 \tabularnewline
264 & 30 & 46.2846837443578 & -16.2846837443579 \tabularnewline
265 & 54 & 45.1248001782413 & 8.87519982175868 \tabularnewline
266 & 35 & 52.129871203957 & -17.129871203957 \tabularnewline
267 & 59 & 50.8208389873195 & 8.17916101268046 \tabularnewline
268 & 24 & 44.5728238502177 & -20.5728238502177 \tabularnewline
269 & 58 & 45.2043819660533 & 12.7956180339467 \tabularnewline
270 & 42 & 54.3316362775076 & -12.3316362775076 \tabularnewline
271 & 46 & 70.6885230256832 & -24.6885230256832 \tabularnewline
272 & 61 & 44.0937032321144 & 16.9062967678856 \tabularnewline
273 & 3 & 45.1164109562906 & -42.1164109562906 \tabularnewline
274 & 52 & 60.2567647593727 & -8.25676475937269 \tabularnewline
275 & 25 & 46.6633708406632 & -21.6633708406632 \tabularnewline
276 & 40 & 59.6204506965824 & -19.6204506965823 \tabularnewline
277 & 32 & 43.4720966266262 & -11.4720966266262 \tabularnewline
278 & 4 & 31.428258014101 & -27.428258014101 \tabularnewline
279 & 49 & 62.1440482865861 & -13.1440482865861 \tabularnewline
280 & 63 & 45.7318994088829 & 17.2681005911171 \tabularnewline
281 & 67 & 48.8441250282293 & 18.1558749717707 \tabularnewline
282 & 32 & 53.5163610438907 & -21.5163610438907 \tabularnewline
283 & 23 & 64.4857909050435 & -41.4857909050435 \tabularnewline
284 & 7 & 39.047785837924 & -32.047785837924 \tabularnewline
285 & 54 & 43.9958042765823 & 10.0041957234177 \tabularnewline
286 & 37 & 55.230037035389 & -18.230037035389 \tabularnewline
287 & 35 & 49.8764997601735 & -14.8764997601735 \tabularnewline
288 & 51 & 47.7449728890833 & 3.25502711091668 \tabularnewline
289 & 39 & 51.4222662788529 & -12.4222662788529 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158356&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]94[/C][C]70.0213622288925[/C][C]23.9786377711075[/C][/ROW]
[ROW][C]2[/C][C]103[/C][C]52.5739300118561[/C][C]50.4260699881439[/C][/ROW]
[ROW][C]3[/C][C]93[/C][C]77.9080484395483[/C][C]15.0919515604517[/C][/ROW]
[ROW][C]4[/C][C]103[/C][C]95.6714861200712[/C][C]7.32851387992881[/C][/ROW]
[ROW][C]5[/C][C]51[/C][C]54.3186118893531[/C][C]-3.31861188935315[/C][/ROW]
[ROW][C]6[/C][C]70[/C][C]36.9700841585459[/C][C]33.0299158414541[/C][/ROW]
[ROW][C]7[/C][C]91[/C][C]142.320556982188[/C][C]-51.3205569821876[/C][/ROW]
[ROW][C]8[/C][C]22[/C][C]32.0655341179216[/C][C]-10.0655341179216[/C][/ROW]
[ROW][C]9[/C][C]38[/C][C]61.2242825266859[/C][C]-23.2242825266859[/C][/ROW]
[ROW][C]10[/C][C]93[/C][C]77.1010641314296[/C][C]15.8989358685704[/C][/ROW]
[ROW][C]11[/C][C]60[/C][C]71.8899258642651[/C][C]-11.8899258642651[/C][/ROW]
[ROW][C]12[/C][C]123[/C][C]86.2132568695473[/C][C]36.7867431304527[/C][/ROW]
[ROW][C]13[/C][C]148[/C][C]79.5101798346252[/C][C]68.4898201653748[/C][/ROW]
[ROW][C]14[/C][C]90[/C][C]71.8333685830414[/C][C]18.1666314169586[/C][/ROW]
[ROW][C]15[/C][C]124[/C][C]98.4292609615524[/C][C]25.5707390384476[/C][/ROW]
[ROW][C]16[/C][C]70[/C][C]79.1589994578127[/C][C]-9.1589994578127[/C][/ROW]
[ROW][C]17[/C][C]168[/C][C]173.468638454866[/C][C]-5.46863845486607[/C][/ROW]
[ROW][C]18[/C][C]115[/C][C]85.3165115780956[/C][C]29.6834884219044[/C][/ROW]
[ROW][C]19[/C][C]71[/C][C]103.571830767665[/C][C]-32.5718307676651[/C][/ROW]
[ROW][C]20[/C][C]66[/C][C]60.4720245957636[/C][C]5.52797540423641[/C][/ROW]
[ROW][C]21[/C][C]134[/C][C]92.475238510745[/C][C]41.5247614892549[/C][/ROW]
[ROW][C]22[/C][C]117[/C][C]88.9248920790287[/C][C]28.0751079209713[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]101.980345787265[/C][C]6.01965421273469[/C][/ROW]
[ROW][C]24[/C][C]84[/C][C]63.7705203453159[/C][C]20.2294796546841[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]67.6856282996988[/C][C]88.3143717003012[/C][/ROW]
[ROW][C]26[/C][C]120[/C][C]107.591396925844[/C][C]12.4086030741558[/C][/ROW]
[ROW][C]27[/C][C]114[/C][C]103.305973731228[/C][C]10.6940262687723[/C][/ROW]
[ROW][C]28[/C][C]94[/C][C]109.781846804176[/C][C]-15.7818468041759[/C][/ROW]
[ROW][C]29[/C][C]120[/C][C]83.2880633389814[/C][C]36.7119366610186[/C][/ROW]
[ROW][C]30[/C][C]81[/C][C]65.9061082590311[/C][C]15.0938917409689[/C][/ROW]
[ROW][C]31[/C][C]110[/C][C]79.9877401749522[/C][C]30.0122598250478[/C][/ROW]
[ROW][C]32[/C][C]133[/C][C]85.2954623208639[/C][C]47.7045376791361[/C][/ROW]
[ROW][C]33[/C][C]122[/C][C]77.5645587408675[/C][C]44.4354412591325[/C][/ROW]
[ROW][C]34[/C][C]158[/C][C]87.4479304644835[/C][C]70.5520695355165[/C][/ROW]
[ROW][C]35[/C][C]109[/C][C]50.9064755132719[/C][C]58.0935244867281[/C][/ROW]
[ROW][C]36[/C][C]124[/C][C]113.389756047813[/C][C]10.6102439521869[/C][/ROW]
[ROW][C]37[/C][C]39[/C][C]50.9914396191931[/C][C]-11.9914396191931[/C][/ROW]
[ROW][C]38[/C][C]92[/C][C]90.3317797615314[/C][C]1.66822023846864[/C][/ROW]
[ROW][C]39[/C][C]126[/C][C]122.484550169574[/C][C]3.51544983042592[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]30.340111524086[/C][C]-30.340111524086[/C][/ROW]
[ROW][C]41[/C][C]70[/C][C]76.614439589911[/C][C]-6.61443958991096[/C][/ROW]
[ROW][C]42[/C][C]37[/C][C]53.1310834571138[/C][C]-16.1310834571138[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]79.8420932501469[/C][C]-41.8420932501469[/C][/ROW]
[ROW][C]44[/C][C]120[/C][C]124.608532186792[/C][C]-4.60853218679177[/C][/ROW]
[ROW][C]45[/C][C]93[/C][C]127.135526608709[/C][C]-34.1355266087092[/C][/ROW]
[ROW][C]46[/C][C]95[/C][C]68.4628174533909[/C][C]26.5371825466091[/C][/ROW]
[ROW][C]47[/C][C]77[/C][C]119.327798373921[/C][C]-42.3277983739207[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]69.7345019841[/C][C]20.2654980159[/C][/ROW]
[ROW][C]49[/C][C]80[/C][C]62.5569656210662[/C][C]17.4430343789338[/C][/ROW]
[ROW][C]50[/C][C]31[/C][C]96.6838841797258[/C][C]-65.6838841797258[/C][/ROW]
[ROW][C]51[/C][C]110[/C][C]105.539276503741[/C][C]4.46072349625928[/C][/ROW]
[ROW][C]52[/C][C]66[/C][C]53.0196207216067[/C][C]12.9803792783933[/C][/ROW]
[ROW][C]53[/C][C]138[/C][C]88.2447989918369[/C][C]49.7552010081631[/C][/ROW]
[ROW][C]54[/C][C]133[/C][C]143.227743487441[/C][C]-10.2277434874413[/C][/ROW]
[ROW][C]55[/C][C]113[/C][C]83.4789487103022[/C][C]29.5210512896978[/C][/ROW]
[ROW][C]56[/C][C]100[/C][C]77.6589872128913[/C][C]22.3410127871087[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]40.2332980903496[/C][C]-33.2332980903496[/C][/ROW]
[ROW][C]58[/C][C]140[/C][C]119.380481915825[/C][C]20.619518084175[/C][/ROW]
[ROW][C]59[/C][C]61[/C][C]48.8686535268783[/C][C]12.1313464731217[/C][/ROW]
[ROW][C]60[/C][C]41[/C][C]62.3667291051983[/C][C]-21.3667291051983[/C][/ROW]
[ROW][C]61[/C][C]96[/C][C]100.108075225302[/C][C]-4.10807522530202[/C][/ROW]
[ROW][C]62[/C][C]164[/C][C]100.190536007165[/C][C]63.8094639928353[/C][/ROW]
[ROW][C]63[/C][C]78[/C][C]188.940300307684[/C][C]-110.940300307684[/C][/ROW]
[ROW][C]64[/C][C]49[/C][C]59.2904577236316[/C][C]-10.2904577236316[/C][/ROW]
[ROW][C]65[/C][C]102[/C][C]113.906356299775[/C][C]-11.9063562997755[/C][/ROW]
[ROW][C]66[/C][C]124[/C][C]98.0338604649703[/C][C]25.9661395350297[/C][/ROW]
[ROW][C]67[/C][C]99[/C][C]86.9409004027666[/C][C]12.0590995972334[/C][/ROW]
[ROW][C]68[/C][C]129[/C][C]143.207484871782[/C][C]-14.207484871782[/C][/ROW]
[ROW][C]69[/C][C]62[/C][C]107.202422649316[/C][C]-45.2024226493157[/C][/ROW]
[ROW][C]70[/C][C]73[/C][C]99.4545319349923[/C][C]-26.4545319349923[/C][/ROW]
[ROW][C]71[/C][C]114[/C][C]96.6677249779388[/C][C]17.3322750220612[/C][/ROW]
[ROW][C]72[/C][C]99[/C][C]66.7122175054534[/C][C]32.2877824945466[/C][/ROW]
[ROW][C]73[/C][C]70[/C][C]72.2711475268364[/C][C]-2.2711475268364[/C][/ROW]
[ROW][C]74[/C][C]104[/C][C]81.6473377143664[/C][C]22.3526622856336[/C][/ROW]
[ROW][C]75[/C][C]116[/C][C]108.016428855024[/C][C]7.98357114497566[/C][/ROW]
[ROW][C]76[/C][C]91[/C][C]87.8674357302254[/C][C]3.1325642697746[/C][/ROW]
[ROW][C]77[/C][C]74[/C][C]67.8819445972152[/C][C]6.11805540278481[/C][/ROW]
[ROW][C]78[/C][C]138[/C][C]92.9176787445317[/C][C]45.0823212554683[/C][/ROW]
[ROW][C]79[/C][C]67[/C][C]53.4833824677451[/C][C]13.5166175322549[/C][/ROW]
[ROW][C]80[/C][C]151[/C][C]87.2983330409651[/C][C]63.7016669590349[/C][/ROW]
[ROW][C]81[/C][C]72[/C][C]69.047140867986[/C][C]2.95285913201396[/C][/ROW]
[ROW][C]82[/C][C]120[/C][C]72.4319506819413[/C][C]47.5680493180587[/C][/ROW]
[ROW][C]83[/C][C]115[/C][C]88.1106709841953[/C][C]26.8893290158047[/C][/ROW]
[ROW][C]84[/C][C]105[/C][C]93.2828281846498[/C][C]11.7171718153502[/C][/ROW]
[ROW][C]85[/C][C]104[/C][C]81.0109105484543[/C][C]22.9890894515457[/C][/ROW]
[ROW][C]86[/C][C]108[/C][C]74.3951653560918[/C][C]33.6048346439083[/C][/ROW]
[ROW][C]87[/C][C]98[/C][C]72.0770065611321[/C][C]25.9229934388679[/C][/ROW]
[ROW][C]88[/C][C]69[/C][C]74.0750804038215[/C][C]-5.07508040382155[/C][/ROW]
[ROW][C]89[/C][C]111[/C][C]128.141106891369[/C][C]-17.141106891369[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]71.4968982227408[/C][C]27.5031017772592[/C][/ROW]
[ROW][C]91[/C][C]71[/C][C]84.5436756472374[/C][C]-13.5436756472374[/C][/ROW]
[ROW][C]92[/C][C]27[/C][C]53.031860666888[/C][C]-26.0318606668879[/C][/ROW]
[ROW][C]93[/C][C]69[/C][C]67.9781082360236[/C][C]1.02189176397636[/C][/ROW]
[ROW][C]94[/C][C]107[/C][C]58.4675603450581[/C][C]48.5324396549419[/C][/ROW]
[ROW][C]95[/C][C]73[/C][C]56.250777187838[/C][C]16.749222812162[/C][/ROW]
[ROW][C]96[/C][C]107[/C][C]114.436402110172[/C][C]-7.43640211017176[/C][/ROW]
[ROW][C]97[/C][C]93[/C][C]94.7380246322652[/C][C]-1.73802463226516[/C][/ROW]
[ROW][C]98[/C][C]129[/C][C]117.621855071291[/C][C]11.3781449287091[/C][/ROW]
[ROW][C]99[/C][C]69[/C][C]92.1732010302845[/C][C]-23.1732010302845[/C][/ROW]
[ROW][C]100[/C][C]118[/C][C]80.6531135573824[/C][C]37.3468864426176[/C][/ROW]
[ROW][C]101[/C][C]73[/C][C]72.1515678244986[/C][C]0.848432175501405[/C][/ROW]
[ROW][C]102[/C][C]119[/C][C]109.418331825119[/C][C]9.58166817488085[/C][/ROW]
[ROW][C]103[/C][C]104[/C][C]87.5603055526548[/C][C]16.4396944473452[/C][/ROW]
[ROW][C]104[/C][C]107[/C][C]69.7483093361976[/C][C]37.2516906638024[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]69.8722371429497[/C][C]29.1277628570503[/C][/ROW]
[ROW][C]106[/C][C]90[/C][C]84.2875029844469[/C][C]5.71249701555309[/C][/ROW]
[ROW][C]107[/C][C]197[/C][C]126.65620738708[/C][C]70.3437926129197[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]64.6316629558125[/C][C]-28.6316629558125[/C][/ROW]
[ROW][C]109[/C][C]85[/C][C]129.044489802449[/C][C]-44.0444898024486[/C][/ROW]
[ROW][C]110[/C][C]139[/C][C]97.3858657738081[/C][C]41.6141342261919[/C][/ROW]
[ROW][C]111[/C][C]106[/C][C]89.0159544127571[/C][C]16.9840455872429[/C][/ROW]
[ROW][C]112[/C][C]50[/C][C]78.8395065435894[/C][C]-28.8395065435894[/C][/ROW]
[ROW][C]113[/C][C]64[/C][C]40.5551505318916[/C][C]23.4448494681084[/C][/ROW]
[ROW][C]114[/C][C]31[/C][C]84.2738931555951[/C][C]-53.2738931555951[/C][/ROW]
[ROW][C]115[/C][C]63[/C][C]83.1510492082492[/C][C]-20.1510492082492[/C][/ROW]
[ROW][C]116[/C][C]92[/C][C]90.2322412265185[/C][C]1.76775877348154[/C][/ROW]
[ROW][C]117[/C][C]106[/C][C]103.038546728764[/C][C]2.96145327123568[/C][/ROW]
[ROW][C]118[/C][C]63[/C][C]96.0161405014475[/C][C]-33.0161405014475[/C][/ROW]
[ROW][C]119[/C][C]69[/C][C]55.1144313963425[/C][C]13.8855686036575[/C][/ROW]
[ROW][C]120[/C][C]41[/C][C]70.4728579059618[/C][C]-29.4728579059618[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]76.6606400774567[/C][C]-20.6606400774567[/C][/ROW]
[ROW][C]122[/C][C]25[/C][C]67.6308436261663[/C][C]-42.6308436261663[/C][/ROW]
[ROW][C]123[/C][C]65[/C][C]80.6108235684334[/C][C]-15.6108235684334[/C][/ROW]
[ROW][C]124[/C][C]93[/C][C]67.9125241945149[/C][C]25.0874758054851[/C][/ROW]
[ROW][C]125[/C][C]114[/C][C]73.0947633743176[/C][C]40.9052366256824[/C][/ROW]
[ROW][C]126[/C][C]38[/C][C]51.8812561910878[/C][C]-13.8812561910878[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]59.8492732326686[/C][C]-15.8492732326686[/C][/ROW]
[ROW][C]128[/C][C]87[/C][C]63.993355197507[/C][C]23.006644802493[/C][/ROW]
[ROW][C]129[/C][C]110[/C][C]93.0329763164204[/C][C]16.9670236835796[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]36.4908765611087[/C][C]-36.4908765611087[/C][/ROW]
[ROW][C]131[/C][C]27[/C][C]48.3904330139796[/C][C]-21.3904330139796[/C][/ROW]
[ROW][C]132[/C][C]83[/C][C]82.254188254466[/C][C]0.745811745533951[/C][/ROW]
[ROW][C]133[/C][C]30[/C][C]40.9766571707779[/C][C]-10.9766571707779[/C][/ROW]
[ROW][C]134[/C][C]80[/C][C]88.091724886111[/C][C]-8.09172488611101[/C][/ROW]
[ROW][C]135[/C][C]98[/C][C]65.6038420131174[/C][C]32.3961579868826[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]112.726699783314[/C][C]-30.7266997833144[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]37.6997699953668[/C][C]-37.6997699953668[/C][/ROW]
[ROW][C]138[/C][C]60[/C][C]84.653496244054[/C][C]-24.653496244054[/C][/ROW]
[ROW][C]139[/C][C]28[/C][C]41.520090243272[/C][C]-13.520090243272[/C][/ROW]
[ROW][C]140[/C][C]9[/C][C]37.8056267657311[/C][C]-28.8056267657311[/C][/ROW]
[ROW][C]141[/C][C]33[/C][C]51.546758520934[/C][C]-18.546758520934[/C][/ROW]
[ROW][C]142[/C][C]59[/C][C]81.6397078917806[/C][C]-22.6397078917806[/C][/ROW]
[ROW][C]143[/C][C]49[/C][C]51.7211192573148[/C][C]-2.72111925731477[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]113.650294180897[/C][C]1.34970581910303[/C][/ROW]
[ROW][C]145[/C][C]140[/C][C]79.1202793291041[/C][C]60.8797206708959[/C][/ROW]
[ROW][C]146[/C][C]49[/C][C]65.0633175480124[/C][C]-16.0633175480124[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]61.6344652124445[/C][C]58.3655347875555[/C][/ROW]
[ROW][C]148[/C][C]66[/C][C]62.8273509192848[/C][C]3.17264908071521[/C][/ROW]
[ROW][C]149[/C][C]21[/C][C]39.8064577414405[/C][C]-18.8064577414405[/C][/ROW]
[ROW][C]150[/C][C]124[/C][C]67.4877619612451[/C][C]56.5122380387549[/C][/ROW]
[ROW][C]151[/C][C]152[/C][C]96.3878753136176[/C][C]55.6121246863824[/C][/ROW]
[ROW][C]152[/C][C]139[/C][C]61.7250352835086[/C][C]77.2749647164914[/C][/ROW]
[ROW][C]153[/C][C]38[/C][C]77.0613671550216[/C][C]-39.0613671550216[/C][/ROW]
[ROW][C]154[/C][C]144[/C][C]118.577930663935[/C][C]25.4220693360649[/C][/ROW]
[ROW][C]155[/C][C]120[/C][C]89.3610365617623[/C][C]30.6389634382377[/C][/ROW]
[ROW][C]156[/C][C]160[/C][C]128.10651741874[/C][C]31.8934825812596[/C][/ROW]
[ROW][C]157[/C][C]114[/C][C]57.2157143400086[/C][C]56.7842856599914[/C][/ROW]
[ROW][C]158[/C][C]39[/C][C]46.1217860380755[/C][C]-7.12178603807546[/C][/ROW]
[ROW][C]159[/C][C]78[/C][C]55.4420228312378[/C][C]22.5579771687623[/C][/ROW]
[ROW][C]160[/C][C]119[/C][C]108.819522988285[/C][C]10.1804770117146[/C][/ROW]
[ROW][C]161[/C][C]141[/C][C]151.57991948198[/C][C]-10.5799194819802[/C][/ROW]
[ROW][C]162[/C][C]101[/C][C]54.3748994746665[/C][C]46.6251005253335[/C][/ROW]
[ROW][C]163[/C][C]56[/C][C]76.1954751949198[/C][C]-20.1954751949198[/C][/ROW]
[ROW][C]164[/C][C]133[/C][C]138.016943449362[/C][C]-5.01694344936234[/C][/ROW]
[ROW][C]165[/C][C]83[/C][C]79.7615269370062[/C][C]3.23847306299382[/C][/ROW]
[ROW][C]166[/C][C]116[/C][C]70.0857903456147[/C][C]45.9142096543853[/C][/ROW]
[ROW][C]167[/C][C]90[/C][C]73.1239233996808[/C][C]16.8760766003192[/C][/ROW]
[ROW][C]168[/C][C]36[/C][C]68.8882720317805[/C][C]-32.8882720317805[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]57.3672870128836[/C][C]-7.36728701288355[/C][/ROW]
[ROW][C]170[/C][C]61[/C][C]94.0438294535572[/C][C]-33.0438294535572[/C][/ROW]
[ROW][C]171[/C][C]97[/C][C]144.044209527542[/C][C]-47.0442095275417[/C][/ROW]
[ROW][C]172[/C][C]98[/C][C]83.1550565243684[/C][C]14.8449434756316[/C][/ROW]
[ROW][C]173[/C][C]78[/C][C]99.264673099737[/C][C]-21.264673099737[/C][/ROW]
[ROW][C]174[/C][C]117[/C][C]109.727078017592[/C][C]7.27292198240759[/C][/ROW]
[ROW][C]175[/C][C]148[/C][C]64.3030807968894[/C][C]83.6969192031106[/C][/ROW]
[ROW][C]176[/C][C]41[/C][C]75.35283703855[/C][C]-34.35283703855[/C][/ROW]
[ROW][C]177[/C][C]105[/C][C]104.97497059312[/C][C]0.0250294068800413[/C][/ROW]
[ROW][C]178[/C][C]55[/C][C]53.815840393507[/C][C]1.18415960649295[/C][/ROW]
[ROW][C]179[/C][C]132[/C][C]93.9720028389122[/C][C]38.0279971610878[/C][/ROW]
[ROW][C]180[/C][C]44[/C][C]59.6893599459294[/C][C]-15.6893599459294[/C][/ROW]
[ROW][C]181[/C][C]21[/C][C]70.276280670444[/C][C]-49.276280670444[/C][/ROW]
[ROW][C]182[/C][C]50[/C][C]76.5913915187445[/C][C]-26.5913915187445[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]30.6786676776551[/C][C]-30.6786676776551[/C][/ROW]
[ROW][C]184[/C][C]73[/C][C]83.7997546906899[/C][C]-10.7997546906899[/C][/ROW]
[ROW][C]185[/C][C]86[/C][C]110.70279973107[/C][C]-24.7027997310701[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]28.159687887976[/C][C]-28.159687887976[/C][/ROW]
[ROW][C]187[/C][C]13[/C][C]40.6847303526633[/C][C]-27.6847303526633[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]27.4121137313438[/C][C]-23.4121137313438[/C][/ROW]
[ROW][C]189[/C][C]57[/C][C]80.0357629585553[/C][C]-23.0357629585553[/C][/ROW]
[ROW][C]190[/C][C]48[/C][C]49.0219240755702[/C][C]-1.02192407557016[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]71.1671723864906[/C][C]-25.1671723864906[/C][/ROW]
[ROW][C]192[/C][C]48[/C][C]59.0936517226606[/C][C]-11.0936517226606[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]62.4385270368457[/C][C]-30.4385270368457[/C][/ROW]
[ROW][C]194[/C][C]68[/C][C]43.5127023162087[/C][C]24.4872976837913[/C][/ROW]
[ROW][C]195[/C][C]87[/C][C]70.0764217167548[/C][C]16.9235782832452[/C][/ROW]
[ROW][C]196[/C][C]43[/C][C]69.7479961506203[/C][C]-26.7479961506203[/C][/ROW]
[ROW][C]197[/C][C]67[/C][C]53.9580393191026[/C][C]13.0419606808974[/C][/ROW]
[ROW][C]198[/C][C]46[/C][C]43.7618046232619[/C][C]2.23819537673814[/C][/ROW]
[ROW][C]199[/C][C]46[/C][C]73.9792001873129[/C][C]-27.9792001873129[/C][/ROW]
[ROW][C]200[/C][C]56[/C][C]49.8803581611333[/C][C]6.11964183886673[/C][/ROW]
[ROW][C]201[/C][C]48[/C][C]52.4080167937621[/C][C]-4.40801679376211[/C][/ROW]
[ROW][C]202[/C][C]44[/C][C]36.976831241806[/C][C]7.02316875819401[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]68.5204314326078[/C][C]-8.52043143260784[/C][/ROW]
[ROW][C]204[/C][C]65[/C][C]62.235738470399[/C][C]2.76426152960098[/C][/ROW]
[ROW][C]205[/C][C]55[/C][C]68.1707488491568[/C][C]-13.1707488491568[/C][/ROW]
[ROW][C]206[/C][C]38[/C][C]41.8151805580168[/C][C]-3.81518055801682[/C][/ROW]
[ROW][C]207[/C][C]52[/C][C]60.2226911139865[/C][C]-8.22269111398652[/C][/ROW]
[ROW][C]208[/C][C]60[/C][C]76.0842284288171[/C][C]-16.0842284288171[/C][/ROW]
[ROW][C]209[/C][C]54[/C][C]66.4101339761162[/C][C]-12.4101339761162[/C][/ROW]
[ROW][C]210[/C][C]86[/C][C]66.5411220517058[/C][C]19.4588779482942[/C][/ROW]
[ROW][C]211[/C][C]24[/C][C]63.286627893309[/C][C]-39.286627893309[/C][/ROW]
[ROW][C]212[/C][C]52[/C][C]66.9422692192705[/C][C]-14.9422692192705[/C][/ROW]
[ROW][C]213[/C][C]49[/C][C]39.6082122434442[/C][C]9.39178775655577[/C][/ROW]
[ROW][C]214[/C][C]61[/C][C]49.8104607469681[/C][C]11.1895392530319[/C][/ROW]
[ROW][C]215[/C][C]61[/C][C]62.0662365472556[/C][C]-1.06623654725561[/C][/ROW]
[ROW][C]216[/C][C]81[/C][C]45.7871379738323[/C][C]35.2128620261677[/C][/ROW]
[ROW][C]217[/C][C]43[/C][C]59.7759201416645[/C][C]-16.7759201416645[/C][/ROW]
[ROW][C]218[/C][C]40[/C][C]42.7779648626739[/C][C]-2.77796486267385[/C][/ROW]
[ROW][C]219[/C][C]40[/C][C]45.106280368856[/C][C]-5.10628036885602[/C][/ROW]
[ROW][C]220[/C][C]56[/C][C]42.0338673882491[/C][C]13.9661326117509[/C][/ROW]
[ROW][C]221[/C][C]68[/C][C]58.8488465026647[/C][C]9.15115349733529[/C][/ROW]
[ROW][C]222[/C][C]79[/C][C]79.0110589796541[/C][C]-0.0110589796540869[/C][/ROW]
[ROW][C]223[/C][C]47[/C][C]87.2600355614661[/C][C]-40.260035561466[/C][/ROW]
[ROW][C]224[/C][C]57[/C][C]45.1313881095031[/C][C]11.8686118904969[/C][/ROW]
[ROW][C]225[/C][C]41[/C][C]30.2153521453043[/C][C]10.7846478546957[/C][/ROW]
[ROW][C]226[/C][C]29[/C][C]81.990616013473[/C][C]-52.990616013473[/C][/ROW]
[ROW][C]227[/C][C]3[/C][C]46.6038936349316[/C][C]-43.6038936349316[/C][/ROW]
[ROW][C]228[/C][C]60[/C][C]52.6885301202055[/C][C]7.31146987979449[/C][/ROW]
[ROW][C]229[/C][C]30[/C][C]61.0852445385108[/C][C]-31.0852445385108[/C][/ROW]
[ROW][C]230[/C][C]79[/C][C]71.2288397307034[/C][C]7.77116026929656[/C][/ROW]
[ROW][C]231[/C][C]47[/C][C]41.6552263408204[/C][C]5.34477365917961[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]60.9711142085272[/C][C]-20.9711142085272[/C][/ROW]
[ROW][C]233[/C][C]48[/C][C]74.6438264178377[/C][C]-26.6438264178377[/C][/ROW]
[ROW][C]234[/C][C]36[/C][C]42.8538039118576[/C][C]-6.85380391185757[/C][/ROW]
[ROW][C]235[/C][C]42[/C][C]53.9931236136054[/C][C]-11.9931236136054[/C][/ROW]
[ROW][C]236[/C][C]49[/C][C]46.3468745934424[/C][C]2.65312540655759[/C][/ROW]
[ROW][C]237[/C][C]57[/C][C]66.7864865886111[/C][C]-9.7864865886111[/C][/ROW]
[ROW][C]238[/C][C]12[/C][C]44.3287780295867[/C][C]-32.3287780295867[/C][/ROW]
[ROW][C]239[/C][C]40[/C][C]52.0162070128499[/C][C]-12.0162070128499[/C][/ROW]
[ROW][C]240[/C][C]43[/C][C]43.24919472019[/C][C]-0.249194720190002[/C][/ROW]
[ROW][C]241[/C][C]33[/C][C]58.2081372063036[/C][C]-25.2081372063036[/C][/ROW]
[ROW][C]242[/C][C]77[/C][C]89.2331761707653[/C][C]-12.2331761707653[/C][/ROW]
[ROW][C]243[/C][C]43[/C][C]47.6100854820768[/C][C]-4.6100854820768[/C][/ROW]
[ROW][C]244[/C][C]45[/C][C]44.4150224805349[/C][C]0.584977519465149[/C][/ROW]
[ROW][C]245[/C][C]47[/C][C]47.877820551698[/C][C]-0.877820551697949[/C][/ROW]
[ROW][C]246[/C][C]43[/C][C]59.060067780729[/C][C]-16.060067780729[/C][/ROW]
[ROW][C]247[/C][C]45[/C][C]79.3093301569081[/C][C]-34.3093301569081[/C][/ROW]
[ROW][C]248[/C][C]50[/C][C]46.4462974661238[/C][C]3.55370253387617[/C][/ROW]
[ROW][C]249[/C][C]35[/C][C]53.2105547010139[/C][C]-18.2105547010139[/C][/ROW]
[ROW][C]250[/C][C]7[/C][C]43.7358914343732[/C][C]-36.7358914343732[/C][/ROW]
[ROW][C]251[/C][C]71[/C][C]73.1655347698995[/C][C]-2.16553476989946[/C][/ROW]
[ROW][C]252[/C][C]67[/C][C]51.8835619919005[/C][C]15.1164380080995[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]29.4696176506084[/C][C]-29.4696176506084[/C][/ROW]
[ROW][C]254[/C][C]62[/C][C]61.4821791890813[/C][C]0.517820810918693[/C][/ROW]
[ROW][C]255[/C][C]54[/C][C]63.5089269931688[/C][C]-9.50892699316883[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]38.7633706208539[/C][C]-34.7633706208539[/C][/ROW]
[ROW][C]257[/C][C]25[/C][C]40.1889085817426[/C][C]-15.1889085817426[/C][/ROW]
[ROW][C]258[/C][C]40[/C][C]50.7985093850608[/C][C]-10.7985093850608[/C][/ROW]
[ROW][C]259[/C][C]38[/C][C]42.5070463713338[/C][C]-4.50704637133381[/C][/ROW]
[ROW][C]260[/C][C]19[/C][C]39.0043199990998[/C][C]-20.0043199990998[/C][/ROW]
[ROW][C]261[/C][C]17[/C][C]38.5367433416684[/C][C]-21.5367433416684[/C][/ROW]
[ROW][C]262[/C][C]67[/C][C]43.7454800707773[/C][C]23.2545199292227[/C][/ROW]
[ROW][C]263[/C][C]14[/C][C]40.5174236864206[/C][C]-26.5174236864206[/C][/ROW]
[ROW][C]264[/C][C]30[/C][C]46.2846837443578[/C][C]-16.2846837443579[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]45.1248001782413[/C][C]8.87519982175868[/C][/ROW]
[ROW][C]266[/C][C]35[/C][C]52.129871203957[/C][C]-17.129871203957[/C][/ROW]
[ROW][C]267[/C][C]59[/C][C]50.8208389873195[/C][C]8.17916101268046[/C][/ROW]
[ROW][C]268[/C][C]24[/C][C]44.5728238502177[/C][C]-20.5728238502177[/C][/ROW]
[ROW][C]269[/C][C]58[/C][C]45.2043819660533[/C][C]12.7956180339467[/C][/ROW]
[ROW][C]270[/C][C]42[/C][C]54.3316362775076[/C][C]-12.3316362775076[/C][/ROW]
[ROW][C]271[/C][C]46[/C][C]70.6885230256832[/C][C]-24.6885230256832[/C][/ROW]
[ROW][C]272[/C][C]61[/C][C]44.0937032321144[/C][C]16.9062967678856[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]45.1164109562906[/C][C]-42.1164109562906[/C][/ROW]
[ROW][C]274[/C][C]52[/C][C]60.2567647593727[/C][C]-8.25676475937269[/C][/ROW]
[ROW][C]275[/C][C]25[/C][C]46.6633708406632[/C][C]-21.6633708406632[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]59.6204506965824[/C][C]-19.6204506965823[/C][/ROW]
[ROW][C]277[/C][C]32[/C][C]43.4720966266262[/C][C]-11.4720966266262[/C][/ROW]
[ROW][C]278[/C][C]4[/C][C]31.428258014101[/C][C]-27.428258014101[/C][/ROW]
[ROW][C]279[/C][C]49[/C][C]62.1440482865861[/C][C]-13.1440482865861[/C][/ROW]
[ROW][C]280[/C][C]63[/C][C]45.7318994088829[/C][C]17.2681005911171[/C][/ROW]
[ROW][C]281[/C][C]67[/C][C]48.8441250282293[/C][C]18.1558749717707[/C][/ROW]
[ROW][C]282[/C][C]32[/C][C]53.5163610438907[/C][C]-21.5163610438907[/C][/ROW]
[ROW][C]283[/C][C]23[/C][C]64.4857909050435[/C][C]-41.4857909050435[/C][/ROW]
[ROW][C]284[/C][C]7[/C][C]39.047785837924[/C][C]-32.047785837924[/C][/ROW]
[ROW][C]285[/C][C]54[/C][C]43.9958042765823[/C][C]10.0041957234177[/C][/ROW]
[ROW][C]286[/C][C]37[/C][C]55.230037035389[/C][C]-18.230037035389[/C][/ROW]
[ROW][C]287[/C][C]35[/C][C]49.8764997601735[/C][C]-14.8764997601735[/C][/ROW]
[ROW][C]288[/C][C]51[/C][C]47.7449728890833[/C][C]3.25502711091668[/C][/ROW]
[ROW][C]289[/C][C]39[/C][C]51.4222662788529[/C][C]-12.4222662788529[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158356&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158356&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
19470.021362228892523.9786377711075
210352.573930011856150.4260699881439
39377.908048439548315.0919515604517
410395.67148612007127.32851387992881
55154.3186118893531-3.31861188935315
67036.970084158545933.0299158414541
791142.320556982188-51.3205569821876
82232.0655341179216-10.0655341179216
93861.2242825266859-23.2242825266859
109377.101064131429615.8989358685704
116071.8899258642651-11.8899258642651
1212386.213256869547336.7867431304527
1314879.510179834625268.4898201653748
149071.833368583041418.1666314169586
1512498.429260961552425.5707390384476
167079.1589994578127-9.1589994578127
17168173.468638454866-5.46863845486607
1811585.316511578095629.6834884219044
1971103.571830767665-32.5718307676651
206660.47202459576365.52797540423641
2113492.47523851074541.5247614892549
2211788.924892079028728.0751079209713
23108101.9803457872656.01965421273469
248463.770520345315920.2294796546841
2515667.685628299698888.3143717003012
26120107.59139692584412.4086030741558
27114103.30597373122810.6940262687723
2894109.781846804176-15.7818468041759
2912083.288063338981436.7119366610186
308165.906108259031115.0938917409689
3111079.987740174952230.0122598250478
3213385.295462320863947.7045376791361
3312277.564558740867544.4354412591325
3415887.447930464483570.5520695355165
3510950.906475513271958.0935244867281
36124113.38975604781310.6102439521869
373950.9914396191931-11.9914396191931
389290.33177976153141.66822023846864
39126122.4845501695743.51544983042592
40030.340111524086-30.340111524086
417076.614439589911-6.61443958991096
423753.1310834571138-16.1310834571138
433879.8420932501469-41.8420932501469
44120124.608532186792-4.60853218679177
4593127.135526608709-34.1355266087092
469568.462817453390926.5371825466091
4777119.327798373921-42.3277983739207
489069.734501984120.2654980159
498062.556965621066217.4430343789338
503196.6838841797258-65.6838841797258
51110105.5392765037414.46072349625928
526653.019620721606712.9803792783933
5313888.244798991836949.7552010081631
54133143.227743487441-10.2277434874413
5511383.478948710302229.5210512896978
5610077.658987212891322.3410127871087
57740.2332980903496-33.2332980903496
58140119.38048191582520.619518084175
596148.868653526878312.1313464731217
604162.3667291051983-21.3667291051983
6196100.108075225302-4.10807522530202
62164100.19053600716563.8094639928353
6378188.940300307684-110.940300307684
644959.2904577236316-10.2904577236316
65102113.906356299775-11.9063562997755
6612498.033860464970325.9661395350297
679986.940900402766612.0590995972334
68129143.207484871782-14.207484871782
6962107.202422649316-45.2024226493157
707399.4545319349923-26.4545319349923
7111496.667724977938817.3322750220612
729966.712217505453432.2877824945466
737072.2711475268364-2.2711475268364
7410481.647337714366422.3526622856336
75116108.0164288550247.98357114497566
769187.86743573022543.1325642697746
777467.88194459721526.11805540278481
7813892.917678744531745.0823212554683
796753.483382467745113.5166175322549
8015187.298333040965163.7016669590349
817269.0471408679862.95285913201396
8212072.431950681941347.5680493180587
8311588.110670984195326.8893290158047
8410593.282828184649811.7171718153502
8510481.010910548454322.9890894515457
8610874.395165356091833.6048346439083
879872.077006561132125.9229934388679
886974.0750804038215-5.07508040382155
89111128.141106891369-17.141106891369
909971.496898222740827.5031017772592
917184.5436756472374-13.5436756472374
922753.031860666888-26.0318606668879
936967.97810823602361.02189176397636
9410758.467560345058148.5324396549419
957356.25077718783816.749222812162
96107114.436402110172-7.43640211017176
979394.7380246322652-1.73802463226516
98129117.62185507129111.3781449287091
996992.1732010302845-23.1732010302845
10011880.653113557382437.3468864426176
1017372.15156782449860.848432175501405
102119109.4183318251199.58166817488085
10310487.560305552654816.4396944473452
10410769.748309336197637.2516906638024
1059969.872237142949729.1277628570503
1069084.28750298444695.71249701555309
107197126.6562073870870.3437926129197
1083664.6316629558125-28.6316629558125
10985129.044489802449-44.0444898024486
11013997.385865773808141.6141342261919
11110689.015954412757116.9840455872429
1125078.8395065435894-28.8395065435894
1136440.555150531891623.4448494681084
1143184.2738931555951-53.2738931555951
1156383.1510492082492-20.1510492082492
1169290.23224122651851.76775877348154
117106103.0385467287642.96145327123568
1186396.0161405014475-33.0161405014475
1196955.114431396342513.8855686036575
1204170.4728579059618-29.4728579059618
1215676.6606400774567-20.6606400774567
1222567.6308436261663-42.6308436261663
1236580.6108235684334-15.6108235684334
1249367.912524194514925.0874758054851
12511473.094763374317640.9052366256824
1263851.8812561910878-13.8812561910878
1274459.8492732326686-15.8492732326686
1288763.99335519750723.006644802493
12911093.032976316420416.9670236835796
130036.4908765611087-36.4908765611087
1312748.3904330139796-21.3904330139796
1328382.2541882544660.745811745533951
1333040.9766571707779-10.9766571707779
1348088.091724886111-8.09172488611101
1359865.603842013117432.3961579868826
13682112.726699783314-30.7266997833144
137037.6997699953668-37.6997699953668
1386084.653496244054-24.653496244054
1392841.520090243272-13.520090243272
140937.8056267657311-28.8056267657311
1413351.546758520934-18.546758520934
1425981.6397078917806-22.6397078917806
1434951.7211192573148-2.72111925731477
144115113.6502941808971.34970581910303
14514079.120279329104160.8797206708959
1464965.0633175480124-16.0633175480124
14712061.634465212444558.3655347875555
1486662.82735091928483.17264908071521
1492139.8064577414405-18.8064577414405
15012467.487761961245156.5122380387549
15115296.387875313617655.6121246863824
15213961.725035283508677.2749647164914
1533877.0613671550216-39.0613671550216
154144118.57793066393525.4220693360649
15512089.361036561762330.6389634382377
156160128.1065174187431.8934825812596
15711457.215714340008656.7842856599914
1583946.1217860380755-7.12178603807546
1597855.442022831237822.5579771687623
160119108.81952298828510.1804770117146
161141151.57991948198-10.5799194819802
16210154.374899474666546.6251005253335
1635676.1954751949198-20.1954751949198
164133138.016943449362-5.01694344936234
1658379.76152693700623.23847306299382
16611670.085790345614745.9142096543853
1679073.123923399680816.8760766003192
1683668.8882720317805-32.8882720317805
1695057.3672870128836-7.36728701288355
1706194.0438294535572-33.0438294535572
17197144.044209527542-47.0442095275417
1729883.155056524368414.8449434756316
1737899.264673099737-21.264673099737
174117109.7270780175927.27292198240759
17514864.303080796889483.6969192031106
1764175.35283703855-34.35283703855
177105104.974970593120.0250294068800413
1785553.8158403935071.18415960649295
17913293.972002838912238.0279971610878
1804459.6893599459294-15.6893599459294
1812170.276280670444-49.276280670444
1825076.5913915187445-26.5913915187445
183030.6786676776551-30.6786676776551
1847383.7997546906899-10.7997546906899
18586110.70279973107-24.7027997310701
186028.159687887976-28.159687887976
1871340.6847303526633-27.6847303526633
188427.4121137313438-23.4121137313438
1895780.0357629585553-23.0357629585553
1904849.0219240755702-1.02192407557016
1914671.1671723864906-25.1671723864906
1924859.0936517226606-11.0936517226606
1933262.4385270368457-30.4385270368457
1946843.512702316208724.4872976837913
1958770.076421716754816.9235782832452
1964369.7479961506203-26.7479961506203
1976753.958039319102613.0419606808974
1984643.76180462326192.23819537673814
1994673.9792001873129-27.9792001873129
2005649.88035816113336.11964183886673
2014852.4080167937621-4.40801679376211
2024436.9768312418067.02316875819401
2036068.5204314326078-8.52043143260784
2046562.2357384703992.76426152960098
2055568.1707488491568-13.1707488491568
2063841.8151805580168-3.81518055801682
2075260.2226911139865-8.22269111398652
2086076.0842284288171-16.0842284288171
2095466.4101339761162-12.4101339761162
2108666.541122051705819.4588779482942
2112463.286627893309-39.286627893309
2125266.9422692192705-14.9422692192705
2134939.60821224344429.39178775655577
2146149.810460746968111.1895392530319
2156162.0662365472556-1.06623654725561
2168145.787137973832335.2128620261677
2174359.7759201416645-16.7759201416645
2184042.7779648626739-2.77796486267385
2194045.106280368856-5.10628036885602
2205642.033867388249113.9661326117509
2216858.84884650266479.15115349733529
2227979.0110589796541-0.0110589796540869
2234787.2600355614661-40.260035561466
2245745.131388109503111.8686118904969
2254130.215352145304310.7846478546957
2262981.990616013473-52.990616013473
227346.6038936349316-43.6038936349316
2286052.68853012020557.31146987979449
2293061.0852445385108-31.0852445385108
2307971.22883973070347.77116026929656
2314741.65522634082045.34477365917961
2324060.9711142085272-20.9711142085272
2334874.6438264178377-26.6438264178377
2343642.8538039118576-6.85380391185757
2354253.9931236136054-11.9931236136054
2364946.34687459344242.65312540655759
2375766.7864865886111-9.7864865886111
2381244.3287780295867-32.3287780295867
2394052.0162070128499-12.0162070128499
2404343.24919472019-0.249194720190002
2413358.2081372063036-25.2081372063036
2427789.2331761707653-12.2331761707653
2434347.6100854820768-4.6100854820768
2444544.41502248053490.584977519465149
2454747.877820551698-0.877820551697949
2464359.060067780729-16.060067780729
2474579.3093301569081-34.3093301569081
2485046.44629746612383.55370253387617
2493553.2105547010139-18.2105547010139
250743.7358914343732-36.7358914343732
2517173.1655347698995-2.16553476989946
2526751.883561991900515.1164380080995
253029.4696176506084-29.4696176506084
2546261.48217918908130.517820810918693
2555463.5089269931688-9.50892699316883
256438.7633706208539-34.7633706208539
2572540.1889085817426-15.1889085817426
2584050.7985093850608-10.7985093850608
2593842.5070463713338-4.50704637133381
2601939.0043199990998-20.0043199990998
2611738.5367433416684-21.5367433416684
2626743.745480070777323.2545199292227
2631440.5174236864206-26.5174236864206
2643046.2846837443578-16.2846837443579
2655445.12480017824138.87519982175868
2663552.129871203957-17.129871203957
2675950.82083898731958.17916101268046
2682444.5728238502177-20.5728238502177
2695845.204381966053312.7956180339467
2704254.3316362775076-12.3316362775076
2714670.6885230256832-24.6885230256832
2726144.093703232114416.9062967678856
273345.1164109562906-42.1164109562906
2745260.2567647593727-8.25676475937269
2752546.6633708406632-21.6633708406632
2764059.6204506965824-19.6204506965823
2773243.4720966266262-11.4720966266262
278431.428258014101-27.428258014101
2794962.1440482865861-13.1440482865861
2806345.731899408882917.2681005911171
2816748.844125028229318.1558749717707
2823253.5163610438907-21.5163610438907
2832364.4857909050435-41.4857909050435
284739.047785837924-32.047785837924
2855443.995804276582310.0041957234177
2863755.230037035389-18.230037035389
2873549.8764997601735-14.8764997601735
2885147.74497288908333.25502711091668
2893951.4222662788529-12.4222662788529






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.2506666877873070.5013333755746130.749333312212693
80.2709301785073640.5418603570147270.729069821492636
90.6069782766660840.7860434466678320.393021723333916
100.6043233544726820.7913532910546370.395676645527318
110.4901790520787850.980358104157570.509820947921215
120.4449860494385660.8899720988771320.555013950561434
130.4161571208834540.8323142417669090.583842879116546
140.3251986370277820.6503972740555640.674801362972218
150.4854090904386420.9708181808772840.514590909561358
160.4945905444313520.9891810888627050.505409455568648
170.4167342086399040.8334684172798080.583265791360096
180.428664742953770.857329485907540.57133525704623
190.6488726221568930.7022547556862130.351127377843107
200.5835181556680660.8329636886638680.416481844331934
210.6308851533756580.7382296932486840.369114846624342
220.6087678588939460.7824642822121090.391232141106054
230.5419248067642590.9161503864714830.458075193235741
240.4806939268054330.9613878536108660.519306073194567
250.796683469390670.406633061218660.20331653060933
260.7538170265150620.4923659469698750.246182973484938
270.7038247805592330.5923504388815350.296175219440767
280.6776365351620340.6447269296759320.322363464837966
290.6623980219712350.675203956057530.337601978028765
300.6108844434580470.7782311130839060.389115556541953
310.5743063343974220.8513873312051570.425693665602578
320.6011921052336170.7976157895327670.398807894766383
330.6060587917004520.7878824165990960.393941208299548
340.7468618148915260.5062763702169480.253138185108474
350.7611111358229270.4777777283541470.238888864177073
360.7195536510497080.5608926979005840.280446348950292
370.7574755036310510.4850489927378980.242524496368949
380.7241769946108560.5516460107782870.275823005389144
390.6810659701084720.6378680597830560.318934029891528
400.8069150482557210.3861699034885570.193084951744279
410.7918368074776210.4163263850447580.208163192522379
420.8040909009842410.3918181980315180.195909099015759
430.8669499110405690.2661001779188630.133050088959431
440.8436120888999010.3127758222001980.156387911100099
450.8671774814088480.2656450371823050.132822518591152
460.8485686799333060.3028626401333870.151431320066694
470.8793553809338510.2412892381322980.120644619066149
480.858620466966090.2827590660678210.14137953303391
490.834176727187830.3316465456243410.16582327281217
500.9326968952927960.1346062094144090.0673031047072044
510.9194207660976710.1611584678046590.0805792339023293
520.9036018112148360.1927963775703270.0963981887851637
530.9242746227568020.1514507544863950.0757253772431977
540.9081258404974770.1837483190050460.0918741595025232
550.9013531977195450.1972936045609090.0986468022804546
560.8864954820136910.2270090359726190.113504517986309
570.9228739431215250.154252113756950.0771260568784752
580.9105107676163860.1789784647672290.0894892323836144
590.893971623395960.212056753208080.10602837660404
600.9006556515048930.1986886969902130.0993443484951067
610.8822386651596220.2355226696807550.117761334840378
620.9361396388430170.1277207223139650.0638603611569827
630.9945629066715460.0108741866569070.0054370933284535
640.9939943844248620.01201123115027630.00600561557513814
650.9924773585747860.0150452828504270.0075226414252135
660.9916350150674110.01672996986517860.00836498493258932
670.9893449142772940.0213101714454130.0106550857227065
680.9866302148272540.02673957034549170.0133697851727458
690.9909426764109330.01811464717813380.00905732358906692
700.9908617770913520.01827644581729630.00913822290864817
710.9890067674530850.0219864650938290.0109932325469145
720.9882387537007840.02352249259843260.0117612462992163
730.9856169625622820.02876607487543530.0143830374377177
740.9833029007223550.03339419855528970.0166970992776449
750.9792346414298290.04153071714034230.0207653585701712
760.9740970526910790.05180589461784240.0259029473089212
770.9685191519331950.06296169613360910.0314808480668045
780.9759308646935860.04813827061282840.0240691353064142
790.9712165655080990.0575668689838020.028783434491901
800.9866783505904510.02664329881909870.0133216494095493
810.9835532196740760.03289356065184790.016446780325924
820.9872842306956760.02543153860864830.0127157693043241
830.9862413074263540.02751738514729130.0137586925736456
840.9832496140798590.03350077184028280.0167503859201414
850.9812416789630250.03751664207394990.018758321036975
860.9813201271800240.0373597456399510.0186798728199755
870.9792942367858110.04141152642837790.020705763214189
880.9758165816238970.04836683675220540.0241834183761027
890.9716668341548890.05666633169022240.0283331658451112
900.9697429835950390.06051403280992250.0302570164049613
910.9666733079979070.0666533840041860.033326692002093
920.9723796277498950.05524074450021030.0276203722501051
930.9668190878454160.06636182430916770.0331809121545839
940.9738765557121340.05224688857573120.0261234442878656
950.9699500169145890.06009996617082280.0300499830854114
960.9652313559187360.0695372881625290.0347686440812645
970.9582140940434350.08357181191312890.0417859059565645
980.9520851194245640.09582976115087120.0479148805754356
990.9510682607373550.0978634785252910.0489317392626455
1000.9553435961097770.08931280778044650.0446564038902233
1010.9475983151639460.1048033696721080.0524016848360542
1020.9391941711936820.1216116576126360.060805828806318
1030.9303294529763360.1393410940473290.0696705470236643
1040.934988089487430.130023821025140.0650119105125699
1050.9332060566613730.1335878866772550.0667939433386273
1060.9226901401093710.1546197197812590.0773098598906295
1070.9760149666839910.0479700666320180.023985033316009
1080.9795963062014430.04080738759711490.0204036937985574
1090.9832401185448920.03351976291021580.0167598814551079
1100.9877347637518530.02453047249629330.0122652362481466
1110.9858973237525350.02820535249492960.0141026762474648
1120.9878653405998640.02426931880027250.0121346594001363
1130.9866685255183340.02666294896333240.0133314744816662
1140.9936335569418050.01273288611638960.00636644305819479
1150.9932127197838690.01357456043226270.00678728021613136
1160.9914550525489780.01708989490204420.0085449474510221
1170.989471242879090.02105751424182030.0105287571209101
1180.9908137360465160.0183725279069680.00918626395348401
1190.9894346446732160.02113071065356760.0105653553267838
1200.9912275999135880.01754480017282430.00877240008641213
1210.9908629529758440.01827409404831170.00913704702415583
1220.9941206155240070.01175876895198590.00587938447599296
1230.9940157223456990.01196855530860170.00598427765430085
1240.9936533375085640.01269332498287140.00634666249143571
1250.9953547364921740.00929052701565230.00464526350782615
1260.9949353248638410.01012935027231710.00506467513615855
1270.9944747743051080.01105045138978330.00552522569489165
1280.9938625763516950.01227484729660950.00613742364830473
1290.9930961333900280.01380773321994490.00690386660997247
1300.9951784071832360.009643185633527450.00482159281676373
1310.9951484988981310.009703002203738360.00485150110186918
1320.9939789148892720.0120421702214560.00602108511072802
1330.9931749754345840.01365004913083290.00682502456541644
1340.9916886983353520.01662260332929660.00831130166464832
1350.9918625119710930.0162749760578140.00813748802890698
1360.9916838042488440.0166323915023130.00831619575115652
1370.9938130038159680.01237399236806350.00618699618403175
1380.9934598015383240.01308039692335260.00654019846167628
1390.9926036546933370.01479269061332650.00739634530666323
1400.993196612516530.01360677496693970.00680338748346987
1410.9924793490637370.01504130187252680.00752065093626341
1420.9919046797615220.01619064047695530.00809532023847767
1430.990025015337890.01994996932422060.0099749846621103
1440.9875695307426850.02486093851462970.0124304692573148
1450.995299264733130.009401470533739060.00470073526686953
1460.9948837875737970.01023242485240630.00511621242620316
1470.9978017173710860.004396565257827470.00219828262891373
1480.9972294322302460.005541135539507440.00277056776975372
1490.9969658917243080.006068216551383760.00303410827569188
1500.9986633249116070.002673350176785520.00133667508839276
1510.9995283031472820.000943393705435950.000471696852717975
1520.9999682308163276.35383673465432e-053.17691836732716e-05
1530.9999755719385254.88561229492823e-052.44280614746411e-05
1540.9999777636189064.44727621886459e-052.22363810943229e-05
1550.9999824277682473.51444635053778e-051.75722317526889e-05
1560.9999907313291661.85373416673964e-059.26867083369822e-06
1570.9999986788073772.64238524567613e-061.32119262283806e-06
1580.9999981939100013.61217999864842e-061.80608999932421e-06
1590.9999983603887383.279222524228e-061.639611262114e-06
1600.9999978190946614.36181067745403e-062.18090533872702e-06
1610.9999967637871756.47242565093545e-063.23621282546772e-06
1620.999998983122342.03375531915073e-061.01687765957537e-06
1630.9999986994600562.60107988712402e-061.30053994356201e-06
1640.9999981392746123.72145077541323e-061.86072538770662e-06
1650.9999975103674754.97926505084794e-062.48963252542397e-06
1660.9999994378312321.12433753512377e-065.62168767561883e-07
1670.9999993152163581.36956728442919e-066.84783642214593e-07
1680.999999434693811.13061237947051e-065.65306189735255e-07
1690.9999991600516221.67989675570251e-068.39948377851257e-07
1700.999999126183671.74763266090619e-068.73816330453095e-07
1710.999999282196031.43560794043364e-067.1780397021682e-07
1720.999999294592741.41081452076231e-067.05407260381157e-07
1730.9999990093406021.98131879675125e-069.90659398375625e-07
1740.9999990088718761.98225624708309e-069.91128123541543e-07
1750.9999999981664683.66706401821748e-091.83353200910874e-09
1760.9999999982896493.42070117219698e-091.71035058609849e-09
1770.9999999981139773.77204514233367e-091.88602257116683e-09
1780.9999999971030395.79392147098372e-092.89696073549186e-09
1790.999999999846073.07860116564301e-101.53930058282151e-10
1800.9999999997631314.73738608436151e-102.36869304218076e-10
1810.9999999999318971.36205372327093e-106.81026861635466e-11
1820.9999999999128411.74317443826089e-108.71587219130445e-11
1830.9999999999384261.23147754331159e-106.15738771655795e-11
1840.9999999999008061.98388896990688e-109.9194448495344e-11
1850.9999999998352293.29541238124339e-101.6477061906217e-10
1860.9999999998729572.54086470016796e-101.27043235008398e-10
1870.9999999998781772.43646275414463e-101.21823137707231e-10
1880.9999999998865692.26861603327233e-101.13430801663617e-10
1890.9999999998145673.70866144992294e-101.85433072496147e-10
1900.9999999996681166.63768296838707e-103.31884148419354e-10
1910.9999999994990811.00183855891355e-095.00919279456775e-10
1920.9999999991288351.7423301845586e-098.71165092279302e-10
1930.9999999992363061.52738772419456e-097.6369386209728e-10
1940.9999999990291271.94174642740182e-099.70873213700911e-10
1950.9999999994665541.06689120478333e-095.33445602391664e-10
1960.9999999992544991.49100208364685e-097.45501041823427e-10
1970.9999999992356731.52865344770346e-097.6432672385173e-10
1980.999999998738762.52248065509358e-091.26124032754679e-09
1990.9999999982051993.58960226408204e-091.79480113204102e-09
2000.9999999973779535.24409431847877e-092.62204715923939e-09
2010.9999999953356279.32874685895296e-094.66437342947648e-09
2020.9999999925710951.48578110758359e-087.42890553791793e-09
2030.9999999870894512.58210979866283e-081.29105489933141e-08
2040.9999999803010793.93978425690814e-081.96989212845407e-08
2050.9999999665560496.68879014442137e-083.34439507221068e-08
2060.9999999422956821.15408636626755e-075.77043183133774e-08
2070.999999902839981.94320039663406e-079.71600198317028e-08
2080.9999998399503023.2009939647524e-071.6004969823762e-07
2090.9999997344904815.31019037324858e-072.65509518662429e-07
2100.9999998797407722.40518456416544e-071.20259228208272e-07
2110.9999999059611881.8807762486135e-079.40388124306752e-08
2120.9999998430409683.13918063739765e-071.56959031869882e-07
2130.9999997759828924.48034215217284e-072.24017107608642e-07
2140.9999997446015625.1079687631706e-072.5539843815853e-07
2150.9999996542665046.91466992622368e-073.45733496311184e-07
2160.9999999169156411.66168718881706e-078.30843594408528e-08
2170.9999998607170422.78565915677272e-071.39282957838636e-07
2180.9999997543033754.91393250744117e-072.45696625372059e-07
2190.9999995811559778.37688045193624e-074.18844022596812e-07
2200.9999995906060868.1878782856426e-074.0939391428213e-07
2210.999999686072836.27854339998736e-073.13927169999368e-07
2220.9999997164941825.67011636127843e-072.83505818063921e-07
2230.9999997275900755.44819849551699e-072.72409924775849e-07
2240.9999997279121515.44175697967312e-072.72087848983656e-07
2250.9999996198869717.6022605749616e-073.8011302874808e-07
2260.9999999518150849.63698314265059e-084.8184915713253e-08
2270.999999992271641.5456720761416e-087.72836038070802e-09
2280.9999999917333871.65332250891991e-088.26661254459955e-09
2290.9999999937543851.2491230771591e-086.24561538579548e-09
2300.9999999966977186.60456419799549e-093.30228209899774e-09
2310.9999999947433991.0513202284524e-085.256601142262e-09
2320.9999999905719011.8856197887927e-089.42809894396351e-09
2330.9999999825309383.49381232327734e-081.74690616163867e-08
2340.9999999660922886.78154240386976e-083.39077120193488e-08
2350.9999999424982491.15003502245451e-075.75017511227256e-08
2360.9999999081719521.83656096139943e-079.18280480699717e-08
2370.9999998723763022.55247396449348e-071.27623698224674e-07
2380.9999998777234412.4455311713138e-071.2227655856569e-07
2390.9999998219825123.5603497502805e-071.78017487514025e-07
2400.9999996908139016.18372197215329e-073.09186098607665e-07
2410.9999995512741548.9745169303193e-074.48725846515965e-07
2420.9999991646594811.67068103829252e-068.35340519146259e-07
2430.9999983711322363.25773552752677e-061.62886776376339e-06
2440.999997913068554.17386289944921e-062.0869314497246e-06
2450.9999960540571757.89188565053773e-063.94594282526886e-06
2460.9999928992384261.42015231480976e-057.10076157404878e-06
2470.9999920277680091.59444639826297e-057.97223199131483e-06
2480.9999888252332162.23495335682453e-051.11747667841227e-05
2490.9999831709539333.36580921331665e-051.68290460665833e-05
2500.9999770631497464.58737005087589e-052.29368502543795e-05
2510.9999648623261867.02753476286849e-053.51376738143425e-05
2520.9999473966238210.0001052067523584095.26033761792045e-05
2530.9999331295118730.0001337409762536166.68704881268082e-05
2540.999875599916590.0002488001668189450.000124400083409473
2550.999806460617880.000387078764239450.000193539382119725
2560.9997615890266340.0004768219467309760.000238410973365488
2570.9995734350377170.0008531299245657990.000426564962282899
2580.9992784233062570.001443153387486020.00072157669374301
2590.9987327620377930.002534475924413180.00126723796220659
2600.9979995466703020.004000906659395440.00200045332969772
2610.99810829647280.003783407054400570.00189170352720028
2620.9971525879730970.005694824053806860.00284741202690343
2630.9962196268476110.007560746304777340.00378037315238867
2640.9937730091586230.01245398168275390.00622699084137697
2650.992568521104250.01486295779150030.00743147889575016
2660.9877300516178390.02453989676432160.0122699483821608
2670.9858170889988050.02836582200238910.0141829110011945
2680.9811607151237090.03767856975258130.0188392848762906
2690.9781225791287950.04375484174241020.0218774208712051
2700.9649072260657730.0701855478684540.035092773934227
2710.967076781522420.06584643695516010.03292321847758
2720.9666402036091920.06671959278161540.0333597963908077
2730.9974173870275110.005165225944978350.00258261297248917
2740.9988376558216680.002324688356663630.00116234417833181
2750.9971106011981220.005778797603755870.00288939880187794
2760.9949559848310570.01008803033788650.00504401516894324
2770.9893172300924430.02136553981511440.0106827699075572
2780.9762737939691490.04745241206170210.0237262060308511
2790.948487426526030.103025146947940.0515125734739702
2800.9458626134532260.1082747730935470.0541373865467736
2810.882636341298180.2347273174036410.11736365870182
2820.7620442634938710.4759114730122580.237955736506129

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.250666687787307 & 0.501333375574613 & 0.749333312212693 \tabularnewline
8 & 0.270930178507364 & 0.541860357014727 & 0.729069821492636 \tabularnewline
9 & 0.606978276666084 & 0.786043446667832 & 0.393021723333916 \tabularnewline
10 & 0.604323354472682 & 0.791353291054637 & 0.395676645527318 \tabularnewline
11 & 0.490179052078785 & 0.98035810415757 & 0.509820947921215 \tabularnewline
12 & 0.444986049438566 & 0.889972098877132 & 0.555013950561434 \tabularnewline
13 & 0.416157120883454 & 0.832314241766909 & 0.583842879116546 \tabularnewline
14 & 0.325198637027782 & 0.650397274055564 & 0.674801362972218 \tabularnewline
15 & 0.485409090438642 & 0.970818180877284 & 0.514590909561358 \tabularnewline
16 & 0.494590544431352 & 0.989181088862705 & 0.505409455568648 \tabularnewline
17 & 0.416734208639904 & 0.833468417279808 & 0.583265791360096 \tabularnewline
18 & 0.42866474295377 & 0.85732948590754 & 0.57133525704623 \tabularnewline
19 & 0.648872622156893 & 0.702254755686213 & 0.351127377843107 \tabularnewline
20 & 0.583518155668066 & 0.832963688663868 & 0.416481844331934 \tabularnewline
21 & 0.630885153375658 & 0.738229693248684 & 0.369114846624342 \tabularnewline
22 & 0.608767858893946 & 0.782464282212109 & 0.391232141106054 \tabularnewline
23 & 0.541924806764259 & 0.916150386471483 & 0.458075193235741 \tabularnewline
24 & 0.480693926805433 & 0.961387853610866 & 0.519306073194567 \tabularnewline
25 & 0.79668346939067 & 0.40663306121866 & 0.20331653060933 \tabularnewline
26 & 0.753817026515062 & 0.492365946969875 & 0.246182973484938 \tabularnewline
27 & 0.703824780559233 & 0.592350438881535 & 0.296175219440767 \tabularnewline
28 & 0.677636535162034 & 0.644726929675932 & 0.322363464837966 \tabularnewline
29 & 0.662398021971235 & 0.67520395605753 & 0.337601978028765 \tabularnewline
30 & 0.610884443458047 & 0.778231113083906 & 0.389115556541953 \tabularnewline
31 & 0.574306334397422 & 0.851387331205157 & 0.425693665602578 \tabularnewline
32 & 0.601192105233617 & 0.797615789532767 & 0.398807894766383 \tabularnewline
33 & 0.606058791700452 & 0.787882416599096 & 0.393941208299548 \tabularnewline
34 & 0.746861814891526 & 0.506276370216948 & 0.253138185108474 \tabularnewline
35 & 0.761111135822927 & 0.477777728354147 & 0.238888864177073 \tabularnewline
36 & 0.719553651049708 & 0.560892697900584 & 0.280446348950292 \tabularnewline
37 & 0.757475503631051 & 0.485048992737898 & 0.242524496368949 \tabularnewline
38 & 0.724176994610856 & 0.551646010778287 & 0.275823005389144 \tabularnewline
39 & 0.681065970108472 & 0.637868059783056 & 0.318934029891528 \tabularnewline
40 & 0.806915048255721 & 0.386169903488557 & 0.193084951744279 \tabularnewline
41 & 0.791836807477621 & 0.416326385044758 & 0.208163192522379 \tabularnewline
42 & 0.804090900984241 & 0.391818198031518 & 0.195909099015759 \tabularnewline
43 & 0.866949911040569 & 0.266100177918863 & 0.133050088959431 \tabularnewline
44 & 0.843612088899901 & 0.312775822200198 & 0.156387911100099 \tabularnewline
45 & 0.867177481408848 & 0.265645037182305 & 0.132822518591152 \tabularnewline
46 & 0.848568679933306 & 0.302862640133387 & 0.151431320066694 \tabularnewline
47 & 0.879355380933851 & 0.241289238132298 & 0.120644619066149 \tabularnewline
48 & 0.85862046696609 & 0.282759066067821 & 0.14137953303391 \tabularnewline
49 & 0.83417672718783 & 0.331646545624341 & 0.16582327281217 \tabularnewline
50 & 0.932696895292796 & 0.134606209414409 & 0.0673031047072044 \tabularnewline
51 & 0.919420766097671 & 0.161158467804659 & 0.0805792339023293 \tabularnewline
52 & 0.903601811214836 & 0.192796377570327 & 0.0963981887851637 \tabularnewline
53 & 0.924274622756802 & 0.151450754486395 & 0.0757253772431977 \tabularnewline
54 & 0.908125840497477 & 0.183748319005046 & 0.0918741595025232 \tabularnewline
55 & 0.901353197719545 & 0.197293604560909 & 0.0986468022804546 \tabularnewline
56 & 0.886495482013691 & 0.227009035972619 & 0.113504517986309 \tabularnewline
57 & 0.922873943121525 & 0.15425211375695 & 0.0771260568784752 \tabularnewline
58 & 0.910510767616386 & 0.178978464767229 & 0.0894892323836144 \tabularnewline
59 & 0.89397162339596 & 0.21205675320808 & 0.10602837660404 \tabularnewline
60 & 0.900655651504893 & 0.198688696990213 & 0.0993443484951067 \tabularnewline
61 & 0.882238665159622 & 0.235522669680755 & 0.117761334840378 \tabularnewline
62 & 0.936139638843017 & 0.127720722313965 & 0.0638603611569827 \tabularnewline
63 & 0.994562906671546 & 0.010874186656907 & 0.0054370933284535 \tabularnewline
64 & 0.993994384424862 & 0.0120112311502763 & 0.00600561557513814 \tabularnewline
65 & 0.992477358574786 & 0.015045282850427 & 0.0075226414252135 \tabularnewline
66 & 0.991635015067411 & 0.0167299698651786 & 0.00836498493258932 \tabularnewline
67 & 0.989344914277294 & 0.021310171445413 & 0.0106550857227065 \tabularnewline
68 & 0.986630214827254 & 0.0267395703454917 & 0.0133697851727458 \tabularnewline
69 & 0.990942676410933 & 0.0181146471781338 & 0.00905732358906692 \tabularnewline
70 & 0.990861777091352 & 0.0182764458172963 & 0.00913822290864817 \tabularnewline
71 & 0.989006767453085 & 0.021986465093829 & 0.0109932325469145 \tabularnewline
72 & 0.988238753700784 & 0.0235224925984326 & 0.0117612462992163 \tabularnewline
73 & 0.985616962562282 & 0.0287660748754353 & 0.0143830374377177 \tabularnewline
74 & 0.983302900722355 & 0.0333941985552897 & 0.0166970992776449 \tabularnewline
75 & 0.979234641429829 & 0.0415307171403423 & 0.0207653585701712 \tabularnewline
76 & 0.974097052691079 & 0.0518058946178424 & 0.0259029473089212 \tabularnewline
77 & 0.968519151933195 & 0.0629616961336091 & 0.0314808480668045 \tabularnewline
78 & 0.975930864693586 & 0.0481382706128284 & 0.0240691353064142 \tabularnewline
79 & 0.971216565508099 & 0.057566868983802 & 0.028783434491901 \tabularnewline
80 & 0.986678350590451 & 0.0266432988190987 & 0.0133216494095493 \tabularnewline
81 & 0.983553219674076 & 0.0328935606518479 & 0.016446780325924 \tabularnewline
82 & 0.987284230695676 & 0.0254315386086483 & 0.0127157693043241 \tabularnewline
83 & 0.986241307426354 & 0.0275173851472913 & 0.0137586925736456 \tabularnewline
84 & 0.983249614079859 & 0.0335007718402828 & 0.0167503859201414 \tabularnewline
85 & 0.981241678963025 & 0.0375166420739499 & 0.018758321036975 \tabularnewline
86 & 0.981320127180024 & 0.037359745639951 & 0.0186798728199755 \tabularnewline
87 & 0.979294236785811 & 0.0414115264283779 & 0.020705763214189 \tabularnewline
88 & 0.975816581623897 & 0.0483668367522054 & 0.0241834183761027 \tabularnewline
89 & 0.971666834154889 & 0.0566663316902224 & 0.0283331658451112 \tabularnewline
90 & 0.969742983595039 & 0.0605140328099225 & 0.0302570164049613 \tabularnewline
91 & 0.966673307997907 & 0.066653384004186 & 0.033326692002093 \tabularnewline
92 & 0.972379627749895 & 0.0552407445002103 & 0.0276203722501051 \tabularnewline
93 & 0.966819087845416 & 0.0663618243091677 & 0.0331809121545839 \tabularnewline
94 & 0.973876555712134 & 0.0522468885757312 & 0.0261234442878656 \tabularnewline
95 & 0.969950016914589 & 0.0600999661708228 & 0.0300499830854114 \tabularnewline
96 & 0.965231355918736 & 0.069537288162529 & 0.0347686440812645 \tabularnewline
97 & 0.958214094043435 & 0.0835718119131289 & 0.0417859059565645 \tabularnewline
98 & 0.952085119424564 & 0.0958297611508712 & 0.0479148805754356 \tabularnewline
99 & 0.951068260737355 & 0.097863478525291 & 0.0489317392626455 \tabularnewline
100 & 0.955343596109777 & 0.0893128077804465 & 0.0446564038902233 \tabularnewline
101 & 0.947598315163946 & 0.104803369672108 & 0.0524016848360542 \tabularnewline
102 & 0.939194171193682 & 0.121611657612636 & 0.060805828806318 \tabularnewline
103 & 0.930329452976336 & 0.139341094047329 & 0.0696705470236643 \tabularnewline
104 & 0.93498808948743 & 0.13002382102514 & 0.0650119105125699 \tabularnewline
105 & 0.933206056661373 & 0.133587886677255 & 0.0667939433386273 \tabularnewline
106 & 0.922690140109371 & 0.154619719781259 & 0.0773098598906295 \tabularnewline
107 & 0.976014966683991 & 0.047970066632018 & 0.023985033316009 \tabularnewline
108 & 0.979596306201443 & 0.0408073875971149 & 0.0204036937985574 \tabularnewline
109 & 0.983240118544892 & 0.0335197629102158 & 0.0167598814551079 \tabularnewline
110 & 0.987734763751853 & 0.0245304724962933 & 0.0122652362481466 \tabularnewline
111 & 0.985897323752535 & 0.0282053524949296 & 0.0141026762474648 \tabularnewline
112 & 0.987865340599864 & 0.0242693188002725 & 0.0121346594001363 \tabularnewline
113 & 0.986668525518334 & 0.0266629489633324 & 0.0133314744816662 \tabularnewline
114 & 0.993633556941805 & 0.0127328861163896 & 0.00636644305819479 \tabularnewline
115 & 0.993212719783869 & 0.0135745604322627 & 0.00678728021613136 \tabularnewline
116 & 0.991455052548978 & 0.0170898949020442 & 0.0085449474510221 \tabularnewline
117 & 0.98947124287909 & 0.0210575142418203 & 0.0105287571209101 \tabularnewline
118 & 0.990813736046516 & 0.018372527906968 & 0.00918626395348401 \tabularnewline
119 & 0.989434644673216 & 0.0211307106535676 & 0.0105653553267838 \tabularnewline
120 & 0.991227599913588 & 0.0175448001728243 & 0.00877240008641213 \tabularnewline
121 & 0.990862952975844 & 0.0182740940483117 & 0.00913704702415583 \tabularnewline
122 & 0.994120615524007 & 0.0117587689519859 & 0.00587938447599296 \tabularnewline
123 & 0.994015722345699 & 0.0119685553086017 & 0.00598427765430085 \tabularnewline
124 & 0.993653337508564 & 0.0126933249828714 & 0.00634666249143571 \tabularnewline
125 & 0.995354736492174 & 0.0092905270156523 & 0.00464526350782615 \tabularnewline
126 & 0.994935324863841 & 0.0101293502723171 & 0.00506467513615855 \tabularnewline
127 & 0.994474774305108 & 0.0110504513897833 & 0.00552522569489165 \tabularnewline
128 & 0.993862576351695 & 0.0122748472966095 & 0.00613742364830473 \tabularnewline
129 & 0.993096133390028 & 0.0138077332199449 & 0.00690386660997247 \tabularnewline
130 & 0.995178407183236 & 0.00964318563352745 & 0.00482159281676373 \tabularnewline
131 & 0.995148498898131 & 0.00970300220373836 & 0.00485150110186918 \tabularnewline
132 & 0.993978914889272 & 0.012042170221456 & 0.00602108511072802 \tabularnewline
133 & 0.993174975434584 & 0.0136500491308329 & 0.00682502456541644 \tabularnewline
134 & 0.991688698335352 & 0.0166226033292966 & 0.00831130166464832 \tabularnewline
135 & 0.991862511971093 & 0.016274976057814 & 0.00813748802890698 \tabularnewline
136 & 0.991683804248844 & 0.016632391502313 & 0.00831619575115652 \tabularnewline
137 & 0.993813003815968 & 0.0123739923680635 & 0.00618699618403175 \tabularnewline
138 & 0.993459801538324 & 0.0130803969233526 & 0.00654019846167628 \tabularnewline
139 & 0.992603654693337 & 0.0147926906133265 & 0.00739634530666323 \tabularnewline
140 & 0.99319661251653 & 0.0136067749669397 & 0.00680338748346987 \tabularnewline
141 & 0.992479349063737 & 0.0150413018725268 & 0.00752065093626341 \tabularnewline
142 & 0.991904679761522 & 0.0161906404769553 & 0.00809532023847767 \tabularnewline
143 & 0.99002501533789 & 0.0199499693242206 & 0.0099749846621103 \tabularnewline
144 & 0.987569530742685 & 0.0248609385146297 & 0.0124304692573148 \tabularnewline
145 & 0.99529926473313 & 0.00940147053373906 & 0.00470073526686953 \tabularnewline
146 & 0.994883787573797 & 0.0102324248524063 & 0.00511621242620316 \tabularnewline
147 & 0.997801717371086 & 0.00439656525782747 & 0.00219828262891373 \tabularnewline
148 & 0.997229432230246 & 0.00554113553950744 & 0.00277056776975372 \tabularnewline
149 & 0.996965891724308 & 0.00606821655138376 & 0.00303410827569188 \tabularnewline
150 & 0.998663324911607 & 0.00267335017678552 & 0.00133667508839276 \tabularnewline
151 & 0.999528303147282 & 0.00094339370543595 & 0.000471696852717975 \tabularnewline
152 & 0.999968230816327 & 6.35383673465432e-05 & 3.17691836732716e-05 \tabularnewline
153 & 0.999975571938525 & 4.88561229492823e-05 & 2.44280614746411e-05 \tabularnewline
154 & 0.999977763618906 & 4.44727621886459e-05 & 2.22363810943229e-05 \tabularnewline
155 & 0.999982427768247 & 3.51444635053778e-05 & 1.75722317526889e-05 \tabularnewline
156 & 0.999990731329166 & 1.85373416673964e-05 & 9.26867083369822e-06 \tabularnewline
157 & 0.999998678807377 & 2.64238524567613e-06 & 1.32119262283806e-06 \tabularnewline
158 & 0.999998193910001 & 3.61217999864842e-06 & 1.80608999932421e-06 \tabularnewline
159 & 0.999998360388738 & 3.279222524228e-06 & 1.639611262114e-06 \tabularnewline
160 & 0.999997819094661 & 4.36181067745403e-06 & 2.18090533872702e-06 \tabularnewline
161 & 0.999996763787175 & 6.47242565093545e-06 & 3.23621282546772e-06 \tabularnewline
162 & 0.99999898312234 & 2.03375531915073e-06 & 1.01687765957537e-06 \tabularnewline
163 & 0.999998699460056 & 2.60107988712402e-06 & 1.30053994356201e-06 \tabularnewline
164 & 0.999998139274612 & 3.72145077541323e-06 & 1.86072538770662e-06 \tabularnewline
165 & 0.999997510367475 & 4.97926505084794e-06 & 2.48963252542397e-06 \tabularnewline
166 & 0.999999437831232 & 1.12433753512377e-06 & 5.62168767561883e-07 \tabularnewline
167 & 0.999999315216358 & 1.36956728442919e-06 & 6.84783642214593e-07 \tabularnewline
168 & 0.99999943469381 & 1.13061237947051e-06 & 5.65306189735255e-07 \tabularnewline
169 & 0.999999160051622 & 1.67989675570251e-06 & 8.39948377851257e-07 \tabularnewline
170 & 0.99999912618367 & 1.74763266090619e-06 & 8.73816330453095e-07 \tabularnewline
171 & 0.99999928219603 & 1.43560794043364e-06 & 7.1780397021682e-07 \tabularnewline
172 & 0.99999929459274 & 1.41081452076231e-06 & 7.05407260381157e-07 \tabularnewline
173 & 0.999999009340602 & 1.98131879675125e-06 & 9.90659398375625e-07 \tabularnewline
174 & 0.999999008871876 & 1.98225624708309e-06 & 9.91128123541543e-07 \tabularnewline
175 & 0.999999998166468 & 3.66706401821748e-09 & 1.83353200910874e-09 \tabularnewline
176 & 0.999999998289649 & 3.42070117219698e-09 & 1.71035058609849e-09 \tabularnewline
177 & 0.999999998113977 & 3.77204514233367e-09 & 1.88602257116683e-09 \tabularnewline
178 & 0.999999997103039 & 5.79392147098372e-09 & 2.89696073549186e-09 \tabularnewline
179 & 0.99999999984607 & 3.07860116564301e-10 & 1.53930058282151e-10 \tabularnewline
180 & 0.999999999763131 & 4.73738608436151e-10 & 2.36869304218076e-10 \tabularnewline
181 & 0.999999999931897 & 1.36205372327093e-10 & 6.81026861635466e-11 \tabularnewline
182 & 0.999999999912841 & 1.74317443826089e-10 & 8.71587219130445e-11 \tabularnewline
183 & 0.999999999938426 & 1.23147754331159e-10 & 6.15738771655795e-11 \tabularnewline
184 & 0.999999999900806 & 1.98388896990688e-10 & 9.9194448495344e-11 \tabularnewline
185 & 0.999999999835229 & 3.29541238124339e-10 & 1.6477061906217e-10 \tabularnewline
186 & 0.999999999872957 & 2.54086470016796e-10 & 1.27043235008398e-10 \tabularnewline
187 & 0.999999999878177 & 2.43646275414463e-10 & 1.21823137707231e-10 \tabularnewline
188 & 0.999999999886569 & 2.26861603327233e-10 & 1.13430801663617e-10 \tabularnewline
189 & 0.999999999814567 & 3.70866144992294e-10 & 1.85433072496147e-10 \tabularnewline
190 & 0.999999999668116 & 6.63768296838707e-10 & 3.31884148419354e-10 \tabularnewline
191 & 0.999999999499081 & 1.00183855891355e-09 & 5.00919279456775e-10 \tabularnewline
192 & 0.999999999128835 & 1.7423301845586e-09 & 8.71165092279302e-10 \tabularnewline
193 & 0.999999999236306 & 1.52738772419456e-09 & 7.6369386209728e-10 \tabularnewline
194 & 0.999999999029127 & 1.94174642740182e-09 & 9.70873213700911e-10 \tabularnewline
195 & 0.999999999466554 & 1.06689120478333e-09 & 5.33445602391664e-10 \tabularnewline
196 & 0.999999999254499 & 1.49100208364685e-09 & 7.45501041823427e-10 \tabularnewline
197 & 0.999999999235673 & 1.52865344770346e-09 & 7.6432672385173e-10 \tabularnewline
198 & 0.99999999873876 & 2.52248065509358e-09 & 1.26124032754679e-09 \tabularnewline
199 & 0.999999998205199 & 3.58960226408204e-09 & 1.79480113204102e-09 \tabularnewline
200 & 0.999999997377953 & 5.24409431847877e-09 & 2.62204715923939e-09 \tabularnewline
201 & 0.999999995335627 & 9.32874685895296e-09 & 4.66437342947648e-09 \tabularnewline
202 & 0.999999992571095 & 1.48578110758359e-08 & 7.42890553791793e-09 \tabularnewline
203 & 0.999999987089451 & 2.58210979866283e-08 & 1.29105489933141e-08 \tabularnewline
204 & 0.999999980301079 & 3.93978425690814e-08 & 1.96989212845407e-08 \tabularnewline
205 & 0.999999966556049 & 6.68879014442137e-08 & 3.34439507221068e-08 \tabularnewline
206 & 0.999999942295682 & 1.15408636626755e-07 & 5.77043183133774e-08 \tabularnewline
207 & 0.99999990283998 & 1.94320039663406e-07 & 9.71600198317028e-08 \tabularnewline
208 & 0.999999839950302 & 3.2009939647524e-07 & 1.6004969823762e-07 \tabularnewline
209 & 0.999999734490481 & 5.31019037324858e-07 & 2.65509518662429e-07 \tabularnewline
210 & 0.999999879740772 & 2.40518456416544e-07 & 1.20259228208272e-07 \tabularnewline
211 & 0.999999905961188 & 1.8807762486135e-07 & 9.40388124306752e-08 \tabularnewline
212 & 0.999999843040968 & 3.13918063739765e-07 & 1.56959031869882e-07 \tabularnewline
213 & 0.999999775982892 & 4.48034215217284e-07 & 2.24017107608642e-07 \tabularnewline
214 & 0.999999744601562 & 5.1079687631706e-07 & 2.5539843815853e-07 \tabularnewline
215 & 0.999999654266504 & 6.91466992622368e-07 & 3.45733496311184e-07 \tabularnewline
216 & 0.999999916915641 & 1.66168718881706e-07 & 8.30843594408528e-08 \tabularnewline
217 & 0.999999860717042 & 2.78565915677272e-07 & 1.39282957838636e-07 \tabularnewline
218 & 0.999999754303375 & 4.91393250744117e-07 & 2.45696625372059e-07 \tabularnewline
219 & 0.999999581155977 & 8.37688045193624e-07 & 4.18844022596812e-07 \tabularnewline
220 & 0.999999590606086 & 8.1878782856426e-07 & 4.0939391428213e-07 \tabularnewline
221 & 0.99999968607283 & 6.27854339998736e-07 & 3.13927169999368e-07 \tabularnewline
222 & 0.999999716494182 & 5.67011636127843e-07 & 2.83505818063921e-07 \tabularnewline
223 & 0.999999727590075 & 5.44819849551699e-07 & 2.72409924775849e-07 \tabularnewline
224 & 0.999999727912151 & 5.44175697967312e-07 & 2.72087848983656e-07 \tabularnewline
225 & 0.999999619886971 & 7.6022605749616e-07 & 3.8011302874808e-07 \tabularnewline
226 & 0.999999951815084 & 9.63698314265059e-08 & 4.8184915713253e-08 \tabularnewline
227 & 0.99999999227164 & 1.5456720761416e-08 & 7.72836038070802e-09 \tabularnewline
228 & 0.999999991733387 & 1.65332250891991e-08 & 8.26661254459955e-09 \tabularnewline
229 & 0.999999993754385 & 1.2491230771591e-08 & 6.24561538579548e-09 \tabularnewline
230 & 0.999999996697718 & 6.60456419799549e-09 & 3.30228209899774e-09 \tabularnewline
231 & 0.999999994743399 & 1.0513202284524e-08 & 5.256601142262e-09 \tabularnewline
232 & 0.999999990571901 & 1.8856197887927e-08 & 9.42809894396351e-09 \tabularnewline
233 & 0.999999982530938 & 3.49381232327734e-08 & 1.74690616163867e-08 \tabularnewline
234 & 0.999999966092288 & 6.78154240386976e-08 & 3.39077120193488e-08 \tabularnewline
235 & 0.999999942498249 & 1.15003502245451e-07 & 5.75017511227256e-08 \tabularnewline
236 & 0.999999908171952 & 1.83656096139943e-07 & 9.18280480699717e-08 \tabularnewline
237 & 0.999999872376302 & 2.55247396449348e-07 & 1.27623698224674e-07 \tabularnewline
238 & 0.999999877723441 & 2.4455311713138e-07 & 1.2227655856569e-07 \tabularnewline
239 & 0.999999821982512 & 3.5603497502805e-07 & 1.78017487514025e-07 \tabularnewline
240 & 0.999999690813901 & 6.18372197215329e-07 & 3.09186098607665e-07 \tabularnewline
241 & 0.999999551274154 & 8.9745169303193e-07 & 4.48725846515965e-07 \tabularnewline
242 & 0.999999164659481 & 1.67068103829252e-06 & 8.35340519146259e-07 \tabularnewline
243 & 0.999998371132236 & 3.25773552752677e-06 & 1.62886776376339e-06 \tabularnewline
244 & 0.99999791306855 & 4.17386289944921e-06 & 2.0869314497246e-06 \tabularnewline
245 & 0.999996054057175 & 7.89188565053773e-06 & 3.94594282526886e-06 \tabularnewline
246 & 0.999992899238426 & 1.42015231480976e-05 & 7.10076157404878e-06 \tabularnewline
247 & 0.999992027768009 & 1.59444639826297e-05 & 7.97223199131483e-06 \tabularnewline
248 & 0.999988825233216 & 2.23495335682453e-05 & 1.11747667841227e-05 \tabularnewline
249 & 0.999983170953933 & 3.36580921331665e-05 & 1.68290460665833e-05 \tabularnewline
250 & 0.999977063149746 & 4.58737005087589e-05 & 2.29368502543795e-05 \tabularnewline
251 & 0.999964862326186 & 7.02753476286849e-05 & 3.51376738143425e-05 \tabularnewline
252 & 0.999947396623821 & 0.000105206752358409 & 5.26033761792045e-05 \tabularnewline
253 & 0.999933129511873 & 0.000133740976253616 & 6.68704881268082e-05 \tabularnewline
254 & 0.99987559991659 & 0.000248800166818945 & 0.000124400083409473 \tabularnewline
255 & 0.99980646061788 & 0.00038707876423945 & 0.000193539382119725 \tabularnewline
256 & 0.999761589026634 & 0.000476821946730976 & 0.000238410973365488 \tabularnewline
257 & 0.999573435037717 & 0.000853129924565799 & 0.000426564962282899 \tabularnewline
258 & 0.999278423306257 & 0.00144315338748602 & 0.00072157669374301 \tabularnewline
259 & 0.998732762037793 & 0.00253447592441318 & 0.00126723796220659 \tabularnewline
260 & 0.997999546670302 & 0.00400090665939544 & 0.00200045332969772 \tabularnewline
261 & 0.9981082964728 & 0.00378340705440057 & 0.00189170352720028 \tabularnewline
262 & 0.997152587973097 & 0.00569482405380686 & 0.00284741202690343 \tabularnewline
263 & 0.996219626847611 & 0.00756074630477734 & 0.00378037315238867 \tabularnewline
264 & 0.993773009158623 & 0.0124539816827539 & 0.00622699084137697 \tabularnewline
265 & 0.99256852110425 & 0.0148629577915003 & 0.00743147889575016 \tabularnewline
266 & 0.987730051617839 & 0.0245398967643216 & 0.0122699483821608 \tabularnewline
267 & 0.985817088998805 & 0.0283658220023891 & 0.0141829110011945 \tabularnewline
268 & 0.981160715123709 & 0.0376785697525813 & 0.0188392848762906 \tabularnewline
269 & 0.978122579128795 & 0.0437548417424102 & 0.0218774208712051 \tabularnewline
270 & 0.964907226065773 & 0.070185547868454 & 0.035092773934227 \tabularnewline
271 & 0.96707678152242 & 0.0658464369551601 & 0.03292321847758 \tabularnewline
272 & 0.966640203609192 & 0.0667195927816154 & 0.0333597963908077 \tabularnewline
273 & 0.997417387027511 & 0.00516522594497835 & 0.00258261297248917 \tabularnewline
274 & 0.998837655821668 & 0.00232468835666363 & 0.00116234417833181 \tabularnewline
275 & 0.997110601198122 & 0.00577879760375587 & 0.00288939880187794 \tabularnewline
276 & 0.994955984831057 & 0.0100880303378865 & 0.00504401516894324 \tabularnewline
277 & 0.989317230092443 & 0.0213655398151144 & 0.0106827699075572 \tabularnewline
278 & 0.976273793969149 & 0.0474524120617021 & 0.0237262060308511 \tabularnewline
279 & 0.94848742652603 & 0.10302514694794 & 0.0515125734739702 \tabularnewline
280 & 0.945862613453226 & 0.108274773093547 & 0.0541373865467736 \tabularnewline
281 & 0.88263634129818 & 0.234727317403641 & 0.11736365870182 \tabularnewline
282 & 0.762044263493871 & 0.475911473012258 & 0.237955736506129 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158356&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]0.250666687787307[/C][C]0.501333375574613[/C][C]0.749333312212693[/C][/ROW]
[ROW][C]8[/C][C]0.270930178507364[/C][C]0.541860357014727[/C][C]0.729069821492636[/C][/ROW]
[ROW][C]9[/C][C]0.606978276666084[/C][C]0.786043446667832[/C][C]0.393021723333916[/C][/ROW]
[ROW][C]10[/C][C]0.604323354472682[/C][C]0.791353291054637[/C][C]0.395676645527318[/C][/ROW]
[ROW][C]11[/C][C]0.490179052078785[/C][C]0.98035810415757[/C][C]0.509820947921215[/C][/ROW]
[ROW][C]12[/C][C]0.444986049438566[/C][C]0.889972098877132[/C][C]0.555013950561434[/C][/ROW]
[ROW][C]13[/C][C]0.416157120883454[/C][C]0.832314241766909[/C][C]0.583842879116546[/C][/ROW]
[ROW][C]14[/C][C]0.325198637027782[/C][C]0.650397274055564[/C][C]0.674801362972218[/C][/ROW]
[ROW][C]15[/C][C]0.485409090438642[/C][C]0.970818180877284[/C][C]0.514590909561358[/C][/ROW]
[ROW][C]16[/C][C]0.494590544431352[/C][C]0.989181088862705[/C][C]0.505409455568648[/C][/ROW]
[ROW][C]17[/C][C]0.416734208639904[/C][C]0.833468417279808[/C][C]0.583265791360096[/C][/ROW]
[ROW][C]18[/C][C]0.42866474295377[/C][C]0.85732948590754[/C][C]0.57133525704623[/C][/ROW]
[ROW][C]19[/C][C]0.648872622156893[/C][C]0.702254755686213[/C][C]0.351127377843107[/C][/ROW]
[ROW][C]20[/C][C]0.583518155668066[/C][C]0.832963688663868[/C][C]0.416481844331934[/C][/ROW]
[ROW][C]21[/C][C]0.630885153375658[/C][C]0.738229693248684[/C][C]0.369114846624342[/C][/ROW]
[ROW][C]22[/C][C]0.608767858893946[/C][C]0.782464282212109[/C][C]0.391232141106054[/C][/ROW]
[ROW][C]23[/C][C]0.541924806764259[/C][C]0.916150386471483[/C][C]0.458075193235741[/C][/ROW]
[ROW][C]24[/C][C]0.480693926805433[/C][C]0.961387853610866[/C][C]0.519306073194567[/C][/ROW]
[ROW][C]25[/C][C]0.79668346939067[/C][C]0.40663306121866[/C][C]0.20331653060933[/C][/ROW]
[ROW][C]26[/C][C]0.753817026515062[/C][C]0.492365946969875[/C][C]0.246182973484938[/C][/ROW]
[ROW][C]27[/C][C]0.703824780559233[/C][C]0.592350438881535[/C][C]0.296175219440767[/C][/ROW]
[ROW][C]28[/C][C]0.677636535162034[/C][C]0.644726929675932[/C][C]0.322363464837966[/C][/ROW]
[ROW][C]29[/C][C]0.662398021971235[/C][C]0.67520395605753[/C][C]0.337601978028765[/C][/ROW]
[ROW][C]30[/C][C]0.610884443458047[/C][C]0.778231113083906[/C][C]0.389115556541953[/C][/ROW]
[ROW][C]31[/C][C]0.574306334397422[/C][C]0.851387331205157[/C][C]0.425693665602578[/C][/ROW]
[ROW][C]32[/C][C]0.601192105233617[/C][C]0.797615789532767[/C][C]0.398807894766383[/C][/ROW]
[ROW][C]33[/C][C]0.606058791700452[/C][C]0.787882416599096[/C][C]0.393941208299548[/C][/ROW]
[ROW][C]34[/C][C]0.746861814891526[/C][C]0.506276370216948[/C][C]0.253138185108474[/C][/ROW]
[ROW][C]35[/C][C]0.761111135822927[/C][C]0.477777728354147[/C][C]0.238888864177073[/C][/ROW]
[ROW][C]36[/C][C]0.719553651049708[/C][C]0.560892697900584[/C][C]0.280446348950292[/C][/ROW]
[ROW][C]37[/C][C]0.757475503631051[/C][C]0.485048992737898[/C][C]0.242524496368949[/C][/ROW]
[ROW][C]38[/C][C]0.724176994610856[/C][C]0.551646010778287[/C][C]0.275823005389144[/C][/ROW]
[ROW][C]39[/C][C]0.681065970108472[/C][C]0.637868059783056[/C][C]0.318934029891528[/C][/ROW]
[ROW][C]40[/C][C]0.806915048255721[/C][C]0.386169903488557[/C][C]0.193084951744279[/C][/ROW]
[ROW][C]41[/C][C]0.791836807477621[/C][C]0.416326385044758[/C][C]0.208163192522379[/C][/ROW]
[ROW][C]42[/C][C]0.804090900984241[/C][C]0.391818198031518[/C][C]0.195909099015759[/C][/ROW]
[ROW][C]43[/C][C]0.866949911040569[/C][C]0.266100177918863[/C][C]0.133050088959431[/C][/ROW]
[ROW][C]44[/C][C]0.843612088899901[/C][C]0.312775822200198[/C][C]0.156387911100099[/C][/ROW]
[ROW][C]45[/C][C]0.867177481408848[/C][C]0.265645037182305[/C][C]0.132822518591152[/C][/ROW]
[ROW][C]46[/C][C]0.848568679933306[/C][C]0.302862640133387[/C][C]0.151431320066694[/C][/ROW]
[ROW][C]47[/C][C]0.879355380933851[/C][C]0.241289238132298[/C][C]0.120644619066149[/C][/ROW]
[ROW][C]48[/C][C]0.85862046696609[/C][C]0.282759066067821[/C][C]0.14137953303391[/C][/ROW]
[ROW][C]49[/C][C]0.83417672718783[/C][C]0.331646545624341[/C][C]0.16582327281217[/C][/ROW]
[ROW][C]50[/C][C]0.932696895292796[/C][C]0.134606209414409[/C][C]0.0673031047072044[/C][/ROW]
[ROW][C]51[/C][C]0.919420766097671[/C][C]0.161158467804659[/C][C]0.0805792339023293[/C][/ROW]
[ROW][C]52[/C][C]0.903601811214836[/C][C]0.192796377570327[/C][C]0.0963981887851637[/C][/ROW]
[ROW][C]53[/C][C]0.924274622756802[/C][C]0.151450754486395[/C][C]0.0757253772431977[/C][/ROW]
[ROW][C]54[/C][C]0.908125840497477[/C][C]0.183748319005046[/C][C]0.0918741595025232[/C][/ROW]
[ROW][C]55[/C][C]0.901353197719545[/C][C]0.197293604560909[/C][C]0.0986468022804546[/C][/ROW]
[ROW][C]56[/C][C]0.886495482013691[/C][C]0.227009035972619[/C][C]0.113504517986309[/C][/ROW]
[ROW][C]57[/C][C]0.922873943121525[/C][C]0.15425211375695[/C][C]0.0771260568784752[/C][/ROW]
[ROW][C]58[/C][C]0.910510767616386[/C][C]0.178978464767229[/C][C]0.0894892323836144[/C][/ROW]
[ROW][C]59[/C][C]0.89397162339596[/C][C]0.21205675320808[/C][C]0.10602837660404[/C][/ROW]
[ROW][C]60[/C][C]0.900655651504893[/C][C]0.198688696990213[/C][C]0.0993443484951067[/C][/ROW]
[ROW][C]61[/C][C]0.882238665159622[/C][C]0.235522669680755[/C][C]0.117761334840378[/C][/ROW]
[ROW][C]62[/C][C]0.936139638843017[/C][C]0.127720722313965[/C][C]0.0638603611569827[/C][/ROW]
[ROW][C]63[/C][C]0.994562906671546[/C][C]0.010874186656907[/C][C]0.0054370933284535[/C][/ROW]
[ROW][C]64[/C][C]0.993994384424862[/C][C]0.0120112311502763[/C][C]0.00600561557513814[/C][/ROW]
[ROW][C]65[/C][C]0.992477358574786[/C][C]0.015045282850427[/C][C]0.0075226414252135[/C][/ROW]
[ROW][C]66[/C][C]0.991635015067411[/C][C]0.0167299698651786[/C][C]0.00836498493258932[/C][/ROW]
[ROW][C]67[/C][C]0.989344914277294[/C][C]0.021310171445413[/C][C]0.0106550857227065[/C][/ROW]
[ROW][C]68[/C][C]0.986630214827254[/C][C]0.0267395703454917[/C][C]0.0133697851727458[/C][/ROW]
[ROW][C]69[/C][C]0.990942676410933[/C][C]0.0181146471781338[/C][C]0.00905732358906692[/C][/ROW]
[ROW][C]70[/C][C]0.990861777091352[/C][C]0.0182764458172963[/C][C]0.00913822290864817[/C][/ROW]
[ROW][C]71[/C][C]0.989006767453085[/C][C]0.021986465093829[/C][C]0.0109932325469145[/C][/ROW]
[ROW][C]72[/C][C]0.988238753700784[/C][C]0.0235224925984326[/C][C]0.0117612462992163[/C][/ROW]
[ROW][C]73[/C][C]0.985616962562282[/C][C]0.0287660748754353[/C][C]0.0143830374377177[/C][/ROW]
[ROW][C]74[/C][C]0.983302900722355[/C][C]0.0333941985552897[/C][C]0.0166970992776449[/C][/ROW]
[ROW][C]75[/C][C]0.979234641429829[/C][C]0.0415307171403423[/C][C]0.0207653585701712[/C][/ROW]
[ROW][C]76[/C][C]0.974097052691079[/C][C]0.0518058946178424[/C][C]0.0259029473089212[/C][/ROW]
[ROW][C]77[/C][C]0.968519151933195[/C][C]0.0629616961336091[/C][C]0.0314808480668045[/C][/ROW]
[ROW][C]78[/C][C]0.975930864693586[/C][C]0.0481382706128284[/C][C]0.0240691353064142[/C][/ROW]
[ROW][C]79[/C][C]0.971216565508099[/C][C]0.057566868983802[/C][C]0.028783434491901[/C][/ROW]
[ROW][C]80[/C][C]0.986678350590451[/C][C]0.0266432988190987[/C][C]0.0133216494095493[/C][/ROW]
[ROW][C]81[/C][C]0.983553219674076[/C][C]0.0328935606518479[/C][C]0.016446780325924[/C][/ROW]
[ROW][C]82[/C][C]0.987284230695676[/C][C]0.0254315386086483[/C][C]0.0127157693043241[/C][/ROW]
[ROW][C]83[/C][C]0.986241307426354[/C][C]0.0275173851472913[/C][C]0.0137586925736456[/C][/ROW]
[ROW][C]84[/C][C]0.983249614079859[/C][C]0.0335007718402828[/C][C]0.0167503859201414[/C][/ROW]
[ROW][C]85[/C][C]0.981241678963025[/C][C]0.0375166420739499[/C][C]0.018758321036975[/C][/ROW]
[ROW][C]86[/C][C]0.981320127180024[/C][C]0.037359745639951[/C][C]0.0186798728199755[/C][/ROW]
[ROW][C]87[/C][C]0.979294236785811[/C][C]0.0414115264283779[/C][C]0.020705763214189[/C][/ROW]
[ROW][C]88[/C][C]0.975816581623897[/C][C]0.0483668367522054[/C][C]0.0241834183761027[/C][/ROW]
[ROW][C]89[/C][C]0.971666834154889[/C][C]0.0566663316902224[/C][C]0.0283331658451112[/C][/ROW]
[ROW][C]90[/C][C]0.969742983595039[/C][C]0.0605140328099225[/C][C]0.0302570164049613[/C][/ROW]
[ROW][C]91[/C][C]0.966673307997907[/C][C]0.066653384004186[/C][C]0.033326692002093[/C][/ROW]
[ROW][C]92[/C][C]0.972379627749895[/C][C]0.0552407445002103[/C][C]0.0276203722501051[/C][/ROW]
[ROW][C]93[/C][C]0.966819087845416[/C][C]0.0663618243091677[/C][C]0.0331809121545839[/C][/ROW]
[ROW][C]94[/C][C]0.973876555712134[/C][C]0.0522468885757312[/C][C]0.0261234442878656[/C][/ROW]
[ROW][C]95[/C][C]0.969950016914589[/C][C]0.0600999661708228[/C][C]0.0300499830854114[/C][/ROW]
[ROW][C]96[/C][C]0.965231355918736[/C][C]0.069537288162529[/C][C]0.0347686440812645[/C][/ROW]
[ROW][C]97[/C][C]0.958214094043435[/C][C]0.0835718119131289[/C][C]0.0417859059565645[/C][/ROW]
[ROW][C]98[/C][C]0.952085119424564[/C][C]0.0958297611508712[/C][C]0.0479148805754356[/C][/ROW]
[ROW][C]99[/C][C]0.951068260737355[/C][C]0.097863478525291[/C][C]0.0489317392626455[/C][/ROW]
[ROW][C]100[/C][C]0.955343596109777[/C][C]0.0893128077804465[/C][C]0.0446564038902233[/C][/ROW]
[ROW][C]101[/C][C]0.947598315163946[/C][C]0.104803369672108[/C][C]0.0524016848360542[/C][/ROW]
[ROW][C]102[/C][C]0.939194171193682[/C][C]0.121611657612636[/C][C]0.060805828806318[/C][/ROW]
[ROW][C]103[/C][C]0.930329452976336[/C][C]0.139341094047329[/C][C]0.0696705470236643[/C][/ROW]
[ROW][C]104[/C][C]0.93498808948743[/C][C]0.13002382102514[/C][C]0.0650119105125699[/C][/ROW]
[ROW][C]105[/C][C]0.933206056661373[/C][C]0.133587886677255[/C][C]0.0667939433386273[/C][/ROW]
[ROW][C]106[/C][C]0.922690140109371[/C][C]0.154619719781259[/C][C]0.0773098598906295[/C][/ROW]
[ROW][C]107[/C][C]0.976014966683991[/C][C]0.047970066632018[/C][C]0.023985033316009[/C][/ROW]
[ROW][C]108[/C][C]0.979596306201443[/C][C]0.0408073875971149[/C][C]0.0204036937985574[/C][/ROW]
[ROW][C]109[/C][C]0.983240118544892[/C][C]0.0335197629102158[/C][C]0.0167598814551079[/C][/ROW]
[ROW][C]110[/C][C]0.987734763751853[/C][C]0.0245304724962933[/C][C]0.0122652362481466[/C][/ROW]
[ROW][C]111[/C][C]0.985897323752535[/C][C]0.0282053524949296[/C][C]0.0141026762474648[/C][/ROW]
[ROW][C]112[/C][C]0.987865340599864[/C][C]0.0242693188002725[/C][C]0.0121346594001363[/C][/ROW]
[ROW][C]113[/C][C]0.986668525518334[/C][C]0.0266629489633324[/C][C]0.0133314744816662[/C][/ROW]
[ROW][C]114[/C][C]0.993633556941805[/C][C]0.0127328861163896[/C][C]0.00636644305819479[/C][/ROW]
[ROW][C]115[/C][C]0.993212719783869[/C][C]0.0135745604322627[/C][C]0.00678728021613136[/C][/ROW]
[ROW][C]116[/C][C]0.991455052548978[/C][C]0.0170898949020442[/C][C]0.0085449474510221[/C][/ROW]
[ROW][C]117[/C][C]0.98947124287909[/C][C]0.0210575142418203[/C][C]0.0105287571209101[/C][/ROW]
[ROW][C]118[/C][C]0.990813736046516[/C][C]0.018372527906968[/C][C]0.00918626395348401[/C][/ROW]
[ROW][C]119[/C][C]0.989434644673216[/C][C]0.0211307106535676[/C][C]0.0105653553267838[/C][/ROW]
[ROW][C]120[/C][C]0.991227599913588[/C][C]0.0175448001728243[/C][C]0.00877240008641213[/C][/ROW]
[ROW][C]121[/C][C]0.990862952975844[/C][C]0.0182740940483117[/C][C]0.00913704702415583[/C][/ROW]
[ROW][C]122[/C][C]0.994120615524007[/C][C]0.0117587689519859[/C][C]0.00587938447599296[/C][/ROW]
[ROW][C]123[/C][C]0.994015722345699[/C][C]0.0119685553086017[/C][C]0.00598427765430085[/C][/ROW]
[ROW][C]124[/C][C]0.993653337508564[/C][C]0.0126933249828714[/C][C]0.00634666249143571[/C][/ROW]
[ROW][C]125[/C][C]0.995354736492174[/C][C]0.0092905270156523[/C][C]0.00464526350782615[/C][/ROW]
[ROW][C]126[/C][C]0.994935324863841[/C][C]0.0101293502723171[/C][C]0.00506467513615855[/C][/ROW]
[ROW][C]127[/C][C]0.994474774305108[/C][C]0.0110504513897833[/C][C]0.00552522569489165[/C][/ROW]
[ROW][C]128[/C][C]0.993862576351695[/C][C]0.0122748472966095[/C][C]0.00613742364830473[/C][/ROW]
[ROW][C]129[/C][C]0.993096133390028[/C][C]0.0138077332199449[/C][C]0.00690386660997247[/C][/ROW]
[ROW][C]130[/C][C]0.995178407183236[/C][C]0.00964318563352745[/C][C]0.00482159281676373[/C][/ROW]
[ROW][C]131[/C][C]0.995148498898131[/C][C]0.00970300220373836[/C][C]0.00485150110186918[/C][/ROW]
[ROW][C]132[/C][C]0.993978914889272[/C][C]0.012042170221456[/C][C]0.00602108511072802[/C][/ROW]
[ROW][C]133[/C][C]0.993174975434584[/C][C]0.0136500491308329[/C][C]0.00682502456541644[/C][/ROW]
[ROW][C]134[/C][C]0.991688698335352[/C][C]0.0166226033292966[/C][C]0.00831130166464832[/C][/ROW]
[ROW][C]135[/C][C]0.991862511971093[/C][C]0.016274976057814[/C][C]0.00813748802890698[/C][/ROW]
[ROW][C]136[/C][C]0.991683804248844[/C][C]0.016632391502313[/C][C]0.00831619575115652[/C][/ROW]
[ROW][C]137[/C][C]0.993813003815968[/C][C]0.0123739923680635[/C][C]0.00618699618403175[/C][/ROW]
[ROW][C]138[/C][C]0.993459801538324[/C][C]0.0130803969233526[/C][C]0.00654019846167628[/C][/ROW]
[ROW][C]139[/C][C]0.992603654693337[/C][C]0.0147926906133265[/C][C]0.00739634530666323[/C][/ROW]
[ROW][C]140[/C][C]0.99319661251653[/C][C]0.0136067749669397[/C][C]0.00680338748346987[/C][/ROW]
[ROW][C]141[/C][C]0.992479349063737[/C][C]0.0150413018725268[/C][C]0.00752065093626341[/C][/ROW]
[ROW][C]142[/C][C]0.991904679761522[/C][C]0.0161906404769553[/C][C]0.00809532023847767[/C][/ROW]
[ROW][C]143[/C][C]0.99002501533789[/C][C]0.0199499693242206[/C][C]0.0099749846621103[/C][/ROW]
[ROW][C]144[/C][C]0.987569530742685[/C][C]0.0248609385146297[/C][C]0.0124304692573148[/C][/ROW]
[ROW][C]145[/C][C]0.99529926473313[/C][C]0.00940147053373906[/C][C]0.00470073526686953[/C][/ROW]
[ROW][C]146[/C][C]0.994883787573797[/C][C]0.0102324248524063[/C][C]0.00511621242620316[/C][/ROW]
[ROW][C]147[/C][C]0.997801717371086[/C][C]0.00439656525782747[/C][C]0.00219828262891373[/C][/ROW]
[ROW][C]148[/C][C]0.997229432230246[/C][C]0.00554113553950744[/C][C]0.00277056776975372[/C][/ROW]
[ROW][C]149[/C][C]0.996965891724308[/C][C]0.00606821655138376[/C][C]0.00303410827569188[/C][/ROW]
[ROW][C]150[/C][C]0.998663324911607[/C][C]0.00267335017678552[/C][C]0.00133667508839276[/C][/ROW]
[ROW][C]151[/C][C]0.999528303147282[/C][C]0.00094339370543595[/C][C]0.000471696852717975[/C][/ROW]
[ROW][C]152[/C][C]0.999968230816327[/C][C]6.35383673465432e-05[/C][C]3.17691836732716e-05[/C][/ROW]
[ROW][C]153[/C][C]0.999975571938525[/C][C]4.88561229492823e-05[/C][C]2.44280614746411e-05[/C][/ROW]
[ROW][C]154[/C][C]0.999977763618906[/C][C]4.44727621886459e-05[/C][C]2.22363810943229e-05[/C][/ROW]
[ROW][C]155[/C][C]0.999982427768247[/C][C]3.51444635053778e-05[/C][C]1.75722317526889e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999990731329166[/C][C]1.85373416673964e-05[/C][C]9.26867083369822e-06[/C][/ROW]
[ROW][C]157[/C][C]0.999998678807377[/C][C]2.64238524567613e-06[/C][C]1.32119262283806e-06[/C][/ROW]
[ROW][C]158[/C][C]0.999998193910001[/C][C]3.61217999864842e-06[/C][C]1.80608999932421e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999998360388738[/C][C]3.279222524228e-06[/C][C]1.639611262114e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999997819094661[/C][C]4.36181067745403e-06[/C][C]2.18090533872702e-06[/C][/ROW]
[ROW][C]161[/C][C]0.999996763787175[/C][C]6.47242565093545e-06[/C][C]3.23621282546772e-06[/C][/ROW]
[ROW][C]162[/C][C]0.99999898312234[/C][C]2.03375531915073e-06[/C][C]1.01687765957537e-06[/C][/ROW]
[ROW][C]163[/C][C]0.999998699460056[/C][C]2.60107988712402e-06[/C][C]1.30053994356201e-06[/C][/ROW]
[ROW][C]164[/C][C]0.999998139274612[/C][C]3.72145077541323e-06[/C][C]1.86072538770662e-06[/C][/ROW]
[ROW][C]165[/C][C]0.999997510367475[/C][C]4.97926505084794e-06[/C][C]2.48963252542397e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999999437831232[/C][C]1.12433753512377e-06[/C][C]5.62168767561883e-07[/C][/ROW]
[ROW][C]167[/C][C]0.999999315216358[/C][C]1.36956728442919e-06[/C][C]6.84783642214593e-07[/C][/ROW]
[ROW][C]168[/C][C]0.99999943469381[/C][C]1.13061237947051e-06[/C][C]5.65306189735255e-07[/C][/ROW]
[ROW][C]169[/C][C]0.999999160051622[/C][C]1.67989675570251e-06[/C][C]8.39948377851257e-07[/C][/ROW]
[ROW][C]170[/C][C]0.99999912618367[/C][C]1.74763266090619e-06[/C][C]8.73816330453095e-07[/C][/ROW]
[ROW][C]171[/C][C]0.99999928219603[/C][C]1.43560794043364e-06[/C][C]7.1780397021682e-07[/C][/ROW]
[ROW][C]172[/C][C]0.99999929459274[/C][C]1.41081452076231e-06[/C][C]7.05407260381157e-07[/C][/ROW]
[ROW][C]173[/C][C]0.999999009340602[/C][C]1.98131879675125e-06[/C][C]9.90659398375625e-07[/C][/ROW]
[ROW][C]174[/C][C]0.999999008871876[/C][C]1.98225624708309e-06[/C][C]9.91128123541543e-07[/C][/ROW]
[ROW][C]175[/C][C]0.999999998166468[/C][C]3.66706401821748e-09[/C][C]1.83353200910874e-09[/C][/ROW]
[ROW][C]176[/C][C]0.999999998289649[/C][C]3.42070117219698e-09[/C][C]1.71035058609849e-09[/C][/ROW]
[ROW][C]177[/C][C]0.999999998113977[/C][C]3.77204514233367e-09[/C][C]1.88602257116683e-09[/C][/ROW]
[ROW][C]178[/C][C]0.999999997103039[/C][C]5.79392147098372e-09[/C][C]2.89696073549186e-09[/C][/ROW]
[ROW][C]179[/C][C]0.99999999984607[/C][C]3.07860116564301e-10[/C][C]1.53930058282151e-10[/C][/ROW]
[ROW][C]180[/C][C]0.999999999763131[/C][C]4.73738608436151e-10[/C][C]2.36869304218076e-10[/C][/ROW]
[ROW][C]181[/C][C]0.999999999931897[/C][C]1.36205372327093e-10[/C][C]6.81026861635466e-11[/C][/ROW]
[ROW][C]182[/C][C]0.999999999912841[/C][C]1.74317443826089e-10[/C][C]8.71587219130445e-11[/C][/ROW]
[ROW][C]183[/C][C]0.999999999938426[/C][C]1.23147754331159e-10[/C][C]6.15738771655795e-11[/C][/ROW]
[ROW][C]184[/C][C]0.999999999900806[/C][C]1.98388896990688e-10[/C][C]9.9194448495344e-11[/C][/ROW]
[ROW][C]185[/C][C]0.999999999835229[/C][C]3.29541238124339e-10[/C][C]1.6477061906217e-10[/C][/ROW]
[ROW][C]186[/C][C]0.999999999872957[/C][C]2.54086470016796e-10[/C][C]1.27043235008398e-10[/C][/ROW]
[ROW][C]187[/C][C]0.999999999878177[/C][C]2.43646275414463e-10[/C][C]1.21823137707231e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999999886569[/C][C]2.26861603327233e-10[/C][C]1.13430801663617e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999999814567[/C][C]3.70866144992294e-10[/C][C]1.85433072496147e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999668116[/C][C]6.63768296838707e-10[/C][C]3.31884148419354e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999499081[/C][C]1.00183855891355e-09[/C][C]5.00919279456775e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999999128835[/C][C]1.7423301845586e-09[/C][C]8.71165092279302e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999999236306[/C][C]1.52738772419456e-09[/C][C]7.6369386209728e-10[/C][/ROW]
[ROW][C]194[/C][C]0.999999999029127[/C][C]1.94174642740182e-09[/C][C]9.70873213700911e-10[/C][/ROW]
[ROW][C]195[/C][C]0.999999999466554[/C][C]1.06689120478333e-09[/C][C]5.33445602391664e-10[/C][/ROW]
[ROW][C]196[/C][C]0.999999999254499[/C][C]1.49100208364685e-09[/C][C]7.45501041823427e-10[/C][/ROW]
[ROW][C]197[/C][C]0.999999999235673[/C][C]1.52865344770346e-09[/C][C]7.6432672385173e-10[/C][/ROW]
[ROW][C]198[/C][C]0.99999999873876[/C][C]2.52248065509358e-09[/C][C]1.26124032754679e-09[/C][/ROW]
[ROW][C]199[/C][C]0.999999998205199[/C][C]3.58960226408204e-09[/C][C]1.79480113204102e-09[/C][/ROW]
[ROW][C]200[/C][C]0.999999997377953[/C][C]5.24409431847877e-09[/C][C]2.62204715923939e-09[/C][/ROW]
[ROW][C]201[/C][C]0.999999995335627[/C][C]9.32874685895296e-09[/C][C]4.66437342947648e-09[/C][/ROW]
[ROW][C]202[/C][C]0.999999992571095[/C][C]1.48578110758359e-08[/C][C]7.42890553791793e-09[/C][/ROW]
[ROW][C]203[/C][C]0.999999987089451[/C][C]2.58210979866283e-08[/C][C]1.29105489933141e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999980301079[/C][C]3.93978425690814e-08[/C][C]1.96989212845407e-08[/C][/ROW]
[ROW][C]205[/C][C]0.999999966556049[/C][C]6.68879014442137e-08[/C][C]3.34439507221068e-08[/C][/ROW]
[ROW][C]206[/C][C]0.999999942295682[/C][C]1.15408636626755e-07[/C][C]5.77043183133774e-08[/C][/ROW]
[ROW][C]207[/C][C]0.99999990283998[/C][C]1.94320039663406e-07[/C][C]9.71600198317028e-08[/C][/ROW]
[ROW][C]208[/C][C]0.999999839950302[/C][C]3.2009939647524e-07[/C][C]1.6004969823762e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999734490481[/C][C]5.31019037324858e-07[/C][C]2.65509518662429e-07[/C][/ROW]
[ROW][C]210[/C][C]0.999999879740772[/C][C]2.40518456416544e-07[/C][C]1.20259228208272e-07[/C][/ROW]
[ROW][C]211[/C][C]0.999999905961188[/C][C]1.8807762486135e-07[/C][C]9.40388124306752e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999843040968[/C][C]3.13918063739765e-07[/C][C]1.56959031869882e-07[/C][/ROW]
[ROW][C]213[/C][C]0.999999775982892[/C][C]4.48034215217284e-07[/C][C]2.24017107608642e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999999744601562[/C][C]5.1079687631706e-07[/C][C]2.5539843815853e-07[/C][/ROW]
[ROW][C]215[/C][C]0.999999654266504[/C][C]6.91466992622368e-07[/C][C]3.45733496311184e-07[/C][/ROW]
[ROW][C]216[/C][C]0.999999916915641[/C][C]1.66168718881706e-07[/C][C]8.30843594408528e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999860717042[/C][C]2.78565915677272e-07[/C][C]1.39282957838636e-07[/C][/ROW]
[ROW][C]218[/C][C]0.999999754303375[/C][C]4.91393250744117e-07[/C][C]2.45696625372059e-07[/C][/ROW]
[ROW][C]219[/C][C]0.999999581155977[/C][C]8.37688045193624e-07[/C][C]4.18844022596812e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999590606086[/C][C]8.1878782856426e-07[/C][C]4.0939391428213e-07[/C][/ROW]
[ROW][C]221[/C][C]0.99999968607283[/C][C]6.27854339998736e-07[/C][C]3.13927169999368e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999716494182[/C][C]5.67011636127843e-07[/C][C]2.83505818063921e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999727590075[/C][C]5.44819849551699e-07[/C][C]2.72409924775849e-07[/C][/ROW]
[ROW][C]224[/C][C]0.999999727912151[/C][C]5.44175697967312e-07[/C][C]2.72087848983656e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999619886971[/C][C]7.6022605749616e-07[/C][C]3.8011302874808e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999951815084[/C][C]9.63698314265059e-08[/C][C]4.8184915713253e-08[/C][/ROW]
[ROW][C]227[/C][C]0.99999999227164[/C][C]1.5456720761416e-08[/C][C]7.72836038070802e-09[/C][/ROW]
[ROW][C]228[/C][C]0.999999991733387[/C][C]1.65332250891991e-08[/C][C]8.26661254459955e-09[/C][/ROW]
[ROW][C]229[/C][C]0.999999993754385[/C][C]1.2491230771591e-08[/C][C]6.24561538579548e-09[/C][/ROW]
[ROW][C]230[/C][C]0.999999996697718[/C][C]6.60456419799549e-09[/C][C]3.30228209899774e-09[/C][/ROW]
[ROW][C]231[/C][C]0.999999994743399[/C][C]1.0513202284524e-08[/C][C]5.256601142262e-09[/C][/ROW]
[ROW][C]232[/C][C]0.999999990571901[/C][C]1.8856197887927e-08[/C][C]9.42809894396351e-09[/C][/ROW]
[ROW][C]233[/C][C]0.999999982530938[/C][C]3.49381232327734e-08[/C][C]1.74690616163867e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999966092288[/C][C]6.78154240386976e-08[/C][C]3.39077120193488e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999942498249[/C][C]1.15003502245451e-07[/C][C]5.75017511227256e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999908171952[/C][C]1.83656096139943e-07[/C][C]9.18280480699717e-08[/C][/ROW]
[ROW][C]237[/C][C]0.999999872376302[/C][C]2.55247396449348e-07[/C][C]1.27623698224674e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999877723441[/C][C]2.4455311713138e-07[/C][C]1.2227655856569e-07[/C][/ROW]
[ROW][C]239[/C][C]0.999999821982512[/C][C]3.5603497502805e-07[/C][C]1.78017487514025e-07[/C][/ROW]
[ROW][C]240[/C][C]0.999999690813901[/C][C]6.18372197215329e-07[/C][C]3.09186098607665e-07[/C][/ROW]
[ROW][C]241[/C][C]0.999999551274154[/C][C]8.9745169303193e-07[/C][C]4.48725846515965e-07[/C][/ROW]
[ROW][C]242[/C][C]0.999999164659481[/C][C]1.67068103829252e-06[/C][C]8.35340519146259e-07[/C][/ROW]
[ROW][C]243[/C][C]0.999998371132236[/C][C]3.25773552752677e-06[/C][C]1.62886776376339e-06[/C][/ROW]
[ROW][C]244[/C][C]0.99999791306855[/C][C]4.17386289944921e-06[/C][C]2.0869314497246e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999996054057175[/C][C]7.89188565053773e-06[/C][C]3.94594282526886e-06[/C][/ROW]
[ROW][C]246[/C][C]0.999992899238426[/C][C]1.42015231480976e-05[/C][C]7.10076157404878e-06[/C][/ROW]
[ROW][C]247[/C][C]0.999992027768009[/C][C]1.59444639826297e-05[/C][C]7.97223199131483e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999988825233216[/C][C]2.23495335682453e-05[/C][C]1.11747667841227e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999983170953933[/C][C]3.36580921331665e-05[/C][C]1.68290460665833e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999977063149746[/C][C]4.58737005087589e-05[/C][C]2.29368502543795e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999964862326186[/C][C]7.02753476286849e-05[/C][C]3.51376738143425e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999947396623821[/C][C]0.000105206752358409[/C][C]5.26033761792045e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999933129511873[/C][C]0.000133740976253616[/C][C]6.68704881268082e-05[/C][/ROW]
[ROW][C]254[/C][C]0.99987559991659[/C][C]0.000248800166818945[/C][C]0.000124400083409473[/C][/ROW]
[ROW][C]255[/C][C]0.99980646061788[/C][C]0.00038707876423945[/C][C]0.000193539382119725[/C][/ROW]
[ROW][C]256[/C][C]0.999761589026634[/C][C]0.000476821946730976[/C][C]0.000238410973365488[/C][/ROW]
[ROW][C]257[/C][C]0.999573435037717[/C][C]0.000853129924565799[/C][C]0.000426564962282899[/C][/ROW]
[ROW][C]258[/C][C]0.999278423306257[/C][C]0.00144315338748602[/C][C]0.00072157669374301[/C][/ROW]
[ROW][C]259[/C][C]0.998732762037793[/C][C]0.00253447592441318[/C][C]0.00126723796220659[/C][/ROW]
[ROW][C]260[/C][C]0.997999546670302[/C][C]0.00400090665939544[/C][C]0.00200045332969772[/C][/ROW]
[ROW][C]261[/C][C]0.9981082964728[/C][C]0.00378340705440057[/C][C]0.00189170352720028[/C][/ROW]
[ROW][C]262[/C][C]0.997152587973097[/C][C]0.00569482405380686[/C][C]0.00284741202690343[/C][/ROW]
[ROW][C]263[/C][C]0.996219626847611[/C][C]0.00756074630477734[/C][C]0.00378037315238867[/C][/ROW]
[ROW][C]264[/C][C]0.993773009158623[/C][C]0.0124539816827539[/C][C]0.00622699084137697[/C][/ROW]
[ROW][C]265[/C][C]0.99256852110425[/C][C]0.0148629577915003[/C][C]0.00743147889575016[/C][/ROW]
[ROW][C]266[/C][C]0.987730051617839[/C][C]0.0245398967643216[/C][C]0.0122699483821608[/C][/ROW]
[ROW][C]267[/C][C]0.985817088998805[/C][C]0.0283658220023891[/C][C]0.0141829110011945[/C][/ROW]
[ROW][C]268[/C][C]0.981160715123709[/C][C]0.0376785697525813[/C][C]0.0188392848762906[/C][/ROW]
[ROW][C]269[/C][C]0.978122579128795[/C][C]0.0437548417424102[/C][C]0.0218774208712051[/C][/ROW]
[ROW][C]270[/C][C]0.964907226065773[/C][C]0.070185547868454[/C][C]0.035092773934227[/C][/ROW]
[ROW][C]271[/C][C]0.96707678152242[/C][C]0.0658464369551601[/C][C]0.03292321847758[/C][/ROW]
[ROW][C]272[/C][C]0.966640203609192[/C][C]0.0667195927816154[/C][C]0.0333597963908077[/C][/ROW]
[ROW][C]273[/C][C]0.997417387027511[/C][C]0.00516522594497835[/C][C]0.00258261297248917[/C][/ROW]
[ROW][C]274[/C][C]0.998837655821668[/C][C]0.00232468835666363[/C][C]0.00116234417833181[/C][/ROW]
[ROW][C]275[/C][C]0.997110601198122[/C][C]0.00577879760375587[/C][C]0.00288939880187794[/C][/ROW]
[ROW][C]276[/C][C]0.994955984831057[/C][C]0.0100880303378865[/C][C]0.00504401516894324[/C][/ROW]
[ROW][C]277[/C][C]0.989317230092443[/C][C]0.0213655398151144[/C][C]0.0106827699075572[/C][/ROW]
[ROW][C]278[/C][C]0.976273793969149[/C][C]0.0474524120617021[/C][C]0.0237262060308511[/C][/ROW]
[ROW][C]279[/C][C]0.94848742652603[/C][C]0.10302514694794[/C][C]0.0515125734739702[/C][/ROW]
[ROW][C]280[/C][C]0.945862613453226[/C][C]0.108274773093547[/C][C]0.0541373865467736[/C][/ROW]
[ROW][C]281[/C][C]0.88263634129818[/C][C]0.234727317403641[/C][C]0.11736365870182[/C][/ROW]
[ROW][C]282[/C][C]0.762044263493871[/C][C]0.475911473012258[/C][C]0.237955736506129[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158356&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158356&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
70.2506666877873070.5013333755746130.749333312212693
80.2709301785073640.5418603570147270.729069821492636
90.6069782766660840.7860434466678320.393021723333916
100.6043233544726820.7913532910546370.395676645527318
110.4901790520787850.980358104157570.509820947921215
120.4449860494385660.8899720988771320.555013950561434
130.4161571208834540.8323142417669090.583842879116546
140.3251986370277820.6503972740555640.674801362972218
150.4854090904386420.9708181808772840.514590909561358
160.4945905444313520.9891810888627050.505409455568648
170.4167342086399040.8334684172798080.583265791360096
180.428664742953770.857329485907540.57133525704623
190.6488726221568930.7022547556862130.351127377843107
200.5835181556680660.8329636886638680.416481844331934
210.6308851533756580.7382296932486840.369114846624342
220.6087678588939460.7824642822121090.391232141106054
230.5419248067642590.9161503864714830.458075193235741
240.4806939268054330.9613878536108660.519306073194567
250.796683469390670.406633061218660.20331653060933
260.7538170265150620.4923659469698750.246182973484938
270.7038247805592330.5923504388815350.296175219440767
280.6776365351620340.6447269296759320.322363464837966
290.6623980219712350.675203956057530.337601978028765
300.6108844434580470.7782311130839060.389115556541953
310.5743063343974220.8513873312051570.425693665602578
320.6011921052336170.7976157895327670.398807894766383
330.6060587917004520.7878824165990960.393941208299548
340.7468618148915260.5062763702169480.253138185108474
350.7611111358229270.4777777283541470.238888864177073
360.7195536510497080.5608926979005840.280446348950292
370.7574755036310510.4850489927378980.242524496368949
380.7241769946108560.5516460107782870.275823005389144
390.6810659701084720.6378680597830560.318934029891528
400.8069150482557210.3861699034885570.193084951744279
410.7918368074776210.4163263850447580.208163192522379
420.8040909009842410.3918181980315180.195909099015759
430.8669499110405690.2661001779188630.133050088959431
440.8436120888999010.3127758222001980.156387911100099
450.8671774814088480.2656450371823050.132822518591152
460.8485686799333060.3028626401333870.151431320066694
470.8793553809338510.2412892381322980.120644619066149
480.858620466966090.2827590660678210.14137953303391
490.834176727187830.3316465456243410.16582327281217
500.9326968952927960.1346062094144090.0673031047072044
510.9194207660976710.1611584678046590.0805792339023293
520.9036018112148360.1927963775703270.0963981887851637
530.9242746227568020.1514507544863950.0757253772431977
540.9081258404974770.1837483190050460.0918741595025232
550.9013531977195450.1972936045609090.0986468022804546
560.8864954820136910.2270090359726190.113504517986309
570.9228739431215250.154252113756950.0771260568784752
580.9105107676163860.1789784647672290.0894892323836144
590.893971623395960.212056753208080.10602837660404
600.9006556515048930.1986886969902130.0993443484951067
610.8822386651596220.2355226696807550.117761334840378
620.9361396388430170.1277207223139650.0638603611569827
630.9945629066715460.0108741866569070.0054370933284535
640.9939943844248620.01201123115027630.00600561557513814
650.9924773585747860.0150452828504270.0075226414252135
660.9916350150674110.01672996986517860.00836498493258932
670.9893449142772940.0213101714454130.0106550857227065
680.9866302148272540.02673957034549170.0133697851727458
690.9909426764109330.01811464717813380.00905732358906692
700.9908617770913520.01827644581729630.00913822290864817
710.9890067674530850.0219864650938290.0109932325469145
720.9882387537007840.02352249259843260.0117612462992163
730.9856169625622820.02876607487543530.0143830374377177
740.9833029007223550.03339419855528970.0166970992776449
750.9792346414298290.04153071714034230.0207653585701712
760.9740970526910790.05180589461784240.0259029473089212
770.9685191519331950.06296169613360910.0314808480668045
780.9759308646935860.04813827061282840.0240691353064142
790.9712165655080990.0575668689838020.028783434491901
800.9866783505904510.02664329881909870.0133216494095493
810.9835532196740760.03289356065184790.016446780325924
820.9872842306956760.02543153860864830.0127157693043241
830.9862413074263540.02751738514729130.0137586925736456
840.9832496140798590.03350077184028280.0167503859201414
850.9812416789630250.03751664207394990.018758321036975
860.9813201271800240.0373597456399510.0186798728199755
870.9792942367858110.04141152642837790.020705763214189
880.9758165816238970.04836683675220540.0241834183761027
890.9716668341548890.05666633169022240.0283331658451112
900.9697429835950390.06051403280992250.0302570164049613
910.9666733079979070.0666533840041860.033326692002093
920.9723796277498950.05524074450021030.0276203722501051
930.9668190878454160.06636182430916770.0331809121545839
940.9738765557121340.05224688857573120.0261234442878656
950.9699500169145890.06009996617082280.0300499830854114
960.9652313559187360.0695372881625290.0347686440812645
970.9582140940434350.08357181191312890.0417859059565645
980.9520851194245640.09582976115087120.0479148805754356
990.9510682607373550.0978634785252910.0489317392626455
1000.9553435961097770.08931280778044650.0446564038902233
1010.9475983151639460.1048033696721080.0524016848360542
1020.9391941711936820.1216116576126360.060805828806318
1030.9303294529763360.1393410940473290.0696705470236643
1040.934988089487430.130023821025140.0650119105125699
1050.9332060566613730.1335878866772550.0667939433386273
1060.9226901401093710.1546197197812590.0773098598906295
1070.9760149666839910.0479700666320180.023985033316009
1080.9795963062014430.04080738759711490.0204036937985574
1090.9832401185448920.03351976291021580.0167598814551079
1100.9877347637518530.02453047249629330.0122652362481466
1110.9858973237525350.02820535249492960.0141026762474648
1120.9878653405998640.02426931880027250.0121346594001363
1130.9866685255183340.02666294896333240.0133314744816662
1140.9936335569418050.01273288611638960.00636644305819479
1150.9932127197838690.01357456043226270.00678728021613136
1160.9914550525489780.01708989490204420.0085449474510221
1170.989471242879090.02105751424182030.0105287571209101
1180.9908137360465160.0183725279069680.00918626395348401
1190.9894346446732160.02113071065356760.0105653553267838
1200.9912275999135880.01754480017282430.00877240008641213
1210.9908629529758440.01827409404831170.00913704702415583
1220.9941206155240070.01175876895198590.00587938447599296
1230.9940157223456990.01196855530860170.00598427765430085
1240.9936533375085640.01269332498287140.00634666249143571
1250.9953547364921740.00929052701565230.00464526350782615
1260.9949353248638410.01012935027231710.00506467513615855
1270.9944747743051080.01105045138978330.00552522569489165
1280.9938625763516950.01227484729660950.00613742364830473
1290.9930961333900280.01380773321994490.00690386660997247
1300.9951784071832360.009643185633527450.00482159281676373
1310.9951484988981310.009703002203738360.00485150110186918
1320.9939789148892720.0120421702214560.00602108511072802
1330.9931749754345840.01365004913083290.00682502456541644
1340.9916886983353520.01662260332929660.00831130166464832
1350.9918625119710930.0162749760578140.00813748802890698
1360.9916838042488440.0166323915023130.00831619575115652
1370.9938130038159680.01237399236806350.00618699618403175
1380.9934598015383240.01308039692335260.00654019846167628
1390.9926036546933370.01479269061332650.00739634530666323
1400.993196612516530.01360677496693970.00680338748346987
1410.9924793490637370.01504130187252680.00752065093626341
1420.9919046797615220.01619064047695530.00809532023847767
1430.990025015337890.01994996932422060.0099749846621103
1440.9875695307426850.02486093851462970.0124304692573148
1450.995299264733130.009401470533739060.00470073526686953
1460.9948837875737970.01023242485240630.00511621242620316
1470.9978017173710860.004396565257827470.00219828262891373
1480.9972294322302460.005541135539507440.00277056776975372
1490.9969658917243080.006068216551383760.00303410827569188
1500.9986633249116070.002673350176785520.00133667508839276
1510.9995283031472820.000943393705435950.000471696852717975
1520.9999682308163276.35383673465432e-053.17691836732716e-05
1530.9999755719385254.88561229492823e-052.44280614746411e-05
1540.9999777636189064.44727621886459e-052.22363810943229e-05
1550.9999824277682473.51444635053778e-051.75722317526889e-05
1560.9999907313291661.85373416673964e-059.26867083369822e-06
1570.9999986788073772.64238524567613e-061.32119262283806e-06
1580.9999981939100013.61217999864842e-061.80608999932421e-06
1590.9999983603887383.279222524228e-061.639611262114e-06
1600.9999978190946614.36181067745403e-062.18090533872702e-06
1610.9999967637871756.47242565093545e-063.23621282546772e-06
1620.999998983122342.03375531915073e-061.01687765957537e-06
1630.9999986994600562.60107988712402e-061.30053994356201e-06
1640.9999981392746123.72145077541323e-061.86072538770662e-06
1650.9999975103674754.97926505084794e-062.48963252542397e-06
1660.9999994378312321.12433753512377e-065.62168767561883e-07
1670.9999993152163581.36956728442919e-066.84783642214593e-07
1680.999999434693811.13061237947051e-065.65306189735255e-07
1690.9999991600516221.67989675570251e-068.39948377851257e-07
1700.999999126183671.74763266090619e-068.73816330453095e-07
1710.999999282196031.43560794043364e-067.1780397021682e-07
1720.999999294592741.41081452076231e-067.05407260381157e-07
1730.9999990093406021.98131879675125e-069.90659398375625e-07
1740.9999990088718761.98225624708309e-069.91128123541543e-07
1750.9999999981664683.66706401821748e-091.83353200910874e-09
1760.9999999982896493.42070117219698e-091.71035058609849e-09
1770.9999999981139773.77204514233367e-091.88602257116683e-09
1780.9999999971030395.79392147098372e-092.89696073549186e-09
1790.999999999846073.07860116564301e-101.53930058282151e-10
1800.9999999997631314.73738608436151e-102.36869304218076e-10
1810.9999999999318971.36205372327093e-106.81026861635466e-11
1820.9999999999128411.74317443826089e-108.71587219130445e-11
1830.9999999999384261.23147754331159e-106.15738771655795e-11
1840.9999999999008061.98388896990688e-109.9194448495344e-11
1850.9999999998352293.29541238124339e-101.6477061906217e-10
1860.9999999998729572.54086470016796e-101.27043235008398e-10
1870.9999999998781772.43646275414463e-101.21823137707231e-10
1880.9999999998865692.26861603327233e-101.13430801663617e-10
1890.9999999998145673.70866144992294e-101.85433072496147e-10
1900.9999999996681166.63768296838707e-103.31884148419354e-10
1910.9999999994990811.00183855891355e-095.00919279456775e-10
1920.9999999991288351.7423301845586e-098.71165092279302e-10
1930.9999999992363061.52738772419456e-097.6369386209728e-10
1940.9999999990291271.94174642740182e-099.70873213700911e-10
1950.9999999994665541.06689120478333e-095.33445602391664e-10
1960.9999999992544991.49100208364685e-097.45501041823427e-10
1970.9999999992356731.52865344770346e-097.6432672385173e-10
1980.999999998738762.52248065509358e-091.26124032754679e-09
1990.9999999982051993.58960226408204e-091.79480113204102e-09
2000.9999999973779535.24409431847877e-092.62204715923939e-09
2010.9999999953356279.32874685895296e-094.66437342947648e-09
2020.9999999925710951.48578110758359e-087.42890553791793e-09
2030.9999999870894512.58210979866283e-081.29105489933141e-08
2040.9999999803010793.93978425690814e-081.96989212845407e-08
2050.9999999665560496.68879014442137e-083.34439507221068e-08
2060.9999999422956821.15408636626755e-075.77043183133774e-08
2070.999999902839981.94320039663406e-079.71600198317028e-08
2080.9999998399503023.2009939647524e-071.6004969823762e-07
2090.9999997344904815.31019037324858e-072.65509518662429e-07
2100.9999998797407722.40518456416544e-071.20259228208272e-07
2110.9999999059611881.8807762486135e-079.40388124306752e-08
2120.9999998430409683.13918063739765e-071.56959031869882e-07
2130.9999997759828924.48034215217284e-072.24017107608642e-07
2140.9999997446015625.1079687631706e-072.5539843815853e-07
2150.9999996542665046.91466992622368e-073.45733496311184e-07
2160.9999999169156411.66168718881706e-078.30843594408528e-08
2170.9999998607170422.78565915677272e-071.39282957838636e-07
2180.9999997543033754.91393250744117e-072.45696625372059e-07
2190.9999995811559778.37688045193624e-074.18844022596812e-07
2200.9999995906060868.1878782856426e-074.0939391428213e-07
2210.999999686072836.27854339998736e-073.13927169999368e-07
2220.9999997164941825.67011636127843e-072.83505818063921e-07
2230.9999997275900755.44819849551699e-072.72409924775849e-07
2240.9999997279121515.44175697967312e-072.72087848983656e-07
2250.9999996198869717.6022605749616e-073.8011302874808e-07
2260.9999999518150849.63698314265059e-084.8184915713253e-08
2270.999999992271641.5456720761416e-087.72836038070802e-09
2280.9999999917333871.65332250891991e-088.26661254459955e-09
2290.9999999937543851.2491230771591e-086.24561538579548e-09
2300.9999999966977186.60456419799549e-093.30228209899774e-09
2310.9999999947433991.0513202284524e-085.256601142262e-09
2320.9999999905719011.8856197887927e-089.42809894396351e-09
2330.9999999825309383.49381232327734e-081.74690616163867e-08
2340.9999999660922886.78154240386976e-083.39077120193488e-08
2350.9999999424982491.15003502245451e-075.75017511227256e-08
2360.9999999081719521.83656096139943e-079.18280480699717e-08
2370.9999998723763022.55247396449348e-071.27623698224674e-07
2380.9999998777234412.4455311713138e-071.2227655856569e-07
2390.9999998219825123.5603497502805e-071.78017487514025e-07
2400.9999996908139016.18372197215329e-073.09186098607665e-07
2410.9999995512741548.9745169303193e-074.48725846515965e-07
2420.9999991646594811.67068103829252e-068.35340519146259e-07
2430.9999983711322363.25773552752677e-061.62886776376339e-06
2440.999997913068554.17386289944921e-062.0869314497246e-06
2450.9999960540571757.89188565053773e-063.94594282526886e-06
2460.9999928992384261.42015231480976e-057.10076157404878e-06
2470.9999920277680091.59444639826297e-057.97223199131483e-06
2480.9999888252332162.23495335682453e-051.11747667841227e-05
2490.9999831709539333.36580921331665e-051.68290460665833e-05
2500.9999770631497464.58737005087589e-052.29368502543795e-05
2510.9999648623261867.02753476286849e-053.51376738143425e-05
2520.9999473966238210.0001052067523584095.26033761792045e-05
2530.9999331295118730.0001337409762536166.68704881268082e-05
2540.999875599916590.0002488001668189450.000124400083409473
2550.999806460617880.000387078764239450.000193539382119725
2560.9997615890266340.0004768219467309760.000238410973365488
2570.9995734350377170.0008531299245657990.000426564962282899
2580.9992784233062570.001443153387486020.00072157669374301
2590.9987327620377930.002534475924413180.00126723796220659
2600.9979995466703020.004000906659395440.00200045332969772
2610.99810829647280.003783407054400570.00189170352720028
2620.9971525879730970.005694824053806860.00284741202690343
2630.9962196268476110.007560746304777340.00378037315238867
2640.9937730091586230.01245398168275390.00622699084137697
2650.992568521104250.01486295779150030.00743147889575016
2660.9877300516178390.02453989676432160.0122699483821608
2670.9858170889988050.02836582200238910.0141829110011945
2680.9811607151237090.03767856975258130.0188392848762906
2690.9781225791287950.04375484174241020.0218774208712051
2700.9649072260657730.0701855478684540.035092773934227
2710.967076781522420.06584643695516010.03292321847758
2720.9666402036091920.06671959278161540.0333597963908077
2730.9974173870275110.005165225944978350.00258261297248917
2740.9988376558216680.002324688356663630.00116234417833181
2750.9971106011981220.005778797603755870.00288939880187794
2760.9949559848310570.01008803033788650.00504401516894324
2770.9893172300924430.02136553981511440.0106827699075572
2780.9762737939691490.04745241206170210.0237262060308511
2790.948487426526030.103025146947940.0515125734739702
2800.9458626134532260.1082747730935470.0541373865467736
2810.882636341298180.2347273174036410.11736365870182
2820.7620442634938710.4759114730122580.237955736506129






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1240.449275362318841NOK
5% type I error level1920.695652173913043NOK
10% type I error level2100.760869565217391NOK

\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 & 124 & 0.449275362318841 & NOK \tabularnewline
5% type I error level & 192 & 0.695652173913043 & NOK \tabularnewline
10% type I error level & 210 & 0.760869565217391 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158356&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]124[/C][C]0.449275362318841[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]192[/C][C]0.695652173913043[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]210[/C][C]0.760869565217391[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158356&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158356&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 level1240.449275362318841NOK
5% type I error level1920.695652173913043NOK
10% type I error level2100.760869565217391NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; 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')
}