FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSat, 10 Dec 2011 07:52:41 -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/10/t1323521818qzl038x5altp41h.htm/, Retrieved Sun, 05 May 2024 03:04:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153505, Retrieved Sun, 05 May 2024 03:04:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Multiple Regression] [2011-12-10 11:44:02] [4fa66579543b578a51dd12826fe0c6d2]
-    D    [Multiple Regression] [Multiple Regression] [2011-12-10 12:52:41] [03e2d80b807f43987d5267414f2021cf] [Current]
- RM        [Multiple Regression] [Multiple Regression] [2011-12-10 12:57:23] [4fa66579543b578a51dd12826fe0c6d2]
- RM D      [Central Tendency] [Mean] [2011-12-10 16:23:18] [4fa66579543b578a51dd12826fe0c6d2]
- RM D      [Skewness and Kurtosis Test] [Skewness & Kurtosis] [2011-12-10 16:28:55] [4fa66579543b578a51dd12826fe0c6d2]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94	145	210907.00	112285	56	1418
103	101	120982.00	84786	56	869
93	98	176508.00	83123	54	1530
103	132	179321.00	101193	89	2172
51	60	123185.00	38361	40	901
70	38	52746.00	68504	25	463
91	144	385534.00	119182	92	3201
22	5	33170.00	22807	18	371
38	28	101645.00	17140	63	1192
93	84	149061.00	116174	44	1583
60	79	165446.00	57635	33	1439
123	127	237213.00	66198	84	1764
148	78	173326.00	71701	88	1495
90	60	133131.00	57793	55	1373
124	131	258873.00	80444	60	2187
70	84	180083.00	53855	66	1491
168	133	324799.00	97668	154	4041
115	150	230964.00	133824	53	1706
71	91	236785.00	101481	119	2152
66	132	135473.00	99645	41	1036
134	136	202925.00	114789	61	1882
117	124	215147.00	99052	58	1929
108	118	344297.00	67654	75	2242
84	70	153935.00	65553	33	1220
156	107	132943.00	97500	40	1289
120	119	174724.00	69112	92	2515
114	89	174415.00	82753	100	2147
94	112	225548.00	85323	112	2352
120	108	223632.00	72654	73	1638
81	52	124817.00	30727	40	1222
110	112	221698.00	77873	45	1812
133	116	210767.00	117478	60	1677
122	123	170266.00	74007	62	1579
158	125	260561.00	90183	75	1731
109	27	84853.00	61542	31	807
124	162	294424.00	101494	77	2452
39	32	101011.00	27570	34	829
92	64	215641.00	55813	46	1940
126	92	325107.00	79215	99	2662
0	0	7176.00	1423	17	186
70	83	167542.00	55461	66	1499
37	41	106408.00	31081	30	865
38	47	96560.00	22996	76	1793
120	120	265769.00	83122	146	2527
93	105	269651.00	70106	67	2747
95	79	149112.00	60578	56	1324
77	65	175824.00	39992	107	2702
90	70	152871.00	79892	58	1383
80	55	111665.00	49810	34	1179
31	39	116408.00	71570	61	2099
110	67	362301.00	100708	119	4308
66	21	78800.00	33032	42	918
138	127	183167.00	82875	66	1831
133	152	277965.00	139077	89	3373
113	113	150629.00	71595	44	1713
100	99	168809.00	72260	66	1438
7	7	24188.00	5950	24	496
140	141	329267.00	115762	259	2253
61	21	65029.00	32551	17	744
41	35	101097.00	31701	64	1161
96	109	218946.00	80670	41	2352
164	133	244052.00	143558	68	2144
78	123	341570.00	117105	168	4691
49	26	103597.00	23789	43	1112
102	230	233328.00	120733	132	2694
124	166	256462.00	105195	105	1973
99	68	206161.00	73107	71	1769
129	147	311473.00	132068	112	3148
62	179	235800.00	149193	94	2474
73	61	177939.00	46821	82	2084
114	101	207176.00	87011	70	1954
99	108	196553.00	95260	57	1226
70	90	174184.00	55183	53	1389
104	114	143246.00	106671	103	1496
116	103	187559.00	73511	121	2269
91	142	187681.00	92945	62	1833
74	79	119016.00	78664	52	1268
138	88	182192.00	70054	52	1943
67	25	73566.00	22618	32	893
151	83	194979.00	74011	62	1762
72	113	167488.00	83737	45	1403
120	118	143756.00	69094	46	1425
115	110	275541.00	93133	63	1857
105	129	243199.00	95536	75	1840
104	51	182999.00	225920	88	1502
108	93	135649.00	62133	46	1441
98	76	152299.00	61370	53	1420
69	49	120221.00	43836	37	1416
111	118	346485.00	106117	90	2970
99	38	145790.00	38692	63	1317
71	141	193339.00	84651	78	1644
27	58	80953.00	56622	25	870
69	27	122774.00	15986	45	1654
107	91	130585.00	95364	46	1054
73	48	112611.00	26706	41	937
107	63	286468.00	89691	144	3004
93	56	241066.00	67267	82	2008
129	144	148446.00	126846	91	2547
69	73	204713.00	41140	71	1885
118	168	182079.00	102860	63	1626
73	64	140344.00	51715	53	1468
119	97	220516.00	55801	62	2445
104	117	243060.00	111813	63	1964
107	100	162765.00	120293	32	1381
99	149	182613.00	138599	39	1369
90	187	232138.00	161647	62	1659
197	127	265318.00	115929	117	2888
36	37	85574.00	24266	34	1290
85	245	310839.00	162901	92	2845
139	87	225060.00	109825	93	1982
106	177	232317.00	129838	54	1904
50	49	144966.00	37510	144	1391
64	49	43287.00	43750	14	602
31	73	155754.00	40652	61	1743
63	177	164709.00	87771	109	1559
92	94	201940.00	85872	38	2014
106	117	235454.00	89275	73	2143
63	60	220801.00	44418	75	2146
69	55	99466.00	192565	50	874
41	39	92661.00	35232	61	1590
56	64	133328.00	40909	55	1590
25	26	61361.00	13294	77	1210
65	64	125930.00	32387	75	2072
93	58	100750.00	140867	72	1281
114	95	224549.00	120662	50	1401
38	25	82316.00	21233	32	834
44	26	102010.00	44332	53	1105
87	76	101523.00	61056	42	1272
110	129	243511.00	101338	71	1944
0	11	22938.00	1168	10	391
27	2	41566.00	13497	35	761
83	101	152474.00	65567	65	1605
30	28	61857.00	25162	25	530
80	36	99923.00	32334	66	1988
98	89	132487.00	40735	41	1386
82	193	317394.00	91413	86	2395
0	4	21054.00	855	16	387
60	84	209641.00	97068	42	1742
28	23	22648.00	44339	19	620
9	39	31414.00	14116	19	449
33	14	46698.00	10288	45	800
59	78	131698.00	65622	65	1684
49	14	91735.00	16563	35	1050
115	101	244749.00	76643	95	2699
140	82	184510.00	110681	49	1606
49	24	79863.00	29011	37	1502
120	36	128423.00	92696	64	1204
66	75	97839.00	94785	38	1138
21	16	38214.00	8773	34	568
124	55	151101.00	83209	32	1459
152	131	272458.00	93815	65	2158
139	131	172494.00	86687	52	1111
38	39	108043.00	34553	62	1421
144	144	328107.00	105547	65	2833
120	139	250579.00	103487	83	1955
160	211	351067.00	213688	95	2922
114	78	158015.00	71220	29	1002
39	50	98866.00	23517	18	1060
78	39	85439.00	56926	33	956
119	90	229242.00	91721	247	2186
141	166	351619.00	115168	139	3604
101	12	84207.00	111194	29	1035
56	57	120445.00	51009	118	1417
133	133	324598.00	135777	110	3261
83	69	131069.00	51513	67	1587
116	119	204271.00	74163	42	1424
90	119	165543.00	51633	65	1701
36	65	141722.00	75345	94	1249
50	61	116048.00	33416	64	946
61	49	250047.00	83305	81	1926
97	101	299775.00	98952	95	3352
98	196	195838.00	102372	67	1641
78	15	173260.00	37238	63	2035
117	136	254488.00	103772	83	2312
148	89	104389.00	123969	45	1369
41	40	136084.00	27142	30	1577
105	123	199476.00	135400	70	2201
55	21	92499.00	21399	32	961
132	163	224330.00	130115	83	1900
44	29	135781.00	24874	31	1254
21	35	74408.00	34988	67	1335
50	13	81240.00	45549	66	1597
0	5	14688.00	6023	10	207
73	96	181633.00	64466	70	1645
86	151	271856.00	54990	103	2429
0	6	7199.00	1644	5	151
13	13	46660.00	6179	20	474
4	3	17547.00	3926	5	141
57	56	133368.00	32755	36	1639
48	23	95227.00	34777	34	872
46	57	152601.00	73224	48	1318
48	14	98146.00	27114	40	1018
32	43	79619.00	20760	43	1383
68	20	59194.00	37636	31	1314
87	72	139942.00	65461	42	1335
43	87	118612.00	30080	46	1403
67	21	72880.00	24094	33	910
46	56	65475.00	69008	18	616
46	59	99643.00	54968	55	1407
56	82	71965.00	46090	35	771
48	43	77272.00	27507	59	766
44	25	49289.00	10672	19	473
60	38	135131.00	34029	66	1376
65	25	108446.00	46300	60	1232
55	38	89746.00	24760	36	1521
38	12	44296.00	18779	25	572
52	29	77648.00	21280	47	1059
60	47	181528.00	40662	54	1544
54	45	134019.00	28987	53	1230
86	40	124064.00	22827	40	1206
24	30	92630.00	18513	40	1205
52	41	121848.00	30594	39	1255
49	25	52915.00	24006	14	613
61	23	81872.00	27913	45	721
61	14	58981.00	42744	36	1109
81	16	53515.00	12934	28	740
43	26	60812.00	22574	44	1126
40	21	56375.00	41385	30	728
40	27	65490.00	18653	22	689
56	9	80949.00	18472	17	592
68	33	76302.00	30976	31	995
79	42	104011.00	63339	55	1613
47	68	98104.00	25568	54	2048
57	32	67989.00	33747	21	705
41	6	30989.00	4154	14	301
29	67	135458.00	19474	81	1803
3	33	73504.00	35130	35	799
60	77	63123.00	39067	43	861
30	46	61254.00	13310	46	1186
79	30	74914.00	65892	30	1451
47	0	31774.00	4143	23	628
40	36	81437.00	28579	38	1161
48	46	87186.00	51776	54	1463
36	18	50090.00	21152	20	742
42	48	65745.00	38084	53	979
49	29	56653.00	27717	45	675
57	28	158399.00	32928	39	1241
12	34	46455.00	11342	20	676
40	33	73624.00	19499	24	1049
43	34	38395.00	16380	31	620
33	33	91899.00	36874	35	1081
77	80	139526.00	48259	151	1688
43	32	52164.00	16734	52	736
45	30	51567.00	28207	30	617
47	41	70551.00	30143	31	812
43	41	84856.00	41369	29	1051
45	51	102538.00	45833	57	1656
50	18	86678.00	29156	40	705
35	34	85709.00	35944	44	945
7	31	34662.00	36278	25	554
71	39	150580.00	45588	77	1597
67	54	99611.00	45097	35	982
0	14	19349.00	3895	11	222
62	24	99373.00	28394	63	1212
54	24	86230.00	18632	44	1143
4	8	30837.00	2325	19	435
25	26	31706.00	25139	13	532
40	19	89806.00	27975	42	882
38	11	62088.00	14483	38	608
19	14	40151.00	13127	29	459
17	1	27634.00	5839	20	578
67	39	76990.00	24069	27	826
14	5	37460.00	3738	20	509
30	37	54157.00	18625	19	717
54	32	49862.00	36341	37	637
35	38	84337.00	24548	26	857
59	47	64175.00	21792	42	830
24	47	59382.00	26263	49	652
58	37	119308.00	23686	30	707
42	51	76702.00	49303	49	954
46	45	103425.00	25659	67	1461
61	21	70344.00	28904	28	672
3	1	43410.00	2781	19	778
52	42	104838.00	29236	49	1141
25	26	62215.00	19546	27	680
40	21	69304.00	22818	30	1090
32	4	53117.00	32689	22	616
4	10	19764.00	5752	12	285
49	43	86680.00	22197	31	1145
63	34	84105.00	20055	20	733
67	31	77945.00	25272	20	888
32	19	89113.00	82206	39	849
23	34	91005.00	32073	29	1182
7	6	40248.00	5444	16	528
54	11	64187.00	20154	27	642
37	24	50857.00	36944	21	947
35	16	56613.00	8019	19	819
51	72	62792.00	30884	35	757
39	21	72535.00	19540	14	894

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'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153505&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153505&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153505&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'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
feedback_messages_p120[t] = + 19.430884709088 + 0.0829102693496436totblogs[t] + 0.000205104456433824time_in_rfc[t] + 0.000350978647979137totsize[t] -0.00605626492506337logins[t] -0.00101133323103322pageviews[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
feedback_messages_p120[t] =  +  19.430884709088 +  0.0829102693496436totblogs[t] +  0.000205104456433824time_in_rfc[t] +  0.000350978647979137totsize[t] -0.00605626492506337logins[t] -0.00101133323103322pageviews[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153505&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]feedback_messages_p120[t] =  +  19.430884709088 +  0.0829102693496436totblogs[t] +  0.000205104456433824time_in_rfc[t] +  0.000350978647979137totsize[t] -0.00605626492506337logins[t] -0.00101133323103322pageviews[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153505&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153505&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] = + 19.430884709088 + 0.0829102693496436totblogs[t] + 0.000205104456433824time_in_rfc[t] + 0.000350978647979137totsize[t] -0.00605626492506337logins[t] -0.00101133323103322pageviews[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)19.4308847090882.9477826.591700
totblogs0.08291026934964360.0542611.5280.1276290.063815
time_in_rfc0.0002051044564338244.5e-054.52169e-065e-06
totsize0.0003509786479791375.7e-056.154800
logins-0.006056264925063370.06103-0.09920.9210220.460511
pageviews-0.001011333231033220.004373-0.23130.8172820.408641

\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) & 19.430884709088 & 2.947782 & 6.5917 & 0 & 0 \tabularnewline
totblogs & 0.0829102693496436 & 0.054261 & 1.528 & 0.127629 & 0.063815 \tabularnewline
time_in_rfc & 0.000205104456433824 & 4.5e-05 & 4.5216 & 9e-06 & 5e-06 \tabularnewline
totsize & 0.000350978647979137 & 5.7e-05 & 6.1548 & 0 & 0 \tabularnewline
logins & -0.00605626492506337 & 0.06103 & -0.0992 & 0.921022 & 0.460511 \tabularnewline
pageviews & -0.00101133323103322 & 0.004373 & -0.2313 & 0.817282 & 0.408641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153505&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]19.430884709088[/C][C]2.947782[/C][C]6.5917[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]totblogs[/C][C]0.0829102693496436[/C][C]0.054261[/C][C]1.528[/C][C]0.127629[/C][C]0.063815[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000205104456433824[/C][C]4.5e-05[/C][C]4.5216[/C][C]9e-06[/C][C]5e-06[/C][/ROW]
[ROW][C]totsize[/C][C]0.000350978647979137[/C][C]5.7e-05[/C][C]6.1548[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]logins[/C][C]-0.00605626492506337[/C][C]0.06103[/C][C]-0.0992[/C][C]0.921022[/C][C]0.460511[/C][/ROW]
[ROW][C]pageviews[/C][C]-0.00101133323103322[/C][C]0.004373[/C][C]-0.2313[/C][C]0.817282[/C][C]0.408641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153505&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153505&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)19.4308847090882.9477826.591700
totblogs0.08291026934964360.0542611.5280.1276290.063815
time_in_rfc0.0002051044564338244.5e-054.52169e-065e-06
totsize0.0003509786479791375.7e-056.154800
logins-0.006056264925063370.06103-0.09920.9210220.460511
pageviews-0.001011333231033220.004373-0.23130.8172820.408641






Multiple Linear Regression - Regression Statistics
Multiple R0.817598140107515
R-squared0.668466718707268
Adjusted R-squared0.662609240239199
F-TEST (value)114.121925048678
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation22.6327951347764
Sum Squared Residuals144964.886618411

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.817598140107515 \tabularnewline
R-squared & 0.668466718707268 \tabularnewline
Adjusted R-squared & 0.662609240239199 \tabularnewline
F-TEST (value) & 114.121925048678 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 22.6327951347764 \tabularnewline
Sum Squared Residuals & 144964.886618411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153505&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.817598140107515[/C][/ROW]
[ROW][C]R-squared[/C][C]0.668466718707268[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.662609240239199[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]114.121925048678[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]22.6327951347764[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]144964.886618411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153505&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153505&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 R0.817598140107515
R-squared0.668466718707268
Adjusted R-squared0.662609240239199
F-TEST (value)114.121925048678
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation22.6327951347764
Sum Squared Residuals144964.886618411






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
194112.347255488804-18.3472554888036
210381.158845495666621.8411545043334
39391.05868850811011.94131149188994
410399.93553546422873.06446453577127
55161.9817234128314-10.9817234128314
67056.823701995500713.1762980044993
791148.480588180001-57.480588180001
82234.1693035028418-12.1693035028418
93847.0289348497859-9.02893484978586
109395.8756000038402-2.87560000384019
116078.487997001154-18.487997001154
1212399.555298806204423.4447011937956
1314884.56844627916163.431553720839
149070.273716165129219.7262838348708
15124109.04710063054514.9528993694551
167080.3255169168221-10.3255169168221
17168126.33559308360241.6644069163984
18115124.162220841305-9.16222084130529
1971108.261957472893-37.2619574728934
206691.8383755783035-25.8383755783035
21134110.34322988411723.656770115883
22117106.30237846812410.6976215318755
23108120.854626006167-12.8546260061666
248478.38137809129255.61862190870751
2515688.244044327343267.7559556726568
2612086.290034677618833.7099653223812
2711488.850769566794625.1492304332054
2894101.867328566511-7.86732856651091
2912097.654445118372622.3455548816274
308158.649162765099922.3508372349001
3111099.414775176533310.5852248234667
32133111.45061480618121.549385193819
3312288.553656422092233.4463435779078
34158112.68436036905145.3156396309487
3510959.669228247118949.3307717528811
36124125.926128241074-1.92612824107369
373951.4339926459197-12.4339926459197
389286.31466866221375.68533133778634
39126118.2505583181627.7494416818379
40021.1110924198331-21.1110924198331
417078.2259727021421-8.2259727021421
423754.5072369178776-17.5072369178776
433848.9300620531521-10.9300620531521
44120109.62471673644810.3752832635521
4593104.864891732236-11.8648917322356
469576.147760199058818.8522398009412
477771.53803351758365.46196648241639
489082.87957584323487.12042415676524
498062.977910220001817.0220897799982
503169.1675060017719-38.1675060017719
51110129.564261021254-19.5642610212543
526647.744991199521518.2550088004785
5313894.364747708301943.6352522916981
54133133.90792874125-0.907928741250495
5511382.823851134371830.1761488656282
5610085.770185992532614.2298140074674
57726.4136745014387-19.4136745014387
58140135.4382456062354.56175439376469
596145.079055605619715.9209443943803
604152.6328046515688-11.6328046515688
619699.0613892977184-3.06138929771845
62164128.31977161852835.6802283814724
6378135.026114900605-57.0261149006048
644949.7991671974426-0.799167197442603
65102125.207605682251-23.2076056822506
66124120.0854191192653.91458088073465
679990.79327559015098.20672440984913
68129137.994264060707-8.9942640607071
6962131.927683861189-69.9276838611892
707374.8134321124972-1.81343211249722
7111498.436462240655315.5635377593447
7299100.548214388804-1.54821438880418
737080.2610544225243-10.2610544225243
7410493.565541938942210.4344580610578
7511689.213097430820226.7869025691798
7691100.090800643277-9.09080064327698
777476.4035960262152-2.40359602621524
7813886.402891499977551.5971085000225
796743.433869891917223.5661301080828
8015190.122322013268460.8776779867316
817290.8507469458476-18.8507469458476
8212081.23007339414238.769926605858
83115115.493805289714-0.493805289714407
84105111.223531254296-6.22353125429556
85104138.434341193882-34.4343411938824
8610875.035191131812632.9648088681874
879876.7517531874621.24824681254
886961.88072111959437.11927888040566
89111133.975991727997-22.9759917279972
909964.350248939920734.6497510600793
917198.3515962239552-27.3515962239552
922759.6853478648039-32.6853478648039
936950.516424096572418.4835759034276
9410785.885479037136921.114520962863
957354.684905254865318.3150947451347
96107110.979573844464-3.97957384446414
979394.599480549187-1.59948054918699
98129103.21015136915125.7898486308487
996979.573786589234-10.573786589234
100118104.78071549003713.2192845099626
1017369.86756333726973.13243666273028
10211989.438756511618229.5612434883818
103104115.860247814265-11.8602478142646
104107101.7355613271995.26443867280085
10599116.263835050833-17.2638350508333
10690137.228998639352-47.2289986393519
107197121.43768340271975.5623165972809
1083647.0564884262696-11.0564884262696
10985157.238718152238-72.2387181522382
110139108.78342201987330.2165779801266
111106125.073003307786-19.0730033077861
1125064.1130029507273-14.1130029507274
1136447.033550047925816.9664499520742
1143169.5649718945339-38.5649718945339
1156396.4574978264978-33.4574978264978
1169296.5155192250121-4.51551922501207
117106106.14827525287-0.148275252869555
1186382.6579985578717-19.6579985578717
11969110.791354244891-41.7913542448915
1204152.0577969791679-11.0577969791679
1215664.5003800168313-8.50038001683127
1222537.1478308008691-12.1478308008691
1236559.38338929419645.61661070580364
1249392.61369457839410.386305421605932
125114113.9934554045910.00654459540917419
1263844.802097118893-6.802097118893
1274456.6303374738841-12.6303374738841
1288766.443458244479320.5565417555207
129110113.242948363951-3.24294836395067
130025.0015328118681-25.0015328118681
1312731.8776420344965-4.8776420344965
1328380.07368875980352.92631124019649
1333042.5834301173819-12.5834301173819
1348051.848606661321328.1513933386787
1359866.630673306044831.3693266939552
13682129.672519814763-47.6725198147632
137023.8925955570555-23.8925955570555
13860101.446340472428-41.4463404724277
1392840.8029732693732-12.8029732693732
140933.4927935486996-24.4927935486996
1413332.69886621048460.301133789515378
1425973.8449108782798-14.8449108782798
1434943.94627597245625.05372402754382
144115101.59905547974913.4009445202507
145140100.99905963897539.000940361025
1464946.24012561893742.75987438106259
14712079.684854601982240.3151453980178
1486677.6028456879745-11.6028456879744
1492130.8940961128864-9.89409611288635
15012482.517684652942241.4823153470578
151152116.52542751240235.4745724875979
15213994.658187163573644.3418128364264
1533855.1392582771747-17.1392582771747
154144132.45215047717711.5478495228229
155120116.1921826253863.80781737461359
156160180.399822209122-20.3998222091219
15711482.115178130502931.8848218694971
1583950.9271942373356-11.9271942373356
1597859.001424070439118.9985759295609
160119102.39680544412416.6031945558762
161141141.247456429167-0.247456429167358
16210175.501397110652725.4986028893473
1635664.6159477224259-8.61594772242585
164133140.725127960604-7.72512796060404
1658368.103736800258614.8962631997414
16611695.52922700412220.470772995878
1679079.258959278110310.7410407218897
1683678.4999081150008-42.4999081150008
1695058.674353408758-8.67435340875801
17061101.579132933131-40.5791329331308
17197120.054715357379-23.0547153573788
17298109.713562609521-11.7135626095208
1737866.841071949072511.1589280509275
174117116.4841880887320.515811911267503
17514890.0739726802957.92602731971
1764158.4084323427727-17.4084323427727
177105115.414890340804-10.4148903408043
1785546.48885785658348.51114214341662
179132122.1997249789429.8002750210583
1804456.9588575247091-12.9588575247091
1812148.1182978527389-27.1182978527389
1825051.1433180331047-1.14331803310468
183024.70204608064-24.70204608064
1847385.1826161129175-12.1826161129175
18586103.929204636069-17.9292046360694
186021.7989095618193-21.7989095618193
1871331.6470919636876-18.6470919636876
188424.4836462759463-20.4836462759463
1895761.0489358499252-4.04893584992517
1904851.9874918328109-3.98749183281087
1914679.5323378229951-33.5323378229951
1924848.9664576962491-0.966457696249048
1933244.9534614896775-12.9534614896775
1946844.922839607312823.0771603926872
1958775.474072229604811.5259277703952
1964359.8318769505556-16.8318769505556
1976743.456322711969623.5436772880304
1984660.9914145784493-14.9914145784493
1994662.2963678483274-16.2963678483275
2005656.1747676948735-0.174767694873481
2014847.3672266330890.632773366910968
2024434.76524947537429.23475052462576
2036060.4495896478597-0.449589647859677
2046558.38737229054896.61262770945114
2055547.9227474337447.07725256625598
2063835.3722537425992.62774625740101
2075243.87441263925518.12558736074492
2086072.9428261054994-12.9428261054994
2095459.2586371303986-5.25863713039864
2108654.743245889870831.2567541101292
2112445.9537791586826-21.9537791586826
2125257.0541967792215-5.05419677922152
2134940.07760219883788.92239780116223
2146146.925296781118714.0747032188813
2156146.351531663608514.6484683363915
2168135.355209828834145.6447901711659
2174340.57711904146732.42288095853275
2184046.3420769035598-6.34207690355982
2194040.818511129601-0.818511129601041
2205642.561689586069313.4383104139307
2216847.494697654686620.5053023453134
2227964.51249715172714.487502848273
2234751.7659239272687-4.76592392726873
2245747.0331651588039.96683484119699
2254127.35309461782713.646905382173
2262957.2898791313897-28.2898791313897
227348.5527769428723-45.5527769428723
2286051.34228958938648.65771041061359
2293039.001721879613-9.00172187961303
2307958.76094064552120.239059354479
2314726.627566884028520.3724331159715
2324047.7450688564902-7.74506885649025
2334857.4926458926237-9.49264589262374
2343637.7493175862786-1.74931758627858
2354248.9507636815402-6.95076368154019
2364942.22795862403556.77204137596447
2375764.3064790944066-7.30647909440663
2381234.9539746533088-22.9539746533088
2394042.9050278374999-2.90502783749989
2404335.05907890973327.94092109026678
2413352.6525842098968-19.6525842098968
2427768.99736272060178.00263727939827
2434337.59709185482975.40290814517031
2444541.58918846674843.4108115332516
2454746.87113284804530.128867151954736
2464353.5156422871781-10.5156422871781
2474558.7567386412394-13.7567386412394
2485047.97920656775132.02079343224868
2493551.2225226863954-16.2225226863954
250741.1315518861043-34.1315518861043
2517167.46799729841233.53200270158772
2526758.96168484646178.03831515353832
253025.6361215499347-25.6361215499347
2546250.160983487106211.8390165128938
2555444.22389308114169.77610691885841
256426.6799993544108-22.6799993544108
2572536.2960851164815-11.2960851164815
2584048.0980592818196-8.0980592818196
2593837.31561825005850.684381749941451
2601932.7942405864085-13.7942405864085
2611726.5253399470416-9.52533994704161
2626745.904201990963921.0957980090361
2631428.2047132668961-14.2047132668961
2643039.3031890804958-9.30318908049579
2655444.19754571079429.80245428920579
2663547.4710178701786-12.4710178701786
2675943.04500284831315.954997151687
2682443.7687861843889-19.7687861843889
2695854.38574687717293.61425312282708
2704255.4339618608886-13.4339618608886
2714651.4972087644681-5.49720876446808
2726144.895363740844316.1046362591557
273328.4915647649398-25.4915647649398
2745253.2263805797633-1.22638057976329
2752540.35612837253-15.35612837253
2764042.1111492341301-2.11114923413006
2773241.3739811240041-9.37398112400413
278425.9715959127732-21.9715959127732
2794947.21943286178941.78056713821058
2806345.676588403715617.3234115962844
2816745.838713099731321.1612869002687
2823267.0413877434668-35.0413877434668
2832350.8012755394628-27.8012755394628
284729.4632340625462-22.4632340625462
2855439.768766001123414.2312339988766
2863743.7333695520609-6.73336955206085
2873534.24017443912260.759825560877368
2885148.14141916657332.85858083342672
2893941.9184552768757-2.91845527687566

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 94 & 112.347255488804 & -18.3472554888036 \tabularnewline
2 & 103 & 81.1588454956666 & 21.8411545043334 \tabularnewline
3 & 93 & 91.0586885081101 & 1.94131149188994 \tabularnewline
4 & 103 & 99.9355354642287 & 3.06446453577127 \tabularnewline
5 & 51 & 61.9817234128314 & -10.9817234128314 \tabularnewline
6 & 70 & 56.8237019955007 & 13.1762980044993 \tabularnewline
7 & 91 & 148.480588180001 & -57.480588180001 \tabularnewline
8 & 22 & 34.1693035028418 & -12.1693035028418 \tabularnewline
9 & 38 & 47.0289348497859 & -9.02893484978586 \tabularnewline
10 & 93 & 95.8756000038402 & -2.87560000384019 \tabularnewline
11 & 60 & 78.487997001154 & -18.487997001154 \tabularnewline
12 & 123 & 99.5552988062044 & 23.4447011937956 \tabularnewline
13 & 148 & 84.568446279161 & 63.431553720839 \tabularnewline
14 & 90 & 70.2737161651292 & 19.7262838348708 \tabularnewline
15 & 124 & 109.047100630545 & 14.9528993694551 \tabularnewline
16 & 70 & 80.3255169168221 & -10.3255169168221 \tabularnewline
17 & 168 & 126.335593083602 & 41.6644069163984 \tabularnewline
18 & 115 & 124.162220841305 & -9.16222084130529 \tabularnewline
19 & 71 & 108.261957472893 & -37.2619574728934 \tabularnewline
20 & 66 & 91.8383755783035 & -25.8383755783035 \tabularnewline
21 & 134 & 110.343229884117 & 23.656770115883 \tabularnewline
22 & 117 & 106.302378468124 & 10.6976215318755 \tabularnewline
23 & 108 & 120.854626006167 & -12.8546260061666 \tabularnewline
24 & 84 & 78.3813780912925 & 5.61862190870751 \tabularnewline
25 & 156 & 88.2440443273432 & 67.7559556726568 \tabularnewline
26 & 120 & 86.2900346776188 & 33.7099653223812 \tabularnewline
27 & 114 & 88.8507695667946 & 25.1492304332054 \tabularnewline
28 & 94 & 101.867328566511 & -7.86732856651091 \tabularnewline
29 & 120 & 97.6544451183726 & 22.3455548816274 \tabularnewline
30 & 81 & 58.6491627650999 & 22.3508372349001 \tabularnewline
31 & 110 & 99.4147751765333 & 10.5852248234667 \tabularnewline
32 & 133 & 111.450614806181 & 21.549385193819 \tabularnewline
33 & 122 & 88.5536564220922 & 33.4463435779078 \tabularnewline
34 & 158 & 112.684360369051 & 45.3156396309487 \tabularnewline
35 & 109 & 59.6692282471189 & 49.3307717528811 \tabularnewline
36 & 124 & 125.926128241074 & -1.92612824107369 \tabularnewline
37 & 39 & 51.4339926459197 & -12.4339926459197 \tabularnewline
38 & 92 & 86.3146686622137 & 5.68533133778634 \tabularnewline
39 & 126 & 118.250558318162 & 7.7494416818379 \tabularnewline
40 & 0 & 21.1110924198331 & -21.1110924198331 \tabularnewline
41 & 70 & 78.2259727021421 & -8.2259727021421 \tabularnewline
42 & 37 & 54.5072369178776 & -17.5072369178776 \tabularnewline
43 & 38 & 48.9300620531521 & -10.9300620531521 \tabularnewline
44 & 120 & 109.624716736448 & 10.3752832635521 \tabularnewline
45 & 93 & 104.864891732236 & -11.8648917322356 \tabularnewline
46 & 95 & 76.1477601990588 & 18.8522398009412 \tabularnewline
47 & 77 & 71.5380335175836 & 5.46196648241639 \tabularnewline
48 & 90 & 82.8795758432348 & 7.12042415676524 \tabularnewline
49 & 80 & 62.9779102200018 & 17.0220897799982 \tabularnewline
50 & 31 & 69.1675060017719 & -38.1675060017719 \tabularnewline
51 & 110 & 129.564261021254 & -19.5642610212543 \tabularnewline
52 & 66 & 47.7449911995215 & 18.2550088004785 \tabularnewline
53 & 138 & 94.3647477083019 & 43.6352522916981 \tabularnewline
54 & 133 & 133.90792874125 & -0.907928741250495 \tabularnewline
55 & 113 & 82.8238511343718 & 30.1761488656282 \tabularnewline
56 & 100 & 85.7701859925326 & 14.2298140074674 \tabularnewline
57 & 7 & 26.4136745014387 & -19.4136745014387 \tabularnewline
58 & 140 & 135.438245606235 & 4.56175439376469 \tabularnewline
59 & 61 & 45.0790556056197 & 15.9209443943803 \tabularnewline
60 & 41 & 52.6328046515688 & -11.6328046515688 \tabularnewline
61 & 96 & 99.0613892977184 & -3.06138929771845 \tabularnewline
62 & 164 & 128.319771618528 & 35.6802283814724 \tabularnewline
63 & 78 & 135.026114900605 & -57.0261149006048 \tabularnewline
64 & 49 & 49.7991671974426 & -0.799167197442603 \tabularnewline
65 & 102 & 125.207605682251 & -23.2076056822506 \tabularnewline
66 & 124 & 120.085419119265 & 3.91458088073465 \tabularnewline
67 & 99 & 90.7932755901509 & 8.20672440984913 \tabularnewline
68 & 129 & 137.994264060707 & -8.9942640607071 \tabularnewline
69 & 62 & 131.927683861189 & -69.9276838611892 \tabularnewline
70 & 73 & 74.8134321124972 & -1.81343211249722 \tabularnewline
71 & 114 & 98.4364622406553 & 15.5635377593447 \tabularnewline
72 & 99 & 100.548214388804 & -1.54821438880418 \tabularnewline
73 & 70 & 80.2610544225243 & -10.2610544225243 \tabularnewline
74 & 104 & 93.5655419389422 & 10.4344580610578 \tabularnewline
75 & 116 & 89.2130974308202 & 26.7869025691798 \tabularnewline
76 & 91 & 100.090800643277 & -9.09080064327698 \tabularnewline
77 & 74 & 76.4035960262152 & -2.40359602621524 \tabularnewline
78 & 138 & 86.4028914999775 & 51.5971085000225 \tabularnewline
79 & 67 & 43.4338698919172 & 23.5661301080828 \tabularnewline
80 & 151 & 90.1223220132684 & 60.8776779867316 \tabularnewline
81 & 72 & 90.8507469458476 & -18.8507469458476 \tabularnewline
82 & 120 & 81.230073394142 & 38.769926605858 \tabularnewline
83 & 115 & 115.493805289714 & -0.493805289714407 \tabularnewline
84 & 105 & 111.223531254296 & -6.22353125429556 \tabularnewline
85 & 104 & 138.434341193882 & -34.4343411938824 \tabularnewline
86 & 108 & 75.0351911318126 & 32.9648088681874 \tabularnewline
87 & 98 & 76.75175318746 & 21.24824681254 \tabularnewline
88 & 69 & 61.8807211195943 & 7.11927888040566 \tabularnewline
89 & 111 & 133.975991727997 & -22.9759917279972 \tabularnewline
90 & 99 & 64.3502489399207 & 34.6497510600793 \tabularnewline
91 & 71 & 98.3515962239552 & -27.3515962239552 \tabularnewline
92 & 27 & 59.6853478648039 & -32.6853478648039 \tabularnewline
93 & 69 & 50.5164240965724 & 18.4835759034276 \tabularnewline
94 & 107 & 85.8854790371369 & 21.114520962863 \tabularnewline
95 & 73 & 54.6849052548653 & 18.3150947451347 \tabularnewline
96 & 107 & 110.979573844464 & -3.97957384446414 \tabularnewline
97 & 93 & 94.599480549187 & -1.59948054918699 \tabularnewline
98 & 129 & 103.210151369151 & 25.7898486308487 \tabularnewline
99 & 69 & 79.573786589234 & -10.573786589234 \tabularnewline
100 & 118 & 104.780715490037 & 13.2192845099626 \tabularnewline
101 & 73 & 69.8675633372697 & 3.13243666273028 \tabularnewline
102 & 119 & 89.4387565116182 & 29.5612434883818 \tabularnewline
103 & 104 & 115.860247814265 & -11.8602478142646 \tabularnewline
104 & 107 & 101.735561327199 & 5.26443867280085 \tabularnewline
105 & 99 & 116.263835050833 & -17.2638350508333 \tabularnewline
106 & 90 & 137.228998639352 & -47.2289986393519 \tabularnewline
107 & 197 & 121.437683402719 & 75.5623165972809 \tabularnewline
108 & 36 & 47.0564884262696 & -11.0564884262696 \tabularnewline
109 & 85 & 157.238718152238 & -72.2387181522382 \tabularnewline
110 & 139 & 108.783422019873 & 30.2165779801266 \tabularnewline
111 & 106 & 125.073003307786 & -19.0730033077861 \tabularnewline
112 & 50 & 64.1130029507273 & -14.1130029507274 \tabularnewline
113 & 64 & 47.0335500479258 & 16.9664499520742 \tabularnewline
114 & 31 & 69.5649718945339 & -38.5649718945339 \tabularnewline
115 & 63 & 96.4574978264978 & -33.4574978264978 \tabularnewline
116 & 92 & 96.5155192250121 & -4.51551922501207 \tabularnewline
117 & 106 & 106.14827525287 & -0.148275252869555 \tabularnewline
118 & 63 & 82.6579985578717 & -19.6579985578717 \tabularnewline
119 & 69 & 110.791354244891 & -41.7913542448915 \tabularnewline
120 & 41 & 52.0577969791679 & -11.0577969791679 \tabularnewline
121 & 56 & 64.5003800168313 & -8.50038001683127 \tabularnewline
122 & 25 & 37.1478308008691 & -12.1478308008691 \tabularnewline
123 & 65 & 59.3833892941964 & 5.61661070580364 \tabularnewline
124 & 93 & 92.6136945783941 & 0.386305421605932 \tabularnewline
125 & 114 & 113.993455404591 & 0.00654459540917419 \tabularnewline
126 & 38 & 44.802097118893 & -6.802097118893 \tabularnewline
127 & 44 & 56.6303374738841 & -12.6303374738841 \tabularnewline
128 & 87 & 66.4434582444793 & 20.5565417555207 \tabularnewline
129 & 110 & 113.242948363951 & -3.24294836395067 \tabularnewline
130 & 0 & 25.0015328118681 & -25.0015328118681 \tabularnewline
131 & 27 & 31.8776420344965 & -4.8776420344965 \tabularnewline
132 & 83 & 80.0736887598035 & 2.92631124019649 \tabularnewline
133 & 30 & 42.5834301173819 & -12.5834301173819 \tabularnewline
134 & 80 & 51.8486066613213 & 28.1513933386787 \tabularnewline
135 & 98 & 66.6306733060448 & 31.3693266939552 \tabularnewline
136 & 82 & 129.672519814763 & -47.6725198147632 \tabularnewline
137 & 0 & 23.8925955570555 & -23.8925955570555 \tabularnewline
138 & 60 & 101.446340472428 & -41.4463404724277 \tabularnewline
139 & 28 & 40.8029732693732 & -12.8029732693732 \tabularnewline
140 & 9 & 33.4927935486996 & -24.4927935486996 \tabularnewline
141 & 33 & 32.6988662104846 & 0.301133789515378 \tabularnewline
142 & 59 & 73.8449108782798 & -14.8449108782798 \tabularnewline
143 & 49 & 43.9462759724562 & 5.05372402754382 \tabularnewline
144 & 115 & 101.599055479749 & 13.4009445202507 \tabularnewline
145 & 140 & 100.999059638975 & 39.000940361025 \tabularnewline
146 & 49 & 46.2401256189374 & 2.75987438106259 \tabularnewline
147 & 120 & 79.6848546019822 & 40.3151453980178 \tabularnewline
148 & 66 & 77.6028456879745 & -11.6028456879744 \tabularnewline
149 & 21 & 30.8940961128864 & -9.89409611288635 \tabularnewline
150 & 124 & 82.5176846529422 & 41.4823153470578 \tabularnewline
151 & 152 & 116.525427512402 & 35.4745724875979 \tabularnewline
152 & 139 & 94.6581871635736 & 44.3418128364264 \tabularnewline
153 & 38 & 55.1392582771747 & -17.1392582771747 \tabularnewline
154 & 144 & 132.452150477177 & 11.5478495228229 \tabularnewline
155 & 120 & 116.192182625386 & 3.80781737461359 \tabularnewline
156 & 160 & 180.399822209122 & -20.3998222091219 \tabularnewline
157 & 114 & 82.1151781305029 & 31.8848218694971 \tabularnewline
158 & 39 & 50.9271942373356 & -11.9271942373356 \tabularnewline
159 & 78 & 59.0014240704391 & 18.9985759295609 \tabularnewline
160 & 119 & 102.396805444124 & 16.6031945558762 \tabularnewline
161 & 141 & 141.247456429167 & -0.247456429167358 \tabularnewline
162 & 101 & 75.5013971106527 & 25.4986028893473 \tabularnewline
163 & 56 & 64.6159477224259 & -8.61594772242585 \tabularnewline
164 & 133 & 140.725127960604 & -7.72512796060404 \tabularnewline
165 & 83 & 68.1037368002586 & 14.8962631997414 \tabularnewline
166 & 116 & 95.529227004122 & 20.470772995878 \tabularnewline
167 & 90 & 79.2589592781103 & 10.7410407218897 \tabularnewline
168 & 36 & 78.4999081150008 & -42.4999081150008 \tabularnewline
169 & 50 & 58.674353408758 & -8.67435340875801 \tabularnewline
170 & 61 & 101.579132933131 & -40.5791329331308 \tabularnewline
171 & 97 & 120.054715357379 & -23.0547153573788 \tabularnewline
172 & 98 & 109.713562609521 & -11.7135626095208 \tabularnewline
173 & 78 & 66.8410719490725 & 11.1589280509275 \tabularnewline
174 & 117 & 116.484188088732 & 0.515811911267503 \tabularnewline
175 & 148 & 90.07397268029 & 57.92602731971 \tabularnewline
176 & 41 & 58.4084323427727 & -17.4084323427727 \tabularnewline
177 & 105 & 115.414890340804 & -10.4148903408043 \tabularnewline
178 & 55 & 46.4888578565834 & 8.51114214341662 \tabularnewline
179 & 132 & 122.199724978942 & 9.8002750210583 \tabularnewline
180 & 44 & 56.9588575247091 & -12.9588575247091 \tabularnewline
181 & 21 & 48.1182978527389 & -27.1182978527389 \tabularnewline
182 & 50 & 51.1433180331047 & -1.14331803310468 \tabularnewline
183 & 0 & 24.70204608064 & -24.70204608064 \tabularnewline
184 & 73 & 85.1826161129175 & -12.1826161129175 \tabularnewline
185 & 86 & 103.929204636069 & -17.9292046360694 \tabularnewline
186 & 0 & 21.7989095618193 & -21.7989095618193 \tabularnewline
187 & 13 & 31.6470919636876 & -18.6470919636876 \tabularnewline
188 & 4 & 24.4836462759463 & -20.4836462759463 \tabularnewline
189 & 57 & 61.0489358499252 & -4.04893584992517 \tabularnewline
190 & 48 & 51.9874918328109 & -3.98749183281087 \tabularnewline
191 & 46 & 79.5323378229951 & -33.5323378229951 \tabularnewline
192 & 48 & 48.9664576962491 & -0.966457696249048 \tabularnewline
193 & 32 & 44.9534614896775 & -12.9534614896775 \tabularnewline
194 & 68 & 44.9228396073128 & 23.0771603926872 \tabularnewline
195 & 87 & 75.4740722296048 & 11.5259277703952 \tabularnewline
196 & 43 & 59.8318769505556 & -16.8318769505556 \tabularnewline
197 & 67 & 43.4563227119696 & 23.5436772880304 \tabularnewline
198 & 46 & 60.9914145784493 & -14.9914145784493 \tabularnewline
199 & 46 & 62.2963678483274 & -16.2963678483275 \tabularnewline
200 & 56 & 56.1747676948735 & -0.174767694873481 \tabularnewline
201 & 48 & 47.367226633089 & 0.632773366910968 \tabularnewline
202 & 44 & 34.7652494753742 & 9.23475052462576 \tabularnewline
203 & 60 & 60.4495896478597 & -0.449589647859677 \tabularnewline
204 & 65 & 58.3873722905489 & 6.61262770945114 \tabularnewline
205 & 55 & 47.922747433744 & 7.07725256625598 \tabularnewline
206 & 38 & 35.372253742599 & 2.62774625740101 \tabularnewline
207 & 52 & 43.8744126392551 & 8.12558736074492 \tabularnewline
208 & 60 & 72.9428261054994 & -12.9428261054994 \tabularnewline
209 & 54 & 59.2586371303986 & -5.25863713039864 \tabularnewline
210 & 86 & 54.7432458898708 & 31.2567541101292 \tabularnewline
211 & 24 & 45.9537791586826 & -21.9537791586826 \tabularnewline
212 & 52 & 57.0541967792215 & -5.05419677922152 \tabularnewline
213 & 49 & 40.0776021988378 & 8.92239780116223 \tabularnewline
214 & 61 & 46.9252967811187 & 14.0747032188813 \tabularnewline
215 & 61 & 46.3515316636085 & 14.6484683363915 \tabularnewline
216 & 81 & 35.3552098288341 & 45.6447901711659 \tabularnewline
217 & 43 & 40.5771190414673 & 2.42288095853275 \tabularnewline
218 & 40 & 46.3420769035598 & -6.34207690355982 \tabularnewline
219 & 40 & 40.818511129601 & -0.818511129601041 \tabularnewline
220 & 56 & 42.5616895860693 & 13.4383104139307 \tabularnewline
221 & 68 & 47.4946976546866 & 20.5053023453134 \tabularnewline
222 & 79 & 64.512497151727 & 14.487502848273 \tabularnewline
223 & 47 & 51.7659239272687 & -4.76592392726873 \tabularnewline
224 & 57 & 47.033165158803 & 9.96683484119699 \tabularnewline
225 & 41 & 27.353094617827 & 13.646905382173 \tabularnewline
226 & 29 & 57.2898791313897 & -28.2898791313897 \tabularnewline
227 & 3 & 48.5527769428723 & -45.5527769428723 \tabularnewline
228 & 60 & 51.3422895893864 & 8.65771041061359 \tabularnewline
229 & 30 & 39.001721879613 & -9.00172187961303 \tabularnewline
230 & 79 & 58.760940645521 & 20.239059354479 \tabularnewline
231 & 47 & 26.6275668840285 & 20.3724331159715 \tabularnewline
232 & 40 & 47.7450688564902 & -7.74506885649025 \tabularnewline
233 & 48 & 57.4926458926237 & -9.49264589262374 \tabularnewline
234 & 36 & 37.7493175862786 & -1.74931758627858 \tabularnewline
235 & 42 & 48.9507636815402 & -6.95076368154019 \tabularnewline
236 & 49 & 42.2279586240355 & 6.77204137596447 \tabularnewline
237 & 57 & 64.3064790944066 & -7.30647909440663 \tabularnewline
238 & 12 & 34.9539746533088 & -22.9539746533088 \tabularnewline
239 & 40 & 42.9050278374999 & -2.90502783749989 \tabularnewline
240 & 43 & 35.0590789097332 & 7.94092109026678 \tabularnewline
241 & 33 & 52.6525842098968 & -19.6525842098968 \tabularnewline
242 & 77 & 68.9973627206017 & 8.00263727939827 \tabularnewline
243 & 43 & 37.5970918548297 & 5.40290814517031 \tabularnewline
244 & 45 & 41.5891884667484 & 3.4108115332516 \tabularnewline
245 & 47 & 46.8711328480453 & 0.128867151954736 \tabularnewline
246 & 43 & 53.5156422871781 & -10.5156422871781 \tabularnewline
247 & 45 & 58.7567386412394 & -13.7567386412394 \tabularnewline
248 & 50 & 47.9792065677513 & 2.02079343224868 \tabularnewline
249 & 35 & 51.2225226863954 & -16.2225226863954 \tabularnewline
250 & 7 & 41.1315518861043 & -34.1315518861043 \tabularnewline
251 & 71 & 67.4679972984123 & 3.53200270158772 \tabularnewline
252 & 67 & 58.9616848464617 & 8.03831515353832 \tabularnewline
253 & 0 & 25.6361215499347 & -25.6361215499347 \tabularnewline
254 & 62 & 50.1609834871062 & 11.8390165128938 \tabularnewline
255 & 54 & 44.2238930811416 & 9.77610691885841 \tabularnewline
256 & 4 & 26.6799993544108 & -22.6799993544108 \tabularnewline
257 & 25 & 36.2960851164815 & -11.2960851164815 \tabularnewline
258 & 40 & 48.0980592818196 & -8.0980592818196 \tabularnewline
259 & 38 & 37.3156182500585 & 0.684381749941451 \tabularnewline
260 & 19 & 32.7942405864085 & -13.7942405864085 \tabularnewline
261 & 17 & 26.5253399470416 & -9.52533994704161 \tabularnewline
262 & 67 & 45.9042019909639 & 21.0957980090361 \tabularnewline
263 & 14 & 28.2047132668961 & -14.2047132668961 \tabularnewline
264 & 30 & 39.3031890804958 & -9.30318908049579 \tabularnewline
265 & 54 & 44.1975457107942 & 9.80245428920579 \tabularnewline
266 & 35 & 47.4710178701786 & -12.4710178701786 \tabularnewline
267 & 59 & 43.045002848313 & 15.954997151687 \tabularnewline
268 & 24 & 43.7687861843889 & -19.7687861843889 \tabularnewline
269 & 58 & 54.3857468771729 & 3.61425312282708 \tabularnewline
270 & 42 & 55.4339618608886 & -13.4339618608886 \tabularnewline
271 & 46 & 51.4972087644681 & -5.49720876446808 \tabularnewline
272 & 61 & 44.8953637408443 & 16.1046362591557 \tabularnewline
273 & 3 & 28.4915647649398 & -25.4915647649398 \tabularnewline
274 & 52 & 53.2263805797633 & -1.22638057976329 \tabularnewline
275 & 25 & 40.35612837253 & -15.35612837253 \tabularnewline
276 & 40 & 42.1111492341301 & -2.11114923413006 \tabularnewline
277 & 32 & 41.3739811240041 & -9.37398112400413 \tabularnewline
278 & 4 & 25.9715959127732 & -21.9715959127732 \tabularnewline
279 & 49 & 47.2194328617894 & 1.78056713821058 \tabularnewline
280 & 63 & 45.6765884037156 & 17.3234115962844 \tabularnewline
281 & 67 & 45.8387130997313 & 21.1612869002687 \tabularnewline
282 & 32 & 67.0413877434668 & -35.0413877434668 \tabularnewline
283 & 23 & 50.8012755394628 & -27.8012755394628 \tabularnewline
284 & 7 & 29.4632340625462 & -22.4632340625462 \tabularnewline
285 & 54 & 39.7687660011234 & 14.2312339988766 \tabularnewline
286 & 37 & 43.7333695520609 & -6.73336955206085 \tabularnewline
287 & 35 & 34.2401744391226 & 0.759825560877368 \tabularnewline
288 & 51 & 48.1414191665733 & 2.85858083342672 \tabularnewline
289 & 39 & 41.9184552768757 & -2.91845527687566 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153505&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]112.347255488804[/C][C]-18.3472554888036[/C][/ROW]
[ROW][C]2[/C][C]103[/C][C]81.1588454956666[/C][C]21.8411545043334[/C][/ROW]
[ROW][C]3[/C][C]93[/C][C]91.0586885081101[/C][C]1.94131149188994[/C][/ROW]
[ROW][C]4[/C][C]103[/C][C]99.9355354642287[/C][C]3.06446453577127[/C][/ROW]
[ROW][C]5[/C][C]51[/C][C]61.9817234128314[/C][C]-10.9817234128314[/C][/ROW]
[ROW][C]6[/C][C]70[/C][C]56.8237019955007[/C][C]13.1762980044993[/C][/ROW]
[ROW][C]7[/C][C]91[/C][C]148.480588180001[/C][C]-57.480588180001[/C][/ROW]
[ROW][C]8[/C][C]22[/C][C]34.1693035028418[/C][C]-12.1693035028418[/C][/ROW]
[ROW][C]9[/C][C]38[/C][C]47.0289348497859[/C][C]-9.02893484978586[/C][/ROW]
[ROW][C]10[/C][C]93[/C][C]95.8756000038402[/C][C]-2.87560000384019[/C][/ROW]
[ROW][C]11[/C][C]60[/C][C]78.487997001154[/C][C]-18.487997001154[/C][/ROW]
[ROW][C]12[/C][C]123[/C][C]99.5552988062044[/C][C]23.4447011937956[/C][/ROW]
[ROW][C]13[/C][C]148[/C][C]84.568446279161[/C][C]63.431553720839[/C][/ROW]
[ROW][C]14[/C][C]90[/C][C]70.2737161651292[/C][C]19.7262838348708[/C][/ROW]
[ROW][C]15[/C][C]124[/C][C]109.047100630545[/C][C]14.9528993694551[/C][/ROW]
[ROW][C]16[/C][C]70[/C][C]80.3255169168221[/C][C]-10.3255169168221[/C][/ROW]
[ROW][C]17[/C][C]168[/C][C]126.335593083602[/C][C]41.6644069163984[/C][/ROW]
[ROW][C]18[/C][C]115[/C][C]124.162220841305[/C][C]-9.16222084130529[/C][/ROW]
[ROW][C]19[/C][C]71[/C][C]108.261957472893[/C][C]-37.2619574728934[/C][/ROW]
[ROW][C]20[/C][C]66[/C][C]91.8383755783035[/C][C]-25.8383755783035[/C][/ROW]
[ROW][C]21[/C][C]134[/C][C]110.343229884117[/C][C]23.656770115883[/C][/ROW]
[ROW][C]22[/C][C]117[/C][C]106.302378468124[/C][C]10.6976215318755[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]120.854626006167[/C][C]-12.8546260061666[/C][/ROW]
[ROW][C]24[/C][C]84[/C][C]78.3813780912925[/C][C]5.61862190870751[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]88.2440443273432[/C][C]67.7559556726568[/C][/ROW]
[ROW][C]26[/C][C]120[/C][C]86.2900346776188[/C][C]33.7099653223812[/C][/ROW]
[ROW][C]27[/C][C]114[/C][C]88.8507695667946[/C][C]25.1492304332054[/C][/ROW]
[ROW][C]28[/C][C]94[/C][C]101.867328566511[/C][C]-7.86732856651091[/C][/ROW]
[ROW][C]29[/C][C]120[/C][C]97.6544451183726[/C][C]22.3455548816274[/C][/ROW]
[ROW][C]30[/C][C]81[/C][C]58.6491627650999[/C][C]22.3508372349001[/C][/ROW]
[ROW][C]31[/C][C]110[/C][C]99.4147751765333[/C][C]10.5852248234667[/C][/ROW]
[ROW][C]32[/C][C]133[/C][C]111.450614806181[/C][C]21.549385193819[/C][/ROW]
[ROW][C]33[/C][C]122[/C][C]88.5536564220922[/C][C]33.4463435779078[/C][/ROW]
[ROW][C]34[/C][C]158[/C][C]112.684360369051[/C][C]45.3156396309487[/C][/ROW]
[ROW][C]35[/C][C]109[/C][C]59.6692282471189[/C][C]49.3307717528811[/C][/ROW]
[ROW][C]36[/C][C]124[/C][C]125.926128241074[/C][C]-1.92612824107369[/C][/ROW]
[ROW][C]37[/C][C]39[/C][C]51.4339926459197[/C][C]-12.4339926459197[/C][/ROW]
[ROW][C]38[/C][C]92[/C][C]86.3146686622137[/C][C]5.68533133778634[/C][/ROW]
[ROW][C]39[/C][C]126[/C][C]118.250558318162[/C][C]7.7494416818379[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]21.1110924198331[/C][C]-21.1110924198331[/C][/ROW]
[ROW][C]41[/C][C]70[/C][C]78.2259727021421[/C][C]-8.2259727021421[/C][/ROW]
[ROW][C]42[/C][C]37[/C][C]54.5072369178776[/C][C]-17.5072369178776[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]48.9300620531521[/C][C]-10.9300620531521[/C][/ROW]
[ROW][C]44[/C][C]120[/C][C]109.624716736448[/C][C]10.3752832635521[/C][/ROW]
[ROW][C]45[/C][C]93[/C][C]104.864891732236[/C][C]-11.8648917322356[/C][/ROW]
[ROW][C]46[/C][C]95[/C][C]76.1477601990588[/C][C]18.8522398009412[/C][/ROW]
[ROW][C]47[/C][C]77[/C][C]71.5380335175836[/C][C]5.46196648241639[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]82.8795758432348[/C][C]7.12042415676524[/C][/ROW]
[ROW][C]49[/C][C]80[/C][C]62.9779102200018[/C][C]17.0220897799982[/C][/ROW]
[ROW][C]50[/C][C]31[/C][C]69.1675060017719[/C][C]-38.1675060017719[/C][/ROW]
[ROW][C]51[/C][C]110[/C][C]129.564261021254[/C][C]-19.5642610212543[/C][/ROW]
[ROW][C]52[/C][C]66[/C][C]47.7449911995215[/C][C]18.2550088004785[/C][/ROW]
[ROW][C]53[/C][C]138[/C][C]94.3647477083019[/C][C]43.6352522916981[/C][/ROW]
[ROW][C]54[/C][C]133[/C][C]133.90792874125[/C][C]-0.907928741250495[/C][/ROW]
[ROW][C]55[/C][C]113[/C][C]82.8238511343718[/C][C]30.1761488656282[/C][/ROW]
[ROW][C]56[/C][C]100[/C][C]85.7701859925326[/C][C]14.2298140074674[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]26.4136745014387[/C][C]-19.4136745014387[/C][/ROW]
[ROW][C]58[/C][C]140[/C][C]135.438245606235[/C][C]4.56175439376469[/C][/ROW]
[ROW][C]59[/C][C]61[/C][C]45.0790556056197[/C][C]15.9209443943803[/C][/ROW]
[ROW][C]60[/C][C]41[/C][C]52.6328046515688[/C][C]-11.6328046515688[/C][/ROW]
[ROW][C]61[/C][C]96[/C][C]99.0613892977184[/C][C]-3.06138929771845[/C][/ROW]
[ROW][C]62[/C][C]164[/C][C]128.319771618528[/C][C]35.6802283814724[/C][/ROW]
[ROW][C]63[/C][C]78[/C][C]135.026114900605[/C][C]-57.0261149006048[/C][/ROW]
[ROW][C]64[/C][C]49[/C][C]49.7991671974426[/C][C]-0.799167197442603[/C][/ROW]
[ROW][C]65[/C][C]102[/C][C]125.207605682251[/C][C]-23.2076056822506[/C][/ROW]
[ROW][C]66[/C][C]124[/C][C]120.085419119265[/C][C]3.91458088073465[/C][/ROW]
[ROW][C]67[/C][C]99[/C][C]90.7932755901509[/C][C]8.20672440984913[/C][/ROW]
[ROW][C]68[/C][C]129[/C][C]137.994264060707[/C][C]-8.9942640607071[/C][/ROW]
[ROW][C]69[/C][C]62[/C][C]131.927683861189[/C][C]-69.9276838611892[/C][/ROW]
[ROW][C]70[/C][C]73[/C][C]74.8134321124972[/C][C]-1.81343211249722[/C][/ROW]
[ROW][C]71[/C][C]114[/C][C]98.4364622406553[/C][C]15.5635377593447[/C][/ROW]
[ROW][C]72[/C][C]99[/C][C]100.548214388804[/C][C]-1.54821438880418[/C][/ROW]
[ROW][C]73[/C][C]70[/C][C]80.2610544225243[/C][C]-10.2610544225243[/C][/ROW]
[ROW][C]74[/C][C]104[/C][C]93.5655419389422[/C][C]10.4344580610578[/C][/ROW]
[ROW][C]75[/C][C]116[/C][C]89.2130974308202[/C][C]26.7869025691798[/C][/ROW]
[ROW][C]76[/C][C]91[/C][C]100.090800643277[/C][C]-9.09080064327698[/C][/ROW]
[ROW][C]77[/C][C]74[/C][C]76.4035960262152[/C][C]-2.40359602621524[/C][/ROW]
[ROW][C]78[/C][C]138[/C][C]86.4028914999775[/C][C]51.5971085000225[/C][/ROW]
[ROW][C]79[/C][C]67[/C][C]43.4338698919172[/C][C]23.5661301080828[/C][/ROW]
[ROW][C]80[/C][C]151[/C][C]90.1223220132684[/C][C]60.8776779867316[/C][/ROW]
[ROW][C]81[/C][C]72[/C][C]90.8507469458476[/C][C]-18.8507469458476[/C][/ROW]
[ROW][C]82[/C][C]120[/C][C]81.230073394142[/C][C]38.769926605858[/C][/ROW]
[ROW][C]83[/C][C]115[/C][C]115.493805289714[/C][C]-0.493805289714407[/C][/ROW]
[ROW][C]84[/C][C]105[/C][C]111.223531254296[/C][C]-6.22353125429556[/C][/ROW]
[ROW][C]85[/C][C]104[/C][C]138.434341193882[/C][C]-34.4343411938824[/C][/ROW]
[ROW][C]86[/C][C]108[/C][C]75.0351911318126[/C][C]32.9648088681874[/C][/ROW]
[ROW][C]87[/C][C]98[/C][C]76.75175318746[/C][C]21.24824681254[/C][/ROW]
[ROW][C]88[/C][C]69[/C][C]61.8807211195943[/C][C]7.11927888040566[/C][/ROW]
[ROW][C]89[/C][C]111[/C][C]133.975991727997[/C][C]-22.9759917279972[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]64.3502489399207[/C][C]34.6497510600793[/C][/ROW]
[ROW][C]91[/C][C]71[/C][C]98.3515962239552[/C][C]-27.3515962239552[/C][/ROW]
[ROW][C]92[/C][C]27[/C][C]59.6853478648039[/C][C]-32.6853478648039[/C][/ROW]
[ROW][C]93[/C][C]69[/C][C]50.5164240965724[/C][C]18.4835759034276[/C][/ROW]
[ROW][C]94[/C][C]107[/C][C]85.8854790371369[/C][C]21.114520962863[/C][/ROW]
[ROW][C]95[/C][C]73[/C][C]54.6849052548653[/C][C]18.3150947451347[/C][/ROW]
[ROW][C]96[/C][C]107[/C][C]110.979573844464[/C][C]-3.97957384446414[/C][/ROW]
[ROW][C]97[/C][C]93[/C][C]94.599480549187[/C][C]-1.59948054918699[/C][/ROW]
[ROW][C]98[/C][C]129[/C][C]103.210151369151[/C][C]25.7898486308487[/C][/ROW]
[ROW][C]99[/C][C]69[/C][C]79.573786589234[/C][C]-10.573786589234[/C][/ROW]
[ROW][C]100[/C][C]118[/C][C]104.780715490037[/C][C]13.2192845099626[/C][/ROW]
[ROW][C]101[/C][C]73[/C][C]69.8675633372697[/C][C]3.13243666273028[/C][/ROW]
[ROW][C]102[/C][C]119[/C][C]89.4387565116182[/C][C]29.5612434883818[/C][/ROW]
[ROW][C]103[/C][C]104[/C][C]115.860247814265[/C][C]-11.8602478142646[/C][/ROW]
[ROW][C]104[/C][C]107[/C][C]101.735561327199[/C][C]5.26443867280085[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]116.263835050833[/C][C]-17.2638350508333[/C][/ROW]
[ROW][C]106[/C][C]90[/C][C]137.228998639352[/C][C]-47.2289986393519[/C][/ROW]
[ROW][C]107[/C][C]197[/C][C]121.437683402719[/C][C]75.5623165972809[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]47.0564884262696[/C][C]-11.0564884262696[/C][/ROW]
[ROW][C]109[/C][C]85[/C][C]157.238718152238[/C][C]-72.2387181522382[/C][/ROW]
[ROW][C]110[/C][C]139[/C][C]108.783422019873[/C][C]30.2165779801266[/C][/ROW]
[ROW][C]111[/C][C]106[/C][C]125.073003307786[/C][C]-19.0730033077861[/C][/ROW]
[ROW][C]112[/C][C]50[/C][C]64.1130029507273[/C][C]-14.1130029507274[/C][/ROW]
[ROW][C]113[/C][C]64[/C][C]47.0335500479258[/C][C]16.9664499520742[/C][/ROW]
[ROW][C]114[/C][C]31[/C][C]69.5649718945339[/C][C]-38.5649718945339[/C][/ROW]
[ROW][C]115[/C][C]63[/C][C]96.4574978264978[/C][C]-33.4574978264978[/C][/ROW]
[ROW][C]116[/C][C]92[/C][C]96.5155192250121[/C][C]-4.51551922501207[/C][/ROW]
[ROW][C]117[/C][C]106[/C][C]106.14827525287[/C][C]-0.148275252869555[/C][/ROW]
[ROW][C]118[/C][C]63[/C][C]82.6579985578717[/C][C]-19.6579985578717[/C][/ROW]
[ROW][C]119[/C][C]69[/C][C]110.791354244891[/C][C]-41.7913542448915[/C][/ROW]
[ROW][C]120[/C][C]41[/C][C]52.0577969791679[/C][C]-11.0577969791679[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]64.5003800168313[/C][C]-8.50038001683127[/C][/ROW]
[ROW][C]122[/C][C]25[/C][C]37.1478308008691[/C][C]-12.1478308008691[/C][/ROW]
[ROW][C]123[/C][C]65[/C][C]59.3833892941964[/C][C]5.61661070580364[/C][/ROW]
[ROW][C]124[/C][C]93[/C][C]92.6136945783941[/C][C]0.386305421605932[/C][/ROW]
[ROW][C]125[/C][C]114[/C][C]113.993455404591[/C][C]0.00654459540917419[/C][/ROW]
[ROW][C]126[/C][C]38[/C][C]44.802097118893[/C][C]-6.802097118893[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]56.6303374738841[/C][C]-12.6303374738841[/C][/ROW]
[ROW][C]128[/C][C]87[/C][C]66.4434582444793[/C][C]20.5565417555207[/C][/ROW]
[ROW][C]129[/C][C]110[/C][C]113.242948363951[/C][C]-3.24294836395067[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]25.0015328118681[/C][C]-25.0015328118681[/C][/ROW]
[ROW][C]131[/C][C]27[/C][C]31.8776420344965[/C][C]-4.8776420344965[/C][/ROW]
[ROW][C]132[/C][C]83[/C][C]80.0736887598035[/C][C]2.92631124019649[/C][/ROW]
[ROW][C]133[/C][C]30[/C][C]42.5834301173819[/C][C]-12.5834301173819[/C][/ROW]
[ROW][C]134[/C][C]80[/C][C]51.8486066613213[/C][C]28.1513933386787[/C][/ROW]
[ROW][C]135[/C][C]98[/C][C]66.6306733060448[/C][C]31.3693266939552[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]129.672519814763[/C][C]-47.6725198147632[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]23.8925955570555[/C][C]-23.8925955570555[/C][/ROW]
[ROW][C]138[/C][C]60[/C][C]101.446340472428[/C][C]-41.4463404724277[/C][/ROW]
[ROW][C]139[/C][C]28[/C][C]40.8029732693732[/C][C]-12.8029732693732[/C][/ROW]
[ROW][C]140[/C][C]9[/C][C]33.4927935486996[/C][C]-24.4927935486996[/C][/ROW]
[ROW][C]141[/C][C]33[/C][C]32.6988662104846[/C][C]0.301133789515378[/C][/ROW]
[ROW][C]142[/C][C]59[/C][C]73.8449108782798[/C][C]-14.8449108782798[/C][/ROW]
[ROW][C]143[/C][C]49[/C][C]43.9462759724562[/C][C]5.05372402754382[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]101.599055479749[/C][C]13.4009445202507[/C][/ROW]
[ROW][C]145[/C][C]140[/C][C]100.999059638975[/C][C]39.000940361025[/C][/ROW]
[ROW][C]146[/C][C]49[/C][C]46.2401256189374[/C][C]2.75987438106259[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]79.6848546019822[/C][C]40.3151453980178[/C][/ROW]
[ROW][C]148[/C][C]66[/C][C]77.6028456879745[/C][C]-11.6028456879744[/C][/ROW]
[ROW][C]149[/C][C]21[/C][C]30.8940961128864[/C][C]-9.89409611288635[/C][/ROW]
[ROW][C]150[/C][C]124[/C][C]82.5176846529422[/C][C]41.4823153470578[/C][/ROW]
[ROW][C]151[/C][C]152[/C][C]116.525427512402[/C][C]35.4745724875979[/C][/ROW]
[ROW][C]152[/C][C]139[/C][C]94.6581871635736[/C][C]44.3418128364264[/C][/ROW]
[ROW][C]153[/C][C]38[/C][C]55.1392582771747[/C][C]-17.1392582771747[/C][/ROW]
[ROW][C]154[/C][C]144[/C][C]132.452150477177[/C][C]11.5478495228229[/C][/ROW]
[ROW][C]155[/C][C]120[/C][C]116.192182625386[/C][C]3.80781737461359[/C][/ROW]
[ROW][C]156[/C][C]160[/C][C]180.399822209122[/C][C]-20.3998222091219[/C][/ROW]
[ROW][C]157[/C][C]114[/C][C]82.1151781305029[/C][C]31.8848218694971[/C][/ROW]
[ROW][C]158[/C][C]39[/C][C]50.9271942373356[/C][C]-11.9271942373356[/C][/ROW]
[ROW][C]159[/C][C]78[/C][C]59.0014240704391[/C][C]18.9985759295609[/C][/ROW]
[ROW][C]160[/C][C]119[/C][C]102.396805444124[/C][C]16.6031945558762[/C][/ROW]
[ROW][C]161[/C][C]141[/C][C]141.247456429167[/C][C]-0.247456429167358[/C][/ROW]
[ROW][C]162[/C][C]101[/C][C]75.5013971106527[/C][C]25.4986028893473[/C][/ROW]
[ROW][C]163[/C][C]56[/C][C]64.6159477224259[/C][C]-8.61594772242585[/C][/ROW]
[ROW][C]164[/C][C]133[/C][C]140.725127960604[/C][C]-7.72512796060404[/C][/ROW]
[ROW][C]165[/C][C]83[/C][C]68.1037368002586[/C][C]14.8962631997414[/C][/ROW]
[ROW][C]166[/C][C]116[/C][C]95.529227004122[/C][C]20.470772995878[/C][/ROW]
[ROW][C]167[/C][C]90[/C][C]79.2589592781103[/C][C]10.7410407218897[/C][/ROW]
[ROW][C]168[/C][C]36[/C][C]78.4999081150008[/C][C]-42.4999081150008[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]58.674353408758[/C][C]-8.67435340875801[/C][/ROW]
[ROW][C]170[/C][C]61[/C][C]101.579132933131[/C][C]-40.5791329331308[/C][/ROW]
[ROW][C]171[/C][C]97[/C][C]120.054715357379[/C][C]-23.0547153573788[/C][/ROW]
[ROW][C]172[/C][C]98[/C][C]109.713562609521[/C][C]-11.7135626095208[/C][/ROW]
[ROW][C]173[/C][C]78[/C][C]66.8410719490725[/C][C]11.1589280509275[/C][/ROW]
[ROW][C]174[/C][C]117[/C][C]116.484188088732[/C][C]0.515811911267503[/C][/ROW]
[ROW][C]175[/C][C]148[/C][C]90.07397268029[/C][C]57.92602731971[/C][/ROW]
[ROW][C]176[/C][C]41[/C][C]58.4084323427727[/C][C]-17.4084323427727[/C][/ROW]
[ROW][C]177[/C][C]105[/C][C]115.414890340804[/C][C]-10.4148903408043[/C][/ROW]
[ROW][C]178[/C][C]55[/C][C]46.4888578565834[/C][C]8.51114214341662[/C][/ROW]
[ROW][C]179[/C][C]132[/C][C]122.199724978942[/C][C]9.8002750210583[/C][/ROW]
[ROW][C]180[/C][C]44[/C][C]56.9588575247091[/C][C]-12.9588575247091[/C][/ROW]
[ROW][C]181[/C][C]21[/C][C]48.1182978527389[/C][C]-27.1182978527389[/C][/ROW]
[ROW][C]182[/C][C]50[/C][C]51.1433180331047[/C][C]-1.14331803310468[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]24.70204608064[/C][C]-24.70204608064[/C][/ROW]
[ROW][C]184[/C][C]73[/C][C]85.1826161129175[/C][C]-12.1826161129175[/C][/ROW]
[ROW][C]185[/C][C]86[/C][C]103.929204636069[/C][C]-17.9292046360694[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]21.7989095618193[/C][C]-21.7989095618193[/C][/ROW]
[ROW][C]187[/C][C]13[/C][C]31.6470919636876[/C][C]-18.6470919636876[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]24.4836462759463[/C][C]-20.4836462759463[/C][/ROW]
[ROW][C]189[/C][C]57[/C][C]61.0489358499252[/C][C]-4.04893584992517[/C][/ROW]
[ROW][C]190[/C][C]48[/C][C]51.9874918328109[/C][C]-3.98749183281087[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]79.5323378229951[/C][C]-33.5323378229951[/C][/ROW]
[ROW][C]192[/C][C]48[/C][C]48.9664576962491[/C][C]-0.966457696249048[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]44.9534614896775[/C][C]-12.9534614896775[/C][/ROW]
[ROW][C]194[/C][C]68[/C][C]44.9228396073128[/C][C]23.0771603926872[/C][/ROW]
[ROW][C]195[/C][C]87[/C][C]75.4740722296048[/C][C]11.5259277703952[/C][/ROW]
[ROW][C]196[/C][C]43[/C][C]59.8318769505556[/C][C]-16.8318769505556[/C][/ROW]
[ROW][C]197[/C][C]67[/C][C]43.4563227119696[/C][C]23.5436772880304[/C][/ROW]
[ROW][C]198[/C][C]46[/C][C]60.9914145784493[/C][C]-14.9914145784493[/C][/ROW]
[ROW][C]199[/C][C]46[/C][C]62.2963678483274[/C][C]-16.2963678483275[/C][/ROW]
[ROW][C]200[/C][C]56[/C][C]56.1747676948735[/C][C]-0.174767694873481[/C][/ROW]
[ROW][C]201[/C][C]48[/C][C]47.367226633089[/C][C]0.632773366910968[/C][/ROW]
[ROW][C]202[/C][C]44[/C][C]34.7652494753742[/C][C]9.23475052462576[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]60.4495896478597[/C][C]-0.449589647859677[/C][/ROW]
[ROW][C]204[/C][C]65[/C][C]58.3873722905489[/C][C]6.61262770945114[/C][/ROW]
[ROW][C]205[/C][C]55[/C][C]47.922747433744[/C][C]7.07725256625598[/C][/ROW]
[ROW][C]206[/C][C]38[/C][C]35.372253742599[/C][C]2.62774625740101[/C][/ROW]
[ROW][C]207[/C][C]52[/C][C]43.8744126392551[/C][C]8.12558736074492[/C][/ROW]
[ROW][C]208[/C][C]60[/C][C]72.9428261054994[/C][C]-12.9428261054994[/C][/ROW]
[ROW][C]209[/C][C]54[/C][C]59.2586371303986[/C][C]-5.25863713039864[/C][/ROW]
[ROW][C]210[/C][C]86[/C][C]54.7432458898708[/C][C]31.2567541101292[/C][/ROW]
[ROW][C]211[/C][C]24[/C][C]45.9537791586826[/C][C]-21.9537791586826[/C][/ROW]
[ROW][C]212[/C][C]52[/C][C]57.0541967792215[/C][C]-5.05419677922152[/C][/ROW]
[ROW][C]213[/C][C]49[/C][C]40.0776021988378[/C][C]8.92239780116223[/C][/ROW]
[ROW][C]214[/C][C]61[/C][C]46.9252967811187[/C][C]14.0747032188813[/C][/ROW]
[ROW][C]215[/C][C]61[/C][C]46.3515316636085[/C][C]14.6484683363915[/C][/ROW]
[ROW][C]216[/C][C]81[/C][C]35.3552098288341[/C][C]45.6447901711659[/C][/ROW]
[ROW][C]217[/C][C]43[/C][C]40.5771190414673[/C][C]2.42288095853275[/C][/ROW]
[ROW][C]218[/C][C]40[/C][C]46.3420769035598[/C][C]-6.34207690355982[/C][/ROW]
[ROW][C]219[/C][C]40[/C][C]40.818511129601[/C][C]-0.818511129601041[/C][/ROW]
[ROW][C]220[/C][C]56[/C][C]42.5616895860693[/C][C]13.4383104139307[/C][/ROW]
[ROW][C]221[/C][C]68[/C][C]47.4946976546866[/C][C]20.5053023453134[/C][/ROW]
[ROW][C]222[/C][C]79[/C][C]64.512497151727[/C][C]14.487502848273[/C][/ROW]
[ROW][C]223[/C][C]47[/C][C]51.7659239272687[/C][C]-4.76592392726873[/C][/ROW]
[ROW][C]224[/C][C]57[/C][C]47.033165158803[/C][C]9.96683484119699[/C][/ROW]
[ROW][C]225[/C][C]41[/C][C]27.353094617827[/C][C]13.646905382173[/C][/ROW]
[ROW][C]226[/C][C]29[/C][C]57.2898791313897[/C][C]-28.2898791313897[/C][/ROW]
[ROW][C]227[/C][C]3[/C][C]48.5527769428723[/C][C]-45.5527769428723[/C][/ROW]
[ROW][C]228[/C][C]60[/C][C]51.3422895893864[/C][C]8.65771041061359[/C][/ROW]
[ROW][C]229[/C][C]30[/C][C]39.001721879613[/C][C]-9.00172187961303[/C][/ROW]
[ROW][C]230[/C][C]79[/C][C]58.760940645521[/C][C]20.239059354479[/C][/ROW]
[ROW][C]231[/C][C]47[/C][C]26.6275668840285[/C][C]20.3724331159715[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]47.7450688564902[/C][C]-7.74506885649025[/C][/ROW]
[ROW][C]233[/C][C]48[/C][C]57.4926458926237[/C][C]-9.49264589262374[/C][/ROW]
[ROW][C]234[/C][C]36[/C][C]37.7493175862786[/C][C]-1.74931758627858[/C][/ROW]
[ROW][C]235[/C][C]42[/C][C]48.9507636815402[/C][C]-6.95076368154019[/C][/ROW]
[ROW][C]236[/C][C]49[/C][C]42.2279586240355[/C][C]6.77204137596447[/C][/ROW]
[ROW][C]237[/C][C]57[/C][C]64.3064790944066[/C][C]-7.30647909440663[/C][/ROW]
[ROW][C]238[/C][C]12[/C][C]34.9539746533088[/C][C]-22.9539746533088[/C][/ROW]
[ROW][C]239[/C][C]40[/C][C]42.9050278374999[/C][C]-2.90502783749989[/C][/ROW]
[ROW][C]240[/C][C]43[/C][C]35.0590789097332[/C][C]7.94092109026678[/C][/ROW]
[ROW][C]241[/C][C]33[/C][C]52.6525842098968[/C][C]-19.6525842098968[/C][/ROW]
[ROW][C]242[/C][C]77[/C][C]68.9973627206017[/C][C]8.00263727939827[/C][/ROW]
[ROW][C]243[/C][C]43[/C][C]37.5970918548297[/C][C]5.40290814517031[/C][/ROW]
[ROW][C]244[/C][C]45[/C][C]41.5891884667484[/C][C]3.4108115332516[/C][/ROW]
[ROW][C]245[/C][C]47[/C][C]46.8711328480453[/C][C]0.128867151954736[/C][/ROW]
[ROW][C]246[/C][C]43[/C][C]53.5156422871781[/C][C]-10.5156422871781[/C][/ROW]
[ROW][C]247[/C][C]45[/C][C]58.7567386412394[/C][C]-13.7567386412394[/C][/ROW]
[ROW][C]248[/C][C]50[/C][C]47.9792065677513[/C][C]2.02079343224868[/C][/ROW]
[ROW][C]249[/C][C]35[/C][C]51.2225226863954[/C][C]-16.2225226863954[/C][/ROW]
[ROW][C]250[/C][C]7[/C][C]41.1315518861043[/C][C]-34.1315518861043[/C][/ROW]
[ROW][C]251[/C][C]71[/C][C]67.4679972984123[/C][C]3.53200270158772[/C][/ROW]
[ROW][C]252[/C][C]67[/C][C]58.9616848464617[/C][C]8.03831515353832[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]25.6361215499347[/C][C]-25.6361215499347[/C][/ROW]
[ROW][C]254[/C][C]62[/C][C]50.1609834871062[/C][C]11.8390165128938[/C][/ROW]
[ROW][C]255[/C][C]54[/C][C]44.2238930811416[/C][C]9.77610691885841[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]26.6799993544108[/C][C]-22.6799993544108[/C][/ROW]
[ROW][C]257[/C][C]25[/C][C]36.2960851164815[/C][C]-11.2960851164815[/C][/ROW]
[ROW][C]258[/C][C]40[/C][C]48.0980592818196[/C][C]-8.0980592818196[/C][/ROW]
[ROW][C]259[/C][C]38[/C][C]37.3156182500585[/C][C]0.684381749941451[/C][/ROW]
[ROW][C]260[/C][C]19[/C][C]32.7942405864085[/C][C]-13.7942405864085[/C][/ROW]
[ROW][C]261[/C][C]17[/C][C]26.5253399470416[/C][C]-9.52533994704161[/C][/ROW]
[ROW][C]262[/C][C]67[/C][C]45.9042019909639[/C][C]21.0957980090361[/C][/ROW]
[ROW][C]263[/C][C]14[/C][C]28.2047132668961[/C][C]-14.2047132668961[/C][/ROW]
[ROW][C]264[/C][C]30[/C][C]39.3031890804958[/C][C]-9.30318908049579[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]44.1975457107942[/C][C]9.80245428920579[/C][/ROW]
[ROW][C]266[/C][C]35[/C][C]47.4710178701786[/C][C]-12.4710178701786[/C][/ROW]
[ROW][C]267[/C][C]59[/C][C]43.045002848313[/C][C]15.954997151687[/C][/ROW]
[ROW][C]268[/C][C]24[/C][C]43.7687861843889[/C][C]-19.7687861843889[/C][/ROW]
[ROW][C]269[/C][C]58[/C][C]54.3857468771729[/C][C]3.61425312282708[/C][/ROW]
[ROW][C]270[/C][C]42[/C][C]55.4339618608886[/C][C]-13.4339618608886[/C][/ROW]
[ROW][C]271[/C][C]46[/C][C]51.4972087644681[/C][C]-5.49720876446808[/C][/ROW]
[ROW][C]272[/C][C]61[/C][C]44.8953637408443[/C][C]16.1046362591557[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]28.4915647649398[/C][C]-25.4915647649398[/C][/ROW]
[ROW][C]274[/C][C]52[/C][C]53.2263805797633[/C][C]-1.22638057976329[/C][/ROW]
[ROW][C]275[/C][C]25[/C][C]40.35612837253[/C][C]-15.35612837253[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]42.1111492341301[/C][C]-2.11114923413006[/C][/ROW]
[ROW][C]277[/C][C]32[/C][C]41.3739811240041[/C][C]-9.37398112400413[/C][/ROW]
[ROW][C]278[/C][C]4[/C][C]25.9715959127732[/C][C]-21.9715959127732[/C][/ROW]
[ROW][C]279[/C][C]49[/C][C]47.2194328617894[/C][C]1.78056713821058[/C][/ROW]
[ROW][C]280[/C][C]63[/C][C]45.6765884037156[/C][C]17.3234115962844[/C][/ROW]
[ROW][C]281[/C][C]67[/C][C]45.8387130997313[/C][C]21.1612869002687[/C][/ROW]
[ROW][C]282[/C][C]32[/C][C]67.0413877434668[/C][C]-35.0413877434668[/C][/ROW]
[ROW][C]283[/C][C]23[/C][C]50.8012755394628[/C][C]-27.8012755394628[/C][/ROW]
[ROW][C]284[/C][C]7[/C][C]29.4632340625462[/C][C]-22.4632340625462[/C][/ROW]
[ROW][C]285[/C][C]54[/C][C]39.7687660011234[/C][C]14.2312339988766[/C][/ROW]
[ROW][C]286[/C][C]37[/C][C]43.7333695520609[/C][C]-6.73336955206085[/C][/ROW]
[ROW][C]287[/C][C]35[/C][C]34.2401744391226[/C][C]0.759825560877368[/C][/ROW]
[ROW][C]288[/C][C]51[/C][C]48.1414191665733[/C][C]2.85858083342672[/C][/ROW]
[ROW][C]289[/C][C]39[/C][C]41.9184552768757[/C][C]-2.91845527687566[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153505&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153505&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
194112.347255488804-18.3472554888036
210381.158845495666621.8411545043334
39391.05868850811011.94131149188994
410399.93553546422873.06446453577127
55161.9817234128314-10.9817234128314
67056.823701995500713.1762980044993
791148.480588180001-57.480588180001
82234.1693035028418-12.1693035028418
93847.0289348497859-9.02893484978586
109395.8756000038402-2.87560000384019
116078.487997001154-18.487997001154
1212399.555298806204423.4447011937956
1314884.56844627916163.431553720839
149070.273716165129219.7262838348708
15124109.04710063054514.9528993694551
167080.3255169168221-10.3255169168221
17168126.33559308360241.6644069163984
18115124.162220841305-9.16222084130529
1971108.261957472893-37.2619574728934
206691.8383755783035-25.8383755783035
21134110.34322988411723.656770115883
22117106.30237846812410.6976215318755
23108120.854626006167-12.8546260061666
248478.38137809129255.61862190870751
2515688.244044327343267.7559556726568
2612086.290034677618833.7099653223812
2711488.850769566794625.1492304332054
2894101.867328566511-7.86732856651091
2912097.654445118372622.3455548816274
308158.649162765099922.3508372349001
3111099.414775176533310.5852248234667
32133111.45061480618121.549385193819
3312288.553656422092233.4463435779078
34158112.68436036905145.3156396309487
3510959.669228247118949.3307717528811
36124125.926128241074-1.92612824107369
373951.4339926459197-12.4339926459197
389286.31466866221375.68533133778634
39126118.2505583181627.7494416818379
40021.1110924198331-21.1110924198331
417078.2259727021421-8.2259727021421
423754.5072369178776-17.5072369178776
433848.9300620531521-10.9300620531521
44120109.62471673644810.3752832635521
4593104.864891732236-11.8648917322356
469576.147760199058818.8522398009412
477771.53803351758365.46196648241639
489082.87957584323487.12042415676524
498062.977910220001817.0220897799982
503169.1675060017719-38.1675060017719
51110129.564261021254-19.5642610212543
526647.744991199521518.2550088004785
5313894.364747708301943.6352522916981
54133133.90792874125-0.907928741250495
5511382.823851134371830.1761488656282
5610085.770185992532614.2298140074674
57726.4136745014387-19.4136745014387
58140135.4382456062354.56175439376469
596145.079055605619715.9209443943803
604152.6328046515688-11.6328046515688
619699.0613892977184-3.06138929771845
62164128.31977161852835.6802283814724
6378135.026114900605-57.0261149006048
644949.7991671974426-0.799167197442603
65102125.207605682251-23.2076056822506
66124120.0854191192653.91458088073465
679990.79327559015098.20672440984913
68129137.994264060707-8.9942640607071
6962131.927683861189-69.9276838611892
707374.8134321124972-1.81343211249722
7111498.436462240655315.5635377593447
7299100.548214388804-1.54821438880418
737080.2610544225243-10.2610544225243
7410493.565541938942210.4344580610578
7511689.213097430820226.7869025691798
7691100.090800643277-9.09080064327698
777476.4035960262152-2.40359602621524
7813886.402891499977551.5971085000225
796743.433869891917223.5661301080828
8015190.122322013268460.8776779867316
817290.8507469458476-18.8507469458476
8212081.23007339414238.769926605858
83115115.493805289714-0.493805289714407
84105111.223531254296-6.22353125429556
85104138.434341193882-34.4343411938824
8610875.035191131812632.9648088681874
879876.7517531874621.24824681254
886961.88072111959437.11927888040566
89111133.975991727997-22.9759917279972
909964.350248939920734.6497510600793
917198.3515962239552-27.3515962239552
922759.6853478648039-32.6853478648039
936950.516424096572418.4835759034276
9410785.885479037136921.114520962863
957354.684905254865318.3150947451347
96107110.979573844464-3.97957384446414
979394.599480549187-1.59948054918699
98129103.21015136915125.7898486308487
996979.573786589234-10.573786589234
100118104.78071549003713.2192845099626
1017369.86756333726973.13243666273028
10211989.438756511618229.5612434883818
103104115.860247814265-11.8602478142646
104107101.7355613271995.26443867280085
10599116.263835050833-17.2638350508333
10690137.228998639352-47.2289986393519
107197121.43768340271975.5623165972809
1083647.0564884262696-11.0564884262696
10985157.238718152238-72.2387181522382
110139108.78342201987330.2165779801266
111106125.073003307786-19.0730033077861
1125064.1130029507273-14.1130029507274
1136447.033550047925816.9664499520742
1143169.5649718945339-38.5649718945339
1156396.4574978264978-33.4574978264978
1169296.5155192250121-4.51551922501207
117106106.14827525287-0.148275252869555
1186382.6579985578717-19.6579985578717
11969110.791354244891-41.7913542448915
1204152.0577969791679-11.0577969791679
1215664.5003800168313-8.50038001683127
1222537.1478308008691-12.1478308008691
1236559.38338929419645.61661070580364
1249392.61369457839410.386305421605932
125114113.9934554045910.00654459540917419
1263844.802097118893-6.802097118893
1274456.6303374738841-12.6303374738841
1288766.443458244479320.5565417555207
129110113.242948363951-3.24294836395067
130025.0015328118681-25.0015328118681
1312731.8776420344965-4.8776420344965
1328380.07368875980352.92631124019649
1333042.5834301173819-12.5834301173819
1348051.848606661321328.1513933386787
1359866.630673306044831.3693266939552
13682129.672519814763-47.6725198147632
137023.8925955570555-23.8925955570555
13860101.446340472428-41.4463404724277
1392840.8029732693732-12.8029732693732
140933.4927935486996-24.4927935486996
1413332.69886621048460.301133789515378
1425973.8449108782798-14.8449108782798
1434943.94627597245625.05372402754382
144115101.59905547974913.4009445202507
145140100.99905963897539.000940361025
1464946.24012561893742.75987438106259
14712079.684854601982240.3151453980178
1486677.6028456879745-11.6028456879744
1492130.8940961128864-9.89409611288635
15012482.517684652942241.4823153470578
151152116.52542751240235.4745724875979
15213994.658187163573644.3418128364264
1533855.1392582771747-17.1392582771747
154144132.45215047717711.5478495228229
155120116.1921826253863.80781737461359
156160180.399822209122-20.3998222091219
15711482.115178130502931.8848218694971
1583950.9271942373356-11.9271942373356
1597859.001424070439118.9985759295609
160119102.39680544412416.6031945558762
161141141.247456429167-0.247456429167358
16210175.501397110652725.4986028893473
1635664.6159477224259-8.61594772242585
164133140.725127960604-7.72512796060404
1658368.103736800258614.8962631997414
16611695.52922700412220.470772995878
1679079.258959278110310.7410407218897
1683678.4999081150008-42.4999081150008
1695058.674353408758-8.67435340875801
17061101.579132933131-40.5791329331308
17197120.054715357379-23.0547153573788
17298109.713562609521-11.7135626095208
1737866.841071949072511.1589280509275
174117116.4841880887320.515811911267503
17514890.0739726802957.92602731971
1764158.4084323427727-17.4084323427727
177105115.414890340804-10.4148903408043
1785546.48885785658348.51114214341662
179132122.1997249789429.8002750210583
1804456.9588575247091-12.9588575247091
1812148.1182978527389-27.1182978527389
1825051.1433180331047-1.14331803310468
183024.70204608064-24.70204608064
1847385.1826161129175-12.1826161129175
18586103.929204636069-17.9292046360694
186021.7989095618193-21.7989095618193
1871331.6470919636876-18.6470919636876
188424.4836462759463-20.4836462759463
1895761.0489358499252-4.04893584992517
1904851.9874918328109-3.98749183281087
1914679.5323378229951-33.5323378229951
1924848.9664576962491-0.966457696249048
1933244.9534614896775-12.9534614896775
1946844.922839607312823.0771603926872
1958775.474072229604811.5259277703952
1964359.8318769505556-16.8318769505556
1976743.456322711969623.5436772880304
1984660.9914145784493-14.9914145784493
1994662.2963678483274-16.2963678483275
2005656.1747676948735-0.174767694873481
2014847.3672266330890.632773366910968
2024434.76524947537429.23475052462576
2036060.4495896478597-0.449589647859677
2046558.38737229054896.61262770945114
2055547.9227474337447.07725256625598
2063835.3722537425992.62774625740101
2075243.87441263925518.12558736074492
2086072.9428261054994-12.9428261054994
2095459.2586371303986-5.25863713039864
2108654.743245889870831.2567541101292
2112445.9537791586826-21.9537791586826
2125257.0541967792215-5.05419677922152
2134940.07760219883788.92239780116223
2146146.925296781118714.0747032188813
2156146.351531663608514.6484683363915
2168135.355209828834145.6447901711659
2174340.57711904146732.42288095853275
2184046.3420769035598-6.34207690355982
2194040.818511129601-0.818511129601041
2205642.561689586069313.4383104139307
2216847.494697654686620.5053023453134
2227964.51249715172714.487502848273
2234751.7659239272687-4.76592392726873
2245747.0331651588039.96683484119699
2254127.35309461782713.646905382173
2262957.2898791313897-28.2898791313897
227348.5527769428723-45.5527769428723
2286051.34228958938648.65771041061359
2293039.001721879613-9.00172187961303
2307958.76094064552120.239059354479
2314726.627566884028520.3724331159715
2324047.7450688564902-7.74506885649025
2334857.4926458926237-9.49264589262374
2343637.7493175862786-1.74931758627858
2354248.9507636815402-6.95076368154019
2364942.22795862403556.77204137596447
2375764.3064790944066-7.30647909440663
2381234.9539746533088-22.9539746533088
2394042.9050278374999-2.90502783749989
2404335.05907890973327.94092109026678
2413352.6525842098968-19.6525842098968
2427768.99736272060178.00263727939827
2434337.59709185482975.40290814517031
2444541.58918846674843.4108115332516
2454746.87113284804530.128867151954736
2464353.5156422871781-10.5156422871781
2474558.7567386412394-13.7567386412394
2485047.97920656775132.02079343224868
2493551.2225226863954-16.2225226863954
250741.1315518861043-34.1315518861043
2517167.46799729841233.53200270158772
2526758.96168484646178.03831515353832
253025.6361215499347-25.6361215499347
2546250.160983487106211.8390165128938
2555444.22389308114169.77610691885841
256426.6799993544108-22.6799993544108
2572536.2960851164815-11.2960851164815
2584048.0980592818196-8.0980592818196
2593837.31561825005850.684381749941451
2601932.7942405864085-13.7942405864085
2611726.5253399470416-9.52533994704161
2626745.904201990963921.0957980090361
2631428.2047132668961-14.2047132668961
2643039.3031890804958-9.30318908049579
2655444.19754571079429.80245428920579
2663547.4710178701786-12.4710178701786
2675943.04500284831315.954997151687
2682443.7687861843889-19.7687861843889
2695854.38574687717293.61425312282708
2704255.4339618608886-13.4339618608886
2714651.4972087644681-5.49720876446808
2726144.895363740844316.1046362591557
273328.4915647649398-25.4915647649398
2745253.2263805797633-1.22638057976329
2752540.35612837253-15.35612837253
2764042.1111492341301-2.11114923413006
2773241.3739811240041-9.37398112400413
278425.9715959127732-21.9715959127732
2794947.21943286178941.78056713821058
2806345.676588403715617.3234115962844
2816745.838713099731321.1612869002687
2823267.0413877434668-35.0413877434668
2832350.8012755394628-27.8012755394628
284729.4632340625462-22.4632340625462
2855439.768766001123414.2312339988766
2863743.7333695520609-6.73336955206085
2873534.24017443912260.759825560877368
2885148.14141916657332.85858083342672
2893941.9184552768757-2.91845527687566






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1894933484982160.3789866969964330.810506651501784
100.08431577657667210.1686315531533440.915684223423328
110.04963272893022710.09926545786045420.950367271069773
120.1836768237845710.3673536475691420.816323176215429
130.3715651133738640.7431302267477280.628434886626136
140.3580869634754550.716173926950910.641913036524545
150.6831551612972380.6336896774055240.316844838702762
160.639207876707140.721584246585720.36079212329286
170.6055642745925060.7888714508149880.394435725407494
180.5208086485746130.9583827028507730.479191351425387
190.8117925719283020.3764148561433970.188207428071698
200.8697268059716360.2605463880567290.130273194028364
210.8672303659934640.2655392680130710.132769634006536
220.8401031510520080.3197936978959840.159896848947992
230.8206173803086850.3587652393826310.179382619691315
240.793859132975220.412281734049560.20614086702478
250.9511924068880350.09761518622393060.0488075931119653
260.9396406731661550.120718653667690.0603593268338448
270.9226239584224940.1547520831550120.0773760415775059
280.9189461925371320.1621076149257360.0810538074628681
290.9185823482511410.1628353034977170.0814176517488585
300.9037952960613270.1924094078773450.0962047039386726
310.8831266992715170.2337466014569660.116873300728483
320.8886011534535460.2227976930929080.111398846546454
330.8749886244404910.2500227511190180.125011375559509
340.9415971494884860.1168057010230290.0584028505115144
350.9746531521435030.05069369571299370.0253468478564969
360.966373330134390.06725333973122090.0336266698656104
370.9627405431422390.07451891371552160.0372594568577608
380.9534434677815720.09311306443685690.0465565322184285
390.9463016855698930.1073966288602140.053698314430107
400.9559444397630750.08811112047385010.0440555602369251
410.9491922046101230.1016155907797530.0508077953898767
420.9441103353515250.111779329296950.0558896646484748
430.9460016274594360.1079967450811280.053998372540564
440.9330898659395010.1338202681209970.0669101340604985
450.9197269053338840.1605461893322320.0802730946661158
460.9075667715203790.1848664569592410.0924332284796206
470.8884024275534730.2231951448930530.111597572446527
480.8653076069933730.2693847860132540.134692393006627
490.8485523264333610.3028953471332780.151447673566639
500.8976715435415080.2046569129169830.102328456458492
510.8809336223997430.2381327552005140.119066377600257
520.8698631166118960.2602737667762070.130136883388104
530.8926847102746520.2146305794506960.107315289725348
540.8725367849281810.2549264301436380.127463215071819
550.8697482269700980.2605035460598040.130251773029902
560.8484836843442180.3030326313115640.151516315655782
570.8474902437890990.3050195124218010.152509756210901
580.8386980678929330.3226038642141350.161301932107067
590.824311028971850.3513779420562990.17568897102815
600.8075112350417810.3849775299164380.192488764958219
610.7800172111625280.4399655776749450.219982788837472
620.8032157319458150.3935685361083710.196784268054186
630.9097672503715860.1804654992568280.0902327496284142
640.891907272587760.216185454824480.10809272741224
650.9366231564964450.1267536870071090.0633768435035546
660.9256353059255720.1487293881488570.0743646940744285
670.9120685510071550.175862897985690.0879314489928452
680.8982782320556540.2034435358886910.101721767944346
690.9865629393754740.02687412124905290.0134370606245265
700.9828693351723370.03426132965532610.017130664827663
710.9799745993250150.04005080134996970.0200254006749849
720.9758193955630380.04836120887392410.0241806044369621
730.9723179272914280.05536414541714360.0276820727085718
740.9665600074571050.06687998508579040.0334399925428952
750.9676972629255950.06460547414881090.0323027370744055
760.962816220353910.07436755929217940.0371837796460897
770.955360941208280.08927811758343980.0446390587917199
780.9795404488858660.04091910222826720.0204595511141336
790.9781047248737330.04379055025253320.0218952751262666
800.9941940012236120.01161199755277590.00580599877638793
810.9941911638556260.01161767228874830.00580883614437414
820.9959262835699120.008147432860176160.00407371643008808
830.9947347408103880.01053051837922350.00526525918961177
840.9934668304590920.01306633908181640.00653316954090821
850.994291852129010.01141629574198020.00570814787099008
860.9951683381198490.009663323760301570.00483166188015078
870.9947373164965390.01052536700692250.00526268350346125
880.9932640292762850.01347194144743040.00673597072371519
890.9928487225021710.0143025549956580.00715127749782899
900.9943673724634380.01126525507312380.00563262753656191
910.995607643236890.008784713526219760.00439235676310988
920.9972089406098360.005582118780327590.0027910593901638
930.9966929043747280.006614191250543380.00330709562527169
940.9965036561243210.006992687751358470.00349634387567923
950.9960177767207320.007964446558536530.00398222327926827
960.9949847287406020.01003054251879690.00501527125939847
970.9935491948401780.01290161031964310.00645080515982155
980.9937520331752180.01249593364956460.0062479668247823
990.9926899303564080.01462013928718370.00731006964359184
1000.9918018920663620.01639621586727580.00819810793363789
1010.9897056605516810.02058867889663710.0102943394483186
1020.9908309577437080.01833808451258480.0091690422562924
1030.9890009743743720.02199805125125630.0109990256256282
1040.9864326856143980.02713462877120370.0135673143856018
1050.9850276695319280.0299446609361430.0149723304680715
1060.9919562709587630.01608745808247450.00804372904123725
1070.999568777908920.0008624441821594940.000431222091079747
1080.9995069894127520.0009860211744962310.000493010587248115
1090.9999660449056736.79101886540898e-053.39550943270449e-05
1100.9999757061904044.85876191913025e-052.42938095956513e-05
1110.9999714583497785.70833004438705e-052.85416502219353e-05
1120.9999695096235776.09807528465277e-053.04903764232638e-05
1130.9999623746293477.52507413061382e-053.76253706530691e-05
1140.999984471319793.10573604204524e-051.55286802102262e-05
1150.9999904330058651.91339882701807e-059.56699413509035e-06
1160.9999862823028912.74353942182868e-051.37176971091434e-05
1170.9999800465473553.99069052899379e-051.9953452644969e-05
1180.9999790686891794.18626216413141e-052.09313108206571e-05
1190.9999938834629141.2233074172094e-056.11653708604699e-06
1200.9999924462885141.51074229729443e-057.55371148647215e-06
1210.9999899578480412.008430391826e-051.004215195913e-05
1220.999988103693982.37926120407629e-051.18963060203814e-05
1230.9999831517058263.3696588347304e-051.6848294173652e-05
1240.9999776711052534.46577894940338e-052.23288947470169e-05
1250.999968119257526.37614849590677e-053.18807424795339e-05
1260.999958188168138.36236637401495e-054.18118318700748e-05
1270.9999495852104940.0001008295790115215.04147895057606e-05
1280.9999437834568070.0001124330863853415.62165431926706e-05
1290.9999210003470150.0001579993059697197.89996529848596e-05
1300.9999360912892980.0001278174214048676.39087107024333e-05
1310.999914390605960.0001712187880798798.56093940399397e-05
1320.9998810386130120.0002379227739749780.000118961386987489
1330.9998570719100570.0002858561798863260.000142928089943163
1340.9998815818644410.0002368362711174770.000118418135558739
1350.9999209786446660.0001580427106676667.90213553338332e-05
1360.9999743179341055.1364131790775e-052.56820658953875e-05
1370.9999778624916214.42750167577283e-052.21375083788641e-05
1380.9999932781257191.34437485625646e-056.72187428128228e-06
1390.9999918787401491.62425197017408e-058.12125985087038e-06
1400.9999929902830821.40194338356641e-057.00971691783204e-06
1410.9999899515887212.00968225582097e-051.00484112791048e-05
1420.9999879010849442.41978301129126e-051.20989150564563e-05
1430.9999830311070623.39377858768081e-051.69688929384041e-05
1440.9999792948223654.14103552690971e-052.07051776345485e-05
1450.9999887885204552.24229590903841e-051.1211479545192e-05
1460.9999840200620033.1959875993099e-051.59799379965495e-05
1470.9999924426575871.51146848265813e-057.55734241329065e-06
1480.9999908750923361.82498153287769e-059.12490766438843e-06
1490.9999878131059582.43737880839538e-051.21868940419769e-05
1500.9999952437768859.51244622990641e-064.7562231149532e-06
1510.9999977843998664.43120026829642e-062.21560013414821e-06
1520.999999452855931.09428813961181e-065.47144069805907e-07
1530.9999993541775161.29164496867081e-066.45822484335403e-07
1540.9999992388365211.52232695733538e-067.61163478667692e-07
1550.9999988855390082.22892198317161e-061.11446099158581e-06
1560.9999989620566852.07588662927236e-061.03794331463618e-06
1570.999999463412981.07317404020466e-065.36587020102329e-07
1580.9999992573245271.4853509463553e-067.4267547317765e-07
1590.9999991673949051.66521018948282e-068.32605094741409e-07
1600.9999992176724571.56465508548784e-067.82327542743921e-07
1610.9999988351634552.32967308967566e-061.16483654483783e-06
1620.9999988679527772.26409444635232e-061.13204722317616e-06
1630.9999983312620513.33747589764902e-061.66873794882451e-06
1640.9999974860628885.02787422448521e-062.5139371122426e-06
1650.9999970771414035.84571719456822e-062.92285859728411e-06
1660.9999975612490514.87750189855876e-062.43875094927938e-06
1670.9999970164583135.96708337470157e-062.98354168735079e-06
1680.9999990959084191.80818316137625e-069.04091580688124e-07
1690.9999986627035092.67459298107317e-061.33729649053658e-06
1700.9999995337182769.3256344702697e-074.66281723513485e-07
1710.9999995933896448.13220712622021e-074.0661035631101e-07
1720.999999394423611.21115277970522e-066.05576389852612e-07
1730.999999157501811.68499637940291e-068.42498189701455e-07
1740.9999986810685522.63786289496382e-061.31893144748191e-06
1750.999999944873571.1025285896398e-075.51264294819898e-08
1760.9999999357615361.28476928273267e-076.42384641366337e-08
1770.9999999015342561.96931488422055e-079.84657442110277e-08
1780.9999998569454932.86109013543652e-071.43054506771826e-07
1790.9999998412826913.17434618637459e-071.5871730931873e-07
1800.9999997891655594.21668881495462e-072.10834440747731e-07
1810.9999998649539722.70092055791878e-071.35046027895939e-07
1820.9999997861693244.27661352276658e-072.13830676138329e-07
1830.9999998209147793.58170441688791e-071.79085220844395e-07
1840.9999997261173955.47765209148735e-072.73882604574368e-07
1850.9999996396064187.20787163191241e-073.60393581595621e-07
1860.9999996367822427.2643551550972e-073.6321775775486e-07
1870.9999996010186367.97962728684918e-073.98981364342459e-07
1880.9999995940462898.11907422841141e-074.0595371142057e-07
1890.9999993472554181.30548916368006e-066.5274458184003e-07
1900.9999989603737472.07925250550717e-061.03962625275358e-06
1910.9999994776918871.0446162257478e-065.22308112873901e-07
1920.9999991557194741.6885610518884e-068.44280525944198e-07
1930.9999988607540882.27849182335136e-061.13924591167568e-06
1940.9999991018721191.79625576094468e-068.9812788047234e-07
1950.9999988801709042.2396581915011e-061.11982909575055e-06
1960.9999985920795072.81584098684239e-061.4079204934212e-06
1970.9999989111877172.17762456558166e-061.08881228279083e-06
1980.9999984466295223.1067409552372e-061.5533704776186e-06
1990.9999980425483423.91490331565206e-061.95745165782603e-06
2000.9999969012318896.19753622106221e-063.09876811053111e-06
2010.9999950794310329.84113793655667e-064.92056896827833e-06
2020.9999932688235791.34623528423671e-056.73117642118356e-06
2030.9999894234069462.11531861082998e-051.05765930541499e-05
2040.9999843327102433.13345795132135e-051.56672897566067e-05
2050.9999774909368654.50181262690983e-052.25090631345491e-05
2060.9999662569326566.74861346872277e-053.37430673436138e-05
2070.9999530486815089.39026369841834e-054.69513184920917e-05
2080.9999457666133570.0001084667732856615.42333866428305e-05
2090.9999226094772860.000154781045428397.73905227141949e-05
2100.9999547121316589.05757366832983e-054.52878683416491e-05
2110.9999572839595698.54320808613449e-054.27160404306725e-05
2120.9999364808906820.0001270382186359126.3519109317956e-05
2130.9999167423251140.000166515349771828.32576748859098e-05
2140.9999007725527650.0001984548944694849.92274472347421e-05
2150.9998948606316980.0002102787366040250.000105139368302013
2160.9999904924911741.90150176516391e-059.50750882581956e-06
2170.9999856644604512.86710790983578e-051.43355395491789e-05
2180.9999772120500464.55758999079485e-052.27879499539743e-05
2190.9999639828448627.20343102758262e-053.60171551379131e-05
2200.9999580962423828.38075152360588e-054.19037576180294e-05
2210.9999675323059196.49353881611349e-053.24676940805675e-05
2220.9999682392686316.35214627375285e-053.17607313687642e-05
2230.9999495008961820.0001009982076353025.04991038176511e-05
2240.999938373864740.0001232522705192126.16261352596059e-05
2250.9999400663282550.0001198673434895625.9933671744781e-05
2260.9999811419616573.77160766867836e-051.88580383433918e-05
2270.9999976898055614.62038887713844e-062.31019443856922e-06
2280.9999965658970746.86820585204459e-063.43410292602229e-06
2290.9999947719263521.04561472956677e-055.22807364783387e-06
2300.9999990174571661.96508566806164e-069.8254283403082e-07
2310.999999711560925.76878159950908e-072.88439079975454e-07
2320.9999994666523651.06669527047028e-065.33347635235142e-07
2330.9999990170735741.96585285205003e-069.82926426025015e-07
2340.9999984365793643.12684127190232e-061.56342063595116e-06
2350.9999971387425675.72251486602895e-062.86125743301447e-06
2360.9999963198975027.36020499545391e-063.68010249772696e-06
2370.9999965933937916.81321241848822e-063.40660620924411e-06
2380.9999971242267825.75154643636988e-062.87577321818494e-06
2390.9999946445608731.07108782539752e-055.35543912698758e-06
2400.9999938880268091.22239463817069e-056.11197319085344e-06
2410.9999934033886051.31932227896473e-056.59661139482366e-06
2420.9999879726242892.4054751421313e-051.20273757106565e-05
2430.999983266913373.34661732595702e-051.67330866297851e-05
2440.9999786281360954.27437278095061e-052.1371863904753e-05
2450.9999621916720167.56166559669668e-053.78083279834834e-05
2460.9999364995708430.0001270008583149396.35004291574697e-05
2470.9999051087423750.0001897825152498779.48912576249386e-05
2480.9998405476248320.000318904750336830.000159452375168415
2490.9997902311906650.0004195376186694240.000209768809334712
2500.9998048716709460.0003902566581085630.000195128329054282
2510.9996782538229750.0006434923540495720.000321746177024786
2520.9994583910887610.001083217822477150.000541608911238577
2530.9993605927880640.001278814423872390.000639407211936194
2540.9992568118780170.001486376243965260.000743188121982631
2550.9990888525958310.001822294808337390.000911147404168696
2560.9988999606860360.002200078627927310.00110003931396366
2570.9981461775845610.003707644830877210.0018538224154386
2580.9969034809185940.006193038162812010.00309651908140601
2590.9954420377032890.009115924593422020.00455796229671101
2600.9927895602006310.01442087959873730.00721043979936863
2610.9887884419899440.02242311602011190.0112115580100559
2620.9894481711090830.02110365778183330.0105518288909166
2630.9838034456131820.03239310877363520.0161965543868176
2640.9767338171050790.04653236578984210.023266182894921
2650.9804787121219780.03904257575604460.0195212878780223
2660.977784149120560.04443170175887990.02221585087944
2670.9808909845430950.03821803091380990.019109015456905
2680.9725239950534280.05495200989314390.027476004946572
2690.9728347093519960.05433058129600720.0271652906480036
2700.9553346712434060.08933065751318820.0446653287565941
2710.9319108299858360.1361783400283290.0680891700141645
2720.936744264394370.126511471211260.0632557356056302
2730.91620654956440.1675869008712010.0837934504356003
2740.8672072879782980.2655854240434050.132792712021702
2750.8290520283545740.3418959432908520.170947971645426
2760.7646245109813710.4707509780372580.235375489018629
2770.6771736028501060.6456527942997880.322826397149894
2780.6357583032488670.7284833935022660.364241696751133
2790.5053444758997440.9893110482005120.494655524100256
2800.3446151604788980.6892303209577970.655384839521102

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.189493348498216 & 0.378986696996433 & 0.810506651501784 \tabularnewline
10 & 0.0843157765766721 & 0.168631553153344 & 0.915684223423328 \tabularnewline
11 & 0.0496327289302271 & 0.0992654578604542 & 0.950367271069773 \tabularnewline
12 & 0.183676823784571 & 0.367353647569142 & 0.816323176215429 \tabularnewline
13 & 0.371565113373864 & 0.743130226747728 & 0.628434886626136 \tabularnewline
14 & 0.358086963475455 & 0.71617392695091 & 0.641913036524545 \tabularnewline
15 & 0.683155161297238 & 0.633689677405524 & 0.316844838702762 \tabularnewline
16 & 0.63920787670714 & 0.72158424658572 & 0.36079212329286 \tabularnewline
17 & 0.605564274592506 & 0.788871450814988 & 0.394435725407494 \tabularnewline
18 & 0.520808648574613 & 0.958382702850773 & 0.479191351425387 \tabularnewline
19 & 0.811792571928302 & 0.376414856143397 & 0.188207428071698 \tabularnewline
20 & 0.869726805971636 & 0.260546388056729 & 0.130273194028364 \tabularnewline
21 & 0.867230365993464 & 0.265539268013071 & 0.132769634006536 \tabularnewline
22 & 0.840103151052008 & 0.319793697895984 & 0.159896848947992 \tabularnewline
23 & 0.820617380308685 & 0.358765239382631 & 0.179382619691315 \tabularnewline
24 & 0.79385913297522 & 0.41228173404956 & 0.20614086702478 \tabularnewline
25 & 0.951192406888035 & 0.0976151862239306 & 0.0488075931119653 \tabularnewline
26 & 0.939640673166155 & 0.12071865366769 & 0.0603593268338448 \tabularnewline
27 & 0.922623958422494 & 0.154752083155012 & 0.0773760415775059 \tabularnewline
28 & 0.918946192537132 & 0.162107614925736 & 0.0810538074628681 \tabularnewline
29 & 0.918582348251141 & 0.162835303497717 & 0.0814176517488585 \tabularnewline
30 & 0.903795296061327 & 0.192409407877345 & 0.0962047039386726 \tabularnewline
31 & 0.883126699271517 & 0.233746601456966 & 0.116873300728483 \tabularnewline
32 & 0.888601153453546 & 0.222797693092908 & 0.111398846546454 \tabularnewline
33 & 0.874988624440491 & 0.250022751119018 & 0.125011375559509 \tabularnewline
34 & 0.941597149488486 & 0.116805701023029 & 0.0584028505115144 \tabularnewline
35 & 0.974653152143503 & 0.0506936957129937 & 0.0253468478564969 \tabularnewline
36 & 0.96637333013439 & 0.0672533397312209 & 0.0336266698656104 \tabularnewline
37 & 0.962740543142239 & 0.0745189137155216 & 0.0372594568577608 \tabularnewline
38 & 0.953443467781572 & 0.0931130644368569 & 0.0465565322184285 \tabularnewline
39 & 0.946301685569893 & 0.107396628860214 & 0.053698314430107 \tabularnewline
40 & 0.955944439763075 & 0.0881111204738501 & 0.0440555602369251 \tabularnewline
41 & 0.949192204610123 & 0.101615590779753 & 0.0508077953898767 \tabularnewline
42 & 0.944110335351525 & 0.11177932929695 & 0.0558896646484748 \tabularnewline
43 & 0.946001627459436 & 0.107996745081128 & 0.053998372540564 \tabularnewline
44 & 0.933089865939501 & 0.133820268120997 & 0.0669101340604985 \tabularnewline
45 & 0.919726905333884 & 0.160546189332232 & 0.0802730946661158 \tabularnewline
46 & 0.907566771520379 & 0.184866456959241 & 0.0924332284796206 \tabularnewline
47 & 0.888402427553473 & 0.223195144893053 & 0.111597572446527 \tabularnewline
48 & 0.865307606993373 & 0.269384786013254 & 0.134692393006627 \tabularnewline
49 & 0.848552326433361 & 0.302895347133278 & 0.151447673566639 \tabularnewline
50 & 0.897671543541508 & 0.204656912916983 & 0.102328456458492 \tabularnewline
51 & 0.880933622399743 & 0.238132755200514 & 0.119066377600257 \tabularnewline
52 & 0.869863116611896 & 0.260273766776207 & 0.130136883388104 \tabularnewline
53 & 0.892684710274652 & 0.214630579450696 & 0.107315289725348 \tabularnewline
54 & 0.872536784928181 & 0.254926430143638 & 0.127463215071819 \tabularnewline
55 & 0.869748226970098 & 0.260503546059804 & 0.130251773029902 \tabularnewline
56 & 0.848483684344218 & 0.303032631311564 & 0.151516315655782 \tabularnewline
57 & 0.847490243789099 & 0.305019512421801 & 0.152509756210901 \tabularnewline
58 & 0.838698067892933 & 0.322603864214135 & 0.161301932107067 \tabularnewline
59 & 0.82431102897185 & 0.351377942056299 & 0.17568897102815 \tabularnewline
60 & 0.807511235041781 & 0.384977529916438 & 0.192488764958219 \tabularnewline
61 & 0.780017211162528 & 0.439965577674945 & 0.219982788837472 \tabularnewline
62 & 0.803215731945815 & 0.393568536108371 & 0.196784268054186 \tabularnewline
63 & 0.909767250371586 & 0.180465499256828 & 0.0902327496284142 \tabularnewline
64 & 0.89190727258776 & 0.21618545482448 & 0.10809272741224 \tabularnewline
65 & 0.936623156496445 & 0.126753687007109 & 0.0633768435035546 \tabularnewline
66 & 0.925635305925572 & 0.148729388148857 & 0.0743646940744285 \tabularnewline
67 & 0.912068551007155 & 0.17586289798569 & 0.0879314489928452 \tabularnewline
68 & 0.898278232055654 & 0.203443535888691 & 0.101721767944346 \tabularnewline
69 & 0.986562939375474 & 0.0268741212490529 & 0.0134370606245265 \tabularnewline
70 & 0.982869335172337 & 0.0342613296553261 & 0.017130664827663 \tabularnewline
71 & 0.979974599325015 & 0.0400508013499697 & 0.0200254006749849 \tabularnewline
72 & 0.975819395563038 & 0.0483612088739241 & 0.0241806044369621 \tabularnewline
73 & 0.972317927291428 & 0.0553641454171436 & 0.0276820727085718 \tabularnewline
74 & 0.966560007457105 & 0.0668799850857904 & 0.0334399925428952 \tabularnewline
75 & 0.967697262925595 & 0.0646054741488109 & 0.0323027370744055 \tabularnewline
76 & 0.96281622035391 & 0.0743675592921794 & 0.0371837796460897 \tabularnewline
77 & 0.95536094120828 & 0.0892781175834398 & 0.0446390587917199 \tabularnewline
78 & 0.979540448885866 & 0.0409191022282672 & 0.0204595511141336 \tabularnewline
79 & 0.978104724873733 & 0.0437905502525332 & 0.0218952751262666 \tabularnewline
80 & 0.994194001223612 & 0.0116119975527759 & 0.00580599877638793 \tabularnewline
81 & 0.994191163855626 & 0.0116176722887483 & 0.00580883614437414 \tabularnewline
82 & 0.995926283569912 & 0.00814743286017616 & 0.00407371643008808 \tabularnewline
83 & 0.994734740810388 & 0.0105305183792235 & 0.00526525918961177 \tabularnewline
84 & 0.993466830459092 & 0.0130663390818164 & 0.00653316954090821 \tabularnewline
85 & 0.99429185212901 & 0.0114162957419802 & 0.00570814787099008 \tabularnewline
86 & 0.995168338119849 & 0.00966332376030157 & 0.00483166188015078 \tabularnewline
87 & 0.994737316496539 & 0.0105253670069225 & 0.00526268350346125 \tabularnewline
88 & 0.993264029276285 & 0.0134719414474304 & 0.00673597072371519 \tabularnewline
89 & 0.992848722502171 & 0.014302554995658 & 0.00715127749782899 \tabularnewline
90 & 0.994367372463438 & 0.0112652550731238 & 0.00563262753656191 \tabularnewline
91 & 0.99560764323689 & 0.00878471352621976 & 0.00439235676310988 \tabularnewline
92 & 0.997208940609836 & 0.00558211878032759 & 0.0027910593901638 \tabularnewline
93 & 0.996692904374728 & 0.00661419125054338 & 0.00330709562527169 \tabularnewline
94 & 0.996503656124321 & 0.00699268775135847 & 0.00349634387567923 \tabularnewline
95 & 0.996017776720732 & 0.00796444655853653 & 0.00398222327926827 \tabularnewline
96 & 0.994984728740602 & 0.0100305425187969 & 0.00501527125939847 \tabularnewline
97 & 0.993549194840178 & 0.0129016103196431 & 0.00645080515982155 \tabularnewline
98 & 0.993752033175218 & 0.0124959336495646 & 0.0062479668247823 \tabularnewline
99 & 0.992689930356408 & 0.0146201392871837 & 0.00731006964359184 \tabularnewline
100 & 0.991801892066362 & 0.0163962158672758 & 0.00819810793363789 \tabularnewline
101 & 0.989705660551681 & 0.0205886788966371 & 0.0102943394483186 \tabularnewline
102 & 0.990830957743708 & 0.0183380845125848 & 0.0091690422562924 \tabularnewline
103 & 0.989000974374372 & 0.0219980512512563 & 0.0109990256256282 \tabularnewline
104 & 0.986432685614398 & 0.0271346287712037 & 0.0135673143856018 \tabularnewline
105 & 0.985027669531928 & 0.029944660936143 & 0.0149723304680715 \tabularnewline
106 & 0.991956270958763 & 0.0160874580824745 & 0.00804372904123725 \tabularnewline
107 & 0.99956877790892 & 0.000862444182159494 & 0.000431222091079747 \tabularnewline
108 & 0.999506989412752 & 0.000986021174496231 & 0.000493010587248115 \tabularnewline
109 & 0.999966044905673 & 6.79101886540898e-05 & 3.39550943270449e-05 \tabularnewline
110 & 0.999975706190404 & 4.85876191913025e-05 & 2.42938095956513e-05 \tabularnewline
111 & 0.999971458349778 & 5.70833004438705e-05 & 2.85416502219353e-05 \tabularnewline
112 & 0.999969509623577 & 6.09807528465277e-05 & 3.04903764232638e-05 \tabularnewline
113 & 0.999962374629347 & 7.52507413061382e-05 & 3.76253706530691e-05 \tabularnewline
114 & 0.99998447131979 & 3.10573604204524e-05 & 1.55286802102262e-05 \tabularnewline
115 & 0.999990433005865 & 1.91339882701807e-05 & 9.56699413509035e-06 \tabularnewline
116 & 0.999986282302891 & 2.74353942182868e-05 & 1.37176971091434e-05 \tabularnewline
117 & 0.999980046547355 & 3.99069052899379e-05 & 1.9953452644969e-05 \tabularnewline
118 & 0.999979068689179 & 4.18626216413141e-05 & 2.09313108206571e-05 \tabularnewline
119 & 0.999993883462914 & 1.2233074172094e-05 & 6.11653708604699e-06 \tabularnewline
120 & 0.999992446288514 & 1.51074229729443e-05 & 7.55371148647215e-06 \tabularnewline
121 & 0.999989957848041 & 2.008430391826e-05 & 1.004215195913e-05 \tabularnewline
122 & 0.99998810369398 & 2.37926120407629e-05 & 1.18963060203814e-05 \tabularnewline
123 & 0.999983151705826 & 3.3696588347304e-05 & 1.6848294173652e-05 \tabularnewline
124 & 0.999977671105253 & 4.46577894940338e-05 & 2.23288947470169e-05 \tabularnewline
125 & 0.99996811925752 & 6.37614849590677e-05 & 3.18807424795339e-05 \tabularnewline
126 & 0.99995818816813 & 8.36236637401495e-05 & 4.18118318700748e-05 \tabularnewline
127 & 0.999949585210494 & 0.000100829579011521 & 5.04147895057606e-05 \tabularnewline
128 & 0.999943783456807 & 0.000112433086385341 & 5.62165431926706e-05 \tabularnewline
129 & 0.999921000347015 & 0.000157999305969719 & 7.89996529848596e-05 \tabularnewline
130 & 0.999936091289298 & 0.000127817421404867 & 6.39087107024333e-05 \tabularnewline
131 & 0.99991439060596 & 0.000171218788079879 & 8.56093940399397e-05 \tabularnewline
132 & 0.999881038613012 & 0.000237922773974978 & 0.000118961386987489 \tabularnewline
133 & 0.999857071910057 & 0.000285856179886326 & 0.000142928089943163 \tabularnewline
134 & 0.999881581864441 & 0.000236836271117477 & 0.000118418135558739 \tabularnewline
135 & 0.999920978644666 & 0.000158042710667666 & 7.90213553338332e-05 \tabularnewline
136 & 0.999974317934105 & 5.1364131790775e-05 & 2.56820658953875e-05 \tabularnewline
137 & 0.999977862491621 & 4.42750167577283e-05 & 2.21375083788641e-05 \tabularnewline
138 & 0.999993278125719 & 1.34437485625646e-05 & 6.72187428128228e-06 \tabularnewline
139 & 0.999991878740149 & 1.62425197017408e-05 & 8.12125985087038e-06 \tabularnewline
140 & 0.999992990283082 & 1.40194338356641e-05 & 7.00971691783204e-06 \tabularnewline
141 & 0.999989951588721 & 2.00968225582097e-05 & 1.00484112791048e-05 \tabularnewline
142 & 0.999987901084944 & 2.41978301129126e-05 & 1.20989150564563e-05 \tabularnewline
143 & 0.999983031107062 & 3.39377858768081e-05 & 1.69688929384041e-05 \tabularnewline
144 & 0.999979294822365 & 4.14103552690971e-05 & 2.07051776345485e-05 \tabularnewline
145 & 0.999988788520455 & 2.24229590903841e-05 & 1.1211479545192e-05 \tabularnewline
146 & 0.999984020062003 & 3.1959875993099e-05 & 1.59799379965495e-05 \tabularnewline
147 & 0.999992442657587 & 1.51146848265813e-05 & 7.55734241329065e-06 \tabularnewline
148 & 0.999990875092336 & 1.82498153287769e-05 & 9.12490766438843e-06 \tabularnewline
149 & 0.999987813105958 & 2.43737880839538e-05 & 1.21868940419769e-05 \tabularnewline
150 & 0.999995243776885 & 9.51244622990641e-06 & 4.7562231149532e-06 \tabularnewline
151 & 0.999997784399866 & 4.43120026829642e-06 & 2.21560013414821e-06 \tabularnewline
152 & 0.99999945285593 & 1.09428813961181e-06 & 5.47144069805907e-07 \tabularnewline
153 & 0.999999354177516 & 1.29164496867081e-06 & 6.45822484335403e-07 \tabularnewline
154 & 0.999999238836521 & 1.52232695733538e-06 & 7.61163478667692e-07 \tabularnewline
155 & 0.999998885539008 & 2.22892198317161e-06 & 1.11446099158581e-06 \tabularnewline
156 & 0.999998962056685 & 2.07588662927236e-06 & 1.03794331463618e-06 \tabularnewline
157 & 0.99999946341298 & 1.07317404020466e-06 & 5.36587020102329e-07 \tabularnewline
158 & 0.999999257324527 & 1.4853509463553e-06 & 7.4267547317765e-07 \tabularnewline
159 & 0.999999167394905 & 1.66521018948282e-06 & 8.32605094741409e-07 \tabularnewline
160 & 0.999999217672457 & 1.56465508548784e-06 & 7.82327542743921e-07 \tabularnewline
161 & 0.999998835163455 & 2.32967308967566e-06 & 1.16483654483783e-06 \tabularnewline
162 & 0.999998867952777 & 2.26409444635232e-06 & 1.13204722317616e-06 \tabularnewline
163 & 0.999998331262051 & 3.33747589764902e-06 & 1.66873794882451e-06 \tabularnewline
164 & 0.999997486062888 & 5.02787422448521e-06 & 2.5139371122426e-06 \tabularnewline
165 & 0.999997077141403 & 5.84571719456822e-06 & 2.92285859728411e-06 \tabularnewline
166 & 0.999997561249051 & 4.87750189855876e-06 & 2.43875094927938e-06 \tabularnewline
167 & 0.999997016458313 & 5.96708337470157e-06 & 2.98354168735079e-06 \tabularnewline
168 & 0.999999095908419 & 1.80818316137625e-06 & 9.04091580688124e-07 \tabularnewline
169 & 0.999998662703509 & 2.67459298107317e-06 & 1.33729649053658e-06 \tabularnewline
170 & 0.999999533718276 & 9.3256344702697e-07 & 4.66281723513485e-07 \tabularnewline
171 & 0.999999593389644 & 8.13220712622021e-07 & 4.0661035631101e-07 \tabularnewline
172 & 0.99999939442361 & 1.21115277970522e-06 & 6.05576389852612e-07 \tabularnewline
173 & 0.99999915750181 & 1.68499637940291e-06 & 8.42498189701455e-07 \tabularnewline
174 & 0.999998681068552 & 2.63786289496382e-06 & 1.31893144748191e-06 \tabularnewline
175 & 0.99999994487357 & 1.1025285896398e-07 & 5.51264294819898e-08 \tabularnewline
176 & 0.999999935761536 & 1.28476928273267e-07 & 6.42384641366337e-08 \tabularnewline
177 & 0.999999901534256 & 1.96931488422055e-07 & 9.84657442110277e-08 \tabularnewline
178 & 0.999999856945493 & 2.86109013543652e-07 & 1.43054506771826e-07 \tabularnewline
179 & 0.999999841282691 & 3.17434618637459e-07 & 1.5871730931873e-07 \tabularnewline
180 & 0.999999789165559 & 4.21668881495462e-07 & 2.10834440747731e-07 \tabularnewline
181 & 0.999999864953972 & 2.70092055791878e-07 & 1.35046027895939e-07 \tabularnewline
182 & 0.999999786169324 & 4.27661352276658e-07 & 2.13830676138329e-07 \tabularnewline
183 & 0.999999820914779 & 3.58170441688791e-07 & 1.79085220844395e-07 \tabularnewline
184 & 0.999999726117395 & 5.47765209148735e-07 & 2.73882604574368e-07 \tabularnewline
185 & 0.999999639606418 & 7.20787163191241e-07 & 3.60393581595621e-07 \tabularnewline
186 & 0.999999636782242 & 7.2643551550972e-07 & 3.6321775775486e-07 \tabularnewline
187 & 0.999999601018636 & 7.97962728684918e-07 & 3.98981364342459e-07 \tabularnewline
188 & 0.999999594046289 & 8.11907422841141e-07 & 4.0595371142057e-07 \tabularnewline
189 & 0.999999347255418 & 1.30548916368006e-06 & 6.5274458184003e-07 \tabularnewline
190 & 0.999998960373747 & 2.07925250550717e-06 & 1.03962625275358e-06 \tabularnewline
191 & 0.999999477691887 & 1.0446162257478e-06 & 5.22308112873901e-07 \tabularnewline
192 & 0.999999155719474 & 1.6885610518884e-06 & 8.44280525944198e-07 \tabularnewline
193 & 0.999998860754088 & 2.27849182335136e-06 & 1.13924591167568e-06 \tabularnewline
194 & 0.999999101872119 & 1.79625576094468e-06 & 8.9812788047234e-07 \tabularnewline
195 & 0.999998880170904 & 2.2396581915011e-06 & 1.11982909575055e-06 \tabularnewline
196 & 0.999998592079507 & 2.81584098684239e-06 & 1.4079204934212e-06 \tabularnewline
197 & 0.999998911187717 & 2.17762456558166e-06 & 1.08881228279083e-06 \tabularnewline
198 & 0.999998446629522 & 3.1067409552372e-06 & 1.5533704776186e-06 \tabularnewline
199 & 0.999998042548342 & 3.91490331565206e-06 & 1.95745165782603e-06 \tabularnewline
200 & 0.999996901231889 & 6.19753622106221e-06 & 3.09876811053111e-06 \tabularnewline
201 & 0.999995079431032 & 9.84113793655667e-06 & 4.92056896827833e-06 \tabularnewline
202 & 0.999993268823579 & 1.34623528423671e-05 & 6.73117642118356e-06 \tabularnewline
203 & 0.999989423406946 & 2.11531861082998e-05 & 1.05765930541499e-05 \tabularnewline
204 & 0.999984332710243 & 3.13345795132135e-05 & 1.56672897566067e-05 \tabularnewline
205 & 0.999977490936865 & 4.50181262690983e-05 & 2.25090631345491e-05 \tabularnewline
206 & 0.999966256932656 & 6.74861346872277e-05 & 3.37430673436138e-05 \tabularnewline
207 & 0.999953048681508 & 9.39026369841834e-05 & 4.69513184920917e-05 \tabularnewline
208 & 0.999945766613357 & 0.000108466773285661 & 5.42333866428305e-05 \tabularnewline
209 & 0.999922609477286 & 0.00015478104542839 & 7.73905227141949e-05 \tabularnewline
210 & 0.999954712131658 & 9.05757366832983e-05 & 4.52878683416491e-05 \tabularnewline
211 & 0.999957283959569 & 8.54320808613449e-05 & 4.27160404306725e-05 \tabularnewline
212 & 0.999936480890682 & 0.000127038218635912 & 6.3519109317956e-05 \tabularnewline
213 & 0.999916742325114 & 0.00016651534977182 & 8.32576748859098e-05 \tabularnewline
214 & 0.999900772552765 & 0.000198454894469484 & 9.92274472347421e-05 \tabularnewline
215 & 0.999894860631698 & 0.000210278736604025 & 0.000105139368302013 \tabularnewline
216 & 0.999990492491174 & 1.90150176516391e-05 & 9.50750882581956e-06 \tabularnewline
217 & 0.999985664460451 & 2.86710790983578e-05 & 1.43355395491789e-05 \tabularnewline
218 & 0.999977212050046 & 4.55758999079485e-05 & 2.27879499539743e-05 \tabularnewline
219 & 0.999963982844862 & 7.20343102758262e-05 & 3.60171551379131e-05 \tabularnewline
220 & 0.999958096242382 & 8.38075152360588e-05 & 4.19037576180294e-05 \tabularnewline
221 & 0.999967532305919 & 6.49353881611349e-05 & 3.24676940805675e-05 \tabularnewline
222 & 0.999968239268631 & 6.35214627375285e-05 & 3.17607313687642e-05 \tabularnewline
223 & 0.999949500896182 & 0.000100998207635302 & 5.04991038176511e-05 \tabularnewline
224 & 0.99993837386474 & 0.000123252270519212 & 6.16261352596059e-05 \tabularnewline
225 & 0.999940066328255 & 0.000119867343489562 & 5.9933671744781e-05 \tabularnewline
226 & 0.999981141961657 & 3.77160766867836e-05 & 1.88580383433918e-05 \tabularnewline
227 & 0.999997689805561 & 4.62038887713844e-06 & 2.31019443856922e-06 \tabularnewline
228 & 0.999996565897074 & 6.86820585204459e-06 & 3.43410292602229e-06 \tabularnewline
229 & 0.999994771926352 & 1.04561472956677e-05 & 5.22807364783387e-06 \tabularnewline
230 & 0.999999017457166 & 1.96508566806164e-06 & 9.8254283403082e-07 \tabularnewline
231 & 0.99999971156092 & 5.76878159950908e-07 & 2.88439079975454e-07 \tabularnewline
232 & 0.999999466652365 & 1.06669527047028e-06 & 5.33347635235142e-07 \tabularnewline
233 & 0.999999017073574 & 1.96585285205003e-06 & 9.82926426025015e-07 \tabularnewline
234 & 0.999998436579364 & 3.12684127190232e-06 & 1.56342063595116e-06 \tabularnewline
235 & 0.999997138742567 & 5.72251486602895e-06 & 2.86125743301447e-06 \tabularnewline
236 & 0.999996319897502 & 7.36020499545391e-06 & 3.68010249772696e-06 \tabularnewline
237 & 0.999996593393791 & 6.81321241848822e-06 & 3.40660620924411e-06 \tabularnewline
238 & 0.999997124226782 & 5.75154643636988e-06 & 2.87577321818494e-06 \tabularnewline
239 & 0.999994644560873 & 1.07108782539752e-05 & 5.35543912698758e-06 \tabularnewline
240 & 0.999993888026809 & 1.22239463817069e-05 & 6.11197319085344e-06 \tabularnewline
241 & 0.999993403388605 & 1.31932227896473e-05 & 6.59661139482366e-06 \tabularnewline
242 & 0.999987972624289 & 2.4054751421313e-05 & 1.20273757106565e-05 \tabularnewline
243 & 0.99998326691337 & 3.34661732595702e-05 & 1.67330866297851e-05 \tabularnewline
244 & 0.999978628136095 & 4.27437278095061e-05 & 2.1371863904753e-05 \tabularnewline
245 & 0.999962191672016 & 7.56166559669668e-05 & 3.78083279834834e-05 \tabularnewline
246 & 0.999936499570843 & 0.000127000858314939 & 6.35004291574697e-05 \tabularnewline
247 & 0.999905108742375 & 0.000189782515249877 & 9.48912576249386e-05 \tabularnewline
248 & 0.999840547624832 & 0.00031890475033683 & 0.000159452375168415 \tabularnewline
249 & 0.999790231190665 & 0.000419537618669424 & 0.000209768809334712 \tabularnewline
250 & 0.999804871670946 & 0.000390256658108563 & 0.000195128329054282 \tabularnewline
251 & 0.999678253822975 & 0.000643492354049572 & 0.000321746177024786 \tabularnewline
252 & 0.999458391088761 & 0.00108321782247715 & 0.000541608911238577 \tabularnewline
253 & 0.999360592788064 & 0.00127881442387239 & 0.000639407211936194 \tabularnewline
254 & 0.999256811878017 & 0.00148637624396526 & 0.000743188121982631 \tabularnewline
255 & 0.999088852595831 & 0.00182229480833739 & 0.000911147404168696 \tabularnewline
256 & 0.998899960686036 & 0.00220007862792731 & 0.00110003931396366 \tabularnewline
257 & 0.998146177584561 & 0.00370764483087721 & 0.0018538224154386 \tabularnewline
258 & 0.996903480918594 & 0.00619303816281201 & 0.00309651908140601 \tabularnewline
259 & 0.995442037703289 & 0.00911592459342202 & 0.00455796229671101 \tabularnewline
260 & 0.992789560200631 & 0.0144208795987373 & 0.00721043979936863 \tabularnewline
261 & 0.988788441989944 & 0.0224231160201119 & 0.0112115580100559 \tabularnewline
262 & 0.989448171109083 & 0.0211036577818333 & 0.0105518288909166 \tabularnewline
263 & 0.983803445613182 & 0.0323931087736352 & 0.0161965543868176 \tabularnewline
264 & 0.976733817105079 & 0.0465323657898421 & 0.023266182894921 \tabularnewline
265 & 0.980478712121978 & 0.0390425757560446 & 0.0195212878780223 \tabularnewline
266 & 0.97778414912056 & 0.0444317017588799 & 0.02221585087944 \tabularnewline
267 & 0.980890984543095 & 0.0382180309138099 & 0.019109015456905 \tabularnewline
268 & 0.972523995053428 & 0.0549520098931439 & 0.027476004946572 \tabularnewline
269 & 0.972834709351996 & 0.0543305812960072 & 0.0271652906480036 \tabularnewline
270 & 0.955334671243406 & 0.0893306575131882 & 0.0446653287565941 \tabularnewline
271 & 0.931910829985836 & 0.136178340028329 & 0.0680891700141645 \tabularnewline
272 & 0.93674426439437 & 0.12651147121126 & 0.0632557356056302 \tabularnewline
273 & 0.9162065495644 & 0.167586900871201 & 0.0837934504356003 \tabularnewline
274 & 0.867207287978298 & 0.265585424043405 & 0.132792712021702 \tabularnewline
275 & 0.829052028354574 & 0.341895943290852 & 0.170947971645426 \tabularnewline
276 & 0.764624510981371 & 0.470750978037258 & 0.235375489018629 \tabularnewline
277 & 0.677173602850106 & 0.645652794299788 & 0.322826397149894 \tabularnewline
278 & 0.635758303248867 & 0.728483393502266 & 0.364241696751133 \tabularnewline
279 & 0.505344475899744 & 0.989311048200512 & 0.494655524100256 \tabularnewline
280 & 0.344615160478898 & 0.689230320957797 & 0.655384839521102 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153505&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]9[/C][C]0.189493348498216[/C][C]0.378986696996433[/C][C]0.810506651501784[/C][/ROW]
[ROW][C]10[/C][C]0.0843157765766721[/C][C]0.168631553153344[/C][C]0.915684223423328[/C][/ROW]
[ROW][C]11[/C][C]0.0496327289302271[/C][C]0.0992654578604542[/C][C]0.950367271069773[/C][/ROW]
[ROW][C]12[/C][C]0.183676823784571[/C][C]0.367353647569142[/C][C]0.816323176215429[/C][/ROW]
[ROW][C]13[/C][C]0.371565113373864[/C][C]0.743130226747728[/C][C]0.628434886626136[/C][/ROW]
[ROW][C]14[/C][C]0.358086963475455[/C][C]0.71617392695091[/C][C]0.641913036524545[/C][/ROW]
[ROW][C]15[/C][C]0.683155161297238[/C][C]0.633689677405524[/C][C]0.316844838702762[/C][/ROW]
[ROW][C]16[/C][C]0.63920787670714[/C][C]0.72158424658572[/C][C]0.36079212329286[/C][/ROW]
[ROW][C]17[/C][C]0.605564274592506[/C][C]0.788871450814988[/C][C]0.394435725407494[/C][/ROW]
[ROW][C]18[/C][C]0.520808648574613[/C][C]0.958382702850773[/C][C]0.479191351425387[/C][/ROW]
[ROW][C]19[/C][C]0.811792571928302[/C][C]0.376414856143397[/C][C]0.188207428071698[/C][/ROW]
[ROW][C]20[/C][C]0.869726805971636[/C][C]0.260546388056729[/C][C]0.130273194028364[/C][/ROW]
[ROW][C]21[/C][C]0.867230365993464[/C][C]0.265539268013071[/C][C]0.132769634006536[/C][/ROW]
[ROW][C]22[/C][C]0.840103151052008[/C][C]0.319793697895984[/C][C]0.159896848947992[/C][/ROW]
[ROW][C]23[/C][C]0.820617380308685[/C][C]0.358765239382631[/C][C]0.179382619691315[/C][/ROW]
[ROW][C]24[/C][C]0.79385913297522[/C][C]0.41228173404956[/C][C]0.20614086702478[/C][/ROW]
[ROW][C]25[/C][C]0.951192406888035[/C][C]0.0976151862239306[/C][C]0.0488075931119653[/C][/ROW]
[ROW][C]26[/C][C]0.939640673166155[/C][C]0.12071865366769[/C][C]0.0603593268338448[/C][/ROW]
[ROW][C]27[/C][C]0.922623958422494[/C][C]0.154752083155012[/C][C]0.0773760415775059[/C][/ROW]
[ROW][C]28[/C][C]0.918946192537132[/C][C]0.162107614925736[/C][C]0.0810538074628681[/C][/ROW]
[ROW][C]29[/C][C]0.918582348251141[/C][C]0.162835303497717[/C][C]0.0814176517488585[/C][/ROW]
[ROW][C]30[/C][C]0.903795296061327[/C][C]0.192409407877345[/C][C]0.0962047039386726[/C][/ROW]
[ROW][C]31[/C][C]0.883126699271517[/C][C]0.233746601456966[/C][C]0.116873300728483[/C][/ROW]
[ROW][C]32[/C][C]0.888601153453546[/C][C]0.222797693092908[/C][C]0.111398846546454[/C][/ROW]
[ROW][C]33[/C][C]0.874988624440491[/C][C]0.250022751119018[/C][C]0.125011375559509[/C][/ROW]
[ROW][C]34[/C][C]0.941597149488486[/C][C]0.116805701023029[/C][C]0.0584028505115144[/C][/ROW]
[ROW][C]35[/C][C]0.974653152143503[/C][C]0.0506936957129937[/C][C]0.0253468478564969[/C][/ROW]
[ROW][C]36[/C][C]0.96637333013439[/C][C]0.0672533397312209[/C][C]0.0336266698656104[/C][/ROW]
[ROW][C]37[/C][C]0.962740543142239[/C][C]0.0745189137155216[/C][C]0.0372594568577608[/C][/ROW]
[ROW][C]38[/C][C]0.953443467781572[/C][C]0.0931130644368569[/C][C]0.0465565322184285[/C][/ROW]
[ROW][C]39[/C][C]0.946301685569893[/C][C]0.107396628860214[/C][C]0.053698314430107[/C][/ROW]
[ROW][C]40[/C][C]0.955944439763075[/C][C]0.0881111204738501[/C][C]0.0440555602369251[/C][/ROW]
[ROW][C]41[/C][C]0.949192204610123[/C][C]0.101615590779753[/C][C]0.0508077953898767[/C][/ROW]
[ROW][C]42[/C][C]0.944110335351525[/C][C]0.11177932929695[/C][C]0.0558896646484748[/C][/ROW]
[ROW][C]43[/C][C]0.946001627459436[/C][C]0.107996745081128[/C][C]0.053998372540564[/C][/ROW]
[ROW][C]44[/C][C]0.933089865939501[/C][C]0.133820268120997[/C][C]0.0669101340604985[/C][/ROW]
[ROW][C]45[/C][C]0.919726905333884[/C][C]0.160546189332232[/C][C]0.0802730946661158[/C][/ROW]
[ROW][C]46[/C][C]0.907566771520379[/C][C]0.184866456959241[/C][C]0.0924332284796206[/C][/ROW]
[ROW][C]47[/C][C]0.888402427553473[/C][C]0.223195144893053[/C][C]0.111597572446527[/C][/ROW]
[ROW][C]48[/C][C]0.865307606993373[/C][C]0.269384786013254[/C][C]0.134692393006627[/C][/ROW]
[ROW][C]49[/C][C]0.848552326433361[/C][C]0.302895347133278[/C][C]0.151447673566639[/C][/ROW]
[ROW][C]50[/C][C]0.897671543541508[/C][C]0.204656912916983[/C][C]0.102328456458492[/C][/ROW]
[ROW][C]51[/C][C]0.880933622399743[/C][C]0.238132755200514[/C][C]0.119066377600257[/C][/ROW]
[ROW][C]52[/C][C]0.869863116611896[/C][C]0.260273766776207[/C][C]0.130136883388104[/C][/ROW]
[ROW][C]53[/C][C]0.892684710274652[/C][C]0.214630579450696[/C][C]0.107315289725348[/C][/ROW]
[ROW][C]54[/C][C]0.872536784928181[/C][C]0.254926430143638[/C][C]0.127463215071819[/C][/ROW]
[ROW][C]55[/C][C]0.869748226970098[/C][C]0.260503546059804[/C][C]0.130251773029902[/C][/ROW]
[ROW][C]56[/C][C]0.848483684344218[/C][C]0.303032631311564[/C][C]0.151516315655782[/C][/ROW]
[ROW][C]57[/C][C]0.847490243789099[/C][C]0.305019512421801[/C][C]0.152509756210901[/C][/ROW]
[ROW][C]58[/C][C]0.838698067892933[/C][C]0.322603864214135[/C][C]0.161301932107067[/C][/ROW]
[ROW][C]59[/C][C]0.82431102897185[/C][C]0.351377942056299[/C][C]0.17568897102815[/C][/ROW]
[ROW][C]60[/C][C]0.807511235041781[/C][C]0.384977529916438[/C][C]0.192488764958219[/C][/ROW]
[ROW][C]61[/C][C]0.780017211162528[/C][C]0.439965577674945[/C][C]0.219982788837472[/C][/ROW]
[ROW][C]62[/C][C]0.803215731945815[/C][C]0.393568536108371[/C][C]0.196784268054186[/C][/ROW]
[ROW][C]63[/C][C]0.909767250371586[/C][C]0.180465499256828[/C][C]0.0902327496284142[/C][/ROW]
[ROW][C]64[/C][C]0.89190727258776[/C][C]0.21618545482448[/C][C]0.10809272741224[/C][/ROW]
[ROW][C]65[/C][C]0.936623156496445[/C][C]0.126753687007109[/C][C]0.0633768435035546[/C][/ROW]
[ROW][C]66[/C][C]0.925635305925572[/C][C]0.148729388148857[/C][C]0.0743646940744285[/C][/ROW]
[ROW][C]67[/C][C]0.912068551007155[/C][C]0.17586289798569[/C][C]0.0879314489928452[/C][/ROW]
[ROW][C]68[/C][C]0.898278232055654[/C][C]0.203443535888691[/C][C]0.101721767944346[/C][/ROW]
[ROW][C]69[/C][C]0.986562939375474[/C][C]0.0268741212490529[/C][C]0.0134370606245265[/C][/ROW]
[ROW][C]70[/C][C]0.982869335172337[/C][C]0.0342613296553261[/C][C]0.017130664827663[/C][/ROW]
[ROW][C]71[/C][C]0.979974599325015[/C][C]0.0400508013499697[/C][C]0.0200254006749849[/C][/ROW]
[ROW][C]72[/C][C]0.975819395563038[/C][C]0.0483612088739241[/C][C]0.0241806044369621[/C][/ROW]
[ROW][C]73[/C][C]0.972317927291428[/C][C]0.0553641454171436[/C][C]0.0276820727085718[/C][/ROW]
[ROW][C]74[/C][C]0.966560007457105[/C][C]0.0668799850857904[/C][C]0.0334399925428952[/C][/ROW]
[ROW][C]75[/C][C]0.967697262925595[/C][C]0.0646054741488109[/C][C]0.0323027370744055[/C][/ROW]
[ROW][C]76[/C][C]0.96281622035391[/C][C]0.0743675592921794[/C][C]0.0371837796460897[/C][/ROW]
[ROW][C]77[/C][C]0.95536094120828[/C][C]0.0892781175834398[/C][C]0.0446390587917199[/C][/ROW]
[ROW][C]78[/C][C]0.979540448885866[/C][C]0.0409191022282672[/C][C]0.0204595511141336[/C][/ROW]
[ROW][C]79[/C][C]0.978104724873733[/C][C]0.0437905502525332[/C][C]0.0218952751262666[/C][/ROW]
[ROW][C]80[/C][C]0.994194001223612[/C][C]0.0116119975527759[/C][C]0.00580599877638793[/C][/ROW]
[ROW][C]81[/C][C]0.994191163855626[/C][C]0.0116176722887483[/C][C]0.00580883614437414[/C][/ROW]
[ROW][C]82[/C][C]0.995926283569912[/C][C]0.00814743286017616[/C][C]0.00407371643008808[/C][/ROW]
[ROW][C]83[/C][C]0.994734740810388[/C][C]0.0105305183792235[/C][C]0.00526525918961177[/C][/ROW]
[ROW][C]84[/C][C]0.993466830459092[/C][C]0.0130663390818164[/C][C]0.00653316954090821[/C][/ROW]
[ROW][C]85[/C][C]0.99429185212901[/C][C]0.0114162957419802[/C][C]0.00570814787099008[/C][/ROW]
[ROW][C]86[/C][C]0.995168338119849[/C][C]0.00966332376030157[/C][C]0.00483166188015078[/C][/ROW]
[ROW][C]87[/C][C]0.994737316496539[/C][C]0.0105253670069225[/C][C]0.00526268350346125[/C][/ROW]
[ROW][C]88[/C][C]0.993264029276285[/C][C]0.0134719414474304[/C][C]0.00673597072371519[/C][/ROW]
[ROW][C]89[/C][C]0.992848722502171[/C][C]0.014302554995658[/C][C]0.00715127749782899[/C][/ROW]
[ROW][C]90[/C][C]0.994367372463438[/C][C]0.0112652550731238[/C][C]0.00563262753656191[/C][/ROW]
[ROW][C]91[/C][C]0.99560764323689[/C][C]0.00878471352621976[/C][C]0.00439235676310988[/C][/ROW]
[ROW][C]92[/C][C]0.997208940609836[/C][C]0.00558211878032759[/C][C]0.0027910593901638[/C][/ROW]
[ROW][C]93[/C][C]0.996692904374728[/C][C]0.00661419125054338[/C][C]0.00330709562527169[/C][/ROW]
[ROW][C]94[/C][C]0.996503656124321[/C][C]0.00699268775135847[/C][C]0.00349634387567923[/C][/ROW]
[ROW][C]95[/C][C]0.996017776720732[/C][C]0.00796444655853653[/C][C]0.00398222327926827[/C][/ROW]
[ROW][C]96[/C][C]0.994984728740602[/C][C]0.0100305425187969[/C][C]0.00501527125939847[/C][/ROW]
[ROW][C]97[/C][C]0.993549194840178[/C][C]0.0129016103196431[/C][C]0.00645080515982155[/C][/ROW]
[ROW][C]98[/C][C]0.993752033175218[/C][C]0.0124959336495646[/C][C]0.0062479668247823[/C][/ROW]
[ROW][C]99[/C][C]0.992689930356408[/C][C]0.0146201392871837[/C][C]0.00731006964359184[/C][/ROW]
[ROW][C]100[/C][C]0.991801892066362[/C][C]0.0163962158672758[/C][C]0.00819810793363789[/C][/ROW]
[ROW][C]101[/C][C]0.989705660551681[/C][C]0.0205886788966371[/C][C]0.0102943394483186[/C][/ROW]
[ROW][C]102[/C][C]0.990830957743708[/C][C]0.0183380845125848[/C][C]0.0091690422562924[/C][/ROW]
[ROW][C]103[/C][C]0.989000974374372[/C][C]0.0219980512512563[/C][C]0.0109990256256282[/C][/ROW]
[ROW][C]104[/C][C]0.986432685614398[/C][C]0.0271346287712037[/C][C]0.0135673143856018[/C][/ROW]
[ROW][C]105[/C][C]0.985027669531928[/C][C]0.029944660936143[/C][C]0.0149723304680715[/C][/ROW]
[ROW][C]106[/C][C]0.991956270958763[/C][C]0.0160874580824745[/C][C]0.00804372904123725[/C][/ROW]
[ROW][C]107[/C][C]0.99956877790892[/C][C]0.000862444182159494[/C][C]0.000431222091079747[/C][/ROW]
[ROW][C]108[/C][C]0.999506989412752[/C][C]0.000986021174496231[/C][C]0.000493010587248115[/C][/ROW]
[ROW][C]109[/C][C]0.999966044905673[/C][C]6.79101886540898e-05[/C][C]3.39550943270449e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999975706190404[/C][C]4.85876191913025e-05[/C][C]2.42938095956513e-05[/C][/ROW]
[ROW][C]111[/C][C]0.999971458349778[/C][C]5.70833004438705e-05[/C][C]2.85416502219353e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999969509623577[/C][C]6.09807528465277e-05[/C][C]3.04903764232638e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999962374629347[/C][C]7.52507413061382e-05[/C][C]3.76253706530691e-05[/C][/ROW]
[ROW][C]114[/C][C]0.99998447131979[/C][C]3.10573604204524e-05[/C][C]1.55286802102262e-05[/C][/ROW]
[ROW][C]115[/C][C]0.999990433005865[/C][C]1.91339882701807e-05[/C][C]9.56699413509035e-06[/C][/ROW]
[ROW][C]116[/C][C]0.999986282302891[/C][C]2.74353942182868e-05[/C][C]1.37176971091434e-05[/C][/ROW]
[ROW][C]117[/C][C]0.999980046547355[/C][C]3.99069052899379e-05[/C][C]1.9953452644969e-05[/C][/ROW]
[ROW][C]118[/C][C]0.999979068689179[/C][C]4.18626216413141e-05[/C][C]2.09313108206571e-05[/C][/ROW]
[ROW][C]119[/C][C]0.999993883462914[/C][C]1.2233074172094e-05[/C][C]6.11653708604699e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999992446288514[/C][C]1.51074229729443e-05[/C][C]7.55371148647215e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999989957848041[/C][C]2.008430391826e-05[/C][C]1.004215195913e-05[/C][/ROW]
[ROW][C]122[/C][C]0.99998810369398[/C][C]2.37926120407629e-05[/C][C]1.18963060203814e-05[/C][/ROW]
[ROW][C]123[/C][C]0.999983151705826[/C][C]3.3696588347304e-05[/C][C]1.6848294173652e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999977671105253[/C][C]4.46577894940338e-05[/C][C]2.23288947470169e-05[/C][/ROW]
[ROW][C]125[/C][C]0.99996811925752[/C][C]6.37614849590677e-05[/C][C]3.18807424795339e-05[/C][/ROW]
[ROW][C]126[/C][C]0.99995818816813[/C][C]8.36236637401495e-05[/C][C]4.18118318700748e-05[/C][/ROW]
[ROW][C]127[/C][C]0.999949585210494[/C][C]0.000100829579011521[/C][C]5.04147895057606e-05[/C][/ROW]
[ROW][C]128[/C][C]0.999943783456807[/C][C]0.000112433086385341[/C][C]5.62165431926706e-05[/C][/ROW]
[ROW][C]129[/C][C]0.999921000347015[/C][C]0.000157999305969719[/C][C]7.89996529848596e-05[/C][/ROW]
[ROW][C]130[/C][C]0.999936091289298[/C][C]0.000127817421404867[/C][C]6.39087107024333e-05[/C][/ROW]
[ROW][C]131[/C][C]0.99991439060596[/C][C]0.000171218788079879[/C][C]8.56093940399397e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999881038613012[/C][C]0.000237922773974978[/C][C]0.000118961386987489[/C][/ROW]
[ROW][C]133[/C][C]0.999857071910057[/C][C]0.000285856179886326[/C][C]0.000142928089943163[/C][/ROW]
[ROW][C]134[/C][C]0.999881581864441[/C][C]0.000236836271117477[/C][C]0.000118418135558739[/C][/ROW]
[ROW][C]135[/C][C]0.999920978644666[/C][C]0.000158042710667666[/C][C]7.90213553338332e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999974317934105[/C][C]5.1364131790775e-05[/C][C]2.56820658953875e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999977862491621[/C][C]4.42750167577283e-05[/C][C]2.21375083788641e-05[/C][/ROW]
[ROW][C]138[/C][C]0.999993278125719[/C][C]1.34437485625646e-05[/C][C]6.72187428128228e-06[/C][/ROW]
[ROW][C]139[/C][C]0.999991878740149[/C][C]1.62425197017408e-05[/C][C]8.12125985087038e-06[/C][/ROW]
[ROW][C]140[/C][C]0.999992990283082[/C][C]1.40194338356641e-05[/C][C]7.00971691783204e-06[/C][/ROW]
[ROW][C]141[/C][C]0.999989951588721[/C][C]2.00968225582097e-05[/C][C]1.00484112791048e-05[/C][/ROW]
[ROW][C]142[/C][C]0.999987901084944[/C][C]2.41978301129126e-05[/C][C]1.20989150564563e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999983031107062[/C][C]3.39377858768081e-05[/C][C]1.69688929384041e-05[/C][/ROW]
[ROW][C]144[/C][C]0.999979294822365[/C][C]4.14103552690971e-05[/C][C]2.07051776345485e-05[/C][/ROW]
[ROW][C]145[/C][C]0.999988788520455[/C][C]2.24229590903841e-05[/C][C]1.1211479545192e-05[/C][/ROW]
[ROW][C]146[/C][C]0.999984020062003[/C][C]3.1959875993099e-05[/C][C]1.59799379965495e-05[/C][/ROW]
[ROW][C]147[/C][C]0.999992442657587[/C][C]1.51146848265813e-05[/C][C]7.55734241329065e-06[/C][/ROW]
[ROW][C]148[/C][C]0.999990875092336[/C][C]1.82498153287769e-05[/C][C]9.12490766438843e-06[/C][/ROW]
[ROW][C]149[/C][C]0.999987813105958[/C][C]2.43737880839538e-05[/C][C]1.21868940419769e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999995243776885[/C][C]9.51244622990641e-06[/C][C]4.7562231149532e-06[/C][/ROW]
[ROW][C]151[/C][C]0.999997784399866[/C][C]4.43120026829642e-06[/C][C]2.21560013414821e-06[/C][/ROW]
[ROW][C]152[/C][C]0.99999945285593[/C][C]1.09428813961181e-06[/C][C]5.47144069805907e-07[/C][/ROW]
[ROW][C]153[/C][C]0.999999354177516[/C][C]1.29164496867081e-06[/C][C]6.45822484335403e-07[/C][/ROW]
[ROW][C]154[/C][C]0.999999238836521[/C][C]1.52232695733538e-06[/C][C]7.61163478667692e-07[/C][/ROW]
[ROW][C]155[/C][C]0.999998885539008[/C][C]2.22892198317161e-06[/C][C]1.11446099158581e-06[/C][/ROW]
[ROW][C]156[/C][C]0.999998962056685[/C][C]2.07588662927236e-06[/C][C]1.03794331463618e-06[/C][/ROW]
[ROW][C]157[/C][C]0.99999946341298[/C][C]1.07317404020466e-06[/C][C]5.36587020102329e-07[/C][/ROW]
[ROW][C]158[/C][C]0.999999257324527[/C][C]1.4853509463553e-06[/C][C]7.4267547317765e-07[/C][/ROW]
[ROW][C]159[/C][C]0.999999167394905[/C][C]1.66521018948282e-06[/C][C]8.32605094741409e-07[/C][/ROW]
[ROW][C]160[/C][C]0.999999217672457[/C][C]1.56465508548784e-06[/C][C]7.82327542743921e-07[/C][/ROW]
[ROW][C]161[/C][C]0.999998835163455[/C][C]2.32967308967566e-06[/C][C]1.16483654483783e-06[/C][/ROW]
[ROW][C]162[/C][C]0.999998867952777[/C][C]2.26409444635232e-06[/C][C]1.13204722317616e-06[/C][/ROW]
[ROW][C]163[/C][C]0.999998331262051[/C][C]3.33747589764902e-06[/C][C]1.66873794882451e-06[/C][/ROW]
[ROW][C]164[/C][C]0.999997486062888[/C][C]5.02787422448521e-06[/C][C]2.5139371122426e-06[/C][/ROW]
[ROW][C]165[/C][C]0.999997077141403[/C][C]5.84571719456822e-06[/C][C]2.92285859728411e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999997561249051[/C][C]4.87750189855876e-06[/C][C]2.43875094927938e-06[/C][/ROW]
[ROW][C]167[/C][C]0.999997016458313[/C][C]5.96708337470157e-06[/C][C]2.98354168735079e-06[/C][/ROW]
[ROW][C]168[/C][C]0.999999095908419[/C][C]1.80818316137625e-06[/C][C]9.04091580688124e-07[/C][/ROW]
[ROW][C]169[/C][C]0.999998662703509[/C][C]2.67459298107317e-06[/C][C]1.33729649053658e-06[/C][/ROW]
[ROW][C]170[/C][C]0.999999533718276[/C][C]9.3256344702697e-07[/C][C]4.66281723513485e-07[/C][/ROW]
[ROW][C]171[/C][C]0.999999593389644[/C][C]8.13220712622021e-07[/C][C]4.0661035631101e-07[/C][/ROW]
[ROW][C]172[/C][C]0.99999939442361[/C][C]1.21115277970522e-06[/C][C]6.05576389852612e-07[/C][/ROW]
[ROW][C]173[/C][C]0.99999915750181[/C][C]1.68499637940291e-06[/C][C]8.42498189701455e-07[/C][/ROW]
[ROW][C]174[/C][C]0.999998681068552[/C][C]2.63786289496382e-06[/C][C]1.31893144748191e-06[/C][/ROW]
[ROW][C]175[/C][C]0.99999994487357[/C][C]1.1025285896398e-07[/C][C]5.51264294819898e-08[/C][/ROW]
[ROW][C]176[/C][C]0.999999935761536[/C][C]1.28476928273267e-07[/C][C]6.42384641366337e-08[/C][/ROW]
[ROW][C]177[/C][C]0.999999901534256[/C][C]1.96931488422055e-07[/C][C]9.84657442110277e-08[/C][/ROW]
[ROW][C]178[/C][C]0.999999856945493[/C][C]2.86109013543652e-07[/C][C]1.43054506771826e-07[/C][/ROW]
[ROW][C]179[/C][C]0.999999841282691[/C][C]3.17434618637459e-07[/C][C]1.5871730931873e-07[/C][/ROW]
[ROW][C]180[/C][C]0.999999789165559[/C][C]4.21668881495462e-07[/C][C]2.10834440747731e-07[/C][/ROW]
[ROW][C]181[/C][C]0.999999864953972[/C][C]2.70092055791878e-07[/C][C]1.35046027895939e-07[/C][/ROW]
[ROW][C]182[/C][C]0.999999786169324[/C][C]4.27661352276658e-07[/C][C]2.13830676138329e-07[/C][/ROW]
[ROW][C]183[/C][C]0.999999820914779[/C][C]3.58170441688791e-07[/C][C]1.79085220844395e-07[/C][/ROW]
[ROW][C]184[/C][C]0.999999726117395[/C][C]5.47765209148735e-07[/C][C]2.73882604574368e-07[/C][/ROW]
[ROW][C]185[/C][C]0.999999639606418[/C][C]7.20787163191241e-07[/C][C]3.60393581595621e-07[/C][/ROW]
[ROW][C]186[/C][C]0.999999636782242[/C][C]7.2643551550972e-07[/C][C]3.6321775775486e-07[/C][/ROW]
[ROW][C]187[/C][C]0.999999601018636[/C][C]7.97962728684918e-07[/C][C]3.98981364342459e-07[/C][/ROW]
[ROW][C]188[/C][C]0.999999594046289[/C][C]8.11907422841141e-07[/C][C]4.0595371142057e-07[/C][/ROW]
[ROW][C]189[/C][C]0.999999347255418[/C][C]1.30548916368006e-06[/C][C]6.5274458184003e-07[/C][/ROW]
[ROW][C]190[/C][C]0.999998960373747[/C][C]2.07925250550717e-06[/C][C]1.03962625275358e-06[/C][/ROW]
[ROW][C]191[/C][C]0.999999477691887[/C][C]1.0446162257478e-06[/C][C]5.22308112873901e-07[/C][/ROW]
[ROW][C]192[/C][C]0.999999155719474[/C][C]1.6885610518884e-06[/C][C]8.44280525944198e-07[/C][/ROW]
[ROW][C]193[/C][C]0.999998860754088[/C][C]2.27849182335136e-06[/C][C]1.13924591167568e-06[/C][/ROW]
[ROW][C]194[/C][C]0.999999101872119[/C][C]1.79625576094468e-06[/C][C]8.9812788047234e-07[/C][/ROW]
[ROW][C]195[/C][C]0.999998880170904[/C][C]2.2396581915011e-06[/C][C]1.11982909575055e-06[/C][/ROW]
[ROW][C]196[/C][C]0.999998592079507[/C][C]2.81584098684239e-06[/C][C]1.4079204934212e-06[/C][/ROW]
[ROW][C]197[/C][C]0.999998911187717[/C][C]2.17762456558166e-06[/C][C]1.08881228279083e-06[/C][/ROW]
[ROW][C]198[/C][C]0.999998446629522[/C][C]3.1067409552372e-06[/C][C]1.5533704776186e-06[/C][/ROW]
[ROW][C]199[/C][C]0.999998042548342[/C][C]3.91490331565206e-06[/C][C]1.95745165782603e-06[/C][/ROW]
[ROW][C]200[/C][C]0.999996901231889[/C][C]6.19753622106221e-06[/C][C]3.09876811053111e-06[/C][/ROW]
[ROW][C]201[/C][C]0.999995079431032[/C][C]9.84113793655667e-06[/C][C]4.92056896827833e-06[/C][/ROW]
[ROW][C]202[/C][C]0.999993268823579[/C][C]1.34623528423671e-05[/C][C]6.73117642118356e-06[/C][/ROW]
[ROW][C]203[/C][C]0.999989423406946[/C][C]2.11531861082998e-05[/C][C]1.05765930541499e-05[/C][/ROW]
[ROW][C]204[/C][C]0.999984332710243[/C][C]3.13345795132135e-05[/C][C]1.56672897566067e-05[/C][/ROW]
[ROW][C]205[/C][C]0.999977490936865[/C][C]4.50181262690983e-05[/C][C]2.25090631345491e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999966256932656[/C][C]6.74861346872277e-05[/C][C]3.37430673436138e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999953048681508[/C][C]9.39026369841834e-05[/C][C]4.69513184920917e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999945766613357[/C][C]0.000108466773285661[/C][C]5.42333866428305e-05[/C][/ROW]
[ROW][C]209[/C][C]0.999922609477286[/C][C]0.00015478104542839[/C][C]7.73905227141949e-05[/C][/ROW]
[ROW][C]210[/C][C]0.999954712131658[/C][C]9.05757366832983e-05[/C][C]4.52878683416491e-05[/C][/ROW]
[ROW][C]211[/C][C]0.999957283959569[/C][C]8.54320808613449e-05[/C][C]4.27160404306725e-05[/C][/ROW]
[ROW][C]212[/C][C]0.999936480890682[/C][C]0.000127038218635912[/C][C]6.3519109317956e-05[/C][/ROW]
[ROW][C]213[/C][C]0.999916742325114[/C][C]0.00016651534977182[/C][C]8.32576748859098e-05[/C][/ROW]
[ROW][C]214[/C][C]0.999900772552765[/C][C]0.000198454894469484[/C][C]9.92274472347421e-05[/C][/ROW]
[ROW][C]215[/C][C]0.999894860631698[/C][C]0.000210278736604025[/C][C]0.000105139368302013[/C][/ROW]
[ROW][C]216[/C][C]0.999990492491174[/C][C]1.90150176516391e-05[/C][C]9.50750882581956e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999985664460451[/C][C]2.86710790983578e-05[/C][C]1.43355395491789e-05[/C][/ROW]
[ROW][C]218[/C][C]0.999977212050046[/C][C]4.55758999079485e-05[/C][C]2.27879499539743e-05[/C][/ROW]
[ROW][C]219[/C][C]0.999963982844862[/C][C]7.20343102758262e-05[/C][C]3.60171551379131e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999958096242382[/C][C]8.38075152360588e-05[/C][C]4.19037576180294e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999967532305919[/C][C]6.49353881611349e-05[/C][C]3.24676940805675e-05[/C][/ROW]
[ROW][C]222[/C][C]0.999968239268631[/C][C]6.35214627375285e-05[/C][C]3.17607313687642e-05[/C][/ROW]
[ROW][C]223[/C][C]0.999949500896182[/C][C]0.000100998207635302[/C][C]5.04991038176511e-05[/C][/ROW]
[ROW][C]224[/C][C]0.99993837386474[/C][C]0.000123252270519212[/C][C]6.16261352596059e-05[/C][/ROW]
[ROW][C]225[/C][C]0.999940066328255[/C][C]0.000119867343489562[/C][C]5.9933671744781e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999981141961657[/C][C]3.77160766867836e-05[/C][C]1.88580383433918e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999997689805561[/C][C]4.62038887713844e-06[/C][C]2.31019443856922e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999996565897074[/C][C]6.86820585204459e-06[/C][C]3.43410292602229e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999994771926352[/C][C]1.04561472956677e-05[/C][C]5.22807364783387e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999999017457166[/C][C]1.96508566806164e-06[/C][C]9.8254283403082e-07[/C][/ROW]
[ROW][C]231[/C][C]0.99999971156092[/C][C]5.76878159950908e-07[/C][C]2.88439079975454e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999999466652365[/C][C]1.06669527047028e-06[/C][C]5.33347635235142e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999017073574[/C][C]1.96585285205003e-06[/C][C]9.82926426025015e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999998436579364[/C][C]3.12684127190232e-06[/C][C]1.56342063595116e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999997138742567[/C][C]5.72251486602895e-06[/C][C]2.86125743301447e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999996319897502[/C][C]7.36020499545391e-06[/C][C]3.68010249772696e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999996593393791[/C][C]6.81321241848822e-06[/C][C]3.40660620924411e-06[/C][/ROW]
[ROW][C]238[/C][C]0.999997124226782[/C][C]5.75154643636988e-06[/C][C]2.87577321818494e-06[/C][/ROW]
[ROW][C]239[/C][C]0.999994644560873[/C][C]1.07108782539752e-05[/C][C]5.35543912698758e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999993888026809[/C][C]1.22239463817069e-05[/C][C]6.11197319085344e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999993403388605[/C][C]1.31932227896473e-05[/C][C]6.59661139482366e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999987972624289[/C][C]2.4054751421313e-05[/C][C]1.20273757106565e-05[/C][/ROW]
[ROW][C]243[/C][C]0.99998326691337[/C][C]3.34661732595702e-05[/C][C]1.67330866297851e-05[/C][/ROW]
[ROW][C]244[/C][C]0.999978628136095[/C][C]4.27437278095061e-05[/C][C]2.1371863904753e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999962191672016[/C][C]7.56166559669668e-05[/C][C]3.78083279834834e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999936499570843[/C][C]0.000127000858314939[/C][C]6.35004291574697e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999905108742375[/C][C]0.000189782515249877[/C][C]9.48912576249386e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999840547624832[/C][C]0.00031890475033683[/C][C]0.000159452375168415[/C][/ROW]
[ROW][C]249[/C][C]0.999790231190665[/C][C]0.000419537618669424[/C][C]0.000209768809334712[/C][/ROW]
[ROW][C]250[/C][C]0.999804871670946[/C][C]0.000390256658108563[/C][C]0.000195128329054282[/C][/ROW]
[ROW][C]251[/C][C]0.999678253822975[/C][C]0.000643492354049572[/C][C]0.000321746177024786[/C][/ROW]
[ROW][C]252[/C][C]0.999458391088761[/C][C]0.00108321782247715[/C][C]0.000541608911238577[/C][/ROW]
[ROW][C]253[/C][C]0.999360592788064[/C][C]0.00127881442387239[/C][C]0.000639407211936194[/C][/ROW]
[ROW][C]254[/C][C]0.999256811878017[/C][C]0.00148637624396526[/C][C]0.000743188121982631[/C][/ROW]
[ROW][C]255[/C][C]0.999088852595831[/C][C]0.00182229480833739[/C][C]0.000911147404168696[/C][/ROW]
[ROW][C]256[/C][C]0.998899960686036[/C][C]0.00220007862792731[/C][C]0.00110003931396366[/C][/ROW]
[ROW][C]257[/C][C]0.998146177584561[/C][C]0.00370764483087721[/C][C]0.0018538224154386[/C][/ROW]
[ROW][C]258[/C][C]0.996903480918594[/C][C]0.00619303816281201[/C][C]0.00309651908140601[/C][/ROW]
[ROW][C]259[/C][C]0.995442037703289[/C][C]0.00911592459342202[/C][C]0.00455796229671101[/C][/ROW]
[ROW][C]260[/C][C]0.992789560200631[/C][C]0.0144208795987373[/C][C]0.00721043979936863[/C][/ROW]
[ROW][C]261[/C][C]0.988788441989944[/C][C]0.0224231160201119[/C][C]0.0112115580100559[/C][/ROW]
[ROW][C]262[/C][C]0.989448171109083[/C][C]0.0211036577818333[/C][C]0.0105518288909166[/C][/ROW]
[ROW][C]263[/C][C]0.983803445613182[/C][C]0.0323931087736352[/C][C]0.0161965543868176[/C][/ROW]
[ROW][C]264[/C][C]0.976733817105079[/C][C]0.0465323657898421[/C][C]0.023266182894921[/C][/ROW]
[ROW][C]265[/C][C]0.980478712121978[/C][C]0.0390425757560446[/C][C]0.0195212878780223[/C][/ROW]
[ROW][C]266[/C][C]0.97778414912056[/C][C]0.0444317017588799[/C][C]0.02221585087944[/C][/ROW]
[ROW][C]267[/C][C]0.980890984543095[/C][C]0.0382180309138099[/C][C]0.019109015456905[/C][/ROW]
[ROW][C]268[/C][C]0.972523995053428[/C][C]0.0549520098931439[/C][C]0.027476004946572[/C][/ROW]
[ROW][C]269[/C][C]0.972834709351996[/C][C]0.0543305812960072[/C][C]0.0271652906480036[/C][/ROW]
[ROW][C]270[/C][C]0.955334671243406[/C][C]0.0893306575131882[/C][C]0.0446653287565941[/C][/ROW]
[ROW][C]271[/C][C]0.931910829985836[/C][C]0.136178340028329[/C][C]0.0680891700141645[/C][/ROW]
[ROW][C]272[/C][C]0.93674426439437[/C][C]0.12651147121126[/C][C]0.0632557356056302[/C][/ROW]
[ROW][C]273[/C][C]0.9162065495644[/C][C]0.167586900871201[/C][C]0.0837934504356003[/C][/ROW]
[ROW][C]274[/C][C]0.867207287978298[/C][C]0.265585424043405[/C][C]0.132792712021702[/C][/ROW]
[ROW][C]275[/C][C]0.829052028354574[/C][C]0.341895943290852[/C][C]0.170947971645426[/C][/ROW]
[ROW][C]276[/C][C]0.764624510981371[/C][C]0.470750978037258[/C][C]0.235375489018629[/C][/ROW]
[ROW][C]277[/C][C]0.677173602850106[/C][C]0.645652794299788[/C][C]0.322826397149894[/C][/ROW]
[ROW][C]278[/C][C]0.635758303248867[/C][C]0.728483393502266[/C][C]0.364241696751133[/C][/ROW]
[ROW][C]279[/C][C]0.505344475899744[/C][C]0.989311048200512[/C][C]0.494655524100256[/C][/ROW]
[ROW][C]280[/C][C]0.344615160478898[/C][C]0.689230320957797[/C][C]0.655384839521102[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153505&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153505&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1894933484982160.3789866969964330.810506651501784
100.08431577657667210.1686315531533440.915684223423328
110.04963272893022710.09926545786045420.950367271069773
120.1836768237845710.3673536475691420.816323176215429
130.3715651133738640.7431302267477280.628434886626136
140.3580869634754550.716173926950910.641913036524545
150.6831551612972380.6336896774055240.316844838702762
160.639207876707140.721584246585720.36079212329286
170.6055642745925060.7888714508149880.394435725407494
180.5208086485746130.9583827028507730.479191351425387
190.8117925719283020.3764148561433970.188207428071698
200.8697268059716360.2605463880567290.130273194028364
210.8672303659934640.2655392680130710.132769634006536
220.8401031510520080.3197936978959840.159896848947992
230.8206173803086850.3587652393826310.179382619691315
240.793859132975220.412281734049560.20614086702478
250.9511924068880350.09761518622393060.0488075931119653
260.9396406731661550.120718653667690.0603593268338448
270.9226239584224940.1547520831550120.0773760415775059
280.9189461925371320.1621076149257360.0810538074628681
290.9185823482511410.1628353034977170.0814176517488585
300.9037952960613270.1924094078773450.0962047039386726
310.8831266992715170.2337466014569660.116873300728483
320.8886011534535460.2227976930929080.111398846546454
330.8749886244404910.2500227511190180.125011375559509
340.9415971494884860.1168057010230290.0584028505115144
350.9746531521435030.05069369571299370.0253468478564969
360.966373330134390.06725333973122090.0336266698656104
370.9627405431422390.07451891371552160.0372594568577608
380.9534434677815720.09311306443685690.0465565322184285
390.9463016855698930.1073966288602140.053698314430107
400.9559444397630750.08811112047385010.0440555602369251
410.9491922046101230.1016155907797530.0508077953898767
420.9441103353515250.111779329296950.0558896646484748
430.9460016274594360.1079967450811280.053998372540564
440.9330898659395010.1338202681209970.0669101340604985
450.9197269053338840.1605461893322320.0802730946661158
460.9075667715203790.1848664569592410.0924332284796206
470.8884024275534730.2231951448930530.111597572446527
480.8653076069933730.2693847860132540.134692393006627
490.8485523264333610.3028953471332780.151447673566639
500.8976715435415080.2046569129169830.102328456458492
510.8809336223997430.2381327552005140.119066377600257
520.8698631166118960.2602737667762070.130136883388104
530.8926847102746520.2146305794506960.107315289725348
540.8725367849281810.2549264301436380.127463215071819
550.8697482269700980.2605035460598040.130251773029902
560.8484836843442180.3030326313115640.151516315655782
570.8474902437890990.3050195124218010.152509756210901
580.8386980678929330.3226038642141350.161301932107067
590.824311028971850.3513779420562990.17568897102815
600.8075112350417810.3849775299164380.192488764958219
610.7800172111625280.4399655776749450.219982788837472
620.8032157319458150.3935685361083710.196784268054186
630.9097672503715860.1804654992568280.0902327496284142
640.891907272587760.216185454824480.10809272741224
650.9366231564964450.1267536870071090.0633768435035546
660.9256353059255720.1487293881488570.0743646940744285
670.9120685510071550.175862897985690.0879314489928452
680.8982782320556540.2034435358886910.101721767944346
690.9865629393754740.02687412124905290.0134370606245265
700.9828693351723370.03426132965532610.017130664827663
710.9799745993250150.04005080134996970.0200254006749849
720.9758193955630380.04836120887392410.0241806044369621
730.9723179272914280.05536414541714360.0276820727085718
740.9665600074571050.06687998508579040.0334399925428952
750.9676972629255950.06460547414881090.0323027370744055
760.962816220353910.07436755929217940.0371837796460897
770.955360941208280.08927811758343980.0446390587917199
780.9795404488858660.04091910222826720.0204595511141336
790.9781047248737330.04379055025253320.0218952751262666
800.9941940012236120.01161199755277590.00580599877638793
810.9941911638556260.01161767228874830.00580883614437414
820.9959262835699120.008147432860176160.00407371643008808
830.9947347408103880.01053051837922350.00526525918961177
840.9934668304590920.01306633908181640.00653316954090821
850.994291852129010.01141629574198020.00570814787099008
860.9951683381198490.009663323760301570.00483166188015078
870.9947373164965390.01052536700692250.00526268350346125
880.9932640292762850.01347194144743040.00673597072371519
890.9928487225021710.0143025549956580.00715127749782899
900.9943673724634380.01126525507312380.00563262753656191
910.995607643236890.008784713526219760.00439235676310988
920.9972089406098360.005582118780327590.0027910593901638
930.9966929043747280.006614191250543380.00330709562527169
940.9965036561243210.006992687751358470.00349634387567923
950.9960177767207320.007964446558536530.00398222327926827
960.9949847287406020.01003054251879690.00501527125939847
970.9935491948401780.01290161031964310.00645080515982155
980.9937520331752180.01249593364956460.0062479668247823
990.9926899303564080.01462013928718370.00731006964359184
1000.9918018920663620.01639621586727580.00819810793363789
1010.9897056605516810.02058867889663710.0102943394483186
1020.9908309577437080.01833808451258480.0091690422562924
1030.9890009743743720.02199805125125630.0109990256256282
1040.9864326856143980.02713462877120370.0135673143856018
1050.9850276695319280.0299446609361430.0149723304680715
1060.9919562709587630.01608745808247450.00804372904123725
1070.999568777908920.0008624441821594940.000431222091079747
1080.9995069894127520.0009860211744962310.000493010587248115
1090.9999660449056736.79101886540898e-053.39550943270449e-05
1100.9999757061904044.85876191913025e-052.42938095956513e-05
1110.9999714583497785.70833004438705e-052.85416502219353e-05
1120.9999695096235776.09807528465277e-053.04903764232638e-05
1130.9999623746293477.52507413061382e-053.76253706530691e-05
1140.999984471319793.10573604204524e-051.55286802102262e-05
1150.9999904330058651.91339882701807e-059.56699413509035e-06
1160.9999862823028912.74353942182868e-051.37176971091434e-05
1170.9999800465473553.99069052899379e-051.9953452644969e-05
1180.9999790686891794.18626216413141e-052.09313108206571e-05
1190.9999938834629141.2233074172094e-056.11653708604699e-06
1200.9999924462885141.51074229729443e-057.55371148647215e-06
1210.9999899578480412.008430391826e-051.004215195913e-05
1220.999988103693982.37926120407629e-051.18963060203814e-05
1230.9999831517058263.3696588347304e-051.6848294173652e-05
1240.9999776711052534.46577894940338e-052.23288947470169e-05
1250.999968119257526.37614849590677e-053.18807424795339e-05
1260.999958188168138.36236637401495e-054.18118318700748e-05
1270.9999495852104940.0001008295790115215.04147895057606e-05
1280.9999437834568070.0001124330863853415.62165431926706e-05
1290.9999210003470150.0001579993059697197.89996529848596e-05
1300.9999360912892980.0001278174214048676.39087107024333e-05
1310.999914390605960.0001712187880798798.56093940399397e-05
1320.9998810386130120.0002379227739749780.000118961386987489
1330.9998570719100570.0002858561798863260.000142928089943163
1340.9998815818644410.0002368362711174770.000118418135558739
1350.9999209786446660.0001580427106676667.90213553338332e-05
1360.9999743179341055.1364131790775e-052.56820658953875e-05
1370.9999778624916214.42750167577283e-052.21375083788641e-05
1380.9999932781257191.34437485625646e-056.72187428128228e-06
1390.9999918787401491.62425197017408e-058.12125985087038e-06
1400.9999929902830821.40194338356641e-057.00971691783204e-06
1410.9999899515887212.00968225582097e-051.00484112791048e-05
1420.9999879010849442.41978301129126e-051.20989150564563e-05
1430.9999830311070623.39377858768081e-051.69688929384041e-05
1440.9999792948223654.14103552690971e-052.07051776345485e-05
1450.9999887885204552.24229590903841e-051.1211479545192e-05
1460.9999840200620033.1959875993099e-051.59799379965495e-05
1470.9999924426575871.51146848265813e-057.55734241329065e-06
1480.9999908750923361.82498153287769e-059.12490766438843e-06
1490.9999878131059582.43737880839538e-051.21868940419769e-05
1500.9999952437768859.51244622990641e-064.7562231149532e-06
1510.9999977843998664.43120026829642e-062.21560013414821e-06
1520.999999452855931.09428813961181e-065.47144069805907e-07
1530.9999993541775161.29164496867081e-066.45822484335403e-07
1540.9999992388365211.52232695733538e-067.61163478667692e-07
1550.9999988855390082.22892198317161e-061.11446099158581e-06
1560.9999989620566852.07588662927236e-061.03794331463618e-06
1570.999999463412981.07317404020466e-065.36587020102329e-07
1580.9999992573245271.4853509463553e-067.4267547317765e-07
1590.9999991673949051.66521018948282e-068.32605094741409e-07
1600.9999992176724571.56465508548784e-067.82327542743921e-07
1610.9999988351634552.32967308967566e-061.16483654483783e-06
1620.9999988679527772.26409444635232e-061.13204722317616e-06
1630.9999983312620513.33747589764902e-061.66873794882451e-06
1640.9999974860628885.02787422448521e-062.5139371122426e-06
1650.9999970771414035.84571719456822e-062.92285859728411e-06
1660.9999975612490514.87750189855876e-062.43875094927938e-06
1670.9999970164583135.96708337470157e-062.98354168735079e-06
1680.9999990959084191.80818316137625e-069.04091580688124e-07
1690.9999986627035092.67459298107317e-061.33729649053658e-06
1700.9999995337182769.3256344702697e-074.66281723513485e-07
1710.9999995933896448.13220712622021e-074.0661035631101e-07
1720.999999394423611.21115277970522e-066.05576389852612e-07
1730.999999157501811.68499637940291e-068.42498189701455e-07
1740.9999986810685522.63786289496382e-061.31893144748191e-06
1750.999999944873571.1025285896398e-075.51264294819898e-08
1760.9999999357615361.28476928273267e-076.42384641366337e-08
1770.9999999015342561.96931488422055e-079.84657442110277e-08
1780.9999998569454932.86109013543652e-071.43054506771826e-07
1790.9999998412826913.17434618637459e-071.5871730931873e-07
1800.9999997891655594.21668881495462e-072.10834440747731e-07
1810.9999998649539722.70092055791878e-071.35046027895939e-07
1820.9999997861693244.27661352276658e-072.13830676138329e-07
1830.9999998209147793.58170441688791e-071.79085220844395e-07
1840.9999997261173955.47765209148735e-072.73882604574368e-07
1850.9999996396064187.20787163191241e-073.60393581595621e-07
1860.9999996367822427.2643551550972e-073.6321775775486e-07
1870.9999996010186367.97962728684918e-073.98981364342459e-07
1880.9999995940462898.11907422841141e-074.0595371142057e-07
1890.9999993472554181.30548916368006e-066.5274458184003e-07
1900.9999989603737472.07925250550717e-061.03962625275358e-06
1910.9999994776918871.0446162257478e-065.22308112873901e-07
1920.9999991557194741.6885610518884e-068.44280525944198e-07
1930.9999988607540882.27849182335136e-061.13924591167568e-06
1940.9999991018721191.79625576094468e-068.9812788047234e-07
1950.9999988801709042.2396581915011e-061.11982909575055e-06
1960.9999985920795072.81584098684239e-061.4079204934212e-06
1970.9999989111877172.17762456558166e-061.08881228279083e-06
1980.9999984466295223.1067409552372e-061.5533704776186e-06
1990.9999980425483423.91490331565206e-061.95745165782603e-06
2000.9999969012318896.19753622106221e-063.09876811053111e-06
2010.9999950794310329.84113793655667e-064.92056896827833e-06
2020.9999932688235791.34623528423671e-056.73117642118356e-06
2030.9999894234069462.11531861082998e-051.05765930541499e-05
2040.9999843327102433.13345795132135e-051.56672897566067e-05
2050.9999774909368654.50181262690983e-052.25090631345491e-05
2060.9999662569326566.74861346872277e-053.37430673436138e-05
2070.9999530486815089.39026369841834e-054.69513184920917e-05
2080.9999457666133570.0001084667732856615.42333866428305e-05
2090.9999226094772860.000154781045428397.73905227141949e-05
2100.9999547121316589.05757366832983e-054.52878683416491e-05
2110.9999572839595698.54320808613449e-054.27160404306725e-05
2120.9999364808906820.0001270382186359126.3519109317956e-05
2130.9999167423251140.000166515349771828.32576748859098e-05
2140.9999007725527650.0001984548944694849.92274472347421e-05
2150.9998948606316980.0002102787366040250.000105139368302013
2160.9999904924911741.90150176516391e-059.50750882581956e-06
2170.9999856644604512.86710790983578e-051.43355395491789e-05
2180.9999772120500464.55758999079485e-052.27879499539743e-05
2190.9999639828448627.20343102758262e-053.60171551379131e-05
2200.9999580962423828.38075152360588e-054.19037576180294e-05
2210.9999675323059196.49353881611349e-053.24676940805675e-05
2220.9999682392686316.35214627375285e-053.17607313687642e-05
2230.9999495008961820.0001009982076353025.04991038176511e-05
2240.999938373864740.0001232522705192126.16261352596059e-05
2250.9999400663282550.0001198673434895625.9933671744781e-05
2260.9999811419616573.77160766867836e-051.88580383433918e-05
2270.9999976898055614.62038887713844e-062.31019443856922e-06
2280.9999965658970746.86820585204459e-063.43410292602229e-06
2290.9999947719263521.04561472956677e-055.22807364783387e-06
2300.9999990174571661.96508566806164e-069.8254283403082e-07
2310.999999711560925.76878159950908e-072.88439079975454e-07
2320.9999994666523651.06669527047028e-065.33347635235142e-07
2330.9999990170735741.96585285205003e-069.82926426025015e-07
2340.9999984365793643.12684127190232e-061.56342063595116e-06
2350.9999971387425675.72251486602895e-062.86125743301447e-06
2360.9999963198975027.36020499545391e-063.68010249772696e-06
2370.9999965933937916.81321241848822e-063.40660620924411e-06
2380.9999971242267825.75154643636988e-062.87577321818494e-06
2390.9999946445608731.07108782539752e-055.35543912698758e-06
2400.9999938880268091.22239463817069e-056.11197319085344e-06
2410.9999934033886051.31932227896473e-056.59661139482366e-06
2420.9999879726242892.4054751421313e-051.20273757106565e-05
2430.999983266913373.34661732595702e-051.67330866297851e-05
2440.9999786281360954.27437278095061e-052.1371863904753e-05
2450.9999621916720167.56166559669668e-053.78083279834834e-05
2460.9999364995708430.0001270008583149396.35004291574697e-05
2470.9999051087423750.0001897825152498779.48912576249386e-05
2480.9998405476248320.000318904750336830.000159452375168415
2490.9997902311906650.0004195376186694240.000209768809334712
2500.9998048716709460.0003902566581085630.000195128329054282
2510.9996782538229750.0006434923540495720.000321746177024786
2520.9994583910887610.001083217822477150.000541608911238577
2530.9993605927880640.001278814423872390.000639407211936194
2540.9992568118780170.001486376243965260.000743188121982631
2550.9990888525958310.001822294808337390.000911147404168696
2560.9988999606860360.002200078627927310.00110003931396366
2570.9981461775845610.003707644830877210.0018538224154386
2580.9969034809185940.006193038162812010.00309651908140601
2590.9954420377032890.009115924593422020.00455796229671101
2600.9927895602006310.01442087959873730.00721043979936863
2610.9887884419899440.02242311602011190.0112115580100559
2620.9894481711090830.02110365778183330.0105518288909166
2630.9838034456131820.03239310877363520.0161965543868176
2640.9767338171050790.04653236578984210.023266182894921
2650.9804787121219780.03904257575604460.0195212878780223
2660.977784149120560.04443170175887990.02221585087944
2670.9808909845430950.03821803091380990.019109015456905
2680.9725239950534280.05495200989314390.027476004946572
2690.9728347093519960.05433058129600720.0271652906480036
2700.9553346712434060.08933065751318820.0446653287565941
2710.9319108299858360.1361783400283290.0680891700141645
2720.936744264394370.126511471211260.0632557356056302
2730.91620654956440.1675869008712010.0837934504356003
2740.8672072879782980.2655854240434050.132792712021702
2750.8290520283545740.3418959432908520.170947971645426
2760.7646245109813710.4707509780372580.235375489018629
2770.6771736028501060.6456527942997880.322826397149894
2780.6357583032488670.7284833935022660.364241696751133
2790.5053444758997440.9893110482005120.494655524100256
2800.3446151604788980.6892303209577970.655384839521102






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1600.588235294117647NOK
5% type I error level1940.713235294117647NOK
10% type I error level2090.768382352941177NOK

\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 & 160 & 0.588235294117647 & NOK \tabularnewline
5% type I error level & 194 & 0.713235294117647 & NOK \tabularnewline
10% type I error level & 209 & 0.768382352941177 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153505&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]160[/C][C]0.588235294117647[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]194[/C][C]0.713235294117647[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]209[/C][C]0.768382352941177[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153505&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153505&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1600.588235294117647NOK
5% type I error level1940.713235294117647NOK
10% type I error level2090.768382352941177NOK


Figures (Output of Computation)

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


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


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


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


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


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


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


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


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


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


Input Parameters & R Code

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