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Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 12 Dec 2012 15:43:39 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/12/t1355345105wkbbkfga3466bdp.htm/, Retrieved Sun, 28 Apr 2024 20:38:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199071, Retrieved Sun, 28 Apr 2024 20:38:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Multiple Regressi...] [2012-12-12 19:39:15] [2c4ddb4bf62114b8025bb962e2c7a2b5]
-   PD    [Multiple Regression] [Multiple Regressi...] [2012-12-12 20:43:39] [b4b733de199089e913cc2b6ea19b06b9] [Current]
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Dataseries X:
56	30	112285	58,58527778
56	28	84786	33,60611111
54	38	83123	49,03
89	30	101193	49,81138889
40	22	38361	34,21805556
25	26	68504	14,65166667
92	25	119182	107,0927778
18	18	22807	9,213888889
63	11	17140	28,23472222
44	26	116174	41,40583333
33	25	57635	45,95722222
84	38	66198	65,8925
88	44	71701	48,14611111
55	30	57793	36,98083333
60	40	80444	71,90916667
66	34	53855	50,02305556
154	47	97668	90,22194444
53	30	133824	64,15666667
119	31	101481	65,77361111
41	23	99645	37,63138889
61	36	114789	56,36805556
58	36	99052	59,76305556
75	30	67654	95,63805556
33	25	65553	42,75972222
40	39	97500	36,92861111
92	34	69112	48,53444444
100	31	82753	48,44861111
112	31	85323	62,65222222
73	33	72654	62,12
40	25	30727	34,67138889
45	33	77873	61,58277778
60	35	117478	58,54638889
62	42	74007	47,29611111
75	43	90183	72,37805556
31	30	61542	23,57027778
77	33	101494	81,78444444
34	13	27570	28,05861111
46	32	55813	59,90027778
99	36	79215	90,3075
17	0	1423	1,993333333
66	28	55461	46,53944444
30	14	31081	29,55777778
76	17	22996	26,82222222
146	32	83122	73,82472222
67	30	70106	74,90305556
56	35	60578	41,42
107	20	39992	48,84
58	28	79892	42,46416667
34	28	49810	31,01805556
61	39	71570	32,33555556
119	34	100708	100,6391667
42	26	33032	21,88888889
66	39	82875	50,87972222
89	39	139077	77,2125
44	33	71595	41,84138889
66	28	72260	46,89138889
24	4	5950	6,718888889
259	39	115762	91,46305556
17	18	32551	18,06361111
64	14	31701	28,0825
41	29	80670	60,81833333
68	44	143558	67,79222222
168	21	117105	94,88055556
43	16	23789	28,77694444
132	28	120733	64,81333333
105	35	105195	71,23944444
71	28	73107	57,26694444
112	38	132068	86,52027778
94	23	149193	65,5
82	36	46821	49,4275
70	32	87011	57,54888889
57	29	95260	54,59805556
53	25	55183	48,38444444
103	27	106671	39,79055556
121	36	73511	52,09972222
62	28	92945	52,13361111
52	23	78664	33,06
52	40	70054	50,60888889
32	23	22618	20,435
62	40	74011	54,16083333
45	28	83737	46,52444444
46	34	69094	39,93222222
63	33	93133	76,53916667
75	28	95536	67,55527778
88	34	225920	50,83305556
46	30	62133	37,68027778
53	33	61370	42,30527778
37	22	43836	33,39472222
90	38	106117	96,24583333
63	26	38692	40,49722222
78	35	84651	53,70527778
25	8	56622	22,48694444
45	24	15986	34,10388889
46	29	95364	36,27361111
41	20	26706	31,28083333
144	29	89691	79,57444444
82	45	67267	66,96277778
91	37	126846	41,235
71	33	41140	56,86472222
63	33	102860	50,5775
53	25	51715	38,98444444
62	32	55801	61,25444444
63	29	111813	67,51666667
32	28	120293	45,2125
39	28	138599	50,72583333
62	31	161647	64,48277778
117	52	115929	73,69944444
34	21	24266	23,77055556
92	24	162901	86,34416667
93	41	109825	62,51666667
54	33	129838	64,5325
144	32	37510	40,26833333
14	19	43750	12,02416667
61	20	40652	43,265
109	31	87771	45,7525
38	31	85872	56,09444444
73	32	89275	65,40388889
75	18	44418	61,33361111
50	23	192565	27,62944444
61	17	35232	25,73916667
55	20	40909	37,03555556
77	12	13294	17,04472222
75	17	32387	34,98055556
72	30	140867	27,98611111
50	31	120662	62,37472222
32	10	21233	22,86555556
53	13	44332	28,33611111
42	22	61056	28,20083333
71	42	101338	67,64194444
10	1	1168	6,371666667
35	9	13497	11,54611111
65	32	65567	42,35388889
25	11	25162	17,1825
66	25	32334	27,75638889
41	36	40735	36,80194444
86	31	91413	88,165
16	0	855	5,848333333
42	24	97068	58,23361111
19	13	44339	6,291111111
19	8	14116	8,726111111
45	13	10288	12,97166667
65	19	65622	36,58277778
35	18	16563	25,48194444
95	33	76643	67,98583333
49	40	110681	51,25277778
37	22	29011	22,18416667
64	38	92696	35,67305556
38	24	94785	27,1775
34	8	8773	10,615
32	35	83209	41,9725
65	43	93815	75,68277778
52	43	86687	47,915
62	14	34553	30,01194444
65	41	105547	91,14083333
83	38	103487	69,60527778
95	45	213688	97,51861111
29	31	71220	43,89305556
18	13	23517	27,46277778
33	28	56926	23,73305556
247	31	91721	63,67833333
139	40	115168	97,67194444
29	30	111194	23,39083333
118	16	51009	33,45694444
110	37	135777	90,16611111
67	30	51513	36,40805556
42	35	74163	56,74194444
65	32	51633	45,98416667
94	27	75345	39,36722222
64	20	33416	32,23555556
81	18	83305	69,4575
95	31	98952	83,27083333
67	31	102372	54,39944444
63	21	37238	48,12777778
83	39	103772	70,69111111
45	41	123969	28,99694444
30	13	27142	37,80111111
70	32	135400	55,41
32	18	21399	25,69416667
83	39	130115	62,31388889
31	14	24874	37,71694444
67	7	34988	20,66888889
66	17	45549	22,56666667
10	0	6023	4,08
70	30	64466	50,45361111
103	37	54990	75,51555556
5	0	1644	1,999722222
20	5	6179	12,96111111
5	1	3926	4,874166667
36	16	32755	37,04666667
34	32	34777	26,45194444
48	24	73224	42,38916667
40	17	27114	27,26277778
43	11	20760	22,11638889
31	24	37636	16,44277778
42	22	65461	38,87277778
46	12	30080	32,94777778
33	19	24094	20,24444444
18	13	69008	18,1875
55	17	54968	27,67861111
35	15	46090	19,99027778
59	16	27507	21,46444444
19	24	10672	13,69138889
66	15	34029	37,53638889
60	17	46300	30,12388889
36	18	24760	24,92944444
25	20	18779	12,30444444
47	16	21280	21,56888889
54	16	40662	50,42444444
53	18	28987	37,2275
40	22	22827	34,46222222
40	8	18513	25,73055556
39	17	30594	33,84666667
14	18	24006	14,69861111
45	16	27913	22,74222222
36	23	42744	16,38361111
28	22	12934	14,86527778
44	13	22574	16,89222222
30	13	41385	15,65972222
22	16	18653	18,19166667
17	16	18472	22,48583333
31	20	30976	21,195
55	22	63339	28,89194444
54	17	25568	27,25111111
21	18	33747	18,88583333
14	17	4154	8,608055556
81	12	19474	37,62722222
35	7	35130	20,41777778
43	17	39067	17,53416667
46	14	13310	17,015
30	23	65892	20,80944444
23	17	4143	8,826111111
38	14	28579	22,62138889
54	15	51776	24,21833333
20	17	21152	13,91388889
53	21	38084	18,2625
45	18	27717	15,73694444
39	18	32928	43,99972222
20	17	11342	12,90416667
24	17	19499	20,45111111
31	16	16380	10,66527778
35	15	36874	25,5275
151	21	48259	38,75722222
52	16	16734	14,49
30	14	28207	14,32416667
31	15	30143	19,5975
29	17	41369	23,57111111
57	15	45833	28,48277778
40	15	29156	24,07722222
44	10	35944	23,80805556
25	6	36278	9,628333333
77	22	45588	41,82777778
35	21	45097	27,66972222
11	1	3895	5,374722222
63	18	28394	27,60361111
44	17	18632	23,95277778
19	4	2325	8,565833333
13	10	25139	8,807222222
42	16	27975	24,94611111
38	16	14483	17,24666667
29	9	13127	11,15305556
20	16	5839	7,676111111
27	17	24069	21,38611111
20	7	3738	10,40555556
19	15	18625	15,04361111
37	14	36341	13,85055556
26	14	24548	23,42694444
42	18	21792	17,82638889
49	12	26263	16,495
30	16	23686	33,14111111
49	21	49303	21,30611111
67	19	25659	28,72916667
28	16	28904	19,54
19	1	2781	12,05833333
49	16	29236	29,12166667
27	10	19546	17,28194444
30	19	22818	19,25111111
22	12	32689	14,75472222
12	2	5752	5,49
31	14	22197	24,07777778
20	17	20055	23,3625
20	19	25272	21,65138889
39	14	82206	24,75361111
29	11	32073	25,27916667
16	4	5444	11,18
27	16	20154	17,82972222
21	20	36944	14,12694444
19	12	8019	15,72583333
35	15	30884	17,44222222
14	16	19540	20,14861111




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199071&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199071&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199071&T=0

As an alternative you can also use a 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 time12 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Y_1[t] = -1.96704785448548 + 0.25073857081205X_1[t] + 0.714584000669894X_2[t] + 0.000171934980536373X_3[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Y_1[t] =  -1.96704785448548 +  0.25073857081205X_1[t] +  0.714584000669894X_2[t] +  0.000171934980536373X_3[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199071&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Y_1[t] =  -1.96704785448548 +  0.25073857081205X_1[t] +  0.714584000669894X_2[t] +  0.000171934980536373X_3[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199071&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199071&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Y_1[t] = -1.96704785448548 + 0.25073857081205X_1[t] + 0.714584000669894X_2[t] + 0.000171934980536373X_3[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-1.967047854485481.714274-1.14750.2521570.126078
X_10.250738570812050.02493210.056900
X_20.7145840006698940.0991187.209400
X_30.0001719349805363732.6e-056.681300

\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) & -1.96704785448548 & 1.714274 & -1.1475 & 0.252157 & 0.126078 \tabularnewline
X_1 & 0.25073857081205 & 0.024932 & 10.0569 & 0 & 0 \tabularnewline
X_2 & 0.714584000669894 & 0.099118 & 7.2094 & 0 & 0 \tabularnewline
X_3 & 0.000171934980536373 & 2.6e-05 & 6.6813 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199071&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]-1.96704785448548[/C][C]1.714274[/C][C]-1.1475[/C][C]0.252157[/C][C]0.126078[/C][/ROW]
[ROW][C]X_1[/C][C]0.25073857081205[/C][C]0.024932[/C][C]10.0569[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]X_2[/C][C]0.714584000669894[/C][C]0.099118[/C][C]7.2094[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]X_3[/C][C]0.000171934980536373[/C][C]2.6e-05[/C][C]6.6813[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199071&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199071&T=2

As an alternative you can also use a 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)-1.967047854485481.714274-1.14750.2521570.126078
X_10.250738570812050.02493210.056900
X_20.7145840006698940.0991187.209400
X_30.0001719349805363732.6e-056.681300







Multiple Linear Regression - Regression Statistics
Multiple R0.862266052259288
R-squared0.743502744878818
Adjusted R-squared0.740802773772279
F-TEST (value)275.37433385054
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.6444881184784
Sum Squared Residuals38644.3195092944

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.862266052259288 \tabularnewline
R-squared & 0.743502744878818 \tabularnewline
Adjusted R-squared & 0.740802773772279 \tabularnewline
F-TEST (value) & 275.37433385054 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 285 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 11.6444881184784 \tabularnewline
Sum Squared Residuals & 38644.3195092944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199071&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.862266052259288[/C][/ROW]
[ROW][C]R-squared[/C][C]0.743502744878818[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.740802773772279[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]275.37433385054[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]285[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]11.6444881184784[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]38644.3195092944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199071&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199071&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.862266052259288
R-squared0.743502744878818
Adjusted R-squared0.740802773772279
F-TEST (value)275.37433385054
F-TEST (DF numerator)3
F-TEST (DF denominator)285
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.6444881184784
Sum Squared Residuals38644.3195092944







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
158.5852777852.81755142061285.7677263593872
233.6061111146.6603433895033-13.0542322795033
349.0353.0187783819461-3.98877838194614
449.8113888959.184821453301-9.37343256330099
534.2180555630.378940781093.83911477891
614.6516666734.6588343398967-20.0071676698967
7107.092777859.457055527256547.6357222727435
89.21388888919.3300795332826-10.1161906442826
928.2347222224.63687168043593.59785053956406
1041.4058333347.6190077074946-6.2131743774946
1145.9572222234.081397602273411.8758246177266
1265.892557.63093596072958.26156403927047
1348.1461111163.8675524458888-15.7214413358888
1436.9808333343.1977318904127-6.21689856041271
1571.9091666755.491763995301316.4174026746987
1650.0230555648.13711221867261.88594334132741
1790.2219444487.02468576108173.19725867891826
1864.1566666755.76864325394968.38802341605038
1965.7736111167.4710798527269-1.69746874272688
2037.6313888941.8811266997631-4.24973780976306
2156.3680555658.7892734699555-2.42121790995551
2259.7630555655.33131696881854.43173859118154
2395.6380555649.907954149722945.7301014102771
2442.7597222235.44277877816047.3169434418396
2536.9286111152.6949316064188-15.7663204964188
2648.5344444457.2795270578293-8.74508261782935
2748.4486111159.4870486918127-11.0384375818127
2862.6522222262.9377844415358-0.285562221535815
2962.1252.40990391279039.71009608720966
3034.6713888931.2101411416853.46124774831499
3161.5827777846.286552593472315.2962251865277
3258.5463888958.28628406113590.260104828864123
3347.2961111156.3156636685525-9.01955255855255
3472.3780555663.07106933493559.30698622506455
3523.5702777837.8245904329544-14.2543126529544
3681.7844444458.371463034707523.4129814052925
3728.0586111120.58790297522077.47070813477935
3859.9002777842.02982149298217.870456287018
3990.307562.200924163212528.1065758367875
401.9933333332.54017132662263-0.546837993622633
4146.5394444444.12573579339472.41370864660534
4229.5577777820.90319640930568.65458137069444
4326.8222222233.190828351033-6.36860613103295
4473.8247222271.79905095765482.02567126234515
4574.9030555648.323630155501726.5794254044983
4641.4247.500229385368-6.08022938536803
4748.8446.02968297741242.81031702258762
4842.4641666746.3203707363824-3.85620406638239
4931.0180555635.130496952398-4.11244139239801
5032.3355555653.5021675481637-21.1666119881637
51100.639166769.481926114781931.1572405852181
5221.8888888932.8225124141153-10.9336235241153
5350.8797222256.6995853571876-5.81986313718763
5477.212572.129662261975.08283773802998
5541.8413888944.9564062148529-3.11501732485287
5646.8913888947.0140715314252-0.122682641425188
576.7188888897.93202698187471-1.21313809287471
5891.46305556110.746555228813-19.283499668813
5918.0636111120.7546754128169-2.69106430281695
6028.082529.5349075048478-1.45240750484781
6160.8183333342.906164448104717.9121688818953
6267.7922222271.2075129260499-3.41529070604994
6394.8805555675.297741951718719.5828136082813
6428.7769444424.33821595313084.43872848686924
6564.8133333371.8970215165601-7.08368818656011
6671.2394444467.45764238174983.78180205825015
6757.2669444448.41339331399978.85355112600026
6886.5202777875.976973111397810.5433046686022
6965.563.68930536841791.81069463158206
7049.427552.3687066999123-2.94120669991233
7157.5488888953.4115747152454.13731417475499
7254.5980555649.42651294712325.17154261287677
7348.3844444438.67458444623929.70985999376079
7439.7905555661.4932692660383-21.7027137060383
7552.0997222266.7364555920981-14.6367333720981
7652.1336111149.56759232057192.56601878942812
7733.0641.031883152062-7.97188315206195
7850.6088888951.699450981032-1.09056209103197
7920.43526.3808438166794-5.94584381667937
8054.1608333354.8871834071349-0.726350077134902
8146.5244444443.72185931598812.80258512401191
8239.9322222245.7424579708254-5.81023575082539
8376.5391666753.423574671074223.1155919989258
8467.5552777853.272677275698314.2826005043017
8550.8330555683.2373532025288-32.4042976425288
8637.6802777841.6872825686321-4.00700478863213
8742.3052777845.4550181761769-3.1497403961769
8833.3947222230.56806908709052.8266531329095
8996.2458333365.998839873633330.2469934563667
9040.4972222239.06117439100431.43604782899573
9153.7052777857.1554687296852-3.45019094968524
9222.4869444419.75339088910552.73355355089454
9334.1038888929.21475644698874.88913244301131
9436.2736111146.6862699061665-10.4126587961665
9531.2808333327.19660915241084.08422417758917
9679.5744444470.28326270116459.29118173883549
9766.9627777862.31534531798814.64743246201193
9841.23569.099034655314-27.864034655314
9956.8647222246.49006779454310.374654425457
10050.577555.0959862267515-4.51848622675153
10138.9844444438.07831393373910.906130506260932
10261.2544444446.039575406208415.2148690337916
10367.5166666753.776984104814113.7396825651859
10445.212546.7475130439191-1.53501304391912
10550.7258333351.6501247933023-0.924291463302318
10664.4827777863.52362135539150.959156424608522
10773.6994444484.4599833239601-10.7605388839601
10823.7705555625.7365018048876-1.96594624488763
10986.3441666766.259296940656320.0848697293437
11062.5166666769.532342495908-7.01567582590803
11164.532557.47780099435347.05469900564663
11240.2683333363.4552754838057-23.1869421538057
11312.0241666722.6425435480775-10.6183768780775
11443.26534.60918580721218.6558141927879
11545.752562.6064655614527-16.8539655614527
11656.0944444444.477522505758611.6169219342414
11765.4038888954.553051223615510.8508376663845
11861.3336111137.33786493394123.995746176059
11927.6294444460.1139722285113-32.4845277885113
12025.7391666731.5335462106953-5.79437954069527
12137.0355555633.14894167233763.88661388766235
12217.0447222228.2005337373316-11.1558115173316
12334.9805555634.5547311824380.425824377562012
12427.9861111161.7436141672963-33.7575030572963
12562.3747222253.46800332836368.90671889163639
12622.8655555616.85312185992796.01243370007213
12728.3361111128.23390996440030.102201145599708
12828.2008333334.7824823059871-6.5816489759871
12967.6419444463.27146575890064.37047868109938
1306.3716666671.455741911571394.91592475542861
13111.5461111115.5606645622647-4.01455345226474
13242.3538888948.4709081385628-6.11701924856277
13317.182516.48806840344080.694431596559173
13427.7563888938.0056434965203-10.2492546065203
13536.8019444441.0420290050739-4.24008456507392
13688.16557.46566563188930.699334368111
1375.8483333332.191773686865913.65655964613409
13858.2336111142.403372826402815.8302382835972
1396.29111111119.7100021016543-13.4188909906543
1408.72611111110.9406911815541-2.21458007055406
14112.9716666720.3746469205236-7.4029802505236
14236.5827777839.1907725537836-2.60799477378365
14325.4819444422.51907321861832.96287122138169
14467.9858333358.6120011080159.37383222198497
14551.2527777857.9324377228471-6.67965994284706
14622.1841666728.0191330006388-5.83496633063876
14735.6730555657.1720976587414-21.4990420987414
14827.177541.00789098259-13.83039098259
14910.61513.783121142729-3.16812114272897
15041.972545.3735642303975-3.4010642303975
15175.6827777861.188151476123114.4946263038769
15247.91556.7029975143032-8.78799751430316
15330.0119444429.52378892771340.488155512286559
15491.1408333361.77612466643629.364708663564
15569.6052777863.79148087913835.81379690086168
15697.5186111190.74983852366116.76877258633894
15743.8930555639.70168403363124.19137152636881
15827.4627777815.879233366113911.5835444138861
15923.7330555636.1032477030828-12.3701921430828
16063.6783333397.8875315066343-34.2091981766343
16197.6719444481.270381353598316.4015630864017
16223.3908333345.8600289449223-22.4691956149223
16333.4569444447.8236789342346-14.3667344942346
16490.1661111175.398618811913314.7674922980867
16536.4080555645.1268430623889-8.71878750238889
16656.7419444446.32562610458610.416318335414
16745.9841666746.0751661197689-0.090999449768938
16839.3672222253.8505869284474-14.4833647084474
16932.2355555634.117280000487-1.88172444048705
17069.457545.528331946931223.9291680530688
17183.2708333361.018530587461222.2523027425388
17254.3994444454.5858682381582-0.186423798158193
17348.1277777835.238260925954912.8895168540451
17470.6911111164.55506634926116.13604476073892
17528.9969444459.9287394616361-30.9317950216361
17637.8011111119.511360520302918.2897505896971
17755.4161.7313364884196-6.32133648841959
17825.6941666722.59833507205613.09583159794394
17962.3138888969.0843495415308-6.77046065153076
18037.7169444420.086734555928317.6302098840717
18120.6688888925.8501854936178-5.18129660361776
18222.5666666734.5610922589493-11.9944255889493
1834.081.57590224140562.5040977585944
18450.4536111148.10613257771272.34747853228732
18575.5155555659.753337543636915.7622180163631
1861.999722222-0.4306938924234332.43041611442343
18712.961111117.683029809839245.27808130016076
1884.8741666670.6762457338304644.19792093316954
18937.0466666724.124614992935512.9220516770645
19026.4519444435.4041343926743-8.95218995267428
19142.3891666739.80818657536582.58098009463422
19227.2627777824.87226805164792.39050972835206
19322.1163888920.24450489373661.87188399626339
19416.4427777829.4268087842325-12.9840310042325
19538.8727777835.53985589524983.33292188475018
19632.9477777823.31373862544179.63403915455835
19720.2444444424.0270224160835-3.78257797608353
19818.187523.7007275656941-5.5132275656941
19927.6786111133.4224235616888-5.74381245168884
20019.9902777825.4520453869061-5.46176760690613
20121.4644444428.9892873437578-7.52484290375779
20213.6913888921.7818911193051-8.0905022293051
20337.5363888931.15123328183056.38515560816952
20430.1238888933.1857840044598-3.0618951144598
20524.9294444424.1791628248870.750281615112988
20612.3044444421.8218634287062-9.5174189887062
20721.5688888924.9097853702132-3.3408964802132
20850.4244444429.997399158653520.4270452813465
20937.227529.16848769141918.05901230858089
21034.4622222227.7081027934386.75411942656202
21125.7305555616.96219927802568.76835628197445
21233.8466666725.21986321310258.62680345689752
21314.6986111118.5332752916975-3.83466418169749
21422.7422222225.5487529544869-2.80653073448686
21516.3836111130.8441615182026-14.4605504082026
21614.8652777822.998287181247-8.13300940124704
21716.8922222222.2363015205814-5.34407930058143
21815.6597222221.9602304480825-6.30050822808245
21918.1916666718.18964790604290.00201876395710649
22022.4858333316.90483482050565.58099850949444
22121.19525.4233858111807-4.22838581118065
22228.8919444438.4346112871083-9.54266684710829
22327.2511111128.1167965631074-0.865685453107409
22418.8858333321.9632639327867-3.07743060278665
2258.60805555614.4054380574195-5.79738250141951
22637.6272222230.26604620029467.36117601970537
22720.4177777817.85096599486832.56681178513168
22817.5341666727.6796225864354-10.1454559164354
22917.01521.8595570031865-4.84455700318646
23020.8094444433.3196810227863-12.5102365827863
2318.82611111116.6601939099421-7.83408279894206
23222.6213888922.47892365449990.142465235500051
23324.2183333331.1937005316649-6.9753672016649
23413.9138888918.8324202814491-4.91853139144908
23518.262532.8763322113682-14.6138322113682
23615.7369444426.9442216996415-11.2072772596415
23743.9997222226.335743458344317.6639787616557
23812.9041666717.1457381223873-4.24157145238726
23920.4511111119.55116604187070.899945068129341
24010.6652777820.0554868325922-9.39020905259217
24125.527523.86749260628291.66000739371709
24238.7572222259.1981505779067-20.4409283579067
24314.4925.3818618027551-10.8918618027551
24414.3241666720.409055275244-6.08488860524402
24519.597521.7072439690444-2.10974396904438
24623.5711111124.5650769202614-0.993965810261396
24728.4827777830.9241066547734-2.44132887477338
24824.0772222223.79419128056340.283030939436571
24923.8080555622.39132020834311.41673535165694
2509.62833333314.8263776437337-5.19804431073369
25141.8277777840.89884200547220.928935774527776
25227.6697222229.5688179552529-1.89909573525287
2535.3747222222.175347174306143.19937504769386
25427.6036111131.5739159560815-3.97030484608154
25523.9527777824.4168698299866-0.464092049986622
2568.5658333336.055069823370112.51076350962989
2578.80722222212.760667048474-3.953444826474
25824.9461111124.8071972108440.138913899156033
25917.2466666721.484496170199-4.23782950019902
26011.1530555613.992617194594-2.83956163459399
2617.67611111115.4849959238257-7.8088848128257
26221.3861111121.0891246153580.296986494641965
26310.405555568.692504523689741.71305103631026
26415.0436111116.7180340134818-1.67442290348183
26513.8505555623.5627444026112-9.71218884261123
26623.4269444418.77699089821324.64995354178677
26717.8263888925.1732912275274-7.34690233752736
26816.49523.4096785171705-6.91467851717047
26933.1411111121.060905229578912.0802058804211
27021.3061111133.8023164747576-12.4962053647576
27128.7291666732.8212120682327-4.09204539823265
27219.5421.4565848163936-1.91658481639356
27312.058333333.989720172485028.06861315751498
27429.1216666726.77917721698472.34248945301532
27517.2819444415.30937469370281.97256974629724
27619.2511111123.055417668483-3.80430655848297
27714.7547222217.7445912901719-2.98986907017185
2785.493.459953004644132.03004699535587
27924.0777777819.62646461303254.45131316696754
28023.362518.64380760780074.71869239219932
28121.6513888920.96996040259870.681428487401268
28224.7536111131.9500194265361-7.19640831653609
28325.2791666718.67926533717596.59990133282409
28411.185.839119315226915.34088068477309
28517.8297222219.7014151658882-1.87169294588824
28614.1269444423.9421080669012-9.81516362690122
28715.7258333312.75073960790342.97509372209663
28817.4422222222.83760207287-5.39537985287003
28920.1486111116.33624566728233.81236544271774

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 58.58527778 & 52.8175514206128 & 5.7677263593872 \tabularnewline
2 & 33.60611111 & 46.6603433895033 & -13.0542322795033 \tabularnewline
3 & 49.03 & 53.0187783819461 & -3.98877838194614 \tabularnewline
4 & 49.81138889 & 59.184821453301 & -9.37343256330099 \tabularnewline
5 & 34.21805556 & 30.37894078109 & 3.83911477891 \tabularnewline
6 & 14.65166667 & 34.6588343398967 & -20.0071676698967 \tabularnewline
7 & 107.0927778 & 59.4570555272565 & 47.6357222727435 \tabularnewline
8 & 9.213888889 & 19.3300795332826 & -10.1161906442826 \tabularnewline
9 & 28.23472222 & 24.6368716804359 & 3.59785053956406 \tabularnewline
10 & 41.40583333 & 47.6190077074946 & -6.2131743774946 \tabularnewline
11 & 45.95722222 & 34.0813976022734 & 11.8758246177266 \tabularnewline
12 & 65.8925 & 57.6309359607295 & 8.26156403927047 \tabularnewline
13 & 48.14611111 & 63.8675524458888 & -15.7214413358888 \tabularnewline
14 & 36.98083333 & 43.1977318904127 & -6.21689856041271 \tabularnewline
15 & 71.90916667 & 55.4917639953013 & 16.4174026746987 \tabularnewline
16 & 50.02305556 & 48.1371122186726 & 1.88594334132741 \tabularnewline
17 & 90.22194444 & 87.0246857610817 & 3.19725867891826 \tabularnewline
18 & 64.15666667 & 55.7686432539496 & 8.38802341605038 \tabularnewline
19 & 65.77361111 & 67.4710798527269 & -1.69746874272688 \tabularnewline
20 & 37.63138889 & 41.8811266997631 & -4.24973780976306 \tabularnewline
21 & 56.36805556 & 58.7892734699555 & -2.42121790995551 \tabularnewline
22 & 59.76305556 & 55.3313169688185 & 4.43173859118154 \tabularnewline
23 & 95.63805556 & 49.9079541497229 & 45.7301014102771 \tabularnewline
24 & 42.75972222 & 35.4427787781604 & 7.3169434418396 \tabularnewline
25 & 36.92861111 & 52.6949316064188 & -15.7663204964188 \tabularnewline
26 & 48.53444444 & 57.2795270578293 & -8.74508261782935 \tabularnewline
27 & 48.44861111 & 59.4870486918127 & -11.0384375818127 \tabularnewline
28 & 62.65222222 & 62.9377844415358 & -0.285562221535815 \tabularnewline
29 & 62.12 & 52.4099039127903 & 9.71009608720966 \tabularnewline
30 & 34.67138889 & 31.210141141685 & 3.46124774831499 \tabularnewline
31 & 61.58277778 & 46.2865525934723 & 15.2962251865277 \tabularnewline
32 & 58.54638889 & 58.2862840611359 & 0.260104828864123 \tabularnewline
33 & 47.29611111 & 56.3156636685525 & -9.01955255855255 \tabularnewline
34 & 72.37805556 & 63.0710693349355 & 9.30698622506455 \tabularnewline
35 & 23.57027778 & 37.8245904329544 & -14.2543126529544 \tabularnewline
36 & 81.78444444 & 58.3714630347075 & 23.4129814052925 \tabularnewline
37 & 28.05861111 & 20.5879029752207 & 7.47070813477935 \tabularnewline
38 & 59.90027778 & 42.029821492982 & 17.870456287018 \tabularnewline
39 & 90.3075 & 62.2009241632125 & 28.1065758367875 \tabularnewline
40 & 1.993333333 & 2.54017132662263 & -0.546837993622633 \tabularnewline
41 & 46.53944444 & 44.1257357933947 & 2.41370864660534 \tabularnewline
42 & 29.55777778 & 20.9031964093056 & 8.65458137069444 \tabularnewline
43 & 26.82222222 & 33.190828351033 & -6.36860613103295 \tabularnewline
44 & 73.82472222 & 71.7990509576548 & 2.02567126234515 \tabularnewline
45 & 74.90305556 & 48.3236301555017 & 26.5794254044983 \tabularnewline
46 & 41.42 & 47.500229385368 & -6.08022938536803 \tabularnewline
47 & 48.84 & 46.0296829774124 & 2.81031702258762 \tabularnewline
48 & 42.46416667 & 46.3203707363824 & -3.85620406638239 \tabularnewline
49 & 31.01805556 & 35.130496952398 & -4.11244139239801 \tabularnewline
50 & 32.33555556 & 53.5021675481637 & -21.1666119881637 \tabularnewline
51 & 100.6391667 & 69.4819261147819 & 31.1572405852181 \tabularnewline
52 & 21.88888889 & 32.8225124141153 & -10.9336235241153 \tabularnewline
53 & 50.87972222 & 56.6995853571876 & -5.81986313718763 \tabularnewline
54 & 77.2125 & 72.12966226197 & 5.08283773802998 \tabularnewline
55 & 41.84138889 & 44.9564062148529 & -3.11501732485287 \tabularnewline
56 & 46.89138889 & 47.0140715314252 & -0.122682641425188 \tabularnewline
57 & 6.718888889 & 7.93202698187471 & -1.21313809287471 \tabularnewline
58 & 91.46305556 & 110.746555228813 & -19.283499668813 \tabularnewline
59 & 18.06361111 & 20.7546754128169 & -2.69106430281695 \tabularnewline
60 & 28.0825 & 29.5349075048478 & -1.45240750484781 \tabularnewline
61 & 60.81833333 & 42.9061644481047 & 17.9121688818953 \tabularnewline
62 & 67.79222222 & 71.2075129260499 & -3.41529070604994 \tabularnewline
63 & 94.88055556 & 75.2977419517187 & 19.5828136082813 \tabularnewline
64 & 28.77694444 & 24.3382159531308 & 4.43872848686924 \tabularnewline
65 & 64.81333333 & 71.8970215165601 & -7.08368818656011 \tabularnewline
66 & 71.23944444 & 67.4576423817498 & 3.78180205825015 \tabularnewline
67 & 57.26694444 & 48.4133933139997 & 8.85355112600026 \tabularnewline
68 & 86.52027778 & 75.9769731113978 & 10.5433046686022 \tabularnewline
69 & 65.5 & 63.6893053684179 & 1.81069463158206 \tabularnewline
70 & 49.4275 & 52.3687066999123 & -2.94120669991233 \tabularnewline
71 & 57.54888889 & 53.411574715245 & 4.13731417475499 \tabularnewline
72 & 54.59805556 & 49.4265129471232 & 5.17154261287677 \tabularnewline
73 & 48.38444444 & 38.6745844462392 & 9.70985999376079 \tabularnewline
74 & 39.79055556 & 61.4932692660383 & -21.7027137060383 \tabularnewline
75 & 52.09972222 & 66.7364555920981 & -14.6367333720981 \tabularnewline
76 & 52.13361111 & 49.5675923205719 & 2.56601878942812 \tabularnewline
77 & 33.06 & 41.031883152062 & -7.97188315206195 \tabularnewline
78 & 50.60888889 & 51.699450981032 & -1.09056209103197 \tabularnewline
79 & 20.435 & 26.3808438166794 & -5.94584381667937 \tabularnewline
80 & 54.16083333 & 54.8871834071349 & -0.726350077134902 \tabularnewline
81 & 46.52444444 & 43.7218593159881 & 2.80258512401191 \tabularnewline
82 & 39.93222222 & 45.7424579708254 & -5.81023575082539 \tabularnewline
83 & 76.53916667 & 53.4235746710742 & 23.1155919989258 \tabularnewline
84 & 67.55527778 & 53.2726772756983 & 14.2826005043017 \tabularnewline
85 & 50.83305556 & 83.2373532025288 & -32.4042976425288 \tabularnewline
86 & 37.68027778 & 41.6872825686321 & -4.00700478863213 \tabularnewline
87 & 42.30527778 & 45.4550181761769 & -3.1497403961769 \tabularnewline
88 & 33.39472222 & 30.5680690870905 & 2.8266531329095 \tabularnewline
89 & 96.24583333 & 65.9988398736333 & 30.2469934563667 \tabularnewline
90 & 40.49722222 & 39.0611743910043 & 1.43604782899573 \tabularnewline
91 & 53.70527778 & 57.1554687296852 & -3.45019094968524 \tabularnewline
92 & 22.48694444 & 19.7533908891055 & 2.73355355089454 \tabularnewline
93 & 34.10388889 & 29.2147564469887 & 4.88913244301131 \tabularnewline
94 & 36.27361111 & 46.6862699061665 & -10.4126587961665 \tabularnewline
95 & 31.28083333 & 27.1966091524108 & 4.08422417758917 \tabularnewline
96 & 79.57444444 & 70.2832627011645 & 9.29118173883549 \tabularnewline
97 & 66.96277778 & 62.3153453179881 & 4.64743246201193 \tabularnewline
98 & 41.235 & 69.099034655314 & -27.864034655314 \tabularnewline
99 & 56.86472222 & 46.490067794543 & 10.374654425457 \tabularnewline
100 & 50.5775 & 55.0959862267515 & -4.51848622675153 \tabularnewline
101 & 38.98444444 & 38.0783139337391 & 0.906130506260932 \tabularnewline
102 & 61.25444444 & 46.0395754062084 & 15.2148690337916 \tabularnewline
103 & 67.51666667 & 53.7769841048141 & 13.7396825651859 \tabularnewline
104 & 45.2125 & 46.7475130439191 & -1.53501304391912 \tabularnewline
105 & 50.72583333 & 51.6501247933023 & -0.924291463302318 \tabularnewline
106 & 64.48277778 & 63.5236213553915 & 0.959156424608522 \tabularnewline
107 & 73.69944444 & 84.4599833239601 & -10.7605388839601 \tabularnewline
108 & 23.77055556 & 25.7365018048876 & -1.96594624488763 \tabularnewline
109 & 86.34416667 & 66.2592969406563 & 20.0848697293437 \tabularnewline
110 & 62.51666667 & 69.532342495908 & -7.01567582590803 \tabularnewline
111 & 64.5325 & 57.4778009943534 & 7.05469900564663 \tabularnewline
112 & 40.26833333 & 63.4552754838057 & -23.1869421538057 \tabularnewline
113 & 12.02416667 & 22.6425435480775 & -10.6183768780775 \tabularnewline
114 & 43.265 & 34.6091858072121 & 8.6558141927879 \tabularnewline
115 & 45.7525 & 62.6064655614527 & -16.8539655614527 \tabularnewline
116 & 56.09444444 & 44.4775225057586 & 11.6169219342414 \tabularnewline
117 & 65.40388889 & 54.5530512236155 & 10.8508376663845 \tabularnewline
118 & 61.33361111 & 37.337864933941 & 23.995746176059 \tabularnewline
119 & 27.62944444 & 60.1139722285113 & -32.4845277885113 \tabularnewline
120 & 25.73916667 & 31.5335462106953 & -5.79437954069527 \tabularnewline
121 & 37.03555556 & 33.1489416723376 & 3.88661388766235 \tabularnewline
122 & 17.04472222 & 28.2005337373316 & -11.1558115173316 \tabularnewline
123 & 34.98055556 & 34.554731182438 & 0.425824377562012 \tabularnewline
124 & 27.98611111 & 61.7436141672963 & -33.7575030572963 \tabularnewline
125 & 62.37472222 & 53.4680033283636 & 8.90671889163639 \tabularnewline
126 & 22.86555556 & 16.8531218599279 & 6.01243370007213 \tabularnewline
127 & 28.33611111 & 28.2339099644003 & 0.102201145599708 \tabularnewline
128 & 28.20083333 & 34.7824823059871 & -6.5816489759871 \tabularnewline
129 & 67.64194444 & 63.2714657589006 & 4.37047868109938 \tabularnewline
130 & 6.371666667 & 1.45574191157139 & 4.91592475542861 \tabularnewline
131 & 11.54611111 & 15.5606645622647 & -4.01455345226474 \tabularnewline
132 & 42.35388889 & 48.4709081385628 & -6.11701924856277 \tabularnewline
133 & 17.1825 & 16.4880684034408 & 0.694431596559173 \tabularnewline
134 & 27.75638889 & 38.0056434965203 & -10.2492546065203 \tabularnewline
135 & 36.80194444 & 41.0420290050739 & -4.24008456507392 \tabularnewline
136 & 88.165 & 57.465665631889 & 30.699334368111 \tabularnewline
137 & 5.848333333 & 2.19177368686591 & 3.65655964613409 \tabularnewline
138 & 58.23361111 & 42.4033728264028 & 15.8302382835972 \tabularnewline
139 & 6.291111111 & 19.7100021016543 & -13.4188909906543 \tabularnewline
140 & 8.726111111 & 10.9406911815541 & -2.21458007055406 \tabularnewline
141 & 12.97166667 & 20.3746469205236 & -7.4029802505236 \tabularnewline
142 & 36.58277778 & 39.1907725537836 & -2.60799477378365 \tabularnewline
143 & 25.48194444 & 22.5190732186183 & 2.96287122138169 \tabularnewline
144 & 67.98583333 & 58.612001108015 & 9.37383222198497 \tabularnewline
145 & 51.25277778 & 57.9324377228471 & -6.67965994284706 \tabularnewline
146 & 22.18416667 & 28.0191330006388 & -5.83496633063876 \tabularnewline
147 & 35.67305556 & 57.1720976587414 & -21.4990420987414 \tabularnewline
148 & 27.1775 & 41.00789098259 & -13.83039098259 \tabularnewline
149 & 10.615 & 13.783121142729 & -3.16812114272897 \tabularnewline
150 & 41.9725 & 45.3735642303975 & -3.4010642303975 \tabularnewline
151 & 75.68277778 & 61.1881514761231 & 14.4946263038769 \tabularnewline
152 & 47.915 & 56.7029975143032 & -8.78799751430316 \tabularnewline
153 & 30.01194444 & 29.5237889277134 & 0.488155512286559 \tabularnewline
154 & 91.14083333 & 61.776124666436 & 29.364708663564 \tabularnewline
155 & 69.60527778 & 63.7914808791383 & 5.81379690086168 \tabularnewline
156 & 97.51861111 & 90.7498385236611 & 6.76877258633894 \tabularnewline
157 & 43.89305556 & 39.7016840336312 & 4.19137152636881 \tabularnewline
158 & 27.46277778 & 15.8792333661139 & 11.5835444138861 \tabularnewline
159 & 23.73305556 & 36.1032477030828 & -12.3701921430828 \tabularnewline
160 & 63.67833333 & 97.8875315066343 & -34.2091981766343 \tabularnewline
161 & 97.67194444 & 81.2703813535983 & 16.4015630864017 \tabularnewline
162 & 23.39083333 & 45.8600289449223 & -22.4691956149223 \tabularnewline
163 & 33.45694444 & 47.8236789342346 & -14.3667344942346 \tabularnewline
164 & 90.16611111 & 75.3986188119133 & 14.7674922980867 \tabularnewline
165 & 36.40805556 & 45.1268430623889 & -8.71878750238889 \tabularnewline
166 & 56.74194444 & 46.325626104586 & 10.416318335414 \tabularnewline
167 & 45.98416667 & 46.0751661197689 & -0.090999449768938 \tabularnewline
168 & 39.36722222 & 53.8505869284474 & -14.4833647084474 \tabularnewline
169 & 32.23555556 & 34.117280000487 & -1.88172444048705 \tabularnewline
170 & 69.4575 & 45.5283319469312 & 23.9291680530688 \tabularnewline
171 & 83.27083333 & 61.0185305874612 & 22.2523027425388 \tabularnewline
172 & 54.39944444 & 54.5858682381582 & -0.186423798158193 \tabularnewline
173 & 48.12777778 & 35.2382609259549 & 12.8895168540451 \tabularnewline
174 & 70.69111111 & 64.5550663492611 & 6.13604476073892 \tabularnewline
175 & 28.99694444 & 59.9287394616361 & -30.9317950216361 \tabularnewline
176 & 37.80111111 & 19.5113605203029 & 18.2897505896971 \tabularnewline
177 & 55.41 & 61.7313364884196 & -6.32133648841959 \tabularnewline
178 & 25.69416667 & 22.5983350720561 & 3.09583159794394 \tabularnewline
179 & 62.31388889 & 69.0843495415308 & -6.77046065153076 \tabularnewline
180 & 37.71694444 & 20.0867345559283 & 17.6302098840717 \tabularnewline
181 & 20.66888889 & 25.8501854936178 & -5.18129660361776 \tabularnewline
182 & 22.56666667 & 34.5610922589493 & -11.9944255889493 \tabularnewline
183 & 4.08 & 1.5759022414056 & 2.5040977585944 \tabularnewline
184 & 50.45361111 & 48.1061325777127 & 2.34747853228732 \tabularnewline
185 & 75.51555556 & 59.7533375436369 & 15.7622180163631 \tabularnewline
186 & 1.999722222 & -0.430693892423433 & 2.43041611442343 \tabularnewline
187 & 12.96111111 & 7.68302980983924 & 5.27808130016076 \tabularnewline
188 & 4.874166667 & 0.676245733830464 & 4.19792093316954 \tabularnewline
189 & 37.04666667 & 24.1246149929355 & 12.9220516770645 \tabularnewline
190 & 26.45194444 & 35.4041343926743 & -8.95218995267428 \tabularnewline
191 & 42.38916667 & 39.8081865753658 & 2.58098009463422 \tabularnewline
192 & 27.26277778 & 24.8722680516479 & 2.39050972835206 \tabularnewline
193 & 22.11638889 & 20.2445048937366 & 1.87188399626339 \tabularnewline
194 & 16.44277778 & 29.4268087842325 & -12.9840310042325 \tabularnewline
195 & 38.87277778 & 35.5398558952498 & 3.33292188475018 \tabularnewline
196 & 32.94777778 & 23.3137386254417 & 9.63403915455835 \tabularnewline
197 & 20.24444444 & 24.0270224160835 & -3.78257797608353 \tabularnewline
198 & 18.1875 & 23.7007275656941 & -5.5132275656941 \tabularnewline
199 & 27.67861111 & 33.4224235616888 & -5.74381245168884 \tabularnewline
200 & 19.99027778 & 25.4520453869061 & -5.46176760690613 \tabularnewline
201 & 21.46444444 & 28.9892873437578 & -7.52484290375779 \tabularnewline
202 & 13.69138889 & 21.7818911193051 & -8.0905022293051 \tabularnewline
203 & 37.53638889 & 31.1512332818305 & 6.38515560816952 \tabularnewline
204 & 30.12388889 & 33.1857840044598 & -3.0618951144598 \tabularnewline
205 & 24.92944444 & 24.179162824887 & 0.750281615112988 \tabularnewline
206 & 12.30444444 & 21.8218634287062 & -9.5174189887062 \tabularnewline
207 & 21.56888889 & 24.9097853702132 & -3.3408964802132 \tabularnewline
208 & 50.42444444 & 29.9973991586535 & 20.4270452813465 \tabularnewline
209 & 37.2275 & 29.1684876914191 & 8.05901230858089 \tabularnewline
210 & 34.46222222 & 27.708102793438 & 6.75411942656202 \tabularnewline
211 & 25.73055556 & 16.9621992780256 & 8.76835628197445 \tabularnewline
212 & 33.84666667 & 25.2198632131025 & 8.62680345689752 \tabularnewline
213 & 14.69861111 & 18.5332752916975 & -3.83466418169749 \tabularnewline
214 & 22.74222222 & 25.5487529544869 & -2.80653073448686 \tabularnewline
215 & 16.38361111 & 30.8441615182026 & -14.4605504082026 \tabularnewline
216 & 14.86527778 & 22.998287181247 & -8.13300940124704 \tabularnewline
217 & 16.89222222 & 22.2363015205814 & -5.34407930058143 \tabularnewline
218 & 15.65972222 & 21.9602304480825 & -6.30050822808245 \tabularnewline
219 & 18.19166667 & 18.1896479060429 & 0.00201876395710649 \tabularnewline
220 & 22.48583333 & 16.9048348205056 & 5.58099850949444 \tabularnewline
221 & 21.195 & 25.4233858111807 & -4.22838581118065 \tabularnewline
222 & 28.89194444 & 38.4346112871083 & -9.54266684710829 \tabularnewline
223 & 27.25111111 & 28.1167965631074 & -0.865685453107409 \tabularnewline
224 & 18.88583333 & 21.9632639327867 & -3.07743060278665 \tabularnewline
225 & 8.608055556 & 14.4054380574195 & -5.79738250141951 \tabularnewline
226 & 37.62722222 & 30.2660462002946 & 7.36117601970537 \tabularnewline
227 & 20.41777778 & 17.8509659948683 & 2.56681178513168 \tabularnewline
228 & 17.53416667 & 27.6796225864354 & -10.1454559164354 \tabularnewline
229 & 17.015 & 21.8595570031865 & -4.84455700318646 \tabularnewline
230 & 20.80944444 & 33.3196810227863 & -12.5102365827863 \tabularnewline
231 & 8.826111111 & 16.6601939099421 & -7.83408279894206 \tabularnewline
232 & 22.62138889 & 22.4789236544999 & 0.142465235500051 \tabularnewline
233 & 24.21833333 & 31.1937005316649 & -6.9753672016649 \tabularnewline
234 & 13.91388889 & 18.8324202814491 & -4.91853139144908 \tabularnewline
235 & 18.2625 & 32.8763322113682 & -14.6138322113682 \tabularnewline
236 & 15.73694444 & 26.9442216996415 & -11.2072772596415 \tabularnewline
237 & 43.99972222 & 26.3357434583443 & 17.6639787616557 \tabularnewline
238 & 12.90416667 & 17.1457381223873 & -4.24157145238726 \tabularnewline
239 & 20.45111111 & 19.5511660418707 & 0.899945068129341 \tabularnewline
240 & 10.66527778 & 20.0554868325922 & -9.39020905259217 \tabularnewline
241 & 25.5275 & 23.8674926062829 & 1.66000739371709 \tabularnewline
242 & 38.75722222 & 59.1981505779067 & -20.4409283579067 \tabularnewline
243 & 14.49 & 25.3818618027551 & -10.8918618027551 \tabularnewline
244 & 14.32416667 & 20.409055275244 & -6.08488860524402 \tabularnewline
245 & 19.5975 & 21.7072439690444 & -2.10974396904438 \tabularnewline
246 & 23.57111111 & 24.5650769202614 & -0.993965810261396 \tabularnewline
247 & 28.48277778 & 30.9241066547734 & -2.44132887477338 \tabularnewline
248 & 24.07722222 & 23.7941912805634 & 0.283030939436571 \tabularnewline
249 & 23.80805556 & 22.3913202083431 & 1.41673535165694 \tabularnewline
250 & 9.628333333 & 14.8263776437337 & -5.19804431073369 \tabularnewline
251 & 41.82777778 & 40.8988420054722 & 0.928935774527776 \tabularnewline
252 & 27.66972222 & 29.5688179552529 & -1.89909573525287 \tabularnewline
253 & 5.374722222 & 2.17534717430614 & 3.19937504769386 \tabularnewline
254 & 27.60361111 & 31.5739159560815 & -3.97030484608154 \tabularnewline
255 & 23.95277778 & 24.4168698299866 & -0.464092049986622 \tabularnewline
256 & 8.565833333 & 6.05506982337011 & 2.51076350962989 \tabularnewline
257 & 8.807222222 & 12.760667048474 & -3.953444826474 \tabularnewline
258 & 24.94611111 & 24.807197210844 & 0.138913899156033 \tabularnewline
259 & 17.24666667 & 21.484496170199 & -4.23782950019902 \tabularnewline
260 & 11.15305556 & 13.992617194594 & -2.83956163459399 \tabularnewline
261 & 7.676111111 & 15.4849959238257 & -7.8088848128257 \tabularnewline
262 & 21.38611111 & 21.089124615358 & 0.296986494641965 \tabularnewline
263 & 10.40555556 & 8.69250452368974 & 1.71305103631026 \tabularnewline
264 & 15.04361111 & 16.7180340134818 & -1.67442290348183 \tabularnewline
265 & 13.85055556 & 23.5627444026112 & -9.71218884261123 \tabularnewline
266 & 23.42694444 & 18.7769908982132 & 4.64995354178677 \tabularnewline
267 & 17.82638889 & 25.1732912275274 & -7.34690233752736 \tabularnewline
268 & 16.495 & 23.4096785171705 & -6.91467851717047 \tabularnewline
269 & 33.14111111 & 21.0609052295789 & 12.0802058804211 \tabularnewline
270 & 21.30611111 & 33.8023164747576 & -12.4962053647576 \tabularnewline
271 & 28.72916667 & 32.8212120682327 & -4.09204539823265 \tabularnewline
272 & 19.54 & 21.4565848163936 & -1.91658481639356 \tabularnewline
273 & 12.05833333 & 3.98972017248502 & 8.06861315751498 \tabularnewline
274 & 29.12166667 & 26.7791772169847 & 2.34248945301532 \tabularnewline
275 & 17.28194444 & 15.3093746937028 & 1.97256974629724 \tabularnewline
276 & 19.25111111 & 23.055417668483 & -3.80430655848297 \tabularnewline
277 & 14.75472222 & 17.7445912901719 & -2.98986907017185 \tabularnewline
278 & 5.49 & 3.45995300464413 & 2.03004699535587 \tabularnewline
279 & 24.07777778 & 19.6264646130325 & 4.45131316696754 \tabularnewline
280 & 23.3625 & 18.6438076078007 & 4.71869239219932 \tabularnewline
281 & 21.65138889 & 20.9699604025987 & 0.681428487401268 \tabularnewline
282 & 24.75361111 & 31.9500194265361 & -7.19640831653609 \tabularnewline
283 & 25.27916667 & 18.6792653371759 & 6.59990133282409 \tabularnewline
284 & 11.18 & 5.83911931522691 & 5.34088068477309 \tabularnewline
285 & 17.82972222 & 19.7014151658882 & -1.87169294588824 \tabularnewline
286 & 14.12694444 & 23.9421080669012 & -9.81516362690122 \tabularnewline
287 & 15.72583333 & 12.7507396079034 & 2.97509372209663 \tabularnewline
288 & 17.44222222 & 22.83760207287 & -5.39537985287003 \tabularnewline
289 & 20.14861111 & 16.3362456672823 & 3.81236544271774 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199071&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]58.58527778[/C][C]52.8175514206128[/C][C]5.7677263593872[/C][/ROW]
[ROW][C]2[/C][C]33.60611111[/C][C]46.6603433895033[/C][C]-13.0542322795033[/C][/ROW]
[ROW][C]3[/C][C]49.03[/C][C]53.0187783819461[/C][C]-3.98877838194614[/C][/ROW]
[ROW][C]4[/C][C]49.81138889[/C][C]59.184821453301[/C][C]-9.37343256330099[/C][/ROW]
[ROW][C]5[/C][C]34.21805556[/C][C]30.37894078109[/C][C]3.83911477891[/C][/ROW]
[ROW][C]6[/C][C]14.65166667[/C][C]34.6588343398967[/C][C]-20.0071676698967[/C][/ROW]
[ROW][C]7[/C][C]107.0927778[/C][C]59.4570555272565[/C][C]47.6357222727435[/C][/ROW]
[ROW][C]8[/C][C]9.213888889[/C][C]19.3300795332826[/C][C]-10.1161906442826[/C][/ROW]
[ROW][C]9[/C][C]28.23472222[/C][C]24.6368716804359[/C][C]3.59785053956406[/C][/ROW]
[ROW][C]10[/C][C]41.40583333[/C][C]47.6190077074946[/C][C]-6.2131743774946[/C][/ROW]
[ROW][C]11[/C][C]45.95722222[/C][C]34.0813976022734[/C][C]11.8758246177266[/C][/ROW]
[ROW][C]12[/C][C]65.8925[/C][C]57.6309359607295[/C][C]8.26156403927047[/C][/ROW]
[ROW][C]13[/C][C]48.14611111[/C][C]63.8675524458888[/C][C]-15.7214413358888[/C][/ROW]
[ROW][C]14[/C][C]36.98083333[/C][C]43.1977318904127[/C][C]-6.21689856041271[/C][/ROW]
[ROW][C]15[/C][C]71.90916667[/C][C]55.4917639953013[/C][C]16.4174026746987[/C][/ROW]
[ROW][C]16[/C][C]50.02305556[/C][C]48.1371122186726[/C][C]1.88594334132741[/C][/ROW]
[ROW][C]17[/C][C]90.22194444[/C][C]87.0246857610817[/C][C]3.19725867891826[/C][/ROW]
[ROW][C]18[/C][C]64.15666667[/C][C]55.7686432539496[/C][C]8.38802341605038[/C][/ROW]
[ROW][C]19[/C][C]65.77361111[/C][C]67.4710798527269[/C][C]-1.69746874272688[/C][/ROW]
[ROW][C]20[/C][C]37.63138889[/C][C]41.8811266997631[/C][C]-4.24973780976306[/C][/ROW]
[ROW][C]21[/C][C]56.36805556[/C][C]58.7892734699555[/C][C]-2.42121790995551[/C][/ROW]
[ROW][C]22[/C][C]59.76305556[/C][C]55.3313169688185[/C][C]4.43173859118154[/C][/ROW]
[ROW][C]23[/C][C]95.63805556[/C][C]49.9079541497229[/C][C]45.7301014102771[/C][/ROW]
[ROW][C]24[/C][C]42.75972222[/C][C]35.4427787781604[/C][C]7.3169434418396[/C][/ROW]
[ROW][C]25[/C][C]36.92861111[/C][C]52.6949316064188[/C][C]-15.7663204964188[/C][/ROW]
[ROW][C]26[/C][C]48.53444444[/C][C]57.2795270578293[/C][C]-8.74508261782935[/C][/ROW]
[ROW][C]27[/C][C]48.44861111[/C][C]59.4870486918127[/C][C]-11.0384375818127[/C][/ROW]
[ROW][C]28[/C][C]62.65222222[/C][C]62.9377844415358[/C][C]-0.285562221535815[/C][/ROW]
[ROW][C]29[/C][C]62.12[/C][C]52.4099039127903[/C][C]9.71009608720966[/C][/ROW]
[ROW][C]30[/C][C]34.67138889[/C][C]31.210141141685[/C][C]3.46124774831499[/C][/ROW]
[ROW][C]31[/C][C]61.58277778[/C][C]46.2865525934723[/C][C]15.2962251865277[/C][/ROW]
[ROW][C]32[/C][C]58.54638889[/C][C]58.2862840611359[/C][C]0.260104828864123[/C][/ROW]
[ROW][C]33[/C][C]47.29611111[/C][C]56.3156636685525[/C][C]-9.01955255855255[/C][/ROW]
[ROW][C]34[/C][C]72.37805556[/C][C]63.0710693349355[/C][C]9.30698622506455[/C][/ROW]
[ROW][C]35[/C][C]23.57027778[/C][C]37.8245904329544[/C][C]-14.2543126529544[/C][/ROW]
[ROW][C]36[/C][C]81.78444444[/C][C]58.3714630347075[/C][C]23.4129814052925[/C][/ROW]
[ROW][C]37[/C][C]28.05861111[/C][C]20.5879029752207[/C][C]7.47070813477935[/C][/ROW]
[ROW][C]38[/C][C]59.90027778[/C][C]42.029821492982[/C][C]17.870456287018[/C][/ROW]
[ROW][C]39[/C][C]90.3075[/C][C]62.2009241632125[/C][C]28.1065758367875[/C][/ROW]
[ROW][C]40[/C][C]1.993333333[/C][C]2.54017132662263[/C][C]-0.546837993622633[/C][/ROW]
[ROW][C]41[/C][C]46.53944444[/C][C]44.1257357933947[/C][C]2.41370864660534[/C][/ROW]
[ROW][C]42[/C][C]29.55777778[/C][C]20.9031964093056[/C][C]8.65458137069444[/C][/ROW]
[ROW][C]43[/C][C]26.82222222[/C][C]33.190828351033[/C][C]-6.36860613103295[/C][/ROW]
[ROW][C]44[/C][C]73.82472222[/C][C]71.7990509576548[/C][C]2.02567126234515[/C][/ROW]
[ROW][C]45[/C][C]74.90305556[/C][C]48.3236301555017[/C][C]26.5794254044983[/C][/ROW]
[ROW][C]46[/C][C]41.42[/C][C]47.500229385368[/C][C]-6.08022938536803[/C][/ROW]
[ROW][C]47[/C][C]48.84[/C][C]46.0296829774124[/C][C]2.81031702258762[/C][/ROW]
[ROW][C]48[/C][C]42.46416667[/C][C]46.3203707363824[/C][C]-3.85620406638239[/C][/ROW]
[ROW][C]49[/C][C]31.01805556[/C][C]35.130496952398[/C][C]-4.11244139239801[/C][/ROW]
[ROW][C]50[/C][C]32.33555556[/C][C]53.5021675481637[/C][C]-21.1666119881637[/C][/ROW]
[ROW][C]51[/C][C]100.6391667[/C][C]69.4819261147819[/C][C]31.1572405852181[/C][/ROW]
[ROW][C]52[/C][C]21.88888889[/C][C]32.8225124141153[/C][C]-10.9336235241153[/C][/ROW]
[ROW][C]53[/C][C]50.87972222[/C][C]56.6995853571876[/C][C]-5.81986313718763[/C][/ROW]
[ROW][C]54[/C][C]77.2125[/C][C]72.12966226197[/C][C]5.08283773802998[/C][/ROW]
[ROW][C]55[/C][C]41.84138889[/C][C]44.9564062148529[/C][C]-3.11501732485287[/C][/ROW]
[ROW][C]56[/C][C]46.89138889[/C][C]47.0140715314252[/C][C]-0.122682641425188[/C][/ROW]
[ROW][C]57[/C][C]6.718888889[/C][C]7.93202698187471[/C][C]-1.21313809287471[/C][/ROW]
[ROW][C]58[/C][C]91.46305556[/C][C]110.746555228813[/C][C]-19.283499668813[/C][/ROW]
[ROW][C]59[/C][C]18.06361111[/C][C]20.7546754128169[/C][C]-2.69106430281695[/C][/ROW]
[ROW][C]60[/C][C]28.0825[/C][C]29.5349075048478[/C][C]-1.45240750484781[/C][/ROW]
[ROW][C]61[/C][C]60.81833333[/C][C]42.9061644481047[/C][C]17.9121688818953[/C][/ROW]
[ROW][C]62[/C][C]67.79222222[/C][C]71.2075129260499[/C][C]-3.41529070604994[/C][/ROW]
[ROW][C]63[/C][C]94.88055556[/C][C]75.2977419517187[/C][C]19.5828136082813[/C][/ROW]
[ROW][C]64[/C][C]28.77694444[/C][C]24.3382159531308[/C][C]4.43872848686924[/C][/ROW]
[ROW][C]65[/C][C]64.81333333[/C][C]71.8970215165601[/C][C]-7.08368818656011[/C][/ROW]
[ROW][C]66[/C][C]71.23944444[/C][C]67.4576423817498[/C][C]3.78180205825015[/C][/ROW]
[ROW][C]67[/C][C]57.26694444[/C][C]48.4133933139997[/C][C]8.85355112600026[/C][/ROW]
[ROW][C]68[/C][C]86.52027778[/C][C]75.9769731113978[/C][C]10.5433046686022[/C][/ROW]
[ROW][C]69[/C][C]65.5[/C][C]63.6893053684179[/C][C]1.81069463158206[/C][/ROW]
[ROW][C]70[/C][C]49.4275[/C][C]52.3687066999123[/C][C]-2.94120669991233[/C][/ROW]
[ROW][C]71[/C][C]57.54888889[/C][C]53.411574715245[/C][C]4.13731417475499[/C][/ROW]
[ROW][C]72[/C][C]54.59805556[/C][C]49.4265129471232[/C][C]5.17154261287677[/C][/ROW]
[ROW][C]73[/C][C]48.38444444[/C][C]38.6745844462392[/C][C]9.70985999376079[/C][/ROW]
[ROW][C]74[/C][C]39.79055556[/C][C]61.4932692660383[/C][C]-21.7027137060383[/C][/ROW]
[ROW][C]75[/C][C]52.09972222[/C][C]66.7364555920981[/C][C]-14.6367333720981[/C][/ROW]
[ROW][C]76[/C][C]52.13361111[/C][C]49.5675923205719[/C][C]2.56601878942812[/C][/ROW]
[ROW][C]77[/C][C]33.06[/C][C]41.031883152062[/C][C]-7.97188315206195[/C][/ROW]
[ROW][C]78[/C][C]50.60888889[/C][C]51.699450981032[/C][C]-1.09056209103197[/C][/ROW]
[ROW][C]79[/C][C]20.435[/C][C]26.3808438166794[/C][C]-5.94584381667937[/C][/ROW]
[ROW][C]80[/C][C]54.16083333[/C][C]54.8871834071349[/C][C]-0.726350077134902[/C][/ROW]
[ROW][C]81[/C][C]46.52444444[/C][C]43.7218593159881[/C][C]2.80258512401191[/C][/ROW]
[ROW][C]82[/C][C]39.93222222[/C][C]45.7424579708254[/C][C]-5.81023575082539[/C][/ROW]
[ROW][C]83[/C][C]76.53916667[/C][C]53.4235746710742[/C][C]23.1155919989258[/C][/ROW]
[ROW][C]84[/C][C]67.55527778[/C][C]53.2726772756983[/C][C]14.2826005043017[/C][/ROW]
[ROW][C]85[/C][C]50.83305556[/C][C]83.2373532025288[/C][C]-32.4042976425288[/C][/ROW]
[ROW][C]86[/C][C]37.68027778[/C][C]41.6872825686321[/C][C]-4.00700478863213[/C][/ROW]
[ROW][C]87[/C][C]42.30527778[/C][C]45.4550181761769[/C][C]-3.1497403961769[/C][/ROW]
[ROW][C]88[/C][C]33.39472222[/C][C]30.5680690870905[/C][C]2.8266531329095[/C][/ROW]
[ROW][C]89[/C][C]96.24583333[/C][C]65.9988398736333[/C][C]30.2469934563667[/C][/ROW]
[ROW][C]90[/C][C]40.49722222[/C][C]39.0611743910043[/C][C]1.43604782899573[/C][/ROW]
[ROW][C]91[/C][C]53.70527778[/C][C]57.1554687296852[/C][C]-3.45019094968524[/C][/ROW]
[ROW][C]92[/C][C]22.48694444[/C][C]19.7533908891055[/C][C]2.73355355089454[/C][/ROW]
[ROW][C]93[/C][C]34.10388889[/C][C]29.2147564469887[/C][C]4.88913244301131[/C][/ROW]
[ROW][C]94[/C][C]36.27361111[/C][C]46.6862699061665[/C][C]-10.4126587961665[/C][/ROW]
[ROW][C]95[/C][C]31.28083333[/C][C]27.1966091524108[/C][C]4.08422417758917[/C][/ROW]
[ROW][C]96[/C][C]79.57444444[/C][C]70.2832627011645[/C][C]9.29118173883549[/C][/ROW]
[ROW][C]97[/C][C]66.96277778[/C][C]62.3153453179881[/C][C]4.64743246201193[/C][/ROW]
[ROW][C]98[/C][C]41.235[/C][C]69.099034655314[/C][C]-27.864034655314[/C][/ROW]
[ROW][C]99[/C][C]56.86472222[/C][C]46.490067794543[/C][C]10.374654425457[/C][/ROW]
[ROW][C]100[/C][C]50.5775[/C][C]55.0959862267515[/C][C]-4.51848622675153[/C][/ROW]
[ROW][C]101[/C][C]38.98444444[/C][C]38.0783139337391[/C][C]0.906130506260932[/C][/ROW]
[ROW][C]102[/C][C]61.25444444[/C][C]46.0395754062084[/C][C]15.2148690337916[/C][/ROW]
[ROW][C]103[/C][C]67.51666667[/C][C]53.7769841048141[/C][C]13.7396825651859[/C][/ROW]
[ROW][C]104[/C][C]45.2125[/C][C]46.7475130439191[/C][C]-1.53501304391912[/C][/ROW]
[ROW][C]105[/C][C]50.72583333[/C][C]51.6501247933023[/C][C]-0.924291463302318[/C][/ROW]
[ROW][C]106[/C][C]64.48277778[/C][C]63.5236213553915[/C][C]0.959156424608522[/C][/ROW]
[ROW][C]107[/C][C]73.69944444[/C][C]84.4599833239601[/C][C]-10.7605388839601[/C][/ROW]
[ROW][C]108[/C][C]23.77055556[/C][C]25.7365018048876[/C][C]-1.96594624488763[/C][/ROW]
[ROW][C]109[/C][C]86.34416667[/C][C]66.2592969406563[/C][C]20.0848697293437[/C][/ROW]
[ROW][C]110[/C][C]62.51666667[/C][C]69.532342495908[/C][C]-7.01567582590803[/C][/ROW]
[ROW][C]111[/C][C]64.5325[/C][C]57.4778009943534[/C][C]7.05469900564663[/C][/ROW]
[ROW][C]112[/C][C]40.26833333[/C][C]63.4552754838057[/C][C]-23.1869421538057[/C][/ROW]
[ROW][C]113[/C][C]12.02416667[/C][C]22.6425435480775[/C][C]-10.6183768780775[/C][/ROW]
[ROW][C]114[/C][C]43.265[/C][C]34.6091858072121[/C][C]8.6558141927879[/C][/ROW]
[ROW][C]115[/C][C]45.7525[/C][C]62.6064655614527[/C][C]-16.8539655614527[/C][/ROW]
[ROW][C]116[/C][C]56.09444444[/C][C]44.4775225057586[/C][C]11.6169219342414[/C][/ROW]
[ROW][C]117[/C][C]65.40388889[/C][C]54.5530512236155[/C][C]10.8508376663845[/C][/ROW]
[ROW][C]118[/C][C]61.33361111[/C][C]37.337864933941[/C][C]23.995746176059[/C][/ROW]
[ROW][C]119[/C][C]27.62944444[/C][C]60.1139722285113[/C][C]-32.4845277885113[/C][/ROW]
[ROW][C]120[/C][C]25.73916667[/C][C]31.5335462106953[/C][C]-5.79437954069527[/C][/ROW]
[ROW][C]121[/C][C]37.03555556[/C][C]33.1489416723376[/C][C]3.88661388766235[/C][/ROW]
[ROW][C]122[/C][C]17.04472222[/C][C]28.2005337373316[/C][C]-11.1558115173316[/C][/ROW]
[ROW][C]123[/C][C]34.98055556[/C][C]34.554731182438[/C][C]0.425824377562012[/C][/ROW]
[ROW][C]124[/C][C]27.98611111[/C][C]61.7436141672963[/C][C]-33.7575030572963[/C][/ROW]
[ROW][C]125[/C][C]62.37472222[/C][C]53.4680033283636[/C][C]8.90671889163639[/C][/ROW]
[ROW][C]126[/C][C]22.86555556[/C][C]16.8531218599279[/C][C]6.01243370007213[/C][/ROW]
[ROW][C]127[/C][C]28.33611111[/C][C]28.2339099644003[/C][C]0.102201145599708[/C][/ROW]
[ROW][C]128[/C][C]28.20083333[/C][C]34.7824823059871[/C][C]-6.5816489759871[/C][/ROW]
[ROW][C]129[/C][C]67.64194444[/C][C]63.2714657589006[/C][C]4.37047868109938[/C][/ROW]
[ROW][C]130[/C][C]6.371666667[/C][C]1.45574191157139[/C][C]4.91592475542861[/C][/ROW]
[ROW][C]131[/C][C]11.54611111[/C][C]15.5606645622647[/C][C]-4.01455345226474[/C][/ROW]
[ROW][C]132[/C][C]42.35388889[/C][C]48.4709081385628[/C][C]-6.11701924856277[/C][/ROW]
[ROW][C]133[/C][C]17.1825[/C][C]16.4880684034408[/C][C]0.694431596559173[/C][/ROW]
[ROW][C]134[/C][C]27.75638889[/C][C]38.0056434965203[/C][C]-10.2492546065203[/C][/ROW]
[ROW][C]135[/C][C]36.80194444[/C][C]41.0420290050739[/C][C]-4.24008456507392[/C][/ROW]
[ROW][C]136[/C][C]88.165[/C][C]57.465665631889[/C][C]30.699334368111[/C][/ROW]
[ROW][C]137[/C][C]5.848333333[/C][C]2.19177368686591[/C][C]3.65655964613409[/C][/ROW]
[ROW][C]138[/C][C]58.23361111[/C][C]42.4033728264028[/C][C]15.8302382835972[/C][/ROW]
[ROW][C]139[/C][C]6.291111111[/C][C]19.7100021016543[/C][C]-13.4188909906543[/C][/ROW]
[ROW][C]140[/C][C]8.726111111[/C][C]10.9406911815541[/C][C]-2.21458007055406[/C][/ROW]
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[ROW][C]142[/C][C]36.58277778[/C][C]39.1907725537836[/C][C]-2.60799477378365[/C][/ROW]
[ROW][C]143[/C][C]25.48194444[/C][C]22.5190732186183[/C][C]2.96287122138169[/C][/ROW]
[ROW][C]144[/C][C]67.98583333[/C][C]58.612001108015[/C][C]9.37383222198497[/C][/ROW]
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[ROW][C]146[/C][C]22.18416667[/C][C]28.0191330006388[/C][C]-5.83496633063876[/C][/ROW]
[ROW][C]147[/C][C]35.67305556[/C][C]57.1720976587414[/C][C]-21.4990420987414[/C][/ROW]
[ROW][C]148[/C][C]27.1775[/C][C]41.00789098259[/C][C]-13.83039098259[/C][/ROW]
[ROW][C]149[/C][C]10.615[/C][C]13.783121142729[/C][C]-3.16812114272897[/C][/ROW]
[ROW][C]150[/C][C]41.9725[/C][C]45.3735642303975[/C][C]-3.4010642303975[/C][/ROW]
[ROW][C]151[/C][C]75.68277778[/C][C]61.1881514761231[/C][C]14.4946263038769[/C][/ROW]
[ROW][C]152[/C][C]47.915[/C][C]56.7029975143032[/C][C]-8.78799751430316[/C][/ROW]
[ROW][C]153[/C][C]30.01194444[/C][C]29.5237889277134[/C][C]0.488155512286559[/C][/ROW]
[ROW][C]154[/C][C]91.14083333[/C][C]61.776124666436[/C][C]29.364708663564[/C][/ROW]
[ROW][C]155[/C][C]69.60527778[/C][C]63.7914808791383[/C][C]5.81379690086168[/C][/ROW]
[ROW][C]156[/C][C]97.51861111[/C][C]90.7498385236611[/C][C]6.76877258633894[/C][/ROW]
[ROW][C]157[/C][C]43.89305556[/C][C]39.7016840336312[/C][C]4.19137152636881[/C][/ROW]
[ROW][C]158[/C][C]27.46277778[/C][C]15.8792333661139[/C][C]11.5835444138861[/C][/ROW]
[ROW][C]159[/C][C]23.73305556[/C][C]36.1032477030828[/C][C]-12.3701921430828[/C][/ROW]
[ROW][C]160[/C][C]63.67833333[/C][C]97.8875315066343[/C][C]-34.2091981766343[/C][/ROW]
[ROW][C]161[/C][C]97.67194444[/C][C]81.2703813535983[/C][C]16.4015630864017[/C][/ROW]
[ROW][C]162[/C][C]23.39083333[/C][C]45.8600289449223[/C][C]-22.4691956149223[/C][/ROW]
[ROW][C]163[/C][C]33.45694444[/C][C]47.8236789342346[/C][C]-14.3667344942346[/C][/ROW]
[ROW][C]164[/C][C]90.16611111[/C][C]75.3986188119133[/C][C]14.7674922980867[/C][/ROW]
[ROW][C]165[/C][C]36.40805556[/C][C]45.1268430623889[/C][C]-8.71878750238889[/C][/ROW]
[ROW][C]166[/C][C]56.74194444[/C][C]46.325626104586[/C][C]10.416318335414[/C][/ROW]
[ROW][C]167[/C][C]45.98416667[/C][C]46.0751661197689[/C][C]-0.090999449768938[/C][/ROW]
[ROW][C]168[/C][C]39.36722222[/C][C]53.8505869284474[/C][C]-14.4833647084474[/C][/ROW]
[ROW][C]169[/C][C]32.23555556[/C][C]34.117280000487[/C][C]-1.88172444048705[/C][/ROW]
[ROW][C]170[/C][C]69.4575[/C][C]45.5283319469312[/C][C]23.9291680530688[/C][/ROW]
[ROW][C]171[/C][C]83.27083333[/C][C]61.0185305874612[/C][C]22.2523027425388[/C][/ROW]
[ROW][C]172[/C][C]54.39944444[/C][C]54.5858682381582[/C][C]-0.186423798158193[/C][/ROW]
[ROW][C]173[/C][C]48.12777778[/C][C]35.2382609259549[/C][C]12.8895168540451[/C][/ROW]
[ROW][C]174[/C][C]70.69111111[/C][C]64.5550663492611[/C][C]6.13604476073892[/C][/ROW]
[ROW][C]175[/C][C]28.99694444[/C][C]59.9287394616361[/C][C]-30.9317950216361[/C][/ROW]
[ROW][C]176[/C][C]37.80111111[/C][C]19.5113605203029[/C][C]18.2897505896971[/C][/ROW]
[ROW][C]177[/C][C]55.41[/C][C]61.7313364884196[/C][C]-6.32133648841959[/C][/ROW]
[ROW][C]178[/C][C]25.69416667[/C][C]22.5983350720561[/C][C]3.09583159794394[/C][/ROW]
[ROW][C]179[/C][C]62.31388889[/C][C]69.0843495415308[/C][C]-6.77046065153076[/C][/ROW]
[ROW][C]180[/C][C]37.71694444[/C][C]20.0867345559283[/C][C]17.6302098840717[/C][/ROW]
[ROW][C]181[/C][C]20.66888889[/C][C]25.8501854936178[/C][C]-5.18129660361776[/C][/ROW]
[ROW][C]182[/C][C]22.56666667[/C][C]34.5610922589493[/C][C]-11.9944255889493[/C][/ROW]
[ROW][C]183[/C][C]4.08[/C][C]1.5759022414056[/C][C]2.5040977585944[/C][/ROW]
[ROW][C]184[/C][C]50.45361111[/C][C]48.1061325777127[/C][C]2.34747853228732[/C][/ROW]
[ROW][C]185[/C][C]75.51555556[/C][C]59.7533375436369[/C][C]15.7622180163631[/C][/ROW]
[ROW][C]186[/C][C]1.999722222[/C][C]-0.430693892423433[/C][C]2.43041611442343[/C][/ROW]
[ROW][C]187[/C][C]12.96111111[/C][C]7.68302980983924[/C][C]5.27808130016076[/C][/ROW]
[ROW][C]188[/C][C]4.874166667[/C][C]0.676245733830464[/C][C]4.19792093316954[/C][/ROW]
[ROW][C]189[/C][C]37.04666667[/C][C]24.1246149929355[/C][C]12.9220516770645[/C][/ROW]
[ROW][C]190[/C][C]26.45194444[/C][C]35.4041343926743[/C][C]-8.95218995267428[/C][/ROW]
[ROW][C]191[/C][C]42.38916667[/C][C]39.8081865753658[/C][C]2.58098009463422[/C][/ROW]
[ROW][C]192[/C][C]27.26277778[/C][C]24.8722680516479[/C][C]2.39050972835206[/C][/ROW]
[ROW][C]193[/C][C]22.11638889[/C][C]20.2445048937366[/C][C]1.87188399626339[/C][/ROW]
[ROW][C]194[/C][C]16.44277778[/C][C]29.4268087842325[/C][C]-12.9840310042325[/C][/ROW]
[ROW][C]195[/C][C]38.87277778[/C][C]35.5398558952498[/C][C]3.33292188475018[/C][/ROW]
[ROW][C]196[/C][C]32.94777778[/C][C]23.3137386254417[/C][C]9.63403915455835[/C][/ROW]
[ROW][C]197[/C][C]20.24444444[/C][C]24.0270224160835[/C][C]-3.78257797608353[/C][/ROW]
[ROW][C]198[/C][C]18.1875[/C][C]23.7007275656941[/C][C]-5.5132275656941[/C][/ROW]
[ROW][C]199[/C][C]27.67861111[/C][C]33.4224235616888[/C][C]-5.74381245168884[/C][/ROW]
[ROW][C]200[/C][C]19.99027778[/C][C]25.4520453869061[/C][C]-5.46176760690613[/C][/ROW]
[ROW][C]201[/C][C]21.46444444[/C][C]28.9892873437578[/C][C]-7.52484290375779[/C][/ROW]
[ROW][C]202[/C][C]13.69138889[/C][C]21.7818911193051[/C][C]-8.0905022293051[/C][/ROW]
[ROW][C]203[/C][C]37.53638889[/C][C]31.1512332818305[/C][C]6.38515560816952[/C][/ROW]
[ROW][C]204[/C][C]30.12388889[/C][C]33.1857840044598[/C][C]-3.0618951144598[/C][/ROW]
[ROW][C]205[/C][C]24.92944444[/C][C]24.179162824887[/C][C]0.750281615112988[/C][/ROW]
[ROW][C]206[/C][C]12.30444444[/C][C]21.8218634287062[/C][C]-9.5174189887062[/C][/ROW]
[ROW][C]207[/C][C]21.56888889[/C][C]24.9097853702132[/C][C]-3.3408964802132[/C][/ROW]
[ROW][C]208[/C][C]50.42444444[/C][C]29.9973991586535[/C][C]20.4270452813465[/C][/ROW]
[ROW][C]209[/C][C]37.2275[/C][C]29.1684876914191[/C][C]8.05901230858089[/C][/ROW]
[ROW][C]210[/C][C]34.46222222[/C][C]27.708102793438[/C][C]6.75411942656202[/C][/ROW]
[ROW][C]211[/C][C]25.73055556[/C][C]16.9621992780256[/C][C]8.76835628197445[/C][/ROW]
[ROW][C]212[/C][C]33.84666667[/C][C]25.2198632131025[/C][C]8.62680345689752[/C][/ROW]
[ROW][C]213[/C][C]14.69861111[/C][C]18.5332752916975[/C][C]-3.83466418169749[/C][/ROW]
[ROW][C]214[/C][C]22.74222222[/C][C]25.5487529544869[/C][C]-2.80653073448686[/C][/ROW]
[ROW][C]215[/C][C]16.38361111[/C][C]30.8441615182026[/C][C]-14.4605504082026[/C][/ROW]
[ROW][C]216[/C][C]14.86527778[/C][C]22.998287181247[/C][C]-8.13300940124704[/C][/ROW]
[ROW][C]217[/C][C]16.89222222[/C][C]22.2363015205814[/C][C]-5.34407930058143[/C][/ROW]
[ROW][C]218[/C][C]15.65972222[/C][C]21.9602304480825[/C][C]-6.30050822808245[/C][/ROW]
[ROW][C]219[/C][C]18.19166667[/C][C]18.1896479060429[/C][C]0.00201876395710649[/C][/ROW]
[ROW][C]220[/C][C]22.48583333[/C][C]16.9048348205056[/C][C]5.58099850949444[/C][/ROW]
[ROW][C]221[/C][C]21.195[/C][C]25.4233858111807[/C][C]-4.22838581118065[/C][/ROW]
[ROW][C]222[/C][C]28.89194444[/C][C]38.4346112871083[/C][C]-9.54266684710829[/C][/ROW]
[ROW][C]223[/C][C]27.25111111[/C][C]28.1167965631074[/C][C]-0.865685453107409[/C][/ROW]
[ROW][C]224[/C][C]18.88583333[/C][C]21.9632639327867[/C][C]-3.07743060278665[/C][/ROW]
[ROW][C]225[/C][C]8.608055556[/C][C]14.4054380574195[/C][C]-5.79738250141951[/C][/ROW]
[ROW][C]226[/C][C]37.62722222[/C][C]30.2660462002946[/C][C]7.36117601970537[/C][/ROW]
[ROW][C]227[/C][C]20.41777778[/C][C]17.8509659948683[/C][C]2.56681178513168[/C][/ROW]
[ROW][C]228[/C][C]17.53416667[/C][C]27.6796225864354[/C][C]-10.1454559164354[/C][/ROW]
[ROW][C]229[/C][C]17.015[/C][C]21.8595570031865[/C][C]-4.84455700318646[/C][/ROW]
[ROW][C]230[/C][C]20.80944444[/C][C]33.3196810227863[/C][C]-12.5102365827863[/C][/ROW]
[ROW][C]231[/C][C]8.826111111[/C][C]16.6601939099421[/C][C]-7.83408279894206[/C][/ROW]
[ROW][C]232[/C][C]22.62138889[/C][C]22.4789236544999[/C][C]0.142465235500051[/C][/ROW]
[ROW][C]233[/C][C]24.21833333[/C][C]31.1937005316649[/C][C]-6.9753672016649[/C][/ROW]
[ROW][C]234[/C][C]13.91388889[/C][C]18.8324202814491[/C][C]-4.91853139144908[/C][/ROW]
[ROW][C]235[/C][C]18.2625[/C][C]32.8763322113682[/C][C]-14.6138322113682[/C][/ROW]
[ROW][C]236[/C][C]15.73694444[/C][C]26.9442216996415[/C][C]-11.2072772596415[/C][/ROW]
[ROW][C]237[/C][C]43.99972222[/C][C]26.3357434583443[/C][C]17.6639787616557[/C][/ROW]
[ROW][C]238[/C][C]12.90416667[/C][C]17.1457381223873[/C][C]-4.24157145238726[/C][/ROW]
[ROW][C]239[/C][C]20.45111111[/C][C]19.5511660418707[/C][C]0.899945068129341[/C][/ROW]
[ROW][C]240[/C][C]10.66527778[/C][C]20.0554868325922[/C][C]-9.39020905259217[/C][/ROW]
[ROW][C]241[/C][C]25.5275[/C][C]23.8674926062829[/C][C]1.66000739371709[/C][/ROW]
[ROW][C]242[/C][C]38.75722222[/C][C]59.1981505779067[/C][C]-20.4409283579067[/C][/ROW]
[ROW][C]243[/C][C]14.49[/C][C]25.3818618027551[/C][C]-10.8918618027551[/C][/ROW]
[ROW][C]244[/C][C]14.32416667[/C][C]20.409055275244[/C][C]-6.08488860524402[/C][/ROW]
[ROW][C]245[/C][C]19.5975[/C][C]21.7072439690444[/C][C]-2.10974396904438[/C][/ROW]
[ROW][C]246[/C][C]23.57111111[/C][C]24.5650769202614[/C][C]-0.993965810261396[/C][/ROW]
[ROW][C]247[/C][C]28.48277778[/C][C]30.9241066547734[/C][C]-2.44132887477338[/C][/ROW]
[ROW][C]248[/C][C]24.07722222[/C][C]23.7941912805634[/C][C]0.283030939436571[/C][/ROW]
[ROW][C]249[/C][C]23.80805556[/C][C]22.3913202083431[/C][C]1.41673535165694[/C][/ROW]
[ROW][C]250[/C][C]9.628333333[/C][C]14.8263776437337[/C][C]-5.19804431073369[/C][/ROW]
[ROW][C]251[/C][C]41.82777778[/C][C]40.8988420054722[/C][C]0.928935774527776[/C][/ROW]
[ROW][C]252[/C][C]27.66972222[/C][C]29.5688179552529[/C][C]-1.89909573525287[/C][/ROW]
[ROW][C]253[/C][C]5.374722222[/C][C]2.17534717430614[/C][C]3.19937504769386[/C][/ROW]
[ROW][C]254[/C][C]27.60361111[/C][C]31.5739159560815[/C][C]-3.97030484608154[/C][/ROW]
[ROW][C]255[/C][C]23.95277778[/C][C]24.4168698299866[/C][C]-0.464092049986622[/C][/ROW]
[ROW][C]256[/C][C]8.565833333[/C][C]6.05506982337011[/C][C]2.51076350962989[/C][/ROW]
[ROW][C]257[/C][C]8.807222222[/C][C]12.760667048474[/C][C]-3.953444826474[/C][/ROW]
[ROW][C]258[/C][C]24.94611111[/C][C]24.807197210844[/C][C]0.138913899156033[/C][/ROW]
[ROW][C]259[/C][C]17.24666667[/C][C]21.484496170199[/C][C]-4.23782950019902[/C][/ROW]
[ROW][C]260[/C][C]11.15305556[/C][C]13.992617194594[/C][C]-2.83956163459399[/C][/ROW]
[ROW][C]261[/C][C]7.676111111[/C][C]15.4849959238257[/C][C]-7.8088848128257[/C][/ROW]
[ROW][C]262[/C][C]21.38611111[/C][C]21.089124615358[/C][C]0.296986494641965[/C][/ROW]
[ROW][C]263[/C][C]10.40555556[/C][C]8.69250452368974[/C][C]1.71305103631026[/C][/ROW]
[ROW][C]264[/C][C]15.04361111[/C][C]16.7180340134818[/C][C]-1.67442290348183[/C][/ROW]
[ROW][C]265[/C][C]13.85055556[/C][C]23.5627444026112[/C][C]-9.71218884261123[/C][/ROW]
[ROW][C]266[/C][C]23.42694444[/C][C]18.7769908982132[/C][C]4.64995354178677[/C][/ROW]
[ROW][C]267[/C][C]17.82638889[/C][C]25.1732912275274[/C][C]-7.34690233752736[/C][/ROW]
[ROW][C]268[/C][C]16.495[/C][C]23.4096785171705[/C][C]-6.91467851717047[/C][/ROW]
[ROW][C]269[/C][C]33.14111111[/C][C]21.0609052295789[/C][C]12.0802058804211[/C][/ROW]
[ROW][C]270[/C][C]21.30611111[/C][C]33.8023164747576[/C][C]-12.4962053647576[/C][/ROW]
[ROW][C]271[/C][C]28.72916667[/C][C]32.8212120682327[/C][C]-4.09204539823265[/C][/ROW]
[ROW][C]272[/C][C]19.54[/C][C]21.4565848163936[/C][C]-1.91658481639356[/C][/ROW]
[ROW][C]273[/C][C]12.05833333[/C][C]3.98972017248502[/C][C]8.06861315751498[/C][/ROW]
[ROW][C]274[/C][C]29.12166667[/C][C]26.7791772169847[/C][C]2.34248945301532[/C][/ROW]
[ROW][C]275[/C][C]17.28194444[/C][C]15.3093746937028[/C][C]1.97256974629724[/C][/ROW]
[ROW][C]276[/C][C]19.25111111[/C][C]23.055417668483[/C][C]-3.80430655848297[/C][/ROW]
[ROW][C]277[/C][C]14.75472222[/C][C]17.7445912901719[/C][C]-2.98986907017185[/C][/ROW]
[ROW][C]278[/C][C]5.49[/C][C]3.45995300464413[/C][C]2.03004699535587[/C][/ROW]
[ROW][C]279[/C][C]24.07777778[/C][C]19.6264646130325[/C][C]4.45131316696754[/C][/ROW]
[ROW][C]280[/C][C]23.3625[/C][C]18.6438076078007[/C][C]4.71869239219932[/C][/ROW]
[ROW][C]281[/C][C]21.65138889[/C][C]20.9699604025987[/C][C]0.681428487401268[/C][/ROW]
[ROW][C]282[/C][C]24.75361111[/C][C]31.9500194265361[/C][C]-7.19640831653609[/C][/ROW]
[ROW][C]283[/C][C]25.27916667[/C][C]18.6792653371759[/C][C]6.59990133282409[/C][/ROW]
[ROW][C]284[/C][C]11.18[/C][C]5.83911931522691[/C][C]5.34088068477309[/C][/ROW]
[ROW][C]285[/C][C]17.82972222[/C][C]19.7014151658882[/C][C]-1.87169294588824[/C][/ROW]
[ROW][C]286[/C][C]14.12694444[/C][C]23.9421080669012[/C][C]-9.81516362690122[/C][/ROW]
[ROW][C]287[/C][C]15.72583333[/C][C]12.7507396079034[/C][C]2.97509372209663[/C][/ROW]
[ROW][C]288[/C][C]17.44222222[/C][C]22.83760207287[/C][C]-5.39537985287003[/C][/ROW]
[ROW][C]289[/C][C]20.14861111[/C][C]16.3362456672823[/C][C]3.81236544271774[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199071&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199071&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
158.5852777852.81755142061285.7677263593872
233.6061111146.6603433895033-13.0542322795033
349.0353.0187783819461-3.98877838194614
449.8113888959.184821453301-9.37343256330099
534.2180555630.378940781093.83911477891
614.6516666734.6588343398967-20.0071676698967
7107.092777859.457055527256547.6357222727435
89.21388888919.3300795332826-10.1161906442826
928.2347222224.63687168043593.59785053956406
1041.4058333347.6190077074946-6.2131743774946
1145.9572222234.081397602273411.8758246177266
1265.892557.63093596072958.26156403927047
1348.1461111163.8675524458888-15.7214413358888
1436.9808333343.1977318904127-6.21689856041271
1571.9091666755.491763995301316.4174026746987
1650.0230555648.13711221867261.88594334132741
1790.2219444487.02468576108173.19725867891826
1864.1566666755.76864325394968.38802341605038
1965.7736111167.4710798527269-1.69746874272688
2037.6313888941.8811266997631-4.24973780976306
2156.3680555658.7892734699555-2.42121790995551
2259.7630555655.33131696881854.43173859118154
2395.6380555649.907954149722945.7301014102771
2442.7597222235.44277877816047.3169434418396
2536.9286111152.6949316064188-15.7663204964188
2648.5344444457.2795270578293-8.74508261782935
2748.4486111159.4870486918127-11.0384375818127
2862.6522222262.9377844415358-0.285562221535815
2962.1252.40990391279039.71009608720966
3034.6713888931.2101411416853.46124774831499
3161.5827777846.286552593472315.2962251865277
3258.5463888958.28628406113590.260104828864123
3347.2961111156.3156636685525-9.01955255855255
3472.3780555663.07106933493559.30698622506455
3523.5702777837.8245904329544-14.2543126529544
3681.7844444458.371463034707523.4129814052925
3728.0586111120.58790297522077.47070813477935
3859.9002777842.02982149298217.870456287018
3990.307562.200924163212528.1065758367875
401.9933333332.54017132662263-0.546837993622633
4146.5394444444.12573579339472.41370864660534
4229.5577777820.90319640930568.65458137069444
4326.8222222233.190828351033-6.36860613103295
4473.8247222271.79905095765482.02567126234515
4574.9030555648.323630155501726.5794254044983
4641.4247.500229385368-6.08022938536803
4748.8446.02968297741242.81031702258762
4842.4641666746.3203707363824-3.85620406638239
4931.0180555635.130496952398-4.11244139239801
5032.3355555653.5021675481637-21.1666119881637
51100.639166769.481926114781931.1572405852181
5221.8888888932.8225124141153-10.9336235241153
5350.8797222256.6995853571876-5.81986313718763
5477.212572.129662261975.08283773802998
5541.8413888944.9564062148529-3.11501732485287
5646.8913888947.0140715314252-0.122682641425188
576.7188888897.93202698187471-1.21313809287471
5891.46305556110.746555228813-19.283499668813
5918.0636111120.7546754128169-2.69106430281695
6028.082529.5349075048478-1.45240750484781
6160.8183333342.906164448104717.9121688818953
6267.7922222271.2075129260499-3.41529070604994
6394.8805555675.297741951718719.5828136082813
6428.7769444424.33821595313084.43872848686924
6564.8133333371.8970215165601-7.08368818656011
6671.2394444467.45764238174983.78180205825015
6757.2669444448.41339331399978.85355112600026
6886.5202777875.976973111397810.5433046686022
6965.563.68930536841791.81069463158206
7049.427552.3687066999123-2.94120669991233
7157.5488888953.4115747152454.13731417475499
7254.5980555649.42651294712325.17154261287677
7348.3844444438.67458444623929.70985999376079
7439.7905555661.4932692660383-21.7027137060383
7552.0997222266.7364555920981-14.6367333720981
7652.1336111149.56759232057192.56601878942812
7733.0641.031883152062-7.97188315206195
7850.6088888951.699450981032-1.09056209103197
7920.43526.3808438166794-5.94584381667937
8054.1608333354.8871834071349-0.726350077134902
8146.5244444443.72185931598812.80258512401191
8239.9322222245.7424579708254-5.81023575082539
8376.5391666753.423574671074223.1155919989258
8467.5552777853.272677275698314.2826005043017
8550.8330555683.2373532025288-32.4042976425288
8637.6802777841.6872825686321-4.00700478863213
8742.3052777845.4550181761769-3.1497403961769
8833.3947222230.56806908709052.8266531329095
8996.2458333365.998839873633330.2469934563667
9040.4972222239.06117439100431.43604782899573
9153.7052777857.1554687296852-3.45019094968524
9222.4869444419.75339088910552.73355355089454
9334.1038888929.21475644698874.88913244301131
9436.2736111146.6862699061665-10.4126587961665
9531.2808333327.19660915241084.08422417758917
9679.5744444470.28326270116459.29118173883549
9766.9627777862.31534531798814.64743246201193
9841.23569.099034655314-27.864034655314
9956.8647222246.49006779454310.374654425457
10050.577555.0959862267515-4.51848622675153
10138.9844444438.07831393373910.906130506260932
10261.2544444446.039575406208415.2148690337916
10367.5166666753.776984104814113.7396825651859
10445.212546.7475130439191-1.53501304391912
10550.7258333351.6501247933023-0.924291463302318
10664.4827777863.52362135539150.959156424608522
10773.6994444484.4599833239601-10.7605388839601
10823.7705555625.7365018048876-1.96594624488763
10986.3441666766.259296940656320.0848697293437
11062.5166666769.532342495908-7.01567582590803
11164.532557.47780099435347.05469900564663
11240.2683333363.4552754838057-23.1869421538057
11312.0241666722.6425435480775-10.6183768780775
11443.26534.60918580721218.6558141927879
11545.752562.6064655614527-16.8539655614527
11656.0944444444.477522505758611.6169219342414
11765.4038888954.553051223615510.8508376663845
11861.3336111137.33786493394123.995746176059
11927.6294444460.1139722285113-32.4845277885113
12025.7391666731.5335462106953-5.79437954069527
12137.0355555633.14894167233763.88661388766235
12217.0447222228.2005337373316-11.1558115173316
12334.9805555634.5547311824380.425824377562012
12427.9861111161.7436141672963-33.7575030572963
12562.3747222253.46800332836368.90671889163639
12622.8655555616.85312185992796.01243370007213
12728.3361111128.23390996440030.102201145599708
12828.2008333334.7824823059871-6.5816489759871
12967.6419444463.27146575890064.37047868109938
1306.3716666671.455741911571394.91592475542861
13111.5461111115.5606645622647-4.01455345226474
13242.3538888948.4709081385628-6.11701924856277
13317.182516.48806840344080.694431596559173
13427.7563888938.0056434965203-10.2492546065203
13536.8019444441.0420290050739-4.24008456507392
13688.16557.46566563188930.699334368111
1375.8483333332.191773686865913.65655964613409
13858.2336111142.403372826402815.8302382835972
1396.29111111119.7100021016543-13.4188909906543
1408.72611111110.9406911815541-2.21458007055406
14112.9716666720.3746469205236-7.4029802505236
14236.5827777839.1907725537836-2.60799477378365
14325.4819444422.51907321861832.96287122138169
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14622.1841666728.0191330006388-5.83496633063876
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14827.177541.00789098259-13.83039098259
14910.61513.783121142729-3.16812114272897
15041.972545.3735642303975-3.4010642303975
15175.6827777861.188151476123114.4946263038769
15247.91556.7029975143032-8.78799751430316
15330.0119444429.52378892771340.488155512286559
15491.1408333361.77612466643629.364708663564
15569.6052777863.79148087913835.81379690086168
15697.5186111190.74983852366116.76877258633894
15743.8930555639.70168403363124.19137152636881
15827.4627777815.879233366113911.5835444138861
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16063.6783333397.8875315066343-34.2091981766343
16197.6719444481.270381353598316.4015630864017
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16333.4569444447.8236789342346-14.3667344942346
16490.1661111175.398618811913314.7674922980867
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16656.7419444446.32562610458610.416318335414
16745.9841666746.0751661197689-0.090999449768938
16839.3672222253.8505869284474-14.4833647084474
16932.2355555634.117280000487-1.88172444048705
17069.457545.528331946931223.9291680530688
17183.2708333361.018530587461222.2523027425388
17254.3994444454.5858682381582-0.186423798158193
17348.1277777835.238260925954912.8895168540451
17470.6911111164.55506634926116.13604476073892
17528.9969444459.9287394616361-30.9317950216361
17637.8011111119.511360520302918.2897505896971
17755.4161.7313364884196-6.32133648841959
17825.6941666722.59833507205613.09583159794394
17962.3138888969.0843495415308-6.77046065153076
18037.7169444420.086734555928317.6302098840717
18120.6688888925.8501854936178-5.18129660361776
18222.5666666734.5610922589493-11.9944255889493
1834.081.57590224140562.5040977585944
18450.4536111148.10613257771272.34747853228732
18575.5155555659.753337543636915.7622180163631
1861.999722222-0.4306938924234332.43041611442343
18712.961111117.683029809839245.27808130016076
1884.8741666670.6762457338304644.19792093316954
18937.0466666724.124614992935512.9220516770645
19026.4519444435.4041343926743-8.95218995267428
19142.3891666739.80818657536582.58098009463422
19227.2627777824.87226805164792.39050972835206
19322.1163888920.24450489373661.87188399626339
19416.4427777829.4268087842325-12.9840310042325
19538.8727777835.53985589524983.33292188475018
19632.9477777823.31373862544179.63403915455835
19720.2444444424.0270224160835-3.78257797608353
19818.187523.7007275656941-5.5132275656941
19927.6786111133.4224235616888-5.74381245168884
20019.9902777825.4520453869061-5.46176760690613
20121.4644444428.9892873437578-7.52484290375779
20213.6913888921.7818911193051-8.0905022293051
20337.5363888931.15123328183056.38515560816952
20430.1238888933.1857840044598-3.0618951144598
20524.9294444424.1791628248870.750281615112988
20612.3044444421.8218634287062-9.5174189887062
20721.5688888924.9097853702132-3.3408964802132
20850.4244444429.997399158653520.4270452813465
20937.227529.16848769141918.05901230858089
21034.4622222227.7081027934386.75411942656202
21125.7305555616.96219927802568.76835628197445
21233.8466666725.21986321310258.62680345689752
21314.6986111118.5332752916975-3.83466418169749
21422.7422222225.5487529544869-2.80653073448686
21516.3836111130.8441615182026-14.4605504082026
21614.8652777822.998287181247-8.13300940124704
21716.8922222222.2363015205814-5.34407930058143
21815.6597222221.9602304480825-6.30050822808245
21918.1916666718.18964790604290.00201876395710649
22022.4858333316.90483482050565.58099850949444
22121.19525.4233858111807-4.22838581118065
22228.8919444438.4346112871083-9.54266684710829
22327.2511111128.1167965631074-0.865685453107409
22418.8858333321.9632639327867-3.07743060278665
2258.60805555614.4054380574195-5.79738250141951
22637.6272222230.26604620029467.36117601970537
22720.4177777817.85096599486832.56681178513168
22817.5341666727.6796225864354-10.1454559164354
22917.01521.8595570031865-4.84455700318646
23020.8094444433.3196810227863-12.5102365827863
2318.82611111116.6601939099421-7.83408279894206
23222.6213888922.47892365449990.142465235500051
23324.2183333331.1937005316649-6.9753672016649
23413.9138888918.8324202814491-4.91853139144908
23518.262532.8763322113682-14.6138322113682
23615.7369444426.9442216996415-11.2072772596415
23743.9997222226.335743458344317.6639787616557
23812.9041666717.1457381223873-4.24157145238726
23920.4511111119.55116604187070.899945068129341
24010.6652777820.0554868325922-9.39020905259217
24125.527523.86749260628291.66000739371709
24238.7572222259.1981505779067-20.4409283579067
24314.4925.3818618027551-10.8918618027551
24414.3241666720.409055275244-6.08488860524402
24519.597521.7072439690444-2.10974396904438
24623.5711111124.5650769202614-0.993965810261396
24728.4827777830.9241066547734-2.44132887477338
24824.0772222223.79419128056340.283030939436571
24923.8080555622.39132020834311.41673535165694
2509.62833333314.8263776437337-5.19804431073369
25141.8277777840.89884200547220.928935774527776
25227.6697222229.5688179552529-1.89909573525287
2535.3747222222.175347174306143.19937504769386
25427.6036111131.5739159560815-3.97030484608154
25523.9527777824.4168698299866-0.464092049986622
2568.5658333336.055069823370112.51076350962989
2578.80722222212.760667048474-3.953444826474
25824.9461111124.8071972108440.138913899156033
25917.2466666721.484496170199-4.23782950019902
26011.1530555613.992617194594-2.83956163459399
2617.67611111115.4849959238257-7.8088848128257
26221.3861111121.0891246153580.296986494641965
26310.405555568.692504523689741.71305103631026
26415.0436111116.7180340134818-1.67442290348183
26513.8505555623.5627444026112-9.71218884261123
26623.4269444418.77699089821324.64995354178677
26717.8263888925.1732912275274-7.34690233752736
26816.49523.4096785171705-6.91467851717047
26933.1411111121.060905229578912.0802058804211
27021.3061111133.8023164747576-12.4962053647576
27128.7291666732.8212120682327-4.09204539823265
27219.5421.4565848163936-1.91658481639356
27312.058333333.989720172485028.06861315751498
27429.1216666726.77917721698472.34248945301532
27517.2819444415.30937469370281.97256974629724
27619.2511111123.055417668483-3.80430655848297
27714.7547222217.7445912901719-2.98986907017185
2785.493.459953004644132.03004699535587
27924.0777777819.62646461303254.45131316696754
28023.362518.64380760780074.71869239219932
28121.6513888920.96996040259870.681428487401268
28224.7536111131.9500194265361-7.19640831653609
28325.2791666718.67926533717596.59990133282409
28411.185.839119315226915.34088068477309
28517.8297222219.7014151658882-1.87169294588824
28614.1269444423.9421080669012-9.81516362690122
28715.7258333312.75073960790342.97509372209663
28817.4422222222.83760207287-5.39537985287003
28920.1486111116.33624566728233.81236544271774







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.9899472927567530.02010541448649350.0100527072432468
80.977104268654560.04579146269088050.0228957313454402
90.9625445751093990.07491084978120310.0374554248906015
100.9543929512571670.09121409748566640.0456070487428332
110.976661517062270.04667696587545940.0233384829377297
120.9650538006199240.06989239876015190.034946199380076
130.9618476732868110.07630465342637720.0381523267131886
140.940617246483810.118765507032380.0593827535161899
150.9777684832851640.04446303342967160.0222315167148358
160.9665555990464150.06688880190716950.0334444009535847
170.9627129950452720.07457400990945570.0372870049547278
180.9458972816810460.1082054366379080.0541027183189542
190.9500245566546990.09995088669060110.0499754433453005
200.9379058775517540.1241882448964930.0620941224482464
210.9159829782166960.1680340435666080.084017021783304
220.8928338498701020.2143323002597970.107166150129899
230.9974658099228050.005068380154391020.00253419007719551
240.9965849801017790.00683003979644120.0034150198982206
250.9960780522587940.007843895482411970.00392194774120599
260.9959266735612450.00814665287751070.00407332643875535
270.9970173741548010.005965251690397530.00298262584519876
280.9960207668988480.007958466202304460.00397923310115223
290.9951396594896060.009720681020787740.00486034051039387
300.9932686748145940.01346265037081110.00673132518540554
310.9946707527476930.01065849450461320.00532924725230661
320.9923256155867070.01534876882658620.00767438441329309
330.9898098880114120.02038022397717560.0101901119885878
340.9888123343530420.02237533129391650.0111876656469582
350.9884455366990850.02310892660183020.0115544633009151
360.9929096491113010.01418070177739780.00709035088869892
370.9905751113712320.01884977725753530.00942488862876767
380.9938626885220580.01227462295588310.00613731147794157
390.9975376004078910.004924799184218070.00246239959210904
400.9966470057952360.006705988409528090.00335299420476404
410.9952784089310330.009443182137934530.00472159106896726
420.9940030402184470.01199391956310620.0059969597815531
430.9937038673016090.01259226539678230.00629613269839114
440.9924885642800150.01502287143996960.0075114357199848
450.9969278017003530.006144396599293550.00307219829964678
460.9960183233440360.007963353311927380.00398167665596369
470.9947449766314020.01051004673719630.00525502336859815
480.9934379497877210.01312410042455820.00656205021227912
490.9913225068801140.01735498623977270.00867749311988635
500.9947698202737650.01046035945247070.00523017972623533
510.9980409879621550.00391802407568980.0019590120378449
520.9977232986966790.004553402606642950.00227670130332147
530.9970425475224370.005914904955126330.00295745247756316
540.9961285179632350.007742964073530810.00387148203676541
550.9947849261566690.01043014768666170.00521507384333084
560.9931359854836370.01372802903272520.00686401451636258
570.9910235704380950.01795285912380970.00897642956190485
580.9980431573998660.003913685200267950.00195684260013398
590.9973721536458850.005255692708229020.00262784635411451
600.9965040184886120.00699196302277650.00349598151138825
610.9971654712706240.005669057458752290.00283452872937614
620.99657269250330.006854614993400020.00342730749670001
630.9969368020982810.006126395803437670.00306319790171883
640.9959885930926390.008022813814721130.00401140690736057
650.9962249092033620.007550181593275640.00377509079663782
660.9950706441383610.009858711723277250.00492935586163862
670.9941459204019640.01170815919607220.00585407959803609
680.9932679011346480.01346419773070380.0067320988653519
690.9923582968337390.01528340633252290.00764170316626143
700.990127483343540.01974503331291920.00987251665645958
710.987536193526960.02492761294608080.0124638064730404
720.984494052598620.03101189480275960.0155059474013798
730.982673411958820.03465317608236030.0173265880411802
740.9922413023542120.01551739529157660.00775869764578829
750.9930349293980390.01393014120392150.00696507060196077
760.9910947163982830.01781056720343420.00890528360171712
770.9904429218440680.01911415631186320.0095570781559316
780.9877795023418820.02444099531623530.0122204976581177
790.985307250366080.02938549926784090.0146927496339204
800.981484360079980.03703127984004070.0185156399200204
810.9770346857173330.04593062856533470.0229653142826673
820.9729375537000950.05412489259980980.0270624462999049
830.9841462783990990.03170744320180250.0158537216009012
840.9847184625584740.03056307488305120.0152815374415256
850.997914318912370.004171362175260430.00208568108763021
860.9973459603993890.005308079201222740.00265403960061137
870.9965884415417550.006823116916489590.0034115584582448
880.9955804345306330.008839130938733030.00441956546936652
890.999023454852490.001953090295020180.000976545147510089
900.9986937079534890.002612584093022560.00130629204651128
910.9983088524511650.003382295097669120.00169114754883456
920.9977743550895650.004451289820869190.0022256449104346
930.9971697635995440.005660472800911280.00283023640045564
940.9970240323657980.005951935268404660.00297596763420233
950.9961983060864210.007603387827158810.00380169391357941
960.9958217236076760.008356552784647660.00417827639232383
970.9948701799163890.01025964016722090.00512982008361047
980.998403676345620.00319264730875930.00159632365437965
990.9982853293391630.003429341321674470.00171467066083724
1000.997819655584170.004360688831661040.00218034441583052
1010.9971562358238030.005687528352393120.00284376417619656
1020.9976051170615390.004789765876921680.00239488293846084
1030.9978415786738840.004316842652232330.00215842132611617
1040.9971835836037120.005632832792575550.00281641639628777
1050.996340555874680.007318888250641010.0036594441253205
1060.9952968938346450.009406212330709840.00470310616535492
1070.994834648296340.01033070340731950.00516535170365976
1080.9935387959957160.01292240800856870.00646120400428435
1090.9961021964511620.007795607097676650.00389780354883832
1100.9953194536674280.009361092665143280.00468054633257164
1110.9946465431416540.01070691371669140.00535345685834568
1120.9974888533145950.005022293370809680.00251114668540484
1130.9974742697609610.005051460478077610.0025257302390388
1140.997106196006910.005787607986180580.00289380399309029
1150.9977775587359130.004444882528174730.00222244126408737
1160.9977934946048710.004413010790259010.0022065053951295
1170.9977661810657180.004467637868564310.00223381893428216
1180.999044507374040.001910985251919770.000955492625959884
1190.999874323047140.00025135390571950.00012567695285975
1200.9998446259535130.0003107480929740260.000155374046487013
1210.999793259667440.0004134806651189930.000206740332559497
1220.9998002469427710.0003995061144577160.000199753057228858
1230.9997287562313730.0005424875372534540.000271243768626727
1240.9999804501543193.90996913626175e-051.95498456813088e-05
1250.9999767418715144.6516256971354e-052.3258128485677e-05
1260.9999690581131096.18837737829788e-053.09418868914894e-05
1270.9999561197744828.77604510362739e-054.38802255181369e-05
1280.9999455210704090.000108957859181495.44789295907449e-05
1290.9999287508350920.0001424983298168327.1249164908416e-05
1300.9999032127527490.0001935744945016139.67872472508063e-05
1310.9998735944405970.0002528111188054980.000126405559402749
1320.9998380495890380.0003239008219243480.000161950410962174
1330.999777204256260.0004455914874799910.000222795743739995
1340.9997580219820050.0004839560359907970.000241978017995399
1350.9996793378585410.0006413242829176120.000320662141458806
1360.9999636157875677.27684248664455e-053.63842124332228e-05
1370.9999491683599750.0001016632800500525.0831640025026e-05
1380.9999627111125577.45777748855778e-053.72888874427889e-05
1390.9999696191421956.07617156096864e-053.03808578048432e-05
1400.9999577329498358.45341003307447e-054.22670501653724e-05
1410.9999485537754710.0001028924490586365.14462245293178e-05
1420.9999285962510840.0001428074978320927.1403748916046e-05
1430.9999028791729660.0001942416540684559.71208270342276e-05
1440.9999017968612740.0001964062774519399.82031387259696e-05
1450.9998743439161070.0002513121677864990.00012565608389325
1460.9998384480476360.0003231039047289060.000161551952364453
1470.9999256513175240.0001486973649524697.43486824762345e-05
1480.9999411322003080.0001177355993839485.88677996919741e-05
1490.9999195144765020.0001609710469963428.04855234981712e-05
1500.999890403067730.0002191938645407670.000109596932270383
1510.9999215340967010.0001569318065976927.84659032988461e-05
1520.9999052158166280.0001895683667438759.47841833719376e-05
1530.9998681013606210.0002637972787581560.000131898639379078
1540.9999880856553342.38286893310939e-051.1914344665547e-05
1550.9999859668308462.80663383084777e-051.40331691542389e-05
1560.9999837141139023.25717721967893e-051.62858860983947e-05
1570.9999787956972064.24086055877275e-052.12043027938638e-05
1580.9999792594016024.14811967968309e-052.07405983984155e-05
1590.9999791860217654.162795646919e-052.0813978234595e-05
1600.9999993766138111.24677237792068e-066.23386188960341e-07
1610.9999997105847165.78830568348741e-072.8941528417437e-07
1620.9999999085454121.82909175194722e-079.14545875973611e-08
1630.9999999529215619.4156877869494e-084.7078438934747e-08
1640.9999999773649094.52701820013063e-082.26350910006532e-08
1650.9999999695225586.09548838945915e-083.04774419472958e-08
1660.9999999828801023.42397951249118e-081.71198975624559e-08
1670.999999973693345.26133207832621e-082.63066603916311e-08
1680.9999999817404853.65190291871178e-081.82595145935589e-08
1690.9999999701290665.9741868159259e-082.98709340796295e-08
1700.9999999967684316.46313716253445e-093.23156858126722e-09
1710.9999999998694582.61083046105703e-101.30541523052851e-10
1720.9999999998157343.6853112066327e-101.84265560331635e-10
1730.9999999999058541.88291079934777e-109.41455399673887e-11
1740.9999999999594448.11121873645904e-114.05560936822952e-11
1750.9999999999967566.48812702692127e-123.24406351346063e-12
1760.9999999999994851.02921371277105e-125.14606856385527e-13
1770.9999999999990471.90686395949526e-129.53431979747632e-13
1780.9999999999983833.23443778237327e-121.61721889118664e-12
1790.9999999999971875.6257916406294e-122.8128958203147e-12
1800.9999999999995548.9206333753562e-134.4603166876781e-13
1810.9999999999993261.3472688987479e-126.73634449373949e-13
1820.9999999999994431.11421961829928e-125.57109809149641e-13
1830.999999999998892.21931702391832e-121.10965851195916e-12
1840.9999999999986422.71654327456893e-121.35827163728447e-12
1850.9999999999999852.97464564352586e-141.48732282176293e-14
1860.9999999999999725.56301742273967e-142.78150871136983e-14
1870.9999999999999431.13997689402517e-135.69988447012583e-14
1880.9999999999998842.31333761219699e-131.1566688060985e-13
1890.9999999999999676.64907969812419e-143.3245398490621e-14
1900.9999999999999371.25441948625051e-136.27209743125255e-14
1910.9999999999999441.11083534649145e-135.55417673245727e-14
1920.9999999999999051.89711751892502e-139.48558759462511e-14
1930.9999999999998033.93929815835686e-131.96964907917843e-13
1940.9999999999997724.56660478195857e-132.28330239097928e-13
1950.9999999999998043.92828043176806e-131.96414021588403e-13
1960.9999999999998473.06461144497853e-131.53230572248927e-13
1970.9999999999996846.32682387642161e-133.16341193821081e-13
1980.9999999999993941.21226937844012e-126.06134689220061e-13
1990.9999999999987982.40331098735305e-121.20165549367653e-12
2000.9999999999977524.49648837162165e-122.24824418581083e-12
2010.9999999999964617.07817195341889e-123.53908597670944e-12
2020.9999999999939411.21188619955959e-116.05943099779797e-12
2030.9999999999939371.21258054038191e-116.06290270190953e-12
2040.999999999987852.43003187797372e-111.21501593898686e-11
2050.9999999999777844.44316486911215e-112.22158243455608e-11
2060.9999999999709345.8131686114655e-112.90658430573275e-11
2070.9999999999427391.1452118714772e-105.726059357386e-11
2080.9999999999995978.05494378663733e-134.02747189331866e-13
2090.9999999999998243.52450968940783e-131.76225484470391e-13
2100.9999999999999191.61143577172281e-138.05717885861404e-14
2110.9999999999999131.73737188387093e-138.68685941935466e-14
2120.999999999999976.07806258490887e-143.03903129245443e-14
2130.9999999999999321.36801196114038e-136.84005980570191e-14
2140.9999999999998433.13373241712176e-131.56686620856088e-13
2150.9999999999998582.84156403131717e-131.42078201565859e-13
2160.9999999999997574.86995673151962e-132.43497836575981e-13
2170.9999999999995279.46635642757931e-134.73317821378965e-13
2180.999999999999151.70060242346322e-128.50301211731609e-13
2190.9999999999980843.83298620705565e-121.91649310352783e-12
2200.9999999999974815.0372792919618e-122.5186396459809e-12
2210.9999999999943511.12985348046931e-115.64926740234653e-12
2220.9999999999884012.31984974578524e-111.15992487289262e-11
2230.9999999999770364.59285311692229e-112.29642655846115e-11
2240.99999999994931.01400118883606e-105.07000594418032e-11
2250.9999999999192471.6150513910572e-108.07525695528599e-11
2260.9999999999653866.92272984238726e-113.46136492119363e-11
2270.9999999999294821.41035807796874e-107.05179038984371e-11
2280.9999999999019931.9601337537836e-109.800668768918e-11
2290.9999999997984264.03148347730884e-102.01574173865442e-10
2300.9999999997807364.38527600255015e-102.19263800127507e-10
2310.9999999997425415.14918123093015e-102.57459061546508e-10
2320.9999999994593921.08121613952438e-095.40608069762189e-10
2330.9999999988898652.22027005754168e-091.11013502877084e-09
2340.9999999980515623.89687678711055e-091.94843839355528e-09
2350.9999999985990332.80193493514032e-091.40096746757016e-09
2360.9999999986330152.73396940579391e-091.36698470289696e-09
2370.9999999999943371.1325603922286e-115.662801961143e-12
2380.9999999999891932.16136879129433e-111.08068439564716e-11
2390.9999999999732855.3430234715558e-112.6715117357779e-11
2400.999999999980443.91203086211359e-111.95601543105679e-11
2410.9999999999622557.54899501238152e-113.77449750619076e-11
2420.9999999999665696.68622742295822e-113.34311371147911e-11
2430.999999999985762.84807825535868e-111.42403912767934e-11
2440.999999999975674.86598409952632e-112.43299204976316e-11
2450.9999999999335231.32953636473671e-106.64768182368355e-11
2460.9999999998358733.28254438481055e-101.64127219240527e-10
2470.9999999995727628.54476712811702e-104.27238356405851e-10
2480.9999999989514062.09718800270778e-091.04859400135389e-09
2490.9999999977231674.55366505294046e-092.27683252647023e-09
2500.9999999959522218.09555890678143e-094.04777945339071e-09
2510.9999999963839337.23213478997404e-093.61606739498702e-09
2520.9999999920564211.58871579569805e-087.94357897849026e-09
2530.9999999808369733.83260544833354e-081.91630272416677e-08
2540.9999999514988839.70022336371062e-084.85011168185531e-08
2550.9999998843813672.31237266847477e-071.15618633423739e-07
2560.9999997300493475.39901305919537e-072.69950652959768e-07
2570.9999995838327288.32334543603036e-074.16167271801518e-07
2580.9999991398816961.72023660847725e-068.60118304238625e-07
2590.9999981414968993.71700620109181e-061.85850310054591e-06
2600.9999967679363366.46412732857557e-063.23206366428778e-06
2610.9999983689193443.26216131149978e-061.63108065574989e-06
2620.999995976129758.04774049989072e-064.02387024994536e-06
2630.9999917920711611.64158576778969e-058.20792883894847e-06
2640.999982913239793.41735204205128e-051.70867602102564e-05
2650.999981598971323.68020573605317e-051.84010286802658e-05
2660.9999668954834636.62090330734822e-053.31045165367411e-05
2670.9999520967370839.58065258338231e-054.79032629169115e-05
2680.9999389637597680.0001220724804647596.10362402323795e-05
2690.9999944863290281.10273419438751e-055.51367097193756e-06
2700.9999945996708731.08006582536735e-055.40032912683674e-06
2710.9999889601711992.2079657601446e-051.1039828800723e-05
2720.9999657899825126.84200349769991e-053.42100174884996e-05
2730.9998975216082420.000204956783515630.000102478391757815
2740.9997178492028570.0005643015942853760.000282150797142688
2750.9991801051791650.001639789641669540.000819894820834772
2760.9982126378738550.003574724252289790.0017873621261449
2770.9956564118224150.008687176355169540.00434358817758477
2780.9931286065794840.01374278684103230.00687139342051616
2790.9867322261359440.02653554772811130.0132677738640557
2800.9780792538941390.04384149221172220.0219207461058611
2810.9534418999891490.0931162000217020.046558100010851
2820.8804681692578370.2390636614843250.119531830742163

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.989947292756753 & 0.0201054144864935 & 0.0100527072432468 \tabularnewline
8 & 0.97710426865456 & 0.0457914626908805 & 0.0228957313454402 \tabularnewline
9 & 0.962544575109399 & 0.0749108497812031 & 0.0374554248906015 \tabularnewline
10 & 0.954392951257167 & 0.0912140974856664 & 0.0456070487428332 \tabularnewline
11 & 0.97666151706227 & 0.0466769658754594 & 0.0233384829377297 \tabularnewline
12 & 0.965053800619924 & 0.0698923987601519 & 0.034946199380076 \tabularnewline
13 & 0.961847673286811 & 0.0763046534263772 & 0.0381523267131886 \tabularnewline
14 & 0.94061724648381 & 0.11876550703238 & 0.0593827535161899 \tabularnewline
15 & 0.977768483285164 & 0.0444630334296716 & 0.0222315167148358 \tabularnewline
16 & 0.966555599046415 & 0.0668888019071695 & 0.0334444009535847 \tabularnewline
17 & 0.962712995045272 & 0.0745740099094557 & 0.0372870049547278 \tabularnewline
18 & 0.945897281681046 & 0.108205436637908 & 0.0541027183189542 \tabularnewline
19 & 0.950024556654699 & 0.0999508866906011 & 0.0499754433453005 \tabularnewline
20 & 0.937905877551754 & 0.124188244896493 & 0.0620941224482464 \tabularnewline
21 & 0.915982978216696 & 0.168034043566608 & 0.084017021783304 \tabularnewline
22 & 0.892833849870102 & 0.214332300259797 & 0.107166150129899 \tabularnewline
23 & 0.997465809922805 & 0.00506838015439102 & 0.00253419007719551 \tabularnewline
24 & 0.996584980101779 & 0.0068300397964412 & 0.0034150198982206 \tabularnewline
25 & 0.996078052258794 & 0.00784389548241197 & 0.00392194774120599 \tabularnewline
26 & 0.995926673561245 & 0.0081466528775107 & 0.00407332643875535 \tabularnewline
27 & 0.997017374154801 & 0.00596525169039753 & 0.00298262584519876 \tabularnewline
28 & 0.996020766898848 & 0.00795846620230446 & 0.00397923310115223 \tabularnewline
29 & 0.995139659489606 & 0.00972068102078774 & 0.00486034051039387 \tabularnewline
30 & 0.993268674814594 & 0.0134626503708111 & 0.00673132518540554 \tabularnewline
31 & 0.994670752747693 & 0.0106584945046132 & 0.00532924725230661 \tabularnewline
32 & 0.992325615586707 & 0.0153487688265862 & 0.00767438441329309 \tabularnewline
33 & 0.989809888011412 & 0.0203802239771756 & 0.0101901119885878 \tabularnewline
34 & 0.988812334353042 & 0.0223753312939165 & 0.0111876656469582 \tabularnewline
35 & 0.988445536699085 & 0.0231089266018302 & 0.0115544633009151 \tabularnewline
36 & 0.992909649111301 & 0.0141807017773978 & 0.00709035088869892 \tabularnewline
37 & 0.990575111371232 & 0.0188497772575353 & 0.00942488862876767 \tabularnewline
38 & 0.993862688522058 & 0.0122746229558831 & 0.00613731147794157 \tabularnewline
39 & 0.997537600407891 & 0.00492479918421807 & 0.00246239959210904 \tabularnewline
40 & 0.996647005795236 & 0.00670598840952809 & 0.00335299420476404 \tabularnewline
41 & 0.995278408931033 & 0.00944318213793453 & 0.00472159106896726 \tabularnewline
42 & 0.994003040218447 & 0.0119939195631062 & 0.0059969597815531 \tabularnewline
43 & 0.993703867301609 & 0.0125922653967823 & 0.00629613269839114 \tabularnewline
44 & 0.992488564280015 & 0.0150228714399696 & 0.0075114357199848 \tabularnewline
45 & 0.996927801700353 & 0.00614439659929355 & 0.00307219829964678 \tabularnewline
46 & 0.996018323344036 & 0.00796335331192738 & 0.00398167665596369 \tabularnewline
47 & 0.994744976631402 & 0.0105100467371963 & 0.00525502336859815 \tabularnewline
48 & 0.993437949787721 & 0.0131241004245582 & 0.00656205021227912 \tabularnewline
49 & 0.991322506880114 & 0.0173549862397727 & 0.00867749311988635 \tabularnewline
50 & 0.994769820273765 & 0.0104603594524707 & 0.00523017972623533 \tabularnewline
51 & 0.998040987962155 & 0.0039180240756898 & 0.0019590120378449 \tabularnewline
52 & 0.997723298696679 & 0.00455340260664295 & 0.00227670130332147 \tabularnewline
53 & 0.997042547522437 & 0.00591490495512633 & 0.00295745247756316 \tabularnewline
54 & 0.996128517963235 & 0.00774296407353081 & 0.00387148203676541 \tabularnewline
55 & 0.994784926156669 & 0.0104301476866617 & 0.00521507384333084 \tabularnewline
56 & 0.993135985483637 & 0.0137280290327252 & 0.00686401451636258 \tabularnewline
57 & 0.991023570438095 & 0.0179528591238097 & 0.00897642956190485 \tabularnewline
58 & 0.998043157399866 & 0.00391368520026795 & 0.00195684260013398 \tabularnewline
59 & 0.997372153645885 & 0.00525569270822902 & 0.00262784635411451 \tabularnewline
60 & 0.996504018488612 & 0.0069919630227765 & 0.00349598151138825 \tabularnewline
61 & 0.997165471270624 & 0.00566905745875229 & 0.00283452872937614 \tabularnewline
62 & 0.9965726925033 & 0.00685461499340002 & 0.00342730749670001 \tabularnewline
63 & 0.996936802098281 & 0.00612639580343767 & 0.00306319790171883 \tabularnewline
64 & 0.995988593092639 & 0.00802281381472113 & 0.00401140690736057 \tabularnewline
65 & 0.996224909203362 & 0.00755018159327564 & 0.00377509079663782 \tabularnewline
66 & 0.995070644138361 & 0.00985871172327725 & 0.00492935586163862 \tabularnewline
67 & 0.994145920401964 & 0.0117081591960722 & 0.00585407959803609 \tabularnewline
68 & 0.993267901134648 & 0.0134641977307038 & 0.0067320988653519 \tabularnewline
69 & 0.992358296833739 & 0.0152834063325229 & 0.00764170316626143 \tabularnewline
70 & 0.99012748334354 & 0.0197450333129192 & 0.00987251665645958 \tabularnewline
71 & 0.98753619352696 & 0.0249276129460808 & 0.0124638064730404 \tabularnewline
72 & 0.98449405259862 & 0.0310118948027596 & 0.0155059474013798 \tabularnewline
73 & 0.98267341195882 & 0.0346531760823603 & 0.0173265880411802 \tabularnewline
74 & 0.992241302354212 & 0.0155173952915766 & 0.00775869764578829 \tabularnewline
75 & 0.993034929398039 & 0.0139301412039215 & 0.00696507060196077 \tabularnewline
76 & 0.991094716398283 & 0.0178105672034342 & 0.00890528360171712 \tabularnewline
77 & 0.990442921844068 & 0.0191141563118632 & 0.0095570781559316 \tabularnewline
78 & 0.987779502341882 & 0.0244409953162353 & 0.0122204976581177 \tabularnewline
79 & 0.98530725036608 & 0.0293854992678409 & 0.0146927496339204 \tabularnewline
80 & 0.98148436007998 & 0.0370312798400407 & 0.0185156399200204 \tabularnewline
81 & 0.977034685717333 & 0.0459306285653347 & 0.0229653142826673 \tabularnewline
82 & 0.972937553700095 & 0.0541248925998098 & 0.0270624462999049 \tabularnewline
83 & 0.984146278399099 & 0.0317074432018025 & 0.0158537216009012 \tabularnewline
84 & 0.984718462558474 & 0.0305630748830512 & 0.0152815374415256 \tabularnewline
85 & 0.99791431891237 & 0.00417136217526043 & 0.00208568108763021 \tabularnewline
86 & 0.997345960399389 & 0.00530807920122274 & 0.00265403960061137 \tabularnewline
87 & 0.996588441541755 & 0.00682311691648959 & 0.0034115584582448 \tabularnewline
88 & 0.995580434530633 & 0.00883913093873303 & 0.00441956546936652 \tabularnewline
89 & 0.99902345485249 & 0.00195309029502018 & 0.000976545147510089 \tabularnewline
90 & 0.998693707953489 & 0.00261258409302256 & 0.00130629204651128 \tabularnewline
91 & 0.998308852451165 & 0.00338229509766912 & 0.00169114754883456 \tabularnewline
92 & 0.997774355089565 & 0.00445128982086919 & 0.0022256449104346 \tabularnewline
93 & 0.997169763599544 & 0.00566047280091128 & 0.00283023640045564 \tabularnewline
94 & 0.997024032365798 & 0.00595193526840466 & 0.00297596763420233 \tabularnewline
95 & 0.996198306086421 & 0.00760338782715881 & 0.00380169391357941 \tabularnewline
96 & 0.995821723607676 & 0.00835655278464766 & 0.00417827639232383 \tabularnewline
97 & 0.994870179916389 & 0.0102596401672209 & 0.00512982008361047 \tabularnewline
98 & 0.99840367634562 & 0.0031926473087593 & 0.00159632365437965 \tabularnewline
99 & 0.998285329339163 & 0.00342934132167447 & 0.00171467066083724 \tabularnewline
100 & 0.99781965558417 & 0.00436068883166104 & 0.00218034441583052 \tabularnewline
101 & 0.997156235823803 & 0.00568752835239312 & 0.00284376417619656 \tabularnewline
102 & 0.997605117061539 & 0.00478976587692168 & 0.00239488293846084 \tabularnewline
103 & 0.997841578673884 & 0.00431684265223233 & 0.00215842132611617 \tabularnewline
104 & 0.997183583603712 & 0.00563283279257555 & 0.00281641639628777 \tabularnewline
105 & 0.99634055587468 & 0.00731888825064101 & 0.0036594441253205 \tabularnewline
106 & 0.995296893834645 & 0.00940621233070984 & 0.00470310616535492 \tabularnewline
107 & 0.99483464829634 & 0.0103307034073195 & 0.00516535170365976 \tabularnewline
108 & 0.993538795995716 & 0.0129224080085687 & 0.00646120400428435 \tabularnewline
109 & 0.996102196451162 & 0.00779560709767665 & 0.00389780354883832 \tabularnewline
110 & 0.995319453667428 & 0.00936109266514328 & 0.00468054633257164 \tabularnewline
111 & 0.994646543141654 & 0.0107069137166914 & 0.00535345685834568 \tabularnewline
112 & 0.997488853314595 & 0.00502229337080968 & 0.00251114668540484 \tabularnewline
113 & 0.997474269760961 & 0.00505146047807761 & 0.0025257302390388 \tabularnewline
114 & 0.99710619600691 & 0.00578760798618058 & 0.00289380399309029 \tabularnewline
115 & 0.997777558735913 & 0.00444488252817473 & 0.00222244126408737 \tabularnewline
116 & 0.997793494604871 & 0.00441301079025901 & 0.0022065053951295 \tabularnewline
117 & 0.997766181065718 & 0.00446763786856431 & 0.00223381893428216 \tabularnewline
118 & 0.99904450737404 & 0.00191098525191977 & 0.000955492625959884 \tabularnewline
119 & 0.99987432304714 & 0.0002513539057195 & 0.00012567695285975 \tabularnewline
120 & 0.999844625953513 & 0.000310748092974026 & 0.000155374046487013 \tabularnewline
121 & 0.99979325966744 & 0.000413480665118993 & 0.000206740332559497 \tabularnewline
122 & 0.999800246942771 & 0.000399506114457716 & 0.000199753057228858 \tabularnewline
123 & 0.999728756231373 & 0.000542487537253454 & 0.000271243768626727 \tabularnewline
124 & 0.999980450154319 & 3.90996913626175e-05 & 1.95498456813088e-05 \tabularnewline
125 & 0.999976741871514 & 4.6516256971354e-05 & 2.3258128485677e-05 \tabularnewline
126 & 0.999969058113109 & 6.18837737829788e-05 & 3.09418868914894e-05 \tabularnewline
127 & 0.999956119774482 & 8.77604510362739e-05 & 4.38802255181369e-05 \tabularnewline
128 & 0.999945521070409 & 0.00010895785918149 & 5.44789295907449e-05 \tabularnewline
129 & 0.999928750835092 & 0.000142498329816832 & 7.1249164908416e-05 \tabularnewline
130 & 0.999903212752749 & 0.000193574494501613 & 9.67872472508063e-05 \tabularnewline
131 & 0.999873594440597 & 0.000252811118805498 & 0.000126405559402749 \tabularnewline
132 & 0.999838049589038 & 0.000323900821924348 & 0.000161950410962174 \tabularnewline
133 & 0.99977720425626 & 0.000445591487479991 & 0.000222795743739995 \tabularnewline
134 & 0.999758021982005 & 0.000483956035990797 & 0.000241978017995399 \tabularnewline
135 & 0.999679337858541 & 0.000641324282917612 & 0.000320662141458806 \tabularnewline
136 & 0.999963615787567 & 7.27684248664455e-05 & 3.63842124332228e-05 \tabularnewline
137 & 0.999949168359975 & 0.000101663280050052 & 5.0831640025026e-05 \tabularnewline
138 & 0.999962711112557 & 7.45777748855778e-05 & 3.72888874427889e-05 \tabularnewline
139 & 0.999969619142195 & 6.07617156096864e-05 & 3.03808578048432e-05 \tabularnewline
140 & 0.999957732949835 & 8.45341003307447e-05 & 4.22670501653724e-05 \tabularnewline
141 & 0.999948553775471 & 0.000102892449058636 & 5.14462245293178e-05 \tabularnewline
142 & 0.999928596251084 & 0.000142807497832092 & 7.1403748916046e-05 \tabularnewline
143 & 0.999902879172966 & 0.000194241654068455 & 9.71208270342276e-05 \tabularnewline
144 & 0.999901796861274 & 0.000196406277451939 & 9.82031387259696e-05 \tabularnewline
145 & 0.999874343916107 & 0.000251312167786499 & 0.00012565608389325 \tabularnewline
146 & 0.999838448047636 & 0.000323103904728906 & 0.000161551952364453 \tabularnewline
147 & 0.999925651317524 & 0.000148697364952469 & 7.43486824762345e-05 \tabularnewline
148 & 0.999941132200308 & 0.000117735599383948 & 5.88677996919741e-05 \tabularnewline
149 & 0.999919514476502 & 0.000160971046996342 & 8.04855234981712e-05 \tabularnewline
150 & 0.99989040306773 & 0.000219193864540767 & 0.000109596932270383 \tabularnewline
151 & 0.999921534096701 & 0.000156931806597692 & 7.84659032988461e-05 \tabularnewline
152 & 0.999905215816628 & 0.000189568366743875 & 9.47841833719376e-05 \tabularnewline
153 & 0.999868101360621 & 0.000263797278758156 & 0.000131898639379078 \tabularnewline
154 & 0.999988085655334 & 2.38286893310939e-05 & 1.1914344665547e-05 \tabularnewline
155 & 0.999985966830846 & 2.80663383084777e-05 & 1.40331691542389e-05 \tabularnewline
156 & 0.999983714113902 & 3.25717721967893e-05 & 1.62858860983947e-05 \tabularnewline
157 & 0.999978795697206 & 4.24086055877275e-05 & 2.12043027938638e-05 \tabularnewline
158 & 0.999979259401602 & 4.14811967968309e-05 & 2.07405983984155e-05 \tabularnewline
159 & 0.999979186021765 & 4.162795646919e-05 & 2.0813978234595e-05 \tabularnewline
160 & 0.999999376613811 & 1.24677237792068e-06 & 6.23386188960341e-07 \tabularnewline
161 & 0.999999710584716 & 5.78830568348741e-07 & 2.8941528417437e-07 \tabularnewline
162 & 0.999999908545412 & 1.82909175194722e-07 & 9.14545875973611e-08 \tabularnewline
163 & 0.999999952921561 & 9.4156877869494e-08 & 4.7078438934747e-08 \tabularnewline
164 & 0.999999977364909 & 4.52701820013063e-08 & 2.26350910006532e-08 \tabularnewline
165 & 0.999999969522558 & 6.09548838945915e-08 & 3.04774419472958e-08 \tabularnewline
166 & 0.999999982880102 & 3.42397951249118e-08 & 1.71198975624559e-08 \tabularnewline
167 & 0.99999997369334 & 5.26133207832621e-08 & 2.63066603916311e-08 \tabularnewline
168 & 0.999999981740485 & 3.65190291871178e-08 & 1.82595145935589e-08 \tabularnewline
169 & 0.999999970129066 & 5.9741868159259e-08 & 2.98709340796295e-08 \tabularnewline
170 & 0.999999996768431 & 6.46313716253445e-09 & 3.23156858126722e-09 \tabularnewline
171 & 0.999999999869458 & 2.61083046105703e-10 & 1.30541523052851e-10 \tabularnewline
172 & 0.999999999815734 & 3.6853112066327e-10 & 1.84265560331635e-10 \tabularnewline
173 & 0.999999999905854 & 1.88291079934777e-10 & 9.41455399673887e-11 \tabularnewline
174 & 0.999999999959444 & 8.11121873645904e-11 & 4.05560936822952e-11 \tabularnewline
175 & 0.999999999996756 & 6.48812702692127e-12 & 3.24406351346063e-12 \tabularnewline
176 & 0.999999999999485 & 1.02921371277105e-12 & 5.14606856385527e-13 \tabularnewline
177 & 0.999999999999047 & 1.90686395949526e-12 & 9.53431979747632e-13 \tabularnewline
178 & 0.999999999998383 & 3.23443778237327e-12 & 1.61721889118664e-12 \tabularnewline
179 & 0.999999999997187 & 5.6257916406294e-12 & 2.8128958203147e-12 \tabularnewline
180 & 0.999999999999554 & 8.9206333753562e-13 & 4.4603166876781e-13 \tabularnewline
181 & 0.999999999999326 & 1.3472688987479e-12 & 6.73634449373949e-13 \tabularnewline
182 & 0.999999999999443 & 1.11421961829928e-12 & 5.57109809149641e-13 \tabularnewline
183 & 0.99999999999889 & 2.21931702391832e-12 & 1.10965851195916e-12 \tabularnewline
184 & 0.999999999998642 & 2.71654327456893e-12 & 1.35827163728447e-12 \tabularnewline
185 & 0.999999999999985 & 2.97464564352586e-14 & 1.48732282176293e-14 \tabularnewline
186 & 0.999999999999972 & 5.56301742273967e-14 & 2.78150871136983e-14 \tabularnewline
187 & 0.999999999999943 & 1.13997689402517e-13 & 5.69988447012583e-14 \tabularnewline
188 & 0.999999999999884 & 2.31333761219699e-13 & 1.1566688060985e-13 \tabularnewline
189 & 0.999999999999967 & 6.64907969812419e-14 & 3.3245398490621e-14 \tabularnewline
190 & 0.999999999999937 & 1.25441948625051e-13 & 6.27209743125255e-14 \tabularnewline
191 & 0.999999999999944 & 1.11083534649145e-13 & 5.55417673245727e-14 \tabularnewline
192 & 0.999999999999905 & 1.89711751892502e-13 & 9.48558759462511e-14 \tabularnewline
193 & 0.999999999999803 & 3.93929815835686e-13 & 1.96964907917843e-13 \tabularnewline
194 & 0.999999999999772 & 4.56660478195857e-13 & 2.28330239097928e-13 \tabularnewline
195 & 0.999999999999804 & 3.92828043176806e-13 & 1.96414021588403e-13 \tabularnewline
196 & 0.999999999999847 & 3.06461144497853e-13 & 1.53230572248927e-13 \tabularnewline
197 & 0.999999999999684 & 6.32682387642161e-13 & 3.16341193821081e-13 \tabularnewline
198 & 0.999999999999394 & 1.21226937844012e-12 & 6.06134689220061e-13 \tabularnewline
199 & 0.999999999998798 & 2.40331098735305e-12 & 1.20165549367653e-12 \tabularnewline
200 & 0.999999999997752 & 4.49648837162165e-12 & 2.24824418581083e-12 \tabularnewline
201 & 0.999999999996461 & 7.07817195341889e-12 & 3.53908597670944e-12 \tabularnewline
202 & 0.999999999993941 & 1.21188619955959e-11 & 6.05943099779797e-12 \tabularnewline
203 & 0.999999999993937 & 1.21258054038191e-11 & 6.06290270190953e-12 \tabularnewline
204 & 0.99999999998785 & 2.43003187797372e-11 & 1.21501593898686e-11 \tabularnewline
205 & 0.999999999977784 & 4.44316486911215e-11 & 2.22158243455608e-11 \tabularnewline
206 & 0.999999999970934 & 5.8131686114655e-11 & 2.90658430573275e-11 \tabularnewline
207 & 0.999999999942739 & 1.1452118714772e-10 & 5.726059357386e-11 \tabularnewline
208 & 0.999999999999597 & 8.05494378663733e-13 & 4.02747189331866e-13 \tabularnewline
209 & 0.999999999999824 & 3.52450968940783e-13 & 1.76225484470391e-13 \tabularnewline
210 & 0.999999999999919 & 1.61143577172281e-13 & 8.05717885861404e-14 \tabularnewline
211 & 0.999999999999913 & 1.73737188387093e-13 & 8.68685941935466e-14 \tabularnewline
212 & 0.99999999999997 & 6.07806258490887e-14 & 3.03903129245443e-14 \tabularnewline
213 & 0.999999999999932 & 1.36801196114038e-13 & 6.84005980570191e-14 \tabularnewline
214 & 0.999999999999843 & 3.13373241712176e-13 & 1.56686620856088e-13 \tabularnewline
215 & 0.999999999999858 & 2.84156403131717e-13 & 1.42078201565859e-13 \tabularnewline
216 & 0.999999999999757 & 4.86995673151962e-13 & 2.43497836575981e-13 \tabularnewline
217 & 0.999999999999527 & 9.46635642757931e-13 & 4.73317821378965e-13 \tabularnewline
218 & 0.99999999999915 & 1.70060242346322e-12 & 8.50301211731609e-13 \tabularnewline
219 & 0.999999999998084 & 3.83298620705565e-12 & 1.91649310352783e-12 \tabularnewline
220 & 0.999999999997481 & 5.0372792919618e-12 & 2.5186396459809e-12 \tabularnewline
221 & 0.999999999994351 & 1.12985348046931e-11 & 5.64926740234653e-12 \tabularnewline
222 & 0.999999999988401 & 2.31984974578524e-11 & 1.15992487289262e-11 \tabularnewline
223 & 0.999999999977036 & 4.59285311692229e-11 & 2.29642655846115e-11 \tabularnewline
224 & 0.9999999999493 & 1.01400118883606e-10 & 5.07000594418032e-11 \tabularnewline
225 & 0.999999999919247 & 1.6150513910572e-10 & 8.07525695528599e-11 \tabularnewline
226 & 0.999999999965386 & 6.92272984238726e-11 & 3.46136492119363e-11 \tabularnewline
227 & 0.999999999929482 & 1.41035807796874e-10 & 7.05179038984371e-11 \tabularnewline
228 & 0.999999999901993 & 1.9601337537836e-10 & 9.800668768918e-11 \tabularnewline
229 & 0.999999999798426 & 4.03148347730884e-10 & 2.01574173865442e-10 \tabularnewline
230 & 0.999999999780736 & 4.38527600255015e-10 & 2.19263800127507e-10 \tabularnewline
231 & 0.999999999742541 & 5.14918123093015e-10 & 2.57459061546508e-10 \tabularnewline
232 & 0.999999999459392 & 1.08121613952438e-09 & 5.40608069762189e-10 \tabularnewline
233 & 0.999999998889865 & 2.22027005754168e-09 & 1.11013502877084e-09 \tabularnewline
234 & 0.999999998051562 & 3.89687678711055e-09 & 1.94843839355528e-09 \tabularnewline
235 & 0.999999998599033 & 2.80193493514032e-09 & 1.40096746757016e-09 \tabularnewline
236 & 0.999999998633015 & 2.73396940579391e-09 & 1.36698470289696e-09 \tabularnewline
237 & 0.999999999994337 & 1.1325603922286e-11 & 5.662801961143e-12 \tabularnewline
238 & 0.999999999989193 & 2.16136879129433e-11 & 1.08068439564716e-11 \tabularnewline
239 & 0.999999999973285 & 5.3430234715558e-11 & 2.6715117357779e-11 \tabularnewline
240 & 0.99999999998044 & 3.91203086211359e-11 & 1.95601543105679e-11 \tabularnewline
241 & 0.999999999962255 & 7.54899501238152e-11 & 3.77449750619076e-11 \tabularnewline
242 & 0.999999999966569 & 6.68622742295822e-11 & 3.34311371147911e-11 \tabularnewline
243 & 0.99999999998576 & 2.84807825535868e-11 & 1.42403912767934e-11 \tabularnewline
244 & 0.99999999997567 & 4.86598409952632e-11 & 2.43299204976316e-11 \tabularnewline
245 & 0.999999999933523 & 1.32953636473671e-10 & 6.64768182368355e-11 \tabularnewline
246 & 0.999999999835873 & 3.28254438481055e-10 & 1.64127219240527e-10 \tabularnewline
247 & 0.999999999572762 & 8.54476712811702e-10 & 4.27238356405851e-10 \tabularnewline
248 & 0.999999998951406 & 2.09718800270778e-09 & 1.04859400135389e-09 \tabularnewline
249 & 0.999999997723167 & 4.55366505294046e-09 & 2.27683252647023e-09 \tabularnewline
250 & 0.999999995952221 & 8.09555890678143e-09 & 4.04777945339071e-09 \tabularnewline
251 & 0.999999996383933 & 7.23213478997404e-09 & 3.61606739498702e-09 \tabularnewline
252 & 0.999999992056421 & 1.58871579569805e-08 & 7.94357897849026e-09 \tabularnewline
253 & 0.999999980836973 & 3.83260544833354e-08 & 1.91630272416677e-08 \tabularnewline
254 & 0.999999951498883 & 9.70022336371062e-08 & 4.85011168185531e-08 \tabularnewline
255 & 0.999999884381367 & 2.31237266847477e-07 & 1.15618633423739e-07 \tabularnewline
256 & 0.999999730049347 & 5.39901305919537e-07 & 2.69950652959768e-07 \tabularnewline
257 & 0.999999583832728 & 8.32334543603036e-07 & 4.16167271801518e-07 \tabularnewline
258 & 0.999999139881696 & 1.72023660847725e-06 & 8.60118304238625e-07 \tabularnewline
259 & 0.999998141496899 & 3.71700620109181e-06 & 1.85850310054591e-06 \tabularnewline
260 & 0.999996767936336 & 6.46412732857557e-06 & 3.23206366428778e-06 \tabularnewline
261 & 0.999998368919344 & 3.26216131149978e-06 & 1.63108065574989e-06 \tabularnewline
262 & 0.99999597612975 & 8.04774049989072e-06 & 4.02387024994536e-06 \tabularnewline
263 & 0.999991792071161 & 1.64158576778969e-05 & 8.20792883894847e-06 \tabularnewline
264 & 0.99998291323979 & 3.41735204205128e-05 & 1.70867602102564e-05 \tabularnewline
265 & 0.99998159897132 & 3.68020573605317e-05 & 1.84010286802658e-05 \tabularnewline
266 & 0.999966895483463 & 6.62090330734822e-05 & 3.31045165367411e-05 \tabularnewline
267 & 0.999952096737083 & 9.58065258338231e-05 & 4.79032629169115e-05 \tabularnewline
268 & 0.999938963759768 & 0.000122072480464759 & 6.10362402323795e-05 \tabularnewline
269 & 0.999994486329028 & 1.10273419438751e-05 & 5.51367097193756e-06 \tabularnewline
270 & 0.999994599670873 & 1.08006582536735e-05 & 5.40032912683674e-06 \tabularnewline
271 & 0.999988960171199 & 2.2079657601446e-05 & 1.1039828800723e-05 \tabularnewline
272 & 0.999965789982512 & 6.84200349769991e-05 & 3.42100174884996e-05 \tabularnewline
273 & 0.999897521608242 & 0.00020495678351563 & 0.000102478391757815 \tabularnewline
274 & 0.999717849202857 & 0.000564301594285376 & 0.000282150797142688 \tabularnewline
275 & 0.999180105179165 & 0.00163978964166954 & 0.000819894820834772 \tabularnewline
276 & 0.998212637873855 & 0.00357472425228979 & 0.0017873621261449 \tabularnewline
277 & 0.995656411822415 & 0.00868717635516954 & 0.00434358817758477 \tabularnewline
278 & 0.993128606579484 & 0.0137427868410323 & 0.00687139342051616 \tabularnewline
279 & 0.986732226135944 & 0.0265355477281113 & 0.0132677738640557 \tabularnewline
280 & 0.978079253894139 & 0.0438414922117222 & 0.0219207461058611 \tabularnewline
281 & 0.953441899989149 & 0.093116200021702 & 0.046558100010851 \tabularnewline
282 & 0.880468169257837 & 0.239063661484325 & 0.119531830742163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199071&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0.989947292756753[/C][C]0.0201054144864935[/C][C]0.0100527072432468[/C][/ROW]
[ROW][C]8[/C][C]0.97710426865456[/C][C]0.0457914626908805[/C][C]0.0228957313454402[/C][/ROW]
[ROW][C]9[/C][C]0.962544575109399[/C][C]0.0749108497812031[/C][C]0.0374554248906015[/C][/ROW]
[ROW][C]10[/C][C]0.954392951257167[/C][C]0.0912140974856664[/C][C]0.0456070487428332[/C][/ROW]
[ROW][C]11[/C][C]0.97666151706227[/C][C]0.0466769658754594[/C][C]0.0233384829377297[/C][/ROW]
[ROW][C]12[/C][C]0.965053800619924[/C][C]0.0698923987601519[/C][C]0.034946199380076[/C][/ROW]
[ROW][C]13[/C][C]0.961847673286811[/C][C]0.0763046534263772[/C][C]0.0381523267131886[/C][/ROW]
[ROW][C]14[/C][C]0.94061724648381[/C][C]0.11876550703238[/C][C]0.0593827535161899[/C][/ROW]
[ROW][C]15[/C][C]0.977768483285164[/C][C]0.0444630334296716[/C][C]0.0222315167148358[/C][/ROW]
[ROW][C]16[/C][C]0.966555599046415[/C][C]0.0668888019071695[/C][C]0.0334444009535847[/C][/ROW]
[ROW][C]17[/C][C]0.962712995045272[/C][C]0.0745740099094557[/C][C]0.0372870049547278[/C][/ROW]
[ROW][C]18[/C][C]0.945897281681046[/C][C]0.108205436637908[/C][C]0.0541027183189542[/C][/ROW]
[ROW][C]19[/C][C]0.950024556654699[/C][C]0.0999508866906011[/C][C]0.0499754433453005[/C][/ROW]
[ROW][C]20[/C][C]0.937905877551754[/C][C]0.124188244896493[/C][C]0.0620941224482464[/C][/ROW]
[ROW][C]21[/C][C]0.915982978216696[/C][C]0.168034043566608[/C][C]0.084017021783304[/C][/ROW]
[ROW][C]22[/C][C]0.892833849870102[/C][C]0.214332300259797[/C][C]0.107166150129899[/C][/ROW]
[ROW][C]23[/C][C]0.997465809922805[/C][C]0.00506838015439102[/C][C]0.00253419007719551[/C][/ROW]
[ROW][C]24[/C][C]0.996584980101779[/C][C]0.0068300397964412[/C][C]0.0034150198982206[/C][/ROW]
[ROW][C]25[/C][C]0.996078052258794[/C][C]0.00784389548241197[/C][C]0.00392194774120599[/C][/ROW]
[ROW][C]26[/C][C]0.995926673561245[/C][C]0.0081466528775107[/C][C]0.00407332643875535[/C][/ROW]
[ROW][C]27[/C][C]0.997017374154801[/C][C]0.00596525169039753[/C][C]0.00298262584519876[/C][/ROW]
[ROW][C]28[/C][C]0.996020766898848[/C][C]0.00795846620230446[/C][C]0.00397923310115223[/C][/ROW]
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[ROW][C]166[/C][C]0.999999982880102[/C][C]3.42397951249118e-08[/C][C]1.71198975624559e-08[/C][/ROW]
[ROW][C]167[/C][C]0.99999997369334[/C][C]5.26133207832621e-08[/C][C]2.63066603916311e-08[/C][/ROW]
[ROW][C]168[/C][C]0.999999981740485[/C][C]3.65190291871178e-08[/C][C]1.82595145935589e-08[/C][/ROW]
[ROW][C]169[/C][C]0.999999970129066[/C][C]5.9741868159259e-08[/C][C]2.98709340796295e-08[/C][/ROW]
[ROW][C]170[/C][C]0.999999996768431[/C][C]6.46313716253445e-09[/C][C]3.23156858126722e-09[/C][/ROW]
[ROW][C]171[/C][C]0.999999999869458[/C][C]2.61083046105703e-10[/C][C]1.30541523052851e-10[/C][/ROW]
[ROW][C]172[/C][C]0.999999999815734[/C][C]3.6853112066327e-10[/C][C]1.84265560331635e-10[/C][/ROW]
[ROW][C]173[/C][C]0.999999999905854[/C][C]1.88291079934777e-10[/C][C]9.41455399673887e-11[/C][/ROW]
[ROW][C]174[/C][C]0.999999999959444[/C][C]8.11121873645904e-11[/C][C]4.05560936822952e-11[/C][/ROW]
[ROW][C]175[/C][C]0.999999999996756[/C][C]6.48812702692127e-12[/C][C]3.24406351346063e-12[/C][/ROW]
[ROW][C]176[/C][C]0.999999999999485[/C][C]1.02921371277105e-12[/C][C]5.14606856385527e-13[/C][/ROW]
[ROW][C]177[/C][C]0.999999999999047[/C][C]1.90686395949526e-12[/C][C]9.53431979747632e-13[/C][/ROW]
[ROW][C]178[/C][C]0.999999999998383[/C][C]3.23443778237327e-12[/C][C]1.61721889118664e-12[/C][/ROW]
[ROW][C]179[/C][C]0.999999999997187[/C][C]5.6257916406294e-12[/C][C]2.8128958203147e-12[/C][/ROW]
[ROW][C]180[/C][C]0.999999999999554[/C][C]8.9206333753562e-13[/C][C]4.4603166876781e-13[/C][/ROW]
[ROW][C]181[/C][C]0.999999999999326[/C][C]1.3472688987479e-12[/C][C]6.73634449373949e-13[/C][/ROW]
[ROW][C]182[/C][C]0.999999999999443[/C][C]1.11421961829928e-12[/C][C]5.57109809149641e-13[/C][/ROW]
[ROW][C]183[/C][C]0.99999999999889[/C][C]2.21931702391832e-12[/C][C]1.10965851195916e-12[/C][/ROW]
[ROW][C]184[/C][C]0.999999999998642[/C][C]2.71654327456893e-12[/C][C]1.35827163728447e-12[/C][/ROW]
[ROW][C]185[/C][C]0.999999999999985[/C][C]2.97464564352586e-14[/C][C]1.48732282176293e-14[/C][/ROW]
[ROW][C]186[/C][C]0.999999999999972[/C][C]5.56301742273967e-14[/C][C]2.78150871136983e-14[/C][/ROW]
[ROW][C]187[/C][C]0.999999999999943[/C][C]1.13997689402517e-13[/C][C]5.69988447012583e-14[/C][/ROW]
[ROW][C]188[/C][C]0.999999999999884[/C][C]2.31333761219699e-13[/C][C]1.1566688060985e-13[/C][/ROW]
[ROW][C]189[/C][C]0.999999999999967[/C][C]6.64907969812419e-14[/C][C]3.3245398490621e-14[/C][/ROW]
[ROW][C]190[/C][C]0.999999999999937[/C][C]1.25441948625051e-13[/C][C]6.27209743125255e-14[/C][/ROW]
[ROW][C]191[/C][C]0.999999999999944[/C][C]1.11083534649145e-13[/C][C]5.55417673245727e-14[/C][/ROW]
[ROW][C]192[/C][C]0.999999999999905[/C][C]1.89711751892502e-13[/C][C]9.48558759462511e-14[/C][/ROW]
[ROW][C]193[/C][C]0.999999999999803[/C][C]3.93929815835686e-13[/C][C]1.96964907917843e-13[/C][/ROW]
[ROW][C]194[/C][C]0.999999999999772[/C][C]4.56660478195857e-13[/C][C]2.28330239097928e-13[/C][/ROW]
[ROW][C]195[/C][C]0.999999999999804[/C][C]3.92828043176806e-13[/C][C]1.96414021588403e-13[/C][/ROW]
[ROW][C]196[/C][C]0.999999999999847[/C][C]3.06461144497853e-13[/C][C]1.53230572248927e-13[/C][/ROW]
[ROW][C]197[/C][C]0.999999999999684[/C][C]6.32682387642161e-13[/C][C]3.16341193821081e-13[/C][/ROW]
[ROW][C]198[/C][C]0.999999999999394[/C][C]1.21226937844012e-12[/C][C]6.06134689220061e-13[/C][/ROW]
[ROW][C]199[/C][C]0.999999999998798[/C][C]2.40331098735305e-12[/C][C]1.20165549367653e-12[/C][/ROW]
[ROW][C]200[/C][C]0.999999999997752[/C][C]4.49648837162165e-12[/C][C]2.24824418581083e-12[/C][/ROW]
[ROW][C]201[/C][C]0.999999999996461[/C][C]7.07817195341889e-12[/C][C]3.53908597670944e-12[/C][/ROW]
[ROW][C]202[/C][C]0.999999999993941[/C][C]1.21188619955959e-11[/C][C]6.05943099779797e-12[/C][/ROW]
[ROW][C]203[/C][C]0.999999999993937[/C][C]1.21258054038191e-11[/C][C]6.06290270190953e-12[/C][/ROW]
[ROW][C]204[/C][C]0.99999999998785[/C][C]2.43003187797372e-11[/C][C]1.21501593898686e-11[/C][/ROW]
[ROW][C]205[/C][C]0.999999999977784[/C][C]4.44316486911215e-11[/C][C]2.22158243455608e-11[/C][/ROW]
[ROW][C]206[/C][C]0.999999999970934[/C][C]5.8131686114655e-11[/C][C]2.90658430573275e-11[/C][/ROW]
[ROW][C]207[/C][C]0.999999999942739[/C][C]1.1452118714772e-10[/C][C]5.726059357386e-11[/C][/ROW]
[ROW][C]208[/C][C]0.999999999999597[/C][C]8.05494378663733e-13[/C][C]4.02747189331866e-13[/C][/ROW]
[ROW][C]209[/C][C]0.999999999999824[/C][C]3.52450968940783e-13[/C][C]1.76225484470391e-13[/C][/ROW]
[ROW][C]210[/C][C]0.999999999999919[/C][C]1.61143577172281e-13[/C][C]8.05717885861404e-14[/C][/ROW]
[ROW][C]211[/C][C]0.999999999999913[/C][C]1.73737188387093e-13[/C][C]8.68685941935466e-14[/C][/ROW]
[ROW][C]212[/C][C]0.99999999999997[/C][C]6.07806258490887e-14[/C][C]3.03903129245443e-14[/C][/ROW]
[ROW][C]213[/C][C]0.999999999999932[/C][C]1.36801196114038e-13[/C][C]6.84005980570191e-14[/C][/ROW]
[ROW][C]214[/C][C]0.999999999999843[/C][C]3.13373241712176e-13[/C][C]1.56686620856088e-13[/C][/ROW]
[ROW][C]215[/C][C]0.999999999999858[/C][C]2.84156403131717e-13[/C][C]1.42078201565859e-13[/C][/ROW]
[ROW][C]216[/C][C]0.999999999999757[/C][C]4.86995673151962e-13[/C][C]2.43497836575981e-13[/C][/ROW]
[ROW][C]217[/C][C]0.999999999999527[/C][C]9.46635642757931e-13[/C][C]4.73317821378965e-13[/C][/ROW]
[ROW][C]218[/C][C]0.99999999999915[/C][C]1.70060242346322e-12[/C][C]8.50301211731609e-13[/C][/ROW]
[ROW][C]219[/C][C]0.999999999998084[/C][C]3.83298620705565e-12[/C][C]1.91649310352783e-12[/C][/ROW]
[ROW][C]220[/C][C]0.999999999997481[/C][C]5.0372792919618e-12[/C][C]2.5186396459809e-12[/C][/ROW]
[ROW][C]221[/C][C]0.999999999994351[/C][C]1.12985348046931e-11[/C][C]5.64926740234653e-12[/C][/ROW]
[ROW][C]222[/C][C]0.999999999988401[/C][C]2.31984974578524e-11[/C][C]1.15992487289262e-11[/C][/ROW]
[ROW][C]223[/C][C]0.999999999977036[/C][C]4.59285311692229e-11[/C][C]2.29642655846115e-11[/C][/ROW]
[ROW][C]224[/C][C]0.9999999999493[/C][C]1.01400118883606e-10[/C][C]5.07000594418032e-11[/C][/ROW]
[ROW][C]225[/C][C]0.999999999919247[/C][C]1.6150513910572e-10[/C][C]8.07525695528599e-11[/C][/ROW]
[ROW][C]226[/C][C]0.999999999965386[/C][C]6.92272984238726e-11[/C][C]3.46136492119363e-11[/C][/ROW]
[ROW][C]227[/C][C]0.999999999929482[/C][C]1.41035807796874e-10[/C][C]7.05179038984371e-11[/C][/ROW]
[ROW][C]228[/C][C]0.999999999901993[/C][C]1.9601337537836e-10[/C][C]9.800668768918e-11[/C][/ROW]
[ROW][C]229[/C][C]0.999999999798426[/C][C]4.03148347730884e-10[/C][C]2.01574173865442e-10[/C][/ROW]
[ROW][C]230[/C][C]0.999999999780736[/C][C]4.38527600255015e-10[/C][C]2.19263800127507e-10[/C][/ROW]
[ROW][C]231[/C][C]0.999999999742541[/C][C]5.14918123093015e-10[/C][C]2.57459061546508e-10[/C][/ROW]
[ROW][C]232[/C][C]0.999999999459392[/C][C]1.08121613952438e-09[/C][C]5.40608069762189e-10[/C][/ROW]
[ROW][C]233[/C][C]0.999999998889865[/C][C]2.22027005754168e-09[/C][C]1.11013502877084e-09[/C][/ROW]
[ROW][C]234[/C][C]0.999999998051562[/C][C]3.89687678711055e-09[/C][C]1.94843839355528e-09[/C][/ROW]
[ROW][C]235[/C][C]0.999999998599033[/C][C]2.80193493514032e-09[/C][C]1.40096746757016e-09[/C][/ROW]
[ROW][C]236[/C][C]0.999999998633015[/C][C]2.73396940579391e-09[/C][C]1.36698470289696e-09[/C][/ROW]
[ROW][C]237[/C][C]0.999999999994337[/C][C]1.1325603922286e-11[/C][C]5.662801961143e-12[/C][/ROW]
[ROW][C]238[/C][C]0.999999999989193[/C][C]2.16136879129433e-11[/C][C]1.08068439564716e-11[/C][/ROW]
[ROW][C]239[/C][C]0.999999999973285[/C][C]5.3430234715558e-11[/C][C]2.6715117357779e-11[/C][/ROW]
[ROW][C]240[/C][C]0.99999999998044[/C][C]3.91203086211359e-11[/C][C]1.95601543105679e-11[/C][/ROW]
[ROW][C]241[/C][C]0.999999999962255[/C][C]7.54899501238152e-11[/C][C]3.77449750619076e-11[/C][/ROW]
[ROW][C]242[/C][C]0.999999999966569[/C][C]6.68622742295822e-11[/C][C]3.34311371147911e-11[/C][/ROW]
[ROW][C]243[/C][C]0.99999999998576[/C][C]2.84807825535868e-11[/C][C]1.42403912767934e-11[/C][/ROW]
[ROW][C]244[/C][C]0.99999999997567[/C][C]4.86598409952632e-11[/C][C]2.43299204976316e-11[/C][/ROW]
[ROW][C]245[/C][C]0.999999999933523[/C][C]1.32953636473671e-10[/C][C]6.64768182368355e-11[/C][/ROW]
[ROW][C]246[/C][C]0.999999999835873[/C][C]3.28254438481055e-10[/C][C]1.64127219240527e-10[/C][/ROW]
[ROW][C]247[/C][C]0.999999999572762[/C][C]8.54476712811702e-10[/C][C]4.27238356405851e-10[/C][/ROW]
[ROW][C]248[/C][C]0.999999998951406[/C][C]2.09718800270778e-09[/C][C]1.04859400135389e-09[/C][/ROW]
[ROW][C]249[/C][C]0.999999997723167[/C][C]4.55366505294046e-09[/C][C]2.27683252647023e-09[/C][/ROW]
[ROW][C]250[/C][C]0.999999995952221[/C][C]8.09555890678143e-09[/C][C]4.04777945339071e-09[/C][/ROW]
[ROW][C]251[/C][C]0.999999996383933[/C][C]7.23213478997404e-09[/C][C]3.61606739498702e-09[/C][/ROW]
[ROW][C]252[/C][C]0.999999992056421[/C][C]1.58871579569805e-08[/C][C]7.94357897849026e-09[/C][/ROW]
[ROW][C]253[/C][C]0.999999980836973[/C][C]3.83260544833354e-08[/C][C]1.91630272416677e-08[/C][/ROW]
[ROW][C]254[/C][C]0.999999951498883[/C][C]9.70022336371062e-08[/C][C]4.85011168185531e-08[/C][/ROW]
[ROW][C]255[/C][C]0.999999884381367[/C][C]2.31237266847477e-07[/C][C]1.15618633423739e-07[/C][/ROW]
[ROW][C]256[/C][C]0.999999730049347[/C][C]5.39901305919537e-07[/C][C]2.69950652959768e-07[/C][/ROW]
[ROW][C]257[/C][C]0.999999583832728[/C][C]8.32334543603036e-07[/C][C]4.16167271801518e-07[/C][/ROW]
[ROW][C]258[/C][C]0.999999139881696[/C][C]1.72023660847725e-06[/C][C]8.60118304238625e-07[/C][/ROW]
[ROW][C]259[/C][C]0.999998141496899[/C][C]3.71700620109181e-06[/C][C]1.85850310054591e-06[/C][/ROW]
[ROW][C]260[/C][C]0.999996767936336[/C][C]6.46412732857557e-06[/C][C]3.23206366428778e-06[/C][/ROW]
[ROW][C]261[/C][C]0.999998368919344[/C][C]3.26216131149978e-06[/C][C]1.63108065574989e-06[/C][/ROW]
[ROW][C]262[/C][C]0.99999597612975[/C][C]8.04774049989072e-06[/C][C]4.02387024994536e-06[/C][/ROW]
[ROW][C]263[/C][C]0.999991792071161[/C][C]1.64158576778969e-05[/C][C]8.20792883894847e-06[/C][/ROW]
[ROW][C]264[/C][C]0.99998291323979[/C][C]3.41735204205128e-05[/C][C]1.70867602102564e-05[/C][/ROW]
[ROW][C]265[/C][C]0.99998159897132[/C][C]3.68020573605317e-05[/C][C]1.84010286802658e-05[/C][/ROW]
[ROW][C]266[/C][C]0.999966895483463[/C][C]6.62090330734822e-05[/C][C]3.31045165367411e-05[/C][/ROW]
[ROW][C]267[/C][C]0.999952096737083[/C][C]9.58065258338231e-05[/C][C]4.79032629169115e-05[/C][/ROW]
[ROW][C]268[/C][C]0.999938963759768[/C][C]0.000122072480464759[/C][C]6.10362402323795e-05[/C][/ROW]
[ROW][C]269[/C][C]0.999994486329028[/C][C]1.10273419438751e-05[/C][C]5.51367097193756e-06[/C][/ROW]
[ROW][C]270[/C][C]0.999994599670873[/C][C]1.08006582536735e-05[/C][C]5.40032912683674e-06[/C][/ROW]
[ROW][C]271[/C][C]0.999988960171199[/C][C]2.2079657601446e-05[/C][C]1.1039828800723e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999965789982512[/C][C]6.84200349769991e-05[/C][C]3.42100174884996e-05[/C][/ROW]
[ROW][C]273[/C][C]0.999897521608242[/C][C]0.00020495678351563[/C][C]0.000102478391757815[/C][/ROW]
[ROW][C]274[/C][C]0.999717849202857[/C][C]0.000564301594285376[/C][C]0.000282150797142688[/C][/ROW]
[ROW][C]275[/C][C]0.999180105179165[/C][C]0.00163978964166954[/C][C]0.000819894820834772[/C][/ROW]
[ROW][C]276[/C][C]0.998212637873855[/C][C]0.00357472425228979[/C][C]0.0017873621261449[/C][/ROW]
[ROW][C]277[/C][C]0.995656411822415[/C][C]0.00868717635516954[/C][C]0.00434358817758477[/C][/ROW]
[ROW][C]278[/C][C]0.993128606579484[/C][C]0.0137427868410323[/C][C]0.00687139342051616[/C][/ROW]
[ROW][C]279[/C][C]0.986732226135944[/C][C]0.0265355477281113[/C][C]0.0132677738640557[/C][/ROW]
[ROW][C]280[/C][C]0.978079253894139[/C][C]0.0438414922117222[/C][C]0.0219207461058611[/C][/ROW]
[ROW][C]281[/C][C]0.953441899989149[/C][C]0.093116200021702[/C][C]0.046558100010851[/C][/ROW]
[ROW][C]282[/C][C]0.880468169257837[/C][C]0.239063661484325[/C][C]0.119531830742163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199071&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199071&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.9899472927567530.02010541448649350.0100527072432468
80.977104268654560.04579146269088050.0228957313454402
90.9625445751093990.07491084978120310.0374554248906015
100.9543929512571670.09121409748566640.0456070487428332
110.976661517062270.04667696587545940.0233384829377297
120.9650538006199240.06989239876015190.034946199380076
130.9618476732868110.07630465342637720.0381523267131886
140.940617246483810.118765507032380.0593827535161899
150.9777684832851640.04446303342967160.0222315167148358
160.9665555990464150.06688880190716950.0334444009535847
170.9627129950452720.07457400990945570.0372870049547278
180.9458972816810460.1082054366379080.0541027183189542
190.9500245566546990.09995088669060110.0499754433453005
200.9379058775517540.1241882448964930.0620941224482464
210.9159829782166960.1680340435666080.084017021783304
220.8928338498701020.2143323002597970.107166150129899
230.9974658099228050.005068380154391020.00253419007719551
240.9965849801017790.00683003979644120.0034150198982206
250.9960780522587940.007843895482411970.00392194774120599
260.9959266735612450.00814665287751070.00407332643875535
270.9970173741548010.005965251690397530.00298262584519876
280.9960207668988480.007958466202304460.00397923310115223
290.9951396594896060.009720681020787740.00486034051039387
300.9932686748145940.01346265037081110.00673132518540554
310.9946707527476930.01065849450461320.00532924725230661
320.9923256155867070.01534876882658620.00767438441329309
330.9898098880114120.02038022397717560.0101901119885878
340.9888123343530420.02237533129391650.0111876656469582
350.9884455366990850.02310892660183020.0115544633009151
360.9929096491113010.01418070177739780.00709035088869892
370.9905751113712320.01884977725753530.00942488862876767
380.9938626885220580.01227462295588310.00613731147794157
390.9975376004078910.004924799184218070.00246239959210904
400.9966470057952360.006705988409528090.00335299420476404
410.9952784089310330.009443182137934530.00472159106896726
420.9940030402184470.01199391956310620.0059969597815531
430.9937038673016090.01259226539678230.00629613269839114
440.9924885642800150.01502287143996960.0075114357199848
450.9969278017003530.006144396599293550.00307219829964678
460.9960183233440360.007963353311927380.00398167665596369
470.9947449766314020.01051004673719630.00525502336859815
480.9934379497877210.01312410042455820.00656205021227912
490.9913225068801140.01735498623977270.00867749311988635
500.9947698202737650.01046035945247070.00523017972623533
510.9980409879621550.00391802407568980.0019590120378449
520.9977232986966790.004553402606642950.00227670130332147
530.9970425475224370.005914904955126330.00295745247756316
540.9961285179632350.007742964073530810.00387148203676541
550.9947849261566690.01043014768666170.00521507384333084
560.9931359854836370.01372802903272520.00686401451636258
570.9910235704380950.01795285912380970.00897642956190485
580.9980431573998660.003913685200267950.00195684260013398
590.9973721536458850.005255692708229020.00262784635411451
600.9965040184886120.00699196302277650.00349598151138825
610.9971654712706240.005669057458752290.00283452872937614
620.99657269250330.006854614993400020.00342730749670001
630.9969368020982810.006126395803437670.00306319790171883
640.9959885930926390.008022813814721130.00401140690736057
650.9962249092033620.007550181593275640.00377509079663782
660.9950706441383610.009858711723277250.00492935586163862
670.9941459204019640.01170815919607220.00585407959803609
680.9932679011346480.01346419773070380.0067320988653519
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1900.9999999999999371.25441948625051e-136.27209743125255e-14
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1950.9999999999998043.92828043176806e-131.96414021588403e-13
1960.9999999999998473.06461144497853e-131.53230572248927e-13
1970.9999999999996846.32682387642161e-133.16341193821081e-13
1980.9999999999993941.21226937844012e-126.06134689220061e-13
1990.9999999999987982.40331098735305e-121.20165549367653e-12
2000.9999999999977524.49648837162165e-122.24824418581083e-12
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2100.9999999999999191.61143577172281e-138.05717885861404e-14
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2230.9999999999770364.59285311692229e-112.29642655846115e-11
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2270.9999999999294821.41035807796874e-107.05179038984371e-11
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2370.9999999999943371.1325603922286e-115.662801961143e-12
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2390.9999999999732855.3430234715558e-112.6715117357779e-11
2400.999999999980443.91203086211359e-111.95601543105679e-11
2410.9999999999622557.54899501238152e-113.77449750619076e-11
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2440.999999999975674.86598409952632e-112.43299204976316e-11
2450.9999999999335231.32953636473671e-106.64768182368355e-11
2460.9999999998358733.28254438481055e-101.64127219240527e-10
2470.9999999995727628.54476712811702e-104.27238356405851e-10
2480.9999999989514062.09718800270778e-091.04859400135389e-09
2490.9999999977231674.55366505294046e-092.27683252647023e-09
2500.9999999959522218.09555890678143e-094.04777945339071e-09
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2800.9780792538941390.04384149221172220.0219207461058611
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2140.77536231884058NOK
5% type I error level2610.945652173913043NOK
10% type I error level2700.978260869565217NOK

\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 & 214 & 0.77536231884058 & NOK \tabularnewline
5% type I error level & 261 & 0.945652173913043 & NOK \tabularnewline
10% type I error level & 270 & 0.978260869565217 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199071&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]214[/C][C]0.77536231884058[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]261[/C][C]0.945652173913043[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]270[/C][C]0.978260869565217[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199071&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199071&T=6

As an alternative you can also use a 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 level2140.77536231884058NOK
5% type I error level2610.945652173913043NOK
10% type I error level2700.978260869565217NOK



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