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rwasp_multipleregression.wasp

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Multiple Regression

Date of computation

Tue, 12 Nov 2013 13:56:14 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/12/t13842828345uhxa54nx3ef1mw.htm/, Retrieved Thu, 02 May 2024 16:53:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=224517, Retrieved Thu, 02 May 2024 16:53:58 +0000

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-       [Multiple Regression] [nj] [2013-11-12 18:56:14] [3ee9af9023d551eb0318c89a6418f337] [Current]

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 5,460010956 
 5,637286483 
 5,578219252 
 5,483551345 
 5,305292980 
 5,483966713 
 5,485211785 
 5,410752796 
 5,328361488 
 5,163070217 
 5,314682721 
 5,395897695 
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 5,850476854 
 5,823933076 
 5,792098556 
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 6,084043728 
 5,980403600 
 5,895779297 
 5,937008361 
 5,877735782 
 5,910796644 
 6,141607206 
 6,171909344 
 6,066803904 
 5,903998521 
 5,787817204 
 5,872399440 
 5,803929423 
 5,565669173 
 5,517452896 
 5,325446034 
 5,462135452 
 5,484381910 
 5,579352396 
 5,536546555 
 5,448029640 
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 5,071416766 
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 6,000672028 
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 5,508173024 
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 6,258242135 
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 5,507361993 
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 6,042157661 
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 6,467232779 
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 6,302069374 
 6,449838311 
 6,467388119 
 6,385363019 
 6,362510728 
 6,302618976 
 6,333101992 
 6,350012735

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	15 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 15 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224517&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224517&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	15 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Multiple Linear Regression - Estimated Regression Equation
ln[t] = + 5.36215 + 0.18558M1[t] + 0.207282M2[t] + 0.148914M3[t] + 0.0494318M4[t] -0.0117589M5[t] + 0.17346M6[t] + 0.114546M7[t] + 0.0253402M8[t] -0.0246098M9[t] -0.0764556M10[t] -0.0046176M11[t] + 0.00253142t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
ln[t] =  +  5.36215 +  0.18558M1[t] +  0.207282M2[t] +  0.148914M3[t] +  0.0494318M4[t] -0.0117589M5[t] +  0.17346M6[t] +  0.114546M7[t] +  0.0253402M8[t] -0.0246098M9[t] -0.0764556M10[t] -0.0046176M11[t] +  0.00253142t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224517&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]ln[t] =  +  5.36215 +  0.18558M1[t] +  0.207282M2[t] +  0.148914M3[t] +  0.0494318M4[t] -0.0117589M5[t] +  0.17346M6[t] +  0.114546M7[t] +  0.0253402M8[t] -0.0246098M9[t] -0.0764556M10[t] -0.0046176M11[t] +  0.00253142t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224517&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
ln[t] = + 5.36215 + 0.18558M1[t] + 0.207282M2[t] + 0.148914M3[t] + 0.0494318M4[t] -0.0117589M5[t] + 0.17346M6[t] + 0.114546M7[t] + 0.0253402M8[t] -0.0246098M9[t] -0.0764556M10[t] -0.0046176M11[t] + 0.00253142t + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	5.36215	0.0534261	100.4	9.38005e-265	4.69003e-265
M1	0.18558	0.0671479	2.764	0.00600882	0.00300441
M2	0.207282	0.0671454	3.087	0.00217868	0.00108934
M3	0.148914	0.0671431	2.218	0.0271894	0.0135947
M4	0.0494318	0.067141	0.7362	0.462066	0.231033
M5	-0.0117589	0.0671392	-0.1751	0.861066	0.430533
M6	0.17346	0.0671376	2.584	0.0101708	0.0050854
M7	0.114546	0.0671363	1.706	0.0888421	0.044421
M8	0.0253402	0.0671352	0.3775	0.706062	0.353031
M9	-0.0246098	0.0671343	-0.3666	0.714152	0.357076
M10	-0.0764556	0.0671337	-1.139	0.255523	0.127761
M11	-0.0046176	0.0671334	-0.06878	0.945201	0.472601
t	0.00253142	0.000127675	19.83	1.28972e-59	6.44858e-60

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 5.36215 & 0.0534261 & 100.4 & 9.38005e-265 & 4.69003e-265 \tabularnewline
M1 & 0.18558 & 0.0671479 & 2.764 & 0.00600882 & 0.00300441 \tabularnewline
M2 & 0.207282 & 0.0671454 & 3.087 & 0.00217868 & 0.00108934 \tabularnewline
M3 & 0.148914 & 0.0671431 & 2.218 & 0.0271894 & 0.0135947 \tabularnewline
M4 & 0.0494318 & 0.067141 & 0.7362 & 0.462066 & 0.231033 \tabularnewline
M5 & -0.0117589 & 0.0671392 & -0.1751 & 0.861066 & 0.430533 \tabularnewline
M6 & 0.17346 & 0.0671376 & 2.584 & 0.0101708 & 0.0050854 \tabularnewline
M7 & 0.114546 & 0.0671363 & 1.706 & 0.0888421 & 0.044421 \tabularnewline
M8 & 0.0253402 & 0.0671352 & 0.3775 & 0.706062 & 0.353031 \tabularnewline
M9 & -0.0246098 & 0.0671343 & -0.3666 & 0.714152 & 0.357076 \tabularnewline
M10 & -0.0764556 & 0.0671337 & -1.139 & 0.255523 & 0.127761 \tabularnewline
M11 & -0.0046176 & 0.0671334 & -0.06878 & 0.945201 & 0.472601 \tabularnewline
t & 0.00253142 & 0.000127675 & 19.83 & 1.28972e-59 & 6.44858e-60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224517&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]5.36215[/C][C]0.0534261[/C][C]100.4[/C][C]9.38005e-265[/C][C]4.69003e-265[/C][/ROW]
[ROW][C]M1[/C][C]0.18558[/C][C]0.0671479[/C][C]2.764[/C][C]0.00600882[/C][C]0.00300441[/C][/ROW]
[ROW][C]M2[/C][C]0.207282[/C][C]0.0671454[/C][C]3.087[/C][C]0.00217868[/C][C]0.00108934[/C][/ROW]
[ROW][C]M3[/C][C]0.148914[/C][C]0.0671431[/C][C]2.218[/C][C]0.0271894[/C][C]0.0135947[/C][/ROW]
[ROW][C]M4[/C][C]0.0494318[/C][C]0.067141[/C][C]0.7362[/C][C]0.462066[/C][C]0.231033[/C][/ROW]
[ROW][C]M5[/C][C]-0.0117589[/C][C]0.0671392[/C][C]-0.1751[/C][C]0.861066[/C][C]0.430533[/C][/ROW]
[ROW][C]M6[/C][C]0.17346[/C][C]0.0671376[/C][C]2.584[/C][C]0.0101708[/C][C]0.0050854[/C][/ROW]
[ROW][C]M7[/C][C]0.114546[/C][C]0.0671363[/C][C]1.706[/C][C]0.0888421[/C][C]0.044421[/C][/ROW]
[ROW][C]M8[/C][C]0.0253402[/C][C]0.0671352[/C][C]0.3775[/C][C]0.706062[/C][C]0.353031[/C][/ROW]
[ROW][C]M9[/C][C]-0.0246098[/C][C]0.0671343[/C][C]-0.3666[/C][C]0.714152[/C][C]0.357076[/C][/ROW]
[ROW][C]M10[/C][C]-0.0764556[/C][C]0.0671337[/C][C]-1.139[/C][C]0.255523[/C][C]0.127761[/C][/ROW]
[ROW][C]M11[/C][C]-0.0046176[/C][C]0.0671334[/C][C]-0.06878[/C][C]0.945201[/C][C]0.472601[/C][/ROW]
[ROW][C]t[/C][C]0.00253142[/C][C]0.000127675[/C][C]19.83[/C][C]1.28972e-59[/C][C]6.44858e-60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224517&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224517&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
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	5.36215	0.0534261	100.4	9.38005e-265	4.69003e-265
M1	0.18558	0.0671479	2.764	0.00600882	0.00300441
M2	0.207282	0.0671454	3.087	0.00217868	0.00108934
M3	0.148914	0.0671431	2.218	0.0271894	0.0135947
M4	0.0494318	0.067141	0.7362	0.462066	0.231033
M5	-0.0117589	0.0671392	-0.1751	0.861066	0.430533
M6	0.17346	0.0671376	2.584	0.0101708	0.0050854
M7	0.114546	0.0671363	1.706	0.0888421	0.044421
M8	0.0253402	0.0671352	0.3775	0.706062	0.353031
M9	-0.0246098	0.0671343	-0.3666	0.714152	0.357076
M10	-0.0764556	0.0671337	-1.139	0.255523	0.127761
M11	-0.0046176	0.0671334	-0.06878	0.945201	0.472601
t	0.00253142	0.000127675	19.83	1.28972e-59	6.44858e-60

Multiple Linear Regression - Regression Statistics
Multiple R	0.738904
R-squared	0.545979
Adjusted R-squared	0.530803
F-TEST (value)	35.976
F-TEST (DF numerator)	12
F-TEST (DF denominator)	359
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.264304
Sum Squared Residuals	25.0785

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.738904 \tabularnewline
R-squared & 0.545979 \tabularnewline
Adjusted R-squared & 0.530803 \tabularnewline
F-TEST (value) & 35.976 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 359 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.264304 \tabularnewline
Sum Squared Residuals & 25.0785 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224517&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.738904[/C][/ROW]
[ROW][C]R-squared[/C][C]0.545979[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.530803[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]35.976[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]359[/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]0.264304[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]25.0785[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224517&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224517&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 R	0.738904
R-squared	0.545979
Adjusted R-squared	0.530803
F-TEST (value)	35.976
F-TEST (DF numerator)	12
F-TEST (DF denominator)	359
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.264304
Sum Squared Residuals	25.0785

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	5.46001	5.55026	-0.090248
2	5.63729	5.57449	0.0627943
3	5.57822	5.51866	0.0595628
4	5.48355	5.42171	0.061846
5	5.30529	5.36305	-0.057753
6	5.48397	5.5508	-0.0668295
7	5.48521	5.49441	-0.00920165
8	5.41075	5.40774	0.00301336
9	5.32836	5.36032	-0.0319594
10	5.16307	5.31101	-0.147936
11	5.31468	5.38538	-0.0706932
12	5.3959	5.39252	0.00337278
13	5.70211	5.58064	0.121478
14	5.85048	5.60487	0.245608
15	5.82393	5.54903	0.2749
16	5.7921	5.45208	0.340016
17	5.86249	5.39342	0.469071
18	5.98293	5.58117	0.401755
19	6.08404	5.52479	0.559253
20	5.9804	5.43812	0.542287
21	5.89578	5.3907	0.505081
22	5.93701	5.34138	0.595625
23	5.87774	5.41575	0.461983
24	5.9108	5.4229	0.487895
25	6.14161	5.61101	0.530594
26	6.17191	5.63525	0.536663
27	6.0668	5.57941	0.487393
28	5.904	5.48246	0.421539
29	5.78782	5.4238	0.364017
30	5.8724	5.61155	0.260849
31	5.80393	5.55517	0.248762
32	5.56567	5.46849	0.0971756
33	5.51745	5.42108	0.0963779
34	5.32545	5.37176	-0.0463146
35	5.46214	5.44613	0.0160054
36	5.48438	5.45328	0.0311029
37	5.57935	5.64139	-0.0620378
38	5.53655	5.66562	-0.129077
39	5.44803	5.60979	-0.161758
40	5.26683	5.51284	-0.24601
41	5.17615	5.45418	-0.278027
42	5.36223	5.64193	-0.279697
43	5.33368	5.58554	-0.25186
44	5.19628	5.49887	-0.302586
45	5.23963	5.45145	-0.211824
46	5.16707	5.40214	-0.235069
47	5.2933	5.47651	-0.183202
48	5.19073	5.48366	-0.292924
49	5.41965	5.67177	-0.252118
50	5.45532	5.696	-0.240679
51	5.29932	5.64016	-0.340848
52	5.21276	5.54321	-0.330454
53	5.18291	5.48455	-0.301648
54	5.31419	5.6723	-0.358114
55	5.33994	5.61592	-0.275983
56	5.25645	5.52925	-0.272795
57	5.15213	5.48183	-0.329694
58	4.99721	5.43251	-0.435302
59	5.07142	5.50688	-0.435467
60	5.04019	5.51403	-0.473839
61	5.36223	5.70214	-0.339914
62	5.28015	5.72638	-0.446224
63	5.20839	5.67054	-0.462149
64	5.17275	5.57359	-0.400837
65	5.03435	5.51493	-0.48058
66	5.15445	5.70268	-0.548235
67	5.14166	5.6463	-0.504635
68	5.0186	5.55962	-0.541021
69	5.08698	5.51221	-0.425227
70	5.05752	5.46289	-0.405373
71	5.30678	5.53726	-0.23048
72	5.46553	5.54441	-0.078885
73	5.87521	5.73252	0.14269
74	5.98721	5.75675	0.230451
75	6.00067	5.70092	0.299753
76	5.9522	5.60397	0.348236
77	5.90209	5.54531	0.356778
78	5.90835	5.73306	0.175296
79	5.90781	5.67668	0.231135
80	5.84932	5.59	0.259323
81	5.8386	5.54258	0.296021
82	5.67983	5.49327	0.186562
83	5.7414	5.56764	0.173761
84	5.70678	5.57479	0.131991
85	5.90509	5.7629	0.142191
86	5.87746	5.78713	0.0903239
87	5.79818	5.7313	0.0668872
88	5.75637	5.63434	0.12203
89	5.59471	5.57569	0.0190259
90	5.66746	5.76344	-0.0959715
91	5.58425	5.70705	-0.122805
92	5.53576	5.62038	-0.0846207
93	5.45447	5.57296	-0.118494
94	5.4311	5.52365	-0.0925475
95	5.53576	5.59802	-0.0622572
96	5.56107	5.60516	-0.0440982
97	5.72554	5.79328	-0.0677316
98	5.73399	5.81751	-0.0835205
99	5.73496	5.76167	-0.0267149
100	5.60212	5.66472	-0.0626031
101	5.63443	5.60606	0.0283698
102	5.76174	5.79381	-0.0320759
103	5.69843	5.73743	-0.0389951
104	5.50817	5.65076	-0.142583
105	5.42627	5.60334	-0.177067
106	5.34281	5.55402	-0.21121
107	5.5603	5.62839	-0.0680955
108	5.5835	5.63554	-0.0520452
109	5.77019	5.82365	-0.0534584
110	5.73172	5.84789	-0.116164
111	5.64262	5.79205	-0.149434
112	5.57101	5.6951	-0.124086
113	5.57405	5.63644	-0.0623863
114	5.74652	5.82419	-0.0776672
115	5.65003	5.76781	-0.117777
116	5.53181	5.68113	-0.149326
117	5.52266	5.63371	-0.111054
118	5.50736	5.5844	-0.0770381
119	5.74524	5.65877	0.0864748
120	5.80874	5.66592	0.142824
121	6.10122	5.85403	0.247186
122	6.23754	5.87826	0.35928
123	6.24514	5.82243	0.42271
124	6.22733	5.72548	0.501851
125	6.18043	5.66682	0.513614
126	6.25824	5.85457	0.403675
127	6.23402	5.79818	0.435834
128	6.13275	5.71151	0.421237
129	6.00586	5.66409	0.341769
130	5.92693	5.61478	0.312149
131	5.93622	5.68915	0.247069
132	6.00832	5.6963	0.312026
133	6.14804	5.88441	0.263634
134	6.15231	5.90864	0.243667
135	6.06332	5.8528	0.210516
136	5.87437	5.75585	0.118516
137	5.80724	5.69719	0.110047
138	5.93489	5.88494	0.0499502
139	5.88749	5.82856	0.0589308
140	5.81323	5.74189	0.0713474
141	5.76676	5.69447	0.0722886
142	5.77796	5.64515	0.132808
143	5.89605	5.71952	0.176531
144	5.86392	5.72667	0.137243
145	6.02078	5.91478	0.105997
146	5.96255	5.93902	0.0235335
147	6.03165	5.88318	0.148465
148	5.88805	5.78623	0.101816
149	5.82305	5.72757	0.095475
150	6.03357	5.91532	0.118245
151	5.96204	5.85894	0.103097
152	5.91647	5.77226	0.144207
153	5.80363	5.72485	0.0787821
154	5.86845	5.67553	0.192918
155	5.98318	5.7499	0.23328
156	6.10256	5.75705	0.345509
157	6.27946	5.94516	0.334298
158	6.33753	5.96939	0.368139
159	6.29582	5.91356	0.382261
160	6.19175	5.81661	0.375142
161	6.14654	5.75795	0.388595
162	6.27533	5.9457	0.329629
163	6.20678	5.88932	0.317462
164	6.09582	5.80264	0.293183
165	5.99993	5.75522	0.244706
166	5.95661	5.70591	0.250706
167	5.9766	5.78028	0.196327
168	6.00166	5.78743	0.214236
169	6.13578	5.97554	0.160243
170	6.10502	5.99977	0.105245
171	6.06912	5.94394	0.125184
172	5.95661	5.84698	0.10963
173	5.97939	5.78832	0.191067
174	6.04477	5.97608	0.0686931
175	5.94777	5.91969	0.0280814
176	5.95116	5.83302	0.118145
177	5.84499	5.7856	0.0593928
178	5.77889	5.73629	0.0426045
179	5.92051	5.81065	0.109851
180	5.92959	5.8178	0.111785
181	6.13708	6.00592	0.131164
182	6.18826	6.03015	0.158116
183	6.09627	5.97431	0.121962
184	5.98971	5.87736	0.112352
185	5.97863	5.8187	0.159931
186	6.12118	6.00645	0.114724
187	6.02587	5.95007	0.0757965
188	5.92826	5.8634	0.064863
189	5.84932	5.81598	0.0333478
190	5.82718	5.76666	0.0605168
191	5.95532	5.84103	0.114287
192	5.93701	5.84818	0.0888274
193	6.11324	6.03629	0.0769475
194	6.10054	6.06053	0.0400178
195	6.04619	6.00469	0.0414999
196	5.9483	5.90774	0.0405576
197	5.8659	5.84908	0.0168222
198	6.09875	6.03683	0.0619189
199	5.90672	5.98045	-0.0737232
200	5.8724	5.89377	-0.0213731
201	5.78751	5.84635	-0.0588433
202	5.7677	5.79704	-0.0293438
203	5.80453	5.87141	-0.0668766
204	5.83159	5.87856	-0.0469688
205	5.9766	6.06667	-0.0900645
206	6.03357	6.0909	-0.0573367
207	5.91323	6.03507	-0.121834
208	5.85564	5.93812	-0.0824707
209	5.77269	5.87946	-0.10677
210	6.00561	6.06721	-0.0615924
211	5.83744	6.01082	-0.173385
212	5.75732	5.92415	-0.166826
213	5.64968	5.87673	-0.227053
214	5.60175	5.82742	-0.225667
215	5.66573	5.90179	-0.236052
216	5.63049	5.90894	-0.27844
217	5.78198	6.09705	-0.315069
218	5.73947	6.12128	-0.381808
219	5.70044	6.06544	-0.365
220	5.60947	5.96849	-0.359021
221	5.63229	5.90983	-0.277547
222	5.88388	6.09758	-0.213704
223	5.72031	6.0412	-0.320889
224	5.64226	5.95453	-0.312265
225	5.52266	5.90711	-0.384448
226	5.50736	5.85779	-0.350432
227	5.55257	5.93216	-0.379591
228	5.58537	5.93931	-0.353938
229	5.75543	6.12742	-0.371998
230	5.76331	6.15166	-0.388348
231	5.68833	6.09582	-0.40749
232	5.585	5.99887	-0.413871
233	5.50452	5.94021	-0.435692
234	5.89385	6.12796	-0.234109
235	5.78352	6.07158	-0.28806
236	5.68426	5.9849	-0.300644
237	5.66816	5.93749	-0.26933
238	5.68765	5.88817	-0.200518
239	5.67091	5.96254	-0.291625
240	5.6058	5.96969	-0.363887
241	5.72815	6.1578	-0.429651
242	5.79515	6.18203	-0.386888
243	5.67983	6.1262	-0.446367
244	5.51785	6.02925	-0.511392
245	5.43982	5.97059	-0.53077
246	5.89026	6.15834	-0.268076
247	5.77362	6.10195	-0.328335
248	5.62474	6.01528	-0.390542
249	5.56337	5.96786	-0.404492
250	5.52545	5.91855	-0.393095
251	5.55141	5.99292	-0.441509
252	5.48811	6.00007	-0.511955
253	5.66122	6.18818	-0.526955
254	5.67778	6.21241	-0.53463
255	5.61568	6.15657	-0.540895
256	5.53812	6.05962	-0.521502
257	5.43808	6.00096	-0.562885
258	5.826	6.18871	-0.362715
259	5.76268	6.13233	-0.369652
260	5.65948	6.04566	-0.386176
261	5.68968	5.99824	-0.308556
262	5.64897	5.94892	-0.299951
263	5.60212	6.02329	-0.421176
264	5.57101	6.03044	-0.459431
265	5.83071	6.21855	-0.387846
266	5.93859	6.24279	-0.304197
267	5.92238	6.18695	-0.26457
268	5.87268	6.09	-0.21732
269	5.82423	6.03134	-0.207113
270	6.14612	6.21909	-0.0729766
271	6.11147	6.16271	-0.0512416
272	6.04501	6.07603	-0.0310297
273	6.06192	6.02862	0.0333066
274	6.0542	5.9793	0.0749026
275	6.13275	6.05367	0.0790756
276	6.13902	6.06082	0.0782017
277	6.29416	6.24893	0.0452268
278	6.29932	6.27316	0.026152
279	6.24901	6.21733	0.0316805
280	6.15146	6.12038	0.0310774
281	6.08541	6.06172	0.0236915
282	6.3081	6.24947	0.0586296
283	6.27852	6.19309	0.0854354
284	6.22673	6.10641	0.120322
285	6.18208	6.05899	0.123091
286	6.12468	6.00968	0.115004
287	6.17691	6.08405	0.0928577
288	6.15167	6.0912	0.0604708
289	6.30024	6.27931	0.0209265
290	6.29379	6.30354	-0.009753
291	6.25671	6.24771	0.00900317
292	6.15209	6.15075	0.0013392
293	6.07397	6.0921	-0.0181299
294	6.29637	6.27985	0.0165265
295	6.24862	6.22346	0.0251599
296	6.18559	6.13679	0.048802
297	6.14376	6.08937	0.0543858
298	6.10256	6.04006	0.0625025
299	6.05585	6.11443	-0.0585788
300	6.02005	6.12157	-0.101523
301	6.1474	6.30969	-0.162286
302	6.18312	6.33392	-0.150802
303	6.11191	6.27808	-0.166172
304	6.03404	6.18113	-0.147087
305	5.93991	6.12247	-0.182565
306	6.18353	6.31022	-0.126693
307	6.1203	6.25384	-0.133543
308	6.04216	6.16717	-0.125009
309	6.03189	6.11975	-0.0878612
310	5.93039	6.07043	-0.140047
311	6.00537	6.1448	-0.139435
312	6.00586	6.15195	-0.146091
313	6.21621	6.34006	-0.123856
314	6.24222	6.3643	-0.122073
315	6.16437	6.30846	-0.144093
316	6.06402	6.21151	-0.147491
317	6.02683	6.15285	-0.126018
318	6.28786	6.3406	-0.0527415
319	6.2653	6.28422	-0.018916
320	6.19134	6.19754	-0.00620378
321	6.25421	6.15012	0.104089
322	6.22337	6.10081	0.122559
323	6.343	6.17518	0.167822
324	6.41444	6.18233	0.232113
325	6.70686	6.37044	0.336422
326	6.72251	6.39467	0.327836
327	6.72851	6.33884	0.389672
328	6.66185	6.24189	0.419969
329	6.63634	6.18323	0.453113
330	6.75332	6.37098	0.382344
331	6.7104	6.31459	0.395807
332	6.64587	6.22792	0.417951
333	6.623	6.1805	0.4425
334	6.58534	6.13119	0.454156
335	6.58355	6.20556	0.377991
336	6.57856	6.21271	0.365851
337	6.70613	6.40082	0.305312
338	6.68873	6.42505	0.263678
339	6.6234	6.36921	0.254187
340	6.53524	6.27226	0.262978
341	6.44635	6.2136	0.232751
342	6.64053	6.40135	0.239175
343	6.63029	6.34497	0.285316
344	6.59605	6.2583	0.337756
345	6.55479	6.21088	0.343909
346	6.52693	6.16156	0.36537
347	6.56456	6.23593	0.328627
348	6.55422	6.24308	0.311135
349	6.66543	6.43119	0.234235
350	6.69814	6.45543	0.242718
351	6.62751	6.39959	0.227921
352	6.48738	6.30264	0.184739
353	6.42178	6.24398	0.177804
354	6.61379	6.43173	0.182056
355	6.54262	6.37535	0.167268
356	6.51575	6.28867	0.227075
357	6.46723	6.24126	0.225977
358	6.4331	6.19194	0.241159
359	6.45299	6.26631	0.186684
360	6.37673	6.27346	0.103267
361	6.53626	6.46157	0.0746857
362	6.51308	6.4858	0.0272774
363	6.47374	6.42997	0.0437678
364	6.34353	6.33302	0.0105115
365	6.30207	6.27436	0.0277113
366	6.44984	6.46211	-0.01227
367	6.46739	6.40573	0.0616626
368	6.38536	6.31905	0.0663115
369	6.36251	6.27163	0.0908777
370	6.30262	6.22232	0.0803004
371	6.3331	6.29669	0.036414
372	6.35001	6.30384	0.0461757

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 5.46001 & 5.55026 & -0.090248 \tabularnewline
2 & 5.63729 & 5.57449 & 0.0627943 \tabularnewline
3 & 5.57822 & 5.51866 & 0.0595628 \tabularnewline
4 & 5.48355 & 5.42171 & 0.061846 \tabularnewline
5 & 5.30529 & 5.36305 & -0.057753 \tabularnewline
6 & 5.48397 & 5.5508 & -0.0668295 \tabularnewline
7 & 5.48521 & 5.49441 & -0.00920165 \tabularnewline
8 & 5.41075 & 5.40774 & 0.00301336 \tabularnewline
9 & 5.32836 & 5.36032 & -0.0319594 \tabularnewline
10 & 5.16307 & 5.31101 & -0.147936 \tabularnewline
11 & 5.31468 & 5.38538 & -0.0706932 \tabularnewline
12 & 5.3959 & 5.39252 & 0.00337278 \tabularnewline
13 & 5.70211 & 5.58064 & 0.121478 \tabularnewline
14 & 5.85048 & 5.60487 & 0.245608 \tabularnewline
15 & 5.82393 & 5.54903 & 0.2749 \tabularnewline
16 & 5.7921 & 5.45208 & 0.340016 \tabularnewline
17 & 5.86249 & 5.39342 & 0.469071 \tabularnewline
18 & 5.98293 & 5.58117 & 0.401755 \tabularnewline
19 & 6.08404 & 5.52479 & 0.559253 \tabularnewline
20 & 5.9804 & 5.43812 & 0.542287 \tabularnewline
21 & 5.89578 & 5.3907 & 0.505081 \tabularnewline
22 & 5.93701 & 5.34138 & 0.595625 \tabularnewline
23 & 5.87774 & 5.41575 & 0.461983 \tabularnewline
24 & 5.9108 & 5.4229 & 0.487895 \tabularnewline
25 & 6.14161 & 5.61101 & 0.530594 \tabularnewline
26 & 6.17191 & 5.63525 & 0.536663 \tabularnewline
27 & 6.0668 & 5.57941 & 0.487393 \tabularnewline
28 & 5.904 & 5.48246 & 0.421539 \tabularnewline
29 & 5.78782 & 5.4238 & 0.364017 \tabularnewline
30 & 5.8724 & 5.61155 & 0.260849 \tabularnewline
31 & 5.80393 & 5.55517 & 0.248762 \tabularnewline
32 & 5.56567 & 5.46849 & 0.0971756 \tabularnewline
33 & 5.51745 & 5.42108 & 0.0963779 \tabularnewline
34 & 5.32545 & 5.37176 & -0.0463146 \tabularnewline
35 & 5.46214 & 5.44613 & 0.0160054 \tabularnewline
36 & 5.48438 & 5.45328 & 0.0311029 \tabularnewline
37 & 5.57935 & 5.64139 & -0.0620378 \tabularnewline
38 & 5.53655 & 5.66562 & -0.129077 \tabularnewline
39 & 5.44803 & 5.60979 & -0.161758 \tabularnewline
40 & 5.26683 & 5.51284 & -0.24601 \tabularnewline
41 & 5.17615 & 5.45418 & -0.278027 \tabularnewline
42 & 5.36223 & 5.64193 & -0.279697 \tabularnewline
43 & 5.33368 & 5.58554 & -0.25186 \tabularnewline
44 & 5.19628 & 5.49887 & -0.302586 \tabularnewline
45 & 5.23963 & 5.45145 & -0.211824 \tabularnewline
46 & 5.16707 & 5.40214 & -0.235069 \tabularnewline
47 & 5.2933 & 5.47651 & -0.183202 \tabularnewline
48 & 5.19073 & 5.48366 & -0.292924 \tabularnewline
49 & 5.41965 & 5.67177 & -0.252118 \tabularnewline
50 & 5.45532 & 5.696 & -0.240679 \tabularnewline
51 & 5.29932 & 5.64016 & -0.340848 \tabularnewline
52 & 5.21276 & 5.54321 & -0.330454 \tabularnewline
53 & 5.18291 & 5.48455 & -0.301648 \tabularnewline
54 & 5.31419 & 5.6723 & -0.358114 \tabularnewline
55 & 5.33994 & 5.61592 & -0.275983 \tabularnewline
56 & 5.25645 & 5.52925 & -0.272795 \tabularnewline
57 & 5.15213 & 5.48183 & -0.329694 \tabularnewline
58 & 4.99721 & 5.43251 & -0.435302 \tabularnewline
59 & 5.07142 & 5.50688 & -0.435467 \tabularnewline
60 & 5.04019 & 5.51403 & -0.473839 \tabularnewline
61 & 5.36223 & 5.70214 & -0.339914 \tabularnewline
62 & 5.28015 & 5.72638 & -0.446224 \tabularnewline
63 & 5.20839 & 5.67054 & -0.462149 \tabularnewline
64 & 5.17275 & 5.57359 & -0.400837 \tabularnewline
65 & 5.03435 & 5.51493 & -0.48058 \tabularnewline
66 & 5.15445 & 5.70268 & -0.548235 \tabularnewline
67 & 5.14166 & 5.6463 & -0.504635 \tabularnewline
68 & 5.0186 & 5.55962 & -0.541021 \tabularnewline
69 & 5.08698 & 5.51221 & -0.425227 \tabularnewline
70 & 5.05752 & 5.46289 & -0.405373 \tabularnewline
71 & 5.30678 & 5.53726 & -0.23048 \tabularnewline
72 & 5.46553 & 5.54441 & -0.078885 \tabularnewline
73 & 5.87521 & 5.73252 & 0.14269 \tabularnewline
74 & 5.98721 & 5.75675 & 0.230451 \tabularnewline
75 & 6.00067 & 5.70092 & 0.299753 \tabularnewline
76 & 5.9522 & 5.60397 & 0.348236 \tabularnewline
77 & 5.90209 & 5.54531 & 0.356778 \tabularnewline
78 & 5.90835 & 5.73306 & 0.175296 \tabularnewline
79 & 5.90781 & 5.67668 & 0.231135 \tabularnewline
80 & 5.84932 & 5.59 & 0.259323 \tabularnewline
81 & 5.8386 & 5.54258 & 0.296021 \tabularnewline
82 & 5.67983 & 5.49327 & 0.186562 \tabularnewline
83 & 5.7414 & 5.56764 & 0.173761 \tabularnewline
84 & 5.70678 & 5.57479 & 0.131991 \tabularnewline
85 & 5.90509 & 5.7629 & 0.142191 \tabularnewline
86 & 5.87746 & 5.78713 & 0.0903239 \tabularnewline
87 & 5.79818 & 5.7313 & 0.0668872 \tabularnewline
88 & 5.75637 & 5.63434 & 0.12203 \tabularnewline
89 & 5.59471 & 5.57569 & 0.0190259 \tabularnewline
90 & 5.66746 & 5.76344 & -0.0959715 \tabularnewline
91 & 5.58425 & 5.70705 & -0.122805 \tabularnewline
92 & 5.53576 & 5.62038 & -0.0846207 \tabularnewline
93 & 5.45447 & 5.57296 & -0.118494 \tabularnewline
94 & 5.4311 & 5.52365 & -0.0925475 \tabularnewline
95 & 5.53576 & 5.59802 & -0.0622572 \tabularnewline
96 & 5.56107 & 5.60516 & -0.0440982 \tabularnewline
97 & 5.72554 & 5.79328 & -0.0677316 \tabularnewline
98 & 5.73399 & 5.81751 & -0.0835205 \tabularnewline
99 & 5.73496 & 5.76167 & -0.0267149 \tabularnewline
100 & 5.60212 & 5.66472 & -0.0626031 \tabularnewline
101 & 5.63443 & 5.60606 & 0.0283698 \tabularnewline
102 & 5.76174 & 5.79381 & -0.0320759 \tabularnewline
103 & 5.69843 & 5.73743 & -0.0389951 \tabularnewline
104 & 5.50817 & 5.65076 & -0.142583 \tabularnewline
105 & 5.42627 & 5.60334 & -0.177067 \tabularnewline
106 & 5.34281 & 5.55402 & -0.21121 \tabularnewline
107 & 5.5603 & 5.62839 & -0.0680955 \tabularnewline
108 & 5.5835 & 5.63554 & -0.0520452 \tabularnewline
109 & 5.77019 & 5.82365 & -0.0534584 \tabularnewline
110 & 5.73172 & 5.84789 & -0.116164 \tabularnewline
111 & 5.64262 & 5.79205 & -0.149434 \tabularnewline
112 & 5.57101 & 5.6951 & -0.124086 \tabularnewline
113 & 5.57405 & 5.63644 & -0.0623863 \tabularnewline
114 & 5.74652 & 5.82419 & -0.0776672 \tabularnewline
115 & 5.65003 & 5.76781 & -0.117777 \tabularnewline
116 & 5.53181 & 5.68113 & -0.149326 \tabularnewline
117 & 5.52266 & 5.63371 & -0.111054 \tabularnewline
118 & 5.50736 & 5.5844 & -0.0770381 \tabularnewline
119 & 5.74524 & 5.65877 & 0.0864748 \tabularnewline
120 & 5.80874 & 5.66592 & 0.142824 \tabularnewline
121 & 6.10122 & 5.85403 & 0.247186 \tabularnewline
122 & 6.23754 & 5.87826 & 0.35928 \tabularnewline
123 & 6.24514 & 5.82243 & 0.42271 \tabularnewline
124 & 6.22733 & 5.72548 & 0.501851 \tabularnewline
125 & 6.18043 & 5.66682 & 0.513614 \tabularnewline
126 & 6.25824 & 5.85457 & 0.403675 \tabularnewline
127 & 6.23402 & 5.79818 & 0.435834 \tabularnewline
128 & 6.13275 & 5.71151 & 0.421237 \tabularnewline
129 & 6.00586 & 5.66409 & 0.341769 \tabularnewline
130 & 5.92693 & 5.61478 & 0.312149 \tabularnewline
131 & 5.93622 & 5.68915 & 0.247069 \tabularnewline
132 & 6.00832 & 5.6963 & 0.312026 \tabularnewline
133 & 6.14804 & 5.88441 & 0.263634 \tabularnewline
134 & 6.15231 & 5.90864 & 0.243667 \tabularnewline
135 & 6.06332 & 5.8528 & 0.210516 \tabularnewline
136 & 5.87437 & 5.75585 & 0.118516 \tabularnewline
137 & 5.80724 & 5.69719 & 0.110047 \tabularnewline
138 & 5.93489 & 5.88494 & 0.0499502 \tabularnewline
139 & 5.88749 & 5.82856 & 0.0589308 \tabularnewline
140 & 5.81323 & 5.74189 & 0.0713474 \tabularnewline
141 & 5.76676 & 5.69447 & 0.0722886 \tabularnewline
142 & 5.77796 & 5.64515 & 0.132808 \tabularnewline
143 & 5.89605 & 5.71952 & 0.176531 \tabularnewline
144 & 5.86392 & 5.72667 & 0.137243 \tabularnewline
145 & 6.02078 & 5.91478 & 0.105997 \tabularnewline
146 & 5.96255 & 5.93902 & 0.0235335 \tabularnewline
147 & 6.03165 & 5.88318 & 0.148465 \tabularnewline
148 & 5.88805 & 5.78623 & 0.101816 \tabularnewline
149 & 5.82305 & 5.72757 & 0.095475 \tabularnewline
150 & 6.03357 & 5.91532 & 0.118245 \tabularnewline
151 & 5.96204 & 5.85894 & 0.103097 \tabularnewline
152 & 5.91647 & 5.77226 & 0.144207 \tabularnewline
153 & 5.80363 & 5.72485 & 0.0787821 \tabularnewline
154 & 5.86845 & 5.67553 & 0.192918 \tabularnewline
155 & 5.98318 & 5.7499 & 0.23328 \tabularnewline
156 & 6.10256 & 5.75705 & 0.345509 \tabularnewline
157 & 6.27946 & 5.94516 & 0.334298 \tabularnewline
158 & 6.33753 & 5.96939 & 0.368139 \tabularnewline
159 & 6.29582 & 5.91356 & 0.382261 \tabularnewline
160 & 6.19175 & 5.81661 & 0.375142 \tabularnewline
161 & 6.14654 & 5.75795 & 0.388595 \tabularnewline
162 & 6.27533 & 5.9457 & 0.329629 \tabularnewline
163 & 6.20678 & 5.88932 & 0.317462 \tabularnewline
164 & 6.09582 & 5.80264 & 0.293183 \tabularnewline
165 & 5.99993 & 5.75522 & 0.244706 \tabularnewline
166 & 5.95661 & 5.70591 & 0.250706 \tabularnewline
167 & 5.9766 & 5.78028 & 0.196327 \tabularnewline
168 & 6.00166 & 5.78743 & 0.214236 \tabularnewline
169 & 6.13578 & 5.97554 & 0.160243 \tabularnewline
170 & 6.10502 & 5.99977 & 0.105245 \tabularnewline
171 & 6.06912 & 5.94394 & 0.125184 \tabularnewline
172 & 5.95661 & 5.84698 & 0.10963 \tabularnewline
173 & 5.97939 & 5.78832 & 0.191067 \tabularnewline
174 & 6.04477 & 5.97608 & 0.0686931 \tabularnewline
175 & 5.94777 & 5.91969 & 0.0280814 \tabularnewline
176 & 5.95116 & 5.83302 & 0.118145 \tabularnewline
177 & 5.84499 & 5.7856 & 0.0593928 \tabularnewline
178 & 5.77889 & 5.73629 & 0.0426045 \tabularnewline
179 & 5.92051 & 5.81065 & 0.109851 \tabularnewline
180 & 5.92959 & 5.8178 & 0.111785 \tabularnewline
181 & 6.13708 & 6.00592 & 0.131164 \tabularnewline
182 & 6.18826 & 6.03015 & 0.158116 \tabularnewline
183 & 6.09627 & 5.97431 & 0.121962 \tabularnewline
184 & 5.98971 & 5.87736 & 0.112352 \tabularnewline
185 & 5.97863 & 5.8187 & 0.159931 \tabularnewline
186 & 6.12118 & 6.00645 & 0.114724 \tabularnewline
187 & 6.02587 & 5.95007 & 0.0757965 \tabularnewline
188 & 5.92826 & 5.8634 & 0.064863 \tabularnewline
189 & 5.84932 & 5.81598 & 0.0333478 \tabularnewline
190 & 5.82718 & 5.76666 & 0.0605168 \tabularnewline
191 & 5.95532 & 5.84103 & 0.114287 \tabularnewline
192 & 5.93701 & 5.84818 & 0.0888274 \tabularnewline
193 & 6.11324 & 6.03629 & 0.0769475 \tabularnewline
194 & 6.10054 & 6.06053 & 0.0400178 \tabularnewline
195 & 6.04619 & 6.00469 & 0.0414999 \tabularnewline
196 & 5.9483 & 5.90774 & 0.0405576 \tabularnewline
197 & 5.8659 & 5.84908 & 0.0168222 \tabularnewline
198 & 6.09875 & 6.03683 & 0.0619189 \tabularnewline
199 & 5.90672 & 5.98045 & -0.0737232 \tabularnewline
200 & 5.8724 & 5.89377 & -0.0213731 \tabularnewline
201 & 5.78751 & 5.84635 & -0.0588433 \tabularnewline
202 & 5.7677 & 5.79704 & -0.0293438 \tabularnewline
203 & 5.80453 & 5.87141 & -0.0668766 \tabularnewline
204 & 5.83159 & 5.87856 & -0.0469688 \tabularnewline
205 & 5.9766 & 6.06667 & -0.0900645 \tabularnewline
206 & 6.03357 & 6.0909 & -0.0573367 \tabularnewline
207 & 5.91323 & 6.03507 & -0.121834 \tabularnewline
208 & 5.85564 & 5.93812 & -0.0824707 \tabularnewline
209 & 5.77269 & 5.87946 & -0.10677 \tabularnewline
210 & 6.00561 & 6.06721 & -0.0615924 \tabularnewline
211 & 5.83744 & 6.01082 & -0.173385 \tabularnewline
212 & 5.75732 & 5.92415 & -0.166826 \tabularnewline
213 & 5.64968 & 5.87673 & -0.227053 \tabularnewline
214 & 5.60175 & 5.82742 & -0.225667 \tabularnewline
215 & 5.66573 & 5.90179 & -0.236052 \tabularnewline
216 & 5.63049 & 5.90894 & -0.27844 \tabularnewline
217 & 5.78198 & 6.09705 & -0.315069 \tabularnewline
218 & 5.73947 & 6.12128 & -0.381808 \tabularnewline
219 & 5.70044 & 6.06544 & -0.365 \tabularnewline
220 & 5.60947 & 5.96849 & -0.359021 \tabularnewline
221 & 5.63229 & 5.90983 & -0.277547 \tabularnewline
222 & 5.88388 & 6.09758 & -0.213704 \tabularnewline
223 & 5.72031 & 6.0412 & -0.320889 \tabularnewline
224 & 5.64226 & 5.95453 & -0.312265 \tabularnewline
225 & 5.52266 & 5.90711 & -0.384448 \tabularnewline
226 & 5.50736 & 5.85779 & -0.350432 \tabularnewline
227 & 5.55257 & 5.93216 & -0.379591 \tabularnewline
228 & 5.58537 & 5.93931 & -0.353938 \tabularnewline
229 & 5.75543 & 6.12742 & -0.371998 \tabularnewline
230 & 5.76331 & 6.15166 & -0.388348 \tabularnewline
231 & 5.68833 & 6.09582 & -0.40749 \tabularnewline
232 & 5.585 & 5.99887 & -0.413871 \tabularnewline
233 & 5.50452 & 5.94021 & -0.435692 \tabularnewline
234 & 5.89385 & 6.12796 & -0.234109 \tabularnewline
235 & 5.78352 & 6.07158 & -0.28806 \tabularnewline
236 & 5.68426 & 5.9849 & -0.300644 \tabularnewline
237 & 5.66816 & 5.93749 & -0.26933 \tabularnewline
238 & 5.68765 & 5.88817 & -0.200518 \tabularnewline
239 & 5.67091 & 5.96254 & -0.291625 \tabularnewline
240 & 5.6058 & 5.96969 & -0.363887 \tabularnewline
241 & 5.72815 & 6.1578 & -0.429651 \tabularnewline
242 & 5.79515 & 6.18203 & -0.386888 \tabularnewline
243 & 5.67983 & 6.1262 & -0.446367 \tabularnewline
244 & 5.51785 & 6.02925 & -0.511392 \tabularnewline
245 & 5.43982 & 5.97059 & -0.53077 \tabularnewline
246 & 5.89026 & 6.15834 & -0.268076 \tabularnewline
247 & 5.77362 & 6.10195 & -0.328335 \tabularnewline
248 & 5.62474 & 6.01528 & -0.390542 \tabularnewline
249 & 5.56337 & 5.96786 & -0.404492 \tabularnewline
250 & 5.52545 & 5.91855 & -0.393095 \tabularnewline
251 & 5.55141 & 5.99292 & -0.441509 \tabularnewline
252 & 5.48811 & 6.00007 & -0.511955 \tabularnewline
253 & 5.66122 & 6.18818 & -0.526955 \tabularnewline
254 & 5.67778 & 6.21241 & -0.53463 \tabularnewline
255 & 5.61568 & 6.15657 & -0.540895 \tabularnewline
256 & 5.53812 & 6.05962 & -0.521502 \tabularnewline
257 & 5.43808 & 6.00096 & -0.562885 \tabularnewline
258 & 5.826 & 6.18871 & -0.362715 \tabularnewline
259 & 5.76268 & 6.13233 & -0.369652 \tabularnewline
260 & 5.65948 & 6.04566 & -0.386176 \tabularnewline
261 & 5.68968 & 5.99824 & -0.308556 \tabularnewline
262 & 5.64897 & 5.94892 & -0.299951 \tabularnewline
263 & 5.60212 & 6.02329 & -0.421176 \tabularnewline
264 & 5.57101 & 6.03044 & -0.459431 \tabularnewline
265 & 5.83071 & 6.21855 & -0.387846 \tabularnewline
266 & 5.93859 & 6.24279 & -0.304197 \tabularnewline
267 & 5.92238 & 6.18695 & -0.26457 \tabularnewline
268 & 5.87268 & 6.09 & -0.21732 \tabularnewline
269 & 5.82423 & 6.03134 & -0.207113 \tabularnewline
270 & 6.14612 & 6.21909 & -0.0729766 \tabularnewline
271 & 6.11147 & 6.16271 & -0.0512416 \tabularnewline
272 & 6.04501 & 6.07603 & -0.0310297 \tabularnewline
273 & 6.06192 & 6.02862 & 0.0333066 \tabularnewline
274 & 6.0542 & 5.9793 & 0.0749026 \tabularnewline
275 & 6.13275 & 6.05367 & 0.0790756 \tabularnewline
276 & 6.13902 & 6.06082 & 0.0782017 \tabularnewline
277 & 6.29416 & 6.24893 & 0.0452268 \tabularnewline
278 & 6.29932 & 6.27316 & 0.026152 \tabularnewline
279 & 6.24901 & 6.21733 & 0.0316805 \tabularnewline
280 & 6.15146 & 6.12038 & 0.0310774 \tabularnewline
281 & 6.08541 & 6.06172 & 0.0236915 \tabularnewline
282 & 6.3081 & 6.24947 & 0.0586296 \tabularnewline
283 & 6.27852 & 6.19309 & 0.0854354 \tabularnewline
284 & 6.22673 & 6.10641 & 0.120322 \tabularnewline
285 & 6.18208 & 6.05899 & 0.123091 \tabularnewline
286 & 6.12468 & 6.00968 & 0.115004 \tabularnewline
287 & 6.17691 & 6.08405 & 0.0928577 \tabularnewline
288 & 6.15167 & 6.0912 & 0.0604708 \tabularnewline
289 & 6.30024 & 6.27931 & 0.0209265 \tabularnewline
290 & 6.29379 & 6.30354 & -0.009753 \tabularnewline
291 & 6.25671 & 6.24771 & 0.00900317 \tabularnewline
292 & 6.15209 & 6.15075 & 0.0013392 \tabularnewline
293 & 6.07397 & 6.0921 & -0.0181299 \tabularnewline
294 & 6.29637 & 6.27985 & 0.0165265 \tabularnewline
295 & 6.24862 & 6.22346 & 0.0251599 \tabularnewline
296 & 6.18559 & 6.13679 & 0.048802 \tabularnewline
297 & 6.14376 & 6.08937 & 0.0543858 \tabularnewline
298 & 6.10256 & 6.04006 & 0.0625025 \tabularnewline
299 & 6.05585 & 6.11443 & -0.0585788 \tabularnewline
300 & 6.02005 & 6.12157 & -0.101523 \tabularnewline
301 & 6.1474 & 6.30969 & -0.162286 \tabularnewline
302 & 6.18312 & 6.33392 & -0.150802 \tabularnewline
303 & 6.11191 & 6.27808 & -0.166172 \tabularnewline
304 & 6.03404 & 6.18113 & -0.147087 \tabularnewline
305 & 5.93991 & 6.12247 & -0.182565 \tabularnewline
306 & 6.18353 & 6.31022 & -0.126693 \tabularnewline
307 & 6.1203 & 6.25384 & -0.133543 \tabularnewline
308 & 6.04216 & 6.16717 & -0.125009 \tabularnewline
309 & 6.03189 & 6.11975 & -0.0878612 \tabularnewline
310 & 5.93039 & 6.07043 & -0.140047 \tabularnewline
311 & 6.00537 & 6.1448 & -0.139435 \tabularnewline
312 & 6.00586 & 6.15195 & -0.146091 \tabularnewline
313 & 6.21621 & 6.34006 & -0.123856 \tabularnewline
314 & 6.24222 & 6.3643 & -0.122073 \tabularnewline
315 & 6.16437 & 6.30846 & -0.144093 \tabularnewline
316 & 6.06402 & 6.21151 & -0.147491 \tabularnewline
317 & 6.02683 & 6.15285 & -0.126018 \tabularnewline
318 & 6.28786 & 6.3406 & -0.0527415 \tabularnewline
319 & 6.2653 & 6.28422 & -0.018916 \tabularnewline
320 & 6.19134 & 6.19754 & -0.00620378 \tabularnewline
321 & 6.25421 & 6.15012 & 0.104089 \tabularnewline
322 & 6.22337 & 6.10081 & 0.122559 \tabularnewline
323 & 6.343 & 6.17518 & 0.167822 \tabularnewline
324 & 6.41444 & 6.18233 & 0.232113 \tabularnewline
325 & 6.70686 & 6.37044 & 0.336422 \tabularnewline
326 & 6.72251 & 6.39467 & 0.327836 \tabularnewline
327 & 6.72851 & 6.33884 & 0.389672 \tabularnewline
328 & 6.66185 & 6.24189 & 0.419969 \tabularnewline
329 & 6.63634 & 6.18323 & 0.453113 \tabularnewline
330 & 6.75332 & 6.37098 & 0.382344 \tabularnewline
331 & 6.7104 & 6.31459 & 0.395807 \tabularnewline
332 & 6.64587 & 6.22792 & 0.417951 \tabularnewline
333 & 6.623 & 6.1805 & 0.4425 \tabularnewline
334 & 6.58534 & 6.13119 & 0.454156 \tabularnewline
335 & 6.58355 & 6.20556 & 0.377991 \tabularnewline
336 & 6.57856 & 6.21271 & 0.365851 \tabularnewline
337 & 6.70613 & 6.40082 & 0.305312 \tabularnewline
338 & 6.68873 & 6.42505 & 0.263678 \tabularnewline
339 & 6.6234 & 6.36921 & 0.254187 \tabularnewline
340 & 6.53524 & 6.27226 & 0.262978 \tabularnewline
341 & 6.44635 & 6.2136 & 0.232751 \tabularnewline
342 & 6.64053 & 6.40135 & 0.239175 \tabularnewline
343 & 6.63029 & 6.34497 & 0.285316 \tabularnewline
344 & 6.59605 & 6.2583 & 0.337756 \tabularnewline
345 & 6.55479 & 6.21088 & 0.343909 \tabularnewline
346 & 6.52693 & 6.16156 & 0.36537 \tabularnewline
347 & 6.56456 & 6.23593 & 0.328627 \tabularnewline
348 & 6.55422 & 6.24308 & 0.311135 \tabularnewline
349 & 6.66543 & 6.43119 & 0.234235 \tabularnewline
350 & 6.69814 & 6.45543 & 0.242718 \tabularnewline
351 & 6.62751 & 6.39959 & 0.227921 \tabularnewline
352 & 6.48738 & 6.30264 & 0.184739 \tabularnewline
353 & 6.42178 & 6.24398 & 0.177804 \tabularnewline
354 & 6.61379 & 6.43173 & 0.182056 \tabularnewline
355 & 6.54262 & 6.37535 & 0.167268 \tabularnewline
356 & 6.51575 & 6.28867 & 0.227075 \tabularnewline
357 & 6.46723 & 6.24126 & 0.225977 \tabularnewline
358 & 6.4331 & 6.19194 & 0.241159 \tabularnewline
359 & 6.45299 & 6.26631 & 0.186684 \tabularnewline
360 & 6.37673 & 6.27346 & 0.103267 \tabularnewline
361 & 6.53626 & 6.46157 & 0.0746857 \tabularnewline
362 & 6.51308 & 6.4858 & 0.0272774 \tabularnewline
363 & 6.47374 & 6.42997 & 0.0437678 \tabularnewline
364 & 6.34353 & 6.33302 & 0.0105115 \tabularnewline
365 & 6.30207 & 6.27436 & 0.0277113 \tabularnewline
366 & 6.44984 & 6.46211 & -0.01227 \tabularnewline
367 & 6.46739 & 6.40573 & 0.0616626 \tabularnewline
368 & 6.38536 & 6.31905 & 0.0663115 \tabularnewline
369 & 6.36251 & 6.27163 & 0.0908777 \tabularnewline
370 & 6.30262 & 6.22232 & 0.0803004 \tabularnewline
371 & 6.3331 & 6.29669 & 0.036414 \tabularnewline
372 & 6.35001 & 6.30384 & 0.0461757 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224517&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]5.46001[/C][C]5.55026[/C][C]-0.090248[/C][/ROW]
[ROW][C]2[/C][C]5.63729[/C][C]5.57449[/C][C]0.0627943[/C][/ROW]
[ROW][C]3[/C][C]5.57822[/C][C]5.51866[/C][C]0.0595628[/C][/ROW]
[ROW][C]4[/C][C]5.48355[/C][C]5.42171[/C][C]0.061846[/C][/ROW]
[ROW][C]5[/C][C]5.30529[/C][C]5.36305[/C][C]-0.057753[/C][/ROW]
[ROW][C]6[/C][C]5.48397[/C][C]5.5508[/C][C]-0.0668295[/C][/ROW]
[ROW][C]7[/C][C]5.48521[/C][C]5.49441[/C][C]-0.00920165[/C][/ROW]
[ROW][C]8[/C][C]5.41075[/C][C]5.40774[/C][C]0.00301336[/C][/ROW]
[ROW][C]9[/C][C]5.32836[/C][C]5.36032[/C][C]-0.0319594[/C][/ROW]
[ROW][C]10[/C][C]5.16307[/C][C]5.31101[/C][C]-0.147936[/C][/ROW]
[ROW][C]11[/C][C]5.31468[/C][C]5.38538[/C][C]-0.0706932[/C][/ROW]
[ROW][C]12[/C][C]5.3959[/C][C]5.39252[/C][C]0.00337278[/C][/ROW]
[ROW][C]13[/C][C]5.70211[/C][C]5.58064[/C][C]0.121478[/C][/ROW]
[ROW][C]14[/C][C]5.85048[/C][C]5.60487[/C][C]0.245608[/C][/ROW]
[ROW][C]15[/C][C]5.82393[/C][C]5.54903[/C][C]0.2749[/C][/ROW]
[ROW][C]16[/C][C]5.7921[/C][C]5.45208[/C][C]0.340016[/C][/ROW]
[ROW][C]17[/C][C]5.86249[/C][C]5.39342[/C][C]0.469071[/C][/ROW]
[ROW][C]18[/C][C]5.98293[/C][C]5.58117[/C][C]0.401755[/C][/ROW]
[ROW][C]19[/C][C]6.08404[/C][C]5.52479[/C][C]0.559253[/C][/ROW]
[ROW][C]20[/C][C]5.9804[/C][C]5.43812[/C][C]0.542287[/C][/ROW]
[ROW][C]21[/C][C]5.89578[/C][C]5.3907[/C][C]0.505081[/C][/ROW]
[ROW][C]22[/C][C]5.93701[/C][C]5.34138[/C][C]0.595625[/C][/ROW]
[ROW][C]23[/C][C]5.87774[/C][C]5.41575[/C][C]0.461983[/C][/ROW]
[ROW][C]24[/C][C]5.9108[/C][C]5.4229[/C][C]0.487895[/C][/ROW]
[ROW][C]25[/C][C]6.14161[/C][C]5.61101[/C][C]0.530594[/C][/ROW]
[ROW][C]26[/C][C]6.17191[/C][C]5.63525[/C][C]0.536663[/C][/ROW]
[ROW][C]27[/C][C]6.0668[/C][C]5.57941[/C][C]0.487393[/C][/ROW]
[ROW][C]28[/C][C]5.904[/C][C]5.48246[/C][C]0.421539[/C][/ROW]
[ROW][C]29[/C][C]5.78782[/C][C]5.4238[/C][C]0.364017[/C][/ROW]
[ROW][C]30[/C][C]5.8724[/C][C]5.61155[/C][C]0.260849[/C][/ROW]
[ROW][C]31[/C][C]5.80393[/C][C]5.55517[/C][C]0.248762[/C][/ROW]
[ROW][C]32[/C][C]5.56567[/C][C]5.46849[/C][C]0.0971756[/C][/ROW]
[ROW][C]33[/C][C]5.51745[/C][C]5.42108[/C][C]0.0963779[/C][/ROW]
[ROW][C]34[/C][C]5.32545[/C][C]5.37176[/C][C]-0.0463146[/C][/ROW]
[ROW][C]35[/C][C]5.46214[/C][C]5.44613[/C][C]0.0160054[/C][/ROW]
[ROW][C]36[/C][C]5.48438[/C][C]5.45328[/C][C]0.0311029[/C][/ROW]
[ROW][C]37[/C][C]5.57935[/C][C]5.64139[/C][C]-0.0620378[/C][/ROW]
[ROW][C]38[/C][C]5.53655[/C][C]5.66562[/C][C]-0.129077[/C][/ROW]
[ROW][C]39[/C][C]5.44803[/C][C]5.60979[/C][C]-0.161758[/C][/ROW]
[ROW][C]40[/C][C]5.26683[/C][C]5.51284[/C][C]-0.24601[/C][/ROW]
[ROW][C]41[/C][C]5.17615[/C][C]5.45418[/C][C]-0.278027[/C][/ROW]
[ROW][C]42[/C][C]5.36223[/C][C]5.64193[/C][C]-0.279697[/C][/ROW]
[ROW][C]43[/C][C]5.33368[/C][C]5.58554[/C][C]-0.25186[/C][/ROW]
[ROW][C]44[/C][C]5.19628[/C][C]5.49887[/C][C]-0.302586[/C][/ROW]
[ROW][C]45[/C][C]5.23963[/C][C]5.45145[/C][C]-0.211824[/C][/ROW]
[ROW][C]46[/C][C]5.16707[/C][C]5.40214[/C][C]-0.235069[/C][/ROW]
[ROW][C]47[/C][C]5.2933[/C][C]5.47651[/C][C]-0.183202[/C][/ROW]
[ROW][C]48[/C][C]5.19073[/C][C]5.48366[/C][C]-0.292924[/C][/ROW]
[ROW][C]49[/C][C]5.41965[/C][C]5.67177[/C][C]-0.252118[/C][/ROW]
[ROW][C]50[/C][C]5.45532[/C][C]5.696[/C][C]-0.240679[/C][/ROW]
[ROW][C]51[/C][C]5.29932[/C][C]5.64016[/C][C]-0.340848[/C][/ROW]
[ROW][C]52[/C][C]5.21276[/C][C]5.54321[/C][C]-0.330454[/C][/ROW]
[ROW][C]53[/C][C]5.18291[/C][C]5.48455[/C][C]-0.301648[/C][/ROW]
[ROW][C]54[/C][C]5.31419[/C][C]5.6723[/C][C]-0.358114[/C][/ROW]
[ROW][C]55[/C][C]5.33994[/C][C]5.61592[/C][C]-0.275983[/C][/ROW]
[ROW][C]56[/C][C]5.25645[/C][C]5.52925[/C][C]-0.272795[/C][/ROW]
[ROW][C]57[/C][C]5.15213[/C][C]5.48183[/C][C]-0.329694[/C][/ROW]
[ROW][C]58[/C][C]4.99721[/C][C]5.43251[/C][C]-0.435302[/C][/ROW]
[ROW][C]59[/C][C]5.07142[/C][C]5.50688[/C][C]-0.435467[/C][/ROW]
[ROW][C]60[/C][C]5.04019[/C][C]5.51403[/C][C]-0.473839[/C][/ROW]
[ROW][C]61[/C][C]5.36223[/C][C]5.70214[/C][C]-0.339914[/C][/ROW]
[ROW][C]62[/C][C]5.28015[/C][C]5.72638[/C][C]-0.446224[/C][/ROW]
[ROW][C]63[/C][C]5.20839[/C][C]5.67054[/C][C]-0.462149[/C][/ROW]
[ROW][C]64[/C][C]5.17275[/C][C]5.57359[/C][C]-0.400837[/C][/ROW]
[ROW][C]65[/C][C]5.03435[/C][C]5.51493[/C][C]-0.48058[/C][/ROW]
[ROW][C]66[/C][C]5.15445[/C][C]5.70268[/C][C]-0.548235[/C][/ROW]
[ROW][C]67[/C][C]5.14166[/C][C]5.6463[/C][C]-0.504635[/C][/ROW]
[ROW][C]68[/C][C]5.0186[/C][C]5.55962[/C][C]-0.541021[/C][/ROW]
[ROW][C]69[/C][C]5.08698[/C][C]5.51221[/C][C]-0.425227[/C][/ROW]
[ROW][C]70[/C][C]5.05752[/C][C]5.46289[/C][C]-0.405373[/C][/ROW]
[ROW][C]71[/C][C]5.30678[/C][C]5.53726[/C][C]-0.23048[/C][/ROW]
[ROW][C]72[/C][C]5.46553[/C][C]5.54441[/C][C]-0.078885[/C][/ROW]
[ROW][C]73[/C][C]5.87521[/C][C]5.73252[/C][C]0.14269[/C][/ROW]
[ROW][C]74[/C][C]5.98721[/C][C]5.75675[/C][C]0.230451[/C][/ROW]
[ROW][C]75[/C][C]6.00067[/C][C]5.70092[/C][C]0.299753[/C][/ROW]
[ROW][C]76[/C][C]5.9522[/C][C]5.60397[/C][C]0.348236[/C][/ROW]
[ROW][C]77[/C][C]5.90209[/C][C]5.54531[/C][C]0.356778[/C][/ROW]
[ROW][C]78[/C][C]5.90835[/C][C]5.73306[/C][C]0.175296[/C][/ROW]
[ROW][C]79[/C][C]5.90781[/C][C]5.67668[/C][C]0.231135[/C][/ROW]
[ROW][C]80[/C][C]5.84932[/C][C]5.59[/C][C]0.259323[/C][/ROW]
[ROW][C]81[/C][C]5.8386[/C][C]5.54258[/C][C]0.296021[/C][/ROW]
[ROW][C]82[/C][C]5.67983[/C][C]5.49327[/C][C]0.186562[/C][/ROW]
[ROW][C]83[/C][C]5.7414[/C][C]5.56764[/C][C]0.173761[/C][/ROW]
[ROW][C]84[/C][C]5.70678[/C][C]5.57479[/C][C]0.131991[/C][/ROW]
[ROW][C]85[/C][C]5.90509[/C][C]5.7629[/C][C]0.142191[/C][/ROW]
[ROW][C]86[/C][C]5.87746[/C][C]5.78713[/C][C]0.0903239[/C][/ROW]
[ROW][C]87[/C][C]5.79818[/C][C]5.7313[/C][C]0.0668872[/C][/ROW]
[ROW][C]88[/C][C]5.75637[/C][C]5.63434[/C][C]0.12203[/C][/ROW]
[ROW][C]89[/C][C]5.59471[/C][C]5.57569[/C][C]0.0190259[/C][/ROW]
[ROW][C]90[/C][C]5.66746[/C][C]5.76344[/C][C]-0.0959715[/C][/ROW]
[ROW][C]91[/C][C]5.58425[/C][C]5.70705[/C][C]-0.122805[/C][/ROW]
[ROW][C]92[/C][C]5.53576[/C][C]5.62038[/C][C]-0.0846207[/C][/ROW]
[ROW][C]93[/C][C]5.45447[/C][C]5.57296[/C][C]-0.118494[/C][/ROW]
[ROW][C]94[/C][C]5.4311[/C][C]5.52365[/C][C]-0.0925475[/C][/ROW]
[ROW][C]95[/C][C]5.53576[/C][C]5.59802[/C][C]-0.0622572[/C][/ROW]
[ROW][C]96[/C][C]5.56107[/C][C]5.60516[/C][C]-0.0440982[/C][/ROW]
[ROW][C]97[/C][C]5.72554[/C][C]5.79328[/C][C]-0.0677316[/C][/ROW]
[ROW][C]98[/C][C]5.73399[/C][C]5.81751[/C][C]-0.0835205[/C][/ROW]
[ROW][C]99[/C][C]5.73496[/C][C]5.76167[/C][C]-0.0267149[/C][/ROW]
[ROW][C]100[/C][C]5.60212[/C][C]5.66472[/C][C]-0.0626031[/C][/ROW]
[ROW][C]101[/C][C]5.63443[/C][C]5.60606[/C][C]0.0283698[/C][/ROW]
[ROW][C]102[/C][C]5.76174[/C][C]5.79381[/C][C]-0.0320759[/C][/ROW]
[ROW][C]103[/C][C]5.69843[/C][C]5.73743[/C][C]-0.0389951[/C][/ROW]
[ROW][C]104[/C][C]5.50817[/C][C]5.65076[/C][C]-0.142583[/C][/ROW]
[ROW][C]105[/C][C]5.42627[/C][C]5.60334[/C][C]-0.177067[/C][/ROW]
[ROW][C]106[/C][C]5.34281[/C][C]5.55402[/C][C]-0.21121[/C][/ROW]
[ROW][C]107[/C][C]5.5603[/C][C]5.62839[/C][C]-0.0680955[/C][/ROW]
[ROW][C]108[/C][C]5.5835[/C][C]5.63554[/C][C]-0.0520452[/C][/ROW]
[ROW][C]109[/C][C]5.77019[/C][C]5.82365[/C][C]-0.0534584[/C][/ROW]
[ROW][C]110[/C][C]5.73172[/C][C]5.84789[/C][C]-0.116164[/C][/ROW]
[ROW][C]111[/C][C]5.64262[/C][C]5.79205[/C][C]-0.149434[/C][/ROW]
[ROW][C]112[/C][C]5.57101[/C][C]5.6951[/C][C]-0.124086[/C][/ROW]
[ROW][C]113[/C][C]5.57405[/C][C]5.63644[/C][C]-0.0623863[/C][/ROW]
[ROW][C]114[/C][C]5.74652[/C][C]5.82419[/C][C]-0.0776672[/C][/ROW]
[ROW][C]115[/C][C]5.65003[/C][C]5.76781[/C][C]-0.117777[/C][/ROW]
[ROW][C]116[/C][C]5.53181[/C][C]5.68113[/C][C]-0.149326[/C][/ROW]
[ROW][C]117[/C][C]5.52266[/C][C]5.63371[/C][C]-0.111054[/C][/ROW]
[ROW][C]118[/C][C]5.50736[/C][C]5.5844[/C][C]-0.0770381[/C][/ROW]
[ROW][C]119[/C][C]5.74524[/C][C]5.65877[/C][C]0.0864748[/C][/ROW]
[ROW][C]120[/C][C]5.80874[/C][C]5.66592[/C][C]0.142824[/C][/ROW]
[ROW][C]121[/C][C]6.10122[/C][C]5.85403[/C][C]0.247186[/C][/ROW]
[ROW][C]122[/C][C]6.23754[/C][C]5.87826[/C][C]0.35928[/C][/ROW]
[ROW][C]123[/C][C]6.24514[/C][C]5.82243[/C][C]0.42271[/C][/ROW]
[ROW][C]124[/C][C]6.22733[/C][C]5.72548[/C][C]0.501851[/C][/ROW]
[ROW][C]125[/C][C]6.18043[/C][C]5.66682[/C][C]0.513614[/C][/ROW]
[ROW][C]126[/C][C]6.25824[/C][C]5.85457[/C][C]0.403675[/C][/ROW]
[ROW][C]127[/C][C]6.23402[/C][C]5.79818[/C][C]0.435834[/C][/ROW]
[ROW][C]128[/C][C]6.13275[/C][C]5.71151[/C][C]0.421237[/C][/ROW]
[ROW][C]129[/C][C]6.00586[/C][C]5.66409[/C][C]0.341769[/C][/ROW]
[ROW][C]130[/C][C]5.92693[/C][C]5.61478[/C][C]0.312149[/C][/ROW]
[ROW][C]131[/C][C]5.93622[/C][C]5.68915[/C][C]0.247069[/C][/ROW]
[ROW][C]132[/C][C]6.00832[/C][C]5.6963[/C][C]0.312026[/C][/ROW]
[ROW][C]133[/C][C]6.14804[/C][C]5.88441[/C][C]0.263634[/C][/ROW]
[ROW][C]134[/C][C]6.15231[/C][C]5.90864[/C][C]0.243667[/C][/ROW]
[ROW][C]135[/C][C]6.06332[/C][C]5.8528[/C][C]0.210516[/C][/ROW]
[ROW][C]136[/C][C]5.87437[/C][C]5.75585[/C][C]0.118516[/C][/ROW]
[ROW][C]137[/C][C]5.80724[/C][C]5.69719[/C][C]0.110047[/C][/ROW]
[ROW][C]138[/C][C]5.93489[/C][C]5.88494[/C][C]0.0499502[/C][/ROW]
[ROW][C]139[/C][C]5.88749[/C][C]5.82856[/C][C]0.0589308[/C][/ROW]
[ROW][C]140[/C][C]5.81323[/C][C]5.74189[/C][C]0.0713474[/C][/ROW]
[ROW][C]141[/C][C]5.76676[/C][C]5.69447[/C][C]0.0722886[/C][/ROW]
[ROW][C]142[/C][C]5.77796[/C][C]5.64515[/C][C]0.132808[/C][/ROW]
[ROW][C]143[/C][C]5.89605[/C][C]5.71952[/C][C]0.176531[/C][/ROW]
[ROW][C]144[/C][C]5.86392[/C][C]5.72667[/C][C]0.137243[/C][/ROW]
[ROW][C]145[/C][C]6.02078[/C][C]5.91478[/C][C]0.105997[/C][/ROW]
[ROW][C]146[/C][C]5.96255[/C][C]5.93902[/C][C]0.0235335[/C][/ROW]
[ROW][C]147[/C][C]6.03165[/C][C]5.88318[/C][C]0.148465[/C][/ROW]
[ROW][C]148[/C][C]5.88805[/C][C]5.78623[/C][C]0.101816[/C][/ROW]
[ROW][C]149[/C][C]5.82305[/C][C]5.72757[/C][C]0.095475[/C][/ROW]
[ROW][C]150[/C][C]6.03357[/C][C]5.91532[/C][C]0.118245[/C][/ROW]
[ROW][C]151[/C][C]5.96204[/C][C]5.85894[/C][C]0.103097[/C][/ROW]
[ROW][C]152[/C][C]5.91647[/C][C]5.77226[/C][C]0.144207[/C][/ROW]
[ROW][C]153[/C][C]5.80363[/C][C]5.72485[/C][C]0.0787821[/C][/ROW]
[ROW][C]154[/C][C]5.86845[/C][C]5.67553[/C][C]0.192918[/C][/ROW]
[ROW][C]155[/C][C]5.98318[/C][C]5.7499[/C][C]0.23328[/C][/ROW]
[ROW][C]156[/C][C]6.10256[/C][C]5.75705[/C][C]0.345509[/C][/ROW]
[ROW][C]157[/C][C]6.27946[/C][C]5.94516[/C][C]0.334298[/C][/ROW]
[ROW][C]158[/C][C]6.33753[/C][C]5.96939[/C][C]0.368139[/C][/ROW]
[ROW][C]159[/C][C]6.29582[/C][C]5.91356[/C][C]0.382261[/C][/ROW]
[ROW][C]160[/C][C]6.19175[/C][C]5.81661[/C][C]0.375142[/C][/ROW]
[ROW][C]161[/C][C]6.14654[/C][C]5.75795[/C][C]0.388595[/C][/ROW]
[ROW][C]162[/C][C]6.27533[/C][C]5.9457[/C][C]0.329629[/C][/ROW]
[ROW][C]163[/C][C]6.20678[/C][C]5.88932[/C][C]0.317462[/C][/ROW]
[ROW][C]164[/C][C]6.09582[/C][C]5.80264[/C][C]0.293183[/C][/ROW]
[ROW][C]165[/C][C]5.99993[/C][C]5.75522[/C][C]0.244706[/C][/ROW]
[ROW][C]166[/C][C]5.95661[/C][C]5.70591[/C][C]0.250706[/C][/ROW]
[ROW][C]167[/C][C]5.9766[/C][C]5.78028[/C][C]0.196327[/C][/ROW]
[ROW][C]168[/C][C]6.00166[/C][C]5.78743[/C][C]0.214236[/C][/ROW]
[ROW][C]169[/C][C]6.13578[/C][C]5.97554[/C][C]0.160243[/C][/ROW]
[ROW][C]170[/C][C]6.10502[/C][C]5.99977[/C][C]0.105245[/C][/ROW]
[ROW][C]171[/C][C]6.06912[/C][C]5.94394[/C][C]0.125184[/C][/ROW]
[ROW][C]172[/C][C]5.95661[/C][C]5.84698[/C][C]0.10963[/C][/ROW]
[ROW][C]173[/C][C]5.97939[/C][C]5.78832[/C][C]0.191067[/C][/ROW]
[ROW][C]174[/C][C]6.04477[/C][C]5.97608[/C][C]0.0686931[/C][/ROW]
[ROW][C]175[/C][C]5.94777[/C][C]5.91969[/C][C]0.0280814[/C][/ROW]
[ROW][C]176[/C][C]5.95116[/C][C]5.83302[/C][C]0.118145[/C][/ROW]
[ROW][C]177[/C][C]5.84499[/C][C]5.7856[/C][C]0.0593928[/C][/ROW]
[ROW][C]178[/C][C]5.77889[/C][C]5.73629[/C][C]0.0426045[/C][/ROW]
[ROW][C]179[/C][C]5.92051[/C][C]5.81065[/C][C]0.109851[/C][/ROW]
[ROW][C]180[/C][C]5.92959[/C][C]5.8178[/C][C]0.111785[/C][/ROW]
[ROW][C]181[/C][C]6.13708[/C][C]6.00592[/C][C]0.131164[/C][/ROW]
[ROW][C]182[/C][C]6.18826[/C][C]6.03015[/C][C]0.158116[/C][/ROW]
[ROW][C]183[/C][C]6.09627[/C][C]5.97431[/C][C]0.121962[/C][/ROW]
[ROW][C]184[/C][C]5.98971[/C][C]5.87736[/C][C]0.112352[/C][/ROW]
[ROW][C]185[/C][C]5.97863[/C][C]5.8187[/C][C]0.159931[/C][/ROW]
[ROW][C]186[/C][C]6.12118[/C][C]6.00645[/C][C]0.114724[/C][/ROW]
[ROW][C]187[/C][C]6.02587[/C][C]5.95007[/C][C]0.0757965[/C][/ROW]
[ROW][C]188[/C][C]5.92826[/C][C]5.8634[/C][C]0.064863[/C][/ROW]
[ROW][C]189[/C][C]5.84932[/C][C]5.81598[/C][C]0.0333478[/C][/ROW]
[ROW][C]190[/C][C]5.82718[/C][C]5.76666[/C][C]0.0605168[/C][/ROW]
[ROW][C]191[/C][C]5.95532[/C][C]5.84103[/C][C]0.114287[/C][/ROW]
[ROW][C]192[/C][C]5.93701[/C][C]5.84818[/C][C]0.0888274[/C][/ROW]
[ROW][C]193[/C][C]6.11324[/C][C]6.03629[/C][C]0.0769475[/C][/ROW]
[ROW][C]194[/C][C]6.10054[/C][C]6.06053[/C][C]0.0400178[/C][/ROW]
[ROW][C]195[/C][C]6.04619[/C][C]6.00469[/C][C]0.0414999[/C][/ROW]
[ROW][C]196[/C][C]5.9483[/C][C]5.90774[/C][C]0.0405576[/C][/ROW]
[ROW][C]197[/C][C]5.8659[/C][C]5.84908[/C][C]0.0168222[/C][/ROW]
[ROW][C]198[/C][C]6.09875[/C][C]6.03683[/C][C]0.0619189[/C][/ROW]
[ROW][C]199[/C][C]5.90672[/C][C]5.98045[/C][C]-0.0737232[/C][/ROW]
[ROW][C]200[/C][C]5.8724[/C][C]5.89377[/C][C]-0.0213731[/C][/ROW]
[ROW][C]201[/C][C]5.78751[/C][C]5.84635[/C][C]-0.0588433[/C][/ROW]
[ROW][C]202[/C][C]5.7677[/C][C]5.79704[/C][C]-0.0293438[/C][/ROW]
[ROW][C]203[/C][C]5.80453[/C][C]5.87141[/C][C]-0.0668766[/C][/ROW]
[ROW][C]204[/C][C]5.83159[/C][C]5.87856[/C][C]-0.0469688[/C][/ROW]
[ROW][C]205[/C][C]5.9766[/C][C]6.06667[/C][C]-0.0900645[/C][/ROW]
[ROW][C]206[/C][C]6.03357[/C][C]6.0909[/C][C]-0.0573367[/C][/ROW]
[ROW][C]207[/C][C]5.91323[/C][C]6.03507[/C][C]-0.121834[/C][/ROW]
[ROW][C]208[/C][C]5.85564[/C][C]5.93812[/C][C]-0.0824707[/C][/ROW]
[ROW][C]209[/C][C]5.77269[/C][C]5.87946[/C][C]-0.10677[/C][/ROW]
[ROW][C]210[/C][C]6.00561[/C][C]6.06721[/C][C]-0.0615924[/C][/ROW]
[ROW][C]211[/C][C]5.83744[/C][C]6.01082[/C][C]-0.173385[/C][/ROW]
[ROW][C]212[/C][C]5.75732[/C][C]5.92415[/C][C]-0.166826[/C][/ROW]
[ROW][C]213[/C][C]5.64968[/C][C]5.87673[/C][C]-0.227053[/C][/ROW]
[ROW][C]214[/C][C]5.60175[/C][C]5.82742[/C][C]-0.225667[/C][/ROW]
[ROW][C]215[/C][C]5.66573[/C][C]5.90179[/C][C]-0.236052[/C][/ROW]
[ROW][C]216[/C][C]5.63049[/C][C]5.90894[/C][C]-0.27844[/C][/ROW]
[ROW][C]217[/C][C]5.78198[/C][C]6.09705[/C][C]-0.315069[/C][/ROW]
[ROW][C]218[/C][C]5.73947[/C][C]6.12128[/C][C]-0.381808[/C][/ROW]
[ROW][C]219[/C][C]5.70044[/C][C]6.06544[/C][C]-0.365[/C][/ROW]
[ROW][C]220[/C][C]5.60947[/C][C]5.96849[/C][C]-0.359021[/C][/ROW]
[ROW][C]221[/C][C]5.63229[/C][C]5.90983[/C][C]-0.277547[/C][/ROW]
[ROW][C]222[/C][C]5.88388[/C][C]6.09758[/C][C]-0.213704[/C][/ROW]
[ROW][C]223[/C][C]5.72031[/C][C]6.0412[/C][C]-0.320889[/C][/ROW]
[ROW][C]224[/C][C]5.64226[/C][C]5.95453[/C][C]-0.312265[/C][/ROW]
[ROW][C]225[/C][C]5.52266[/C][C]5.90711[/C][C]-0.384448[/C][/ROW]
[ROW][C]226[/C][C]5.50736[/C][C]5.85779[/C][C]-0.350432[/C][/ROW]
[ROW][C]227[/C][C]5.55257[/C][C]5.93216[/C][C]-0.379591[/C][/ROW]
[ROW][C]228[/C][C]5.58537[/C][C]5.93931[/C][C]-0.353938[/C][/ROW]
[ROW][C]229[/C][C]5.75543[/C][C]6.12742[/C][C]-0.371998[/C][/ROW]
[ROW][C]230[/C][C]5.76331[/C][C]6.15166[/C][C]-0.388348[/C][/ROW]
[ROW][C]231[/C][C]5.68833[/C][C]6.09582[/C][C]-0.40749[/C][/ROW]
[ROW][C]232[/C][C]5.585[/C][C]5.99887[/C][C]-0.413871[/C][/ROW]
[ROW][C]233[/C][C]5.50452[/C][C]5.94021[/C][C]-0.435692[/C][/ROW]
[ROW][C]234[/C][C]5.89385[/C][C]6.12796[/C][C]-0.234109[/C][/ROW]
[ROW][C]235[/C][C]5.78352[/C][C]6.07158[/C][C]-0.28806[/C][/ROW]
[ROW][C]236[/C][C]5.68426[/C][C]5.9849[/C][C]-0.300644[/C][/ROW]
[ROW][C]237[/C][C]5.66816[/C][C]5.93749[/C][C]-0.26933[/C][/ROW]
[ROW][C]238[/C][C]5.68765[/C][C]5.88817[/C][C]-0.200518[/C][/ROW]
[ROW][C]239[/C][C]5.67091[/C][C]5.96254[/C][C]-0.291625[/C][/ROW]
[ROW][C]240[/C][C]5.6058[/C][C]5.96969[/C][C]-0.363887[/C][/ROW]
[ROW][C]241[/C][C]5.72815[/C][C]6.1578[/C][C]-0.429651[/C][/ROW]
[ROW][C]242[/C][C]5.79515[/C][C]6.18203[/C][C]-0.386888[/C][/ROW]
[ROW][C]243[/C][C]5.67983[/C][C]6.1262[/C][C]-0.446367[/C][/ROW]
[ROW][C]244[/C][C]5.51785[/C][C]6.02925[/C][C]-0.511392[/C][/ROW]
[ROW][C]245[/C][C]5.43982[/C][C]5.97059[/C][C]-0.53077[/C][/ROW]
[ROW][C]246[/C][C]5.89026[/C][C]6.15834[/C][C]-0.268076[/C][/ROW]
[ROW][C]247[/C][C]5.77362[/C][C]6.10195[/C][C]-0.328335[/C][/ROW]
[ROW][C]248[/C][C]5.62474[/C][C]6.01528[/C][C]-0.390542[/C][/ROW]
[ROW][C]249[/C][C]5.56337[/C][C]5.96786[/C][C]-0.404492[/C][/ROW]
[ROW][C]250[/C][C]5.52545[/C][C]5.91855[/C][C]-0.393095[/C][/ROW]
[ROW][C]251[/C][C]5.55141[/C][C]5.99292[/C][C]-0.441509[/C][/ROW]
[ROW][C]252[/C][C]5.48811[/C][C]6.00007[/C][C]-0.511955[/C][/ROW]
[ROW][C]253[/C][C]5.66122[/C][C]6.18818[/C][C]-0.526955[/C][/ROW]
[ROW][C]254[/C][C]5.67778[/C][C]6.21241[/C][C]-0.53463[/C][/ROW]
[ROW][C]255[/C][C]5.61568[/C][C]6.15657[/C][C]-0.540895[/C][/ROW]
[ROW][C]256[/C][C]5.53812[/C][C]6.05962[/C][C]-0.521502[/C][/ROW]
[ROW][C]257[/C][C]5.43808[/C][C]6.00096[/C][C]-0.562885[/C][/ROW]
[ROW][C]258[/C][C]5.826[/C][C]6.18871[/C][C]-0.362715[/C][/ROW]
[ROW][C]259[/C][C]5.76268[/C][C]6.13233[/C][C]-0.369652[/C][/ROW]
[ROW][C]260[/C][C]5.65948[/C][C]6.04566[/C][C]-0.386176[/C][/ROW]
[ROW][C]261[/C][C]5.68968[/C][C]5.99824[/C][C]-0.308556[/C][/ROW]
[ROW][C]262[/C][C]5.64897[/C][C]5.94892[/C][C]-0.299951[/C][/ROW]
[ROW][C]263[/C][C]5.60212[/C][C]6.02329[/C][C]-0.421176[/C][/ROW]
[ROW][C]264[/C][C]5.57101[/C][C]6.03044[/C][C]-0.459431[/C][/ROW]
[ROW][C]265[/C][C]5.83071[/C][C]6.21855[/C][C]-0.387846[/C][/ROW]
[ROW][C]266[/C][C]5.93859[/C][C]6.24279[/C][C]-0.304197[/C][/ROW]
[ROW][C]267[/C][C]5.92238[/C][C]6.18695[/C][C]-0.26457[/C][/ROW]
[ROW][C]268[/C][C]5.87268[/C][C]6.09[/C][C]-0.21732[/C][/ROW]
[ROW][C]269[/C][C]5.82423[/C][C]6.03134[/C][C]-0.207113[/C][/ROW]
[ROW][C]270[/C][C]6.14612[/C][C]6.21909[/C][C]-0.0729766[/C][/ROW]
[ROW][C]271[/C][C]6.11147[/C][C]6.16271[/C][C]-0.0512416[/C][/ROW]
[ROW][C]272[/C][C]6.04501[/C][C]6.07603[/C][C]-0.0310297[/C][/ROW]
[ROW][C]273[/C][C]6.06192[/C][C]6.02862[/C][C]0.0333066[/C][/ROW]
[ROW][C]274[/C][C]6.0542[/C][C]5.9793[/C][C]0.0749026[/C][/ROW]
[ROW][C]275[/C][C]6.13275[/C][C]6.05367[/C][C]0.0790756[/C][/ROW]
[ROW][C]276[/C][C]6.13902[/C][C]6.06082[/C][C]0.0782017[/C][/ROW]
[ROW][C]277[/C][C]6.29416[/C][C]6.24893[/C][C]0.0452268[/C][/ROW]
[ROW][C]278[/C][C]6.29932[/C][C]6.27316[/C][C]0.026152[/C][/ROW]
[ROW][C]279[/C][C]6.24901[/C][C]6.21733[/C][C]0.0316805[/C][/ROW]
[ROW][C]280[/C][C]6.15146[/C][C]6.12038[/C][C]0.0310774[/C][/ROW]
[ROW][C]281[/C][C]6.08541[/C][C]6.06172[/C][C]0.0236915[/C][/ROW]
[ROW][C]282[/C][C]6.3081[/C][C]6.24947[/C][C]0.0586296[/C][/ROW]
[ROW][C]283[/C][C]6.27852[/C][C]6.19309[/C][C]0.0854354[/C][/ROW]
[ROW][C]284[/C][C]6.22673[/C][C]6.10641[/C][C]0.120322[/C][/ROW]
[ROW][C]285[/C][C]6.18208[/C][C]6.05899[/C][C]0.123091[/C][/ROW]
[ROW][C]286[/C][C]6.12468[/C][C]6.00968[/C][C]0.115004[/C][/ROW]
[ROW][C]287[/C][C]6.17691[/C][C]6.08405[/C][C]0.0928577[/C][/ROW]
[ROW][C]288[/C][C]6.15167[/C][C]6.0912[/C][C]0.0604708[/C][/ROW]
[ROW][C]289[/C][C]6.30024[/C][C]6.27931[/C][C]0.0209265[/C][/ROW]
[ROW][C]290[/C][C]6.29379[/C][C]6.30354[/C][C]-0.009753[/C][/ROW]
[ROW][C]291[/C][C]6.25671[/C][C]6.24771[/C][C]0.00900317[/C][/ROW]
[ROW][C]292[/C][C]6.15209[/C][C]6.15075[/C][C]0.0013392[/C][/ROW]
[ROW][C]293[/C][C]6.07397[/C][C]6.0921[/C][C]-0.0181299[/C][/ROW]
[ROW][C]294[/C][C]6.29637[/C][C]6.27985[/C][C]0.0165265[/C][/ROW]
[ROW][C]295[/C][C]6.24862[/C][C]6.22346[/C][C]0.0251599[/C][/ROW]
[ROW][C]296[/C][C]6.18559[/C][C]6.13679[/C][C]0.048802[/C][/ROW]
[ROW][C]297[/C][C]6.14376[/C][C]6.08937[/C][C]0.0543858[/C][/ROW]
[ROW][C]298[/C][C]6.10256[/C][C]6.04006[/C][C]0.0625025[/C][/ROW]
[ROW][C]299[/C][C]6.05585[/C][C]6.11443[/C][C]-0.0585788[/C][/ROW]
[ROW][C]300[/C][C]6.02005[/C][C]6.12157[/C][C]-0.101523[/C][/ROW]
[ROW][C]301[/C][C]6.1474[/C][C]6.30969[/C][C]-0.162286[/C][/ROW]
[ROW][C]302[/C][C]6.18312[/C][C]6.33392[/C][C]-0.150802[/C][/ROW]
[ROW][C]303[/C][C]6.11191[/C][C]6.27808[/C][C]-0.166172[/C][/ROW]
[ROW][C]304[/C][C]6.03404[/C][C]6.18113[/C][C]-0.147087[/C][/ROW]
[ROW][C]305[/C][C]5.93991[/C][C]6.12247[/C][C]-0.182565[/C][/ROW]
[ROW][C]306[/C][C]6.18353[/C][C]6.31022[/C][C]-0.126693[/C][/ROW]
[ROW][C]307[/C][C]6.1203[/C][C]6.25384[/C][C]-0.133543[/C][/ROW]
[ROW][C]308[/C][C]6.04216[/C][C]6.16717[/C][C]-0.125009[/C][/ROW]
[ROW][C]309[/C][C]6.03189[/C][C]6.11975[/C][C]-0.0878612[/C][/ROW]
[ROW][C]310[/C][C]5.93039[/C][C]6.07043[/C][C]-0.140047[/C][/ROW]
[ROW][C]311[/C][C]6.00537[/C][C]6.1448[/C][C]-0.139435[/C][/ROW]
[ROW][C]312[/C][C]6.00586[/C][C]6.15195[/C][C]-0.146091[/C][/ROW]
[ROW][C]313[/C][C]6.21621[/C][C]6.34006[/C][C]-0.123856[/C][/ROW]
[ROW][C]314[/C][C]6.24222[/C][C]6.3643[/C][C]-0.122073[/C][/ROW]
[ROW][C]315[/C][C]6.16437[/C][C]6.30846[/C][C]-0.144093[/C][/ROW]
[ROW][C]316[/C][C]6.06402[/C][C]6.21151[/C][C]-0.147491[/C][/ROW]
[ROW][C]317[/C][C]6.02683[/C][C]6.15285[/C][C]-0.126018[/C][/ROW]
[ROW][C]318[/C][C]6.28786[/C][C]6.3406[/C][C]-0.0527415[/C][/ROW]
[ROW][C]319[/C][C]6.2653[/C][C]6.28422[/C][C]-0.018916[/C][/ROW]
[ROW][C]320[/C][C]6.19134[/C][C]6.19754[/C][C]-0.00620378[/C][/ROW]
[ROW][C]321[/C][C]6.25421[/C][C]6.15012[/C][C]0.104089[/C][/ROW]
[ROW][C]322[/C][C]6.22337[/C][C]6.10081[/C][C]0.122559[/C][/ROW]
[ROW][C]323[/C][C]6.343[/C][C]6.17518[/C][C]0.167822[/C][/ROW]
[ROW][C]324[/C][C]6.41444[/C][C]6.18233[/C][C]0.232113[/C][/ROW]
[ROW][C]325[/C][C]6.70686[/C][C]6.37044[/C][C]0.336422[/C][/ROW]
[ROW][C]326[/C][C]6.72251[/C][C]6.39467[/C][C]0.327836[/C][/ROW]
[ROW][C]327[/C][C]6.72851[/C][C]6.33884[/C][C]0.389672[/C][/ROW]
[ROW][C]328[/C][C]6.66185[/C][C]6.24189[/C][C]0.419969[/C][/ROW]
[ROW][C]329[/C][C]6.63634[/C][C]6.18323[/C][C]0.453113[/C][/ROW]
[ROW][C]330[/C][C]6.75332[/C][C]6.37098[/C][C]0.382344[/C][/ROW]
[ROW][C]331[/C][C]6.7104[/C][C]6.31459[/C][C]0.395807[/C][/ROW]
[ROW][C]332[/C][C]6.64587[/C][C]6.22792[/C][C]0.417951[/C][/ROW]
[ROW][C]333[/C][C]6.623[/C][C]6.1805[/C][C]0.4425[/C][/ROW]
[ROW][C]334[/C][C]6.58534[/C][C]6.13119[/C][C]0.454156[/C][/ROW]
[ROW][C]335[/C][C]6.58355[/C][C]6.20556[/C][C]0.377991[/C][/ROW]
[ROW][C]336[/C][C]6.57856[/C][C]6.21271[/C][C]0.365851[/C][/ROW]
[ROW][C]337[/C][C]6.70613[/C][C]6.40082[/C][C]0.305312[/C][/ROW]
[ROW][C]338[/C][C]6.68873[/C][C]6.42505[/C][C]0.263678[/C][/ROW]
[ROW][C]339[/C][C]6.6234[/C][C]6.36921[/C][C]0.254187[/C][/ROW]
[ROW][C]340[/C][C]6.53524[/C][C]6.27226[/C][C]0.262978[/C][/ROW]
[ROW][C]341[/C][C]6.44635[/C][C]6.2136[/C][C]0.232751[/C][/ROW]
[ROW][C]342[/C][C]6.64053[/C][C]6.40135[/C][C]0.239175[/C][/ROW]
[ROW][C]343[/C][C]6.63029[/C][C]6.34497[/C][C]0.285316[/C][/ROW]
[ROW][C]344[/C][C]6.59605[/C][C]6.2583[/C][C]0.337756[/C][/ROW]
[ROW][C]345[/C][C]6.55479[/C][C]6.21088[/C][C]0.343909[/C][/ROW]
[ROW][C]346[/C][C]6.52693[/C][C]6.16156[/C][C]0.36537[/C][/ROW]
[ROW][C]347[/C][C]6.56456[/C][C]6.23593[/C][C]0.328627[/C][/ROW]
[ROW][C]348[/C][C]6.55422[/C][C]6.24308[/C][C]0.311135[/C][/ROW]
[ROW][C]349[/C][C]6.66543[/C][C]6.43119[/C][C]0.234235[/C][/ROW]
[ROW][C]350[/C][C]6.69814[/C][C]6.45543[/C][C]0.242718[/C][/ROW]
[ROW][C]351[/C][C]6.62751[/C][C]6.39959[/C][C]0.227921[/C][/ROW]
[ROW][C]352[/C][C]6.48738[/C][C]6.30264[/C][C]0.184739[/C][/ROW]
[ROW][C]353[/C][C]6.42178[/C][C]6.24398[/C][C]0.177804[/C][/ROW]
[ROW][C]354[/C][C]6.61379[/C][C]6.43173[/C][C]0.182056[/C][/ROW]
[ROW][C]355[/C][C]6.54262[/C][C]6.37535[/C][C]0.167268[/C][/ROW]
[ROW][C]356[/C][C]6.51575[/C][C]6.28867[/C][C]0.227075[/C][/ROW]
[ROW][C]357[/C][C]6.46723[/C][C]6.24126[/C][C]0.225977[/C][/ROW]
[ROW][C]358[/C][C]6.4331[/C][C]6.19194[/C][C]0.241159[/C][/ROW]
[ROW][C]359[/C][C]6.45299[/C][C]6.26631[/C][C]0.186684[/C][/ROW]
[ROW][C]360[/C][C]6.37673[/C][C]6.27346[/C][C]0.103267[/C][/ROW]
[ROW][C]361[/C][C]6.53626[/C][C]6.46157[/C][C]0.0746857[/C][/ROW]
[ROW][C]362[/C][C]6.51308[/C][C]6.4858[/C][C]0.0272774[/C][/ROW]
[ROW][C]363[/C][C]6.47374[/C][C]6.42997[/C][C]0.0437678[/C][/ROW]
[ROW][C]364[/C][C]6.34353[/C][C]6.33302[/C][C]0.0105115[/C][/ROW]
[ROW][C]365[/C][C]6.30207[/C][C]6.27436[/C][C]0.0277113[/C][/ROW]
[ROW][C]366[/C][C]6.44984[/C][C]6.46211[/C][C]-0.01227[/C][/ROW]
[ROW][C]367[/C][C]6.46739[/C][C]6.40573[/C][C]0.0616626[/C][/ROW]
[ROW][C]368[/C][C]6.38536[/C][C]6.31905[/C][C]0.0663115[/C][/ROW]
[ROW][C]369[/C][C]6.36251[/C][C]6.27163[/C][C]0.0908777[/C][/ROW]
[ROW][C]370[/C][C]6.30262[/C][C]6.22232[/C][C]0.0803004[/C][/ROW]
[ROW][C]371[/C][C]6.3331[/C][C]6.29669[/C][C]0.036414[/C][/ROW]
[ROW][C]372[/C][C]6.35001[/C][C]6.30384[/C][C]0.0461757[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224517&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224517&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 Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	5.46001	5.55026	-0.090248
2	5.63729	5.57449	0.0627943
3	5.57822	5.51866	0.0595628
4	5.48355	5.42171	0.061846
5	5.30529	5.36305	-0.057753
6	5.48397	5.5508	-0.0668295
7	5.48521	5.49441	-0.00920165
8	5.41075	5.40774	0.00301336
9	5.32836	5.36032	-0.0319594
10	5.16307	5.31101	-0.147936
11	5.31468	5.38538	-0.0706932
12	5.3959	5.39252	0.00337278
13	5.70211	5.58064	0.121478
14	5.85048	5.60487	0.245608
15	5.82393	5.54903	0.2749
16	5.7921	5.45208	0.340016
17	5.86249	5.39342	0.469071
18	5.98293	5.58117	0.401755
19	6.08404	5.52479	0.559253
20	5.9804	5.43812	0.542287
21	5.89578	5.3907	0.505081
22	5.93701	5.34138	0.595625
23	5.87774	5.41575	0.461983
24	5.9108	5.4229	0.487895
25	6.14161	5.61101	0.530594
26	6.17191	5.63525	0.536663
27	6.0668	5.57941	0.487393
28	5.904	5.48246	0.421539
29	5.78782	5.4238	0.364017
30	5.8724	5.61155	0.260849
31	5.80393	5.55517	0.248762
32	5.56567	5.46849	0.0971756
33	5.51745	5.42108	0.0963779
34	5.32545	5.37176	-0.0463146
35	5.46214	5.44613	0.0160054
36	5.48438	5.45328	0.0311029
37	5.57935	5.64139	-0.0620378
38	5.53655	5.66562	-0.129077
39	5.44803	5.60979	-0.161758
40	5.26683	5.51284	-0.24601
41	5.17615	5.45418	-0.278027
42	5.36223	5.64193	-0.279697
43	5.33368	5.58554	-0.25186
44	5.19628	5.49887	-0.302586
45	5.23963	5.45145	-0.211824
46	5.16707	5.40214	-0.235069
47	5.2933	5.47651	-0.183202
48	5.19073	5.48366	-0.292924
49	5.41965	5.67177	-0.252118
50	5.45532	5.696	-0.240679
51	5.29932	5.64016	-0.340848
52	5.21276	5.54321	-0.330454
53	5.18291	5.48455	-0.301648
54	5.31419	5.6723	-0.358114
55	5.33994	5.61592	-0.275983
56	5.25645	5.52925	-0.272795
57	5.15213	5.48183	-0.329694
58	4.99721	5.43251	-0.435302
59	5.07142	5.50688	-0.435467
60	5.04019	5.51403	-0.473839
61	5.36223	5.70214	-0.339914
62	5.28015	5.72638	-0.446224
63	5.20839	5.67054	-0.462149
64	5.17275	5.57359	-0.400837
65	5.03435	5.51493	-0.48058
66	5.15445	5.70268	-0.548235
67	5.14166	5.6463	-0.504635
68	5.0186	5.55962	-0.541021
69	5.08698	5.51221	-0.425227
70	5.05752	5.46289	-0.405373
71	5.30678	5.53726	-0.23048
72	5.46553	5.54441	-0.078885
73	5.87521	5.73252	0.14269
74	5.98721	5.75675	0.230451
75	6.00067	5.70092	0.299753
76	5.9522	5.60397	0.348236
77	5.90209	5.54531	0.356778
78	5.90835	5.73306	0.175296
79	5.90781	5.67668	0.231135
80	5.84932	5.59	0.259323
81	5.8386	5.54258	0.296021
82	5.67983	5.49327	0.186562
83	5.7414	5.56764	0.173761
84	5.70678	5.57479	0.131991
85	5.90509	5.7629	0.142191
86	5.87746	5.78713	0.0903239
87	5.79818	5.7313	0.0668872
88	5.75637	5.63434	0.12203
89	5.59471	5.57569	0.0190259
90	5.66746	5.76344	-0.0959715
91	5.58425	5.70705	-0.122805
92	5.53576	5.62038	-0.0846207
93	5.45447	5.57296	-0.118494
94	5.4311	5.52365	-0.0925475
95	5.53576	5.59802	-0.0622572
96	5.56107	5.60516	-0.0440982
97	5.72554	5.79328	-0.0677316
98	5.73399	5.81751	-0.0835205
99	5.73496	5.76167	-0.0267149
100	5.60212	5.66472	-0.0626031
101	5.63443	5.60606	0.0283698
102	5.76174	5.79381	-0.0320759
103	5.69843	5.73743	-0.0389951
104	5.50817	5.65076	-0.142583
105	5.42627	5.60334	-0.177067
106	5.34281	5.55402	-0.21121
107	5.5603	5.62839	-0.0680955
108	5.5835	5.63554	-0.0520452
109	5.77019	5.82365	-0.0534584
110	5.73172	5.84789	-0.116164
111	5.64262	5.79205	-0.149434
112	5.57101	5.6951	-0.124086
113	5.57405	5.63644	-0.0623863
114	5.74652	5.82419	-0.0776672
115	5.65003	5.76781	-0.117777
116	5.53181	5.68113	-0.149326
117	5.52266	5.63371	-0.111054
118	5.50736	5.5844	-0.0770381
119	5.74524	5.65877	0.0864748
120	5.80874	5.66592	0.142824
121	6.10122	5.85403	0.247186
122	6.23754	5.87826	0.35928
123	6.24514	5.82243	0.42271
124	6.22733	5.72548	0.501851
125	6.18043	5.66682	0.513614
126	6.25824	5.85457	0.403675
127	6.23402	5.79818	0.435834
128	6.13275	5.71151	0.421237
129	6.00586	5.66409	0.341769
130	5.92693	5.61478	0.312149
131	5.93622	5.68915	0.247069
132	6.00832	5.6963	0.312026
133	6.14804	5.88441	0.263634
134	6.15231	5.90864	0.243667
135	6.06332	5.8528	0.210516
136	5.87437	5.75585	0.118516
137	5.80724	5.69719	0.110047
138	5.93489	5.88494	0.0499502
139	5.88749	5.82856	0.0589308
140	5.81323	5.74189	0.0713474
141	5.76676	5.69447	0.0722886
142	5.77796	5.64515	0.132808
143	5.89605	5.71952	0.176531
144	5.86392	5.72667	0.137243
145	6.02078	5.91478	0.105997
146	5.96255	5.93902	0.0235335
147	6.03165	5.88318	0.148465
148	5.88805	5.78623	0.101816
149	5.82305	5.72757	0.095475
150	6.03357	5.91532	0.118245
151	5.96204	5.85894	0.103097
152	5.91647	5.77226	0.144207
153	5.80363	5.72485	0.0787821
154	5.86845	5.67553	0.192918
155	5.98318	5.7499	0.23328
156	6.10256	5.75705	0.345509
157	6.27946	5.94516	0.334298
158	6.33753	5.96939	0.368139
159	6.29582	5.91356	0.382261
160	6.19175	5.81661	0.375142
161	6.14654	5.75795	0.388595
162	6.27533	5.9457	0.329629
163	6.20678	5.88932	0.317462
164	6.09582	5.80264	0.293183
165	5.99993	5.75522	0.244706
166	5.95661	5.70591	0.250706
167	5.9766	5.78028	0.196327
168	6.00166	5.78743	0.214236
169	6.13578	5.97554	0.160243
170	6.10502	5.99977	0.105245
171	6.06912	5.94394	0.125184
172	5.95661	5.84698	0.10963
173	5.97939	5.78832	0.191067
174	6.04477	5.97608	0.0686931
175	5.94777	5.91969	0.0280814
176	5.95116	5.83302	0.118145
177	5.84499	5.7856	0.0593928
178	5.77889	5.73629	0.0426045
179	5.92051	5.81065	0.109851
180	5.92959	5.8178	0.111785
181	6.13708	6.00592	0.131164
182	6.18826	6.03015	0.158116
183	6.09627	5.97431	0.121962
184	5.98971	5.87736	0.112352
185	5.97863	5.8187	0.159931
186	6.12118	6.00645	0.114724
187	6.02587	5.95007	0.0757965
188	5.92826	5.8634	0.064863
189	5.84932	5.81598	0.0333478
190	5.82718	5.76666	0.0605168
191	5.95532	5.84103	0.114287
192	5.93701	5.84818	0.0888274
193	6.11324	6.03629	0.0769475
194	6.10054	6.06053	0.0400178
195	6.04619	6.00469	0.0414999
196	5.9483	5.90774	0.0405576
197	5.8659	5.84908	0.0168222
198	6.09875	6.03683	0.0619189
199	5.90672	5.98045	-0.0737232
200	5.8724	5.89377	-0.0213731
201	5.78751	5.84635	-0.0588433
202	5.7677	5.79704	-0.0293438
203	5.80453	5.87141	-0.0668766
204	5.83159	5.87856	-0.0469688
205	5.9766	6.06667	-0.0900645
206	6.03357	6.0909	-0.0573367
207	5.91323	6.03507	-0.121834
208	5.85564	5.93812	-0.0824707
209	5.77269	5.87946	-0.10677
210	6.00561	6.06721	-0.0615924
211	5.83744	6.01082	-0.173385
212	5.75732	5.92415	-0.166826
213	5.64968	5.87673	-0.227053
214	5.60175	5.82742	-0.225667
215	5.66573	5.90179	-0.236052
216	5.63049	5.90894	-0.27844
217	5.78198	6.09705	-0.315069
218	5.73947	6.12128	-0.381808
219	5.70044	6.06544	-0.365
220	5.60947	5.96849	-0.359021
221	5.63229	5.90983	-0.277547
222	5.88388	6.09758	-0.213704
223	5.72031	6.0412	-0.320889
224	5.64226	5.95453	-0.312265
225	5.52266	5.90711	-0.384448
226	5.50736	5.85779	-0.350432
227	5.55257	5.93216	-0.379591
228	5.58537	5.93931	-0.353938
229	5.75543	6.12742	-0.371998
230	5.76331	6.15166	-0.388348
231	5.68833	6.09582	-0.40749
232	5.585	5.99887	-0.413871
233	5.50452	5.94021	-0.435692
234	5.89385	6.12796	-0.234109
235	5.78352	6.07158	-0.28806
236	5.68426	5.9849	-0.300644
237	5.66816	5.93749	-0.26933
238	5.68765	5.88817	-0.200518
239	5.67091	5.96254	-0.291625
240	5.6058	5.96969	-0.363887
241	5.72815	6.1578	-0.429651
242	5.79515	6.18203	-0.386888
243	5.67983	6.1262	-0.446367
244	5.51785	6.02925	-0.511392
245	5.43982	5.97059	-0.53077
246	5.89026	6.15834	-0.268076
247	5.77362	6.10195	-0.328335
248	5.62474	6.01528	-0.390542
249	5.56337	5.96786	-0.404492
250	5.52545	5.91855	-0.393095
251	5.55141	5.99292	-0.441509
252	5.48811	6.00007	-0.511955
253	5.66122	6.18818	-0.526955
254	5.67778	6.21241	-0.53463
255	5.61568	6.15657	-0.540895
256	5.53812	6.05962	-0.521502
257	5.43808	6.00096	-0.562885
258	5.826	6.18871	-0.362715
259	5.76268	6.13233	-0.369652
260	5.65948	6.04566	-0.386176
261	5.68968	5.99824	-0.308556
262	5.64897	5.94892	-0.299951
263	5.60212	6.02329	-0.421176
264	5.57101	6.03044	-0.459431
265	5.83071	6.21855	-0.387846
266	5.93859	6.24279	-0.304197
267	5.92238	6.18695	-0.26457
268	5.87268	6.09	-0.21732
269	5.82423	6.03134	-0.207113
270	6.14612	6.21909	-0.0729766
271	6.11147	6.16271	-0.0512416
272	6.04501	6.07603	-0.0310297
273	6.06192	6.02862	0.0333066
274	6.0542	5.9793	0.0749026
275	6.13275	6.05367	0.0790756
276	6.13902	6.06082	0.0782017
277	6.29416	6.24893	0.0452268
278	6.29932	6.27316	0.026152
279	6.24901	6.21733	0.0316805
280	6.15146	6.12038	0.0310774
281	6.08541	6.06172	0.0236915
282	6.3081	6.24947	0.0586296
283	6.27852	6.19309	0.0854354
284	6.22673	6.10641	0.120322
285	6.18208	6.05899	0.123091
286	6.12468	6.00968	0.115004
287	6.17691	6.08405	0.0928577
288	6.15167	6.0912	0.0604708
289	6.30024	6.27931	0.0209265
290	6.29379	6.30354	-0.009753
291	6.25671	6.24771	0.00900317
292	6.15209	6.15075	0.0013392
293	6.07397	6.0921	-0.0181299
294	6.29637	6.27985	0.0165265
295	6.24862	6.22346	0.0251599
296	6.18559	6.13679	0.048802
297	6.14376	6.08937	0.0543858
298	6.10256	6.04006	0.0625025
299	6.05585	6.11443	-0.0585788
300	6.02005	6.12157	-0.101523
301	6.1474	6.30969	-0.162286
302	6.18312	6.33392	-0.150802
303	6.11191	6.27808	-0.166172
304	6.03404	6.18113	-0.147087
305	5.93991	6.12247	-0.182565
306	6.18353	6.31022	-0.126693
307	6.1203	6.25384	-0.133543
308	6.04216	6.16717	-0.125009
309	6.03189	6.11975	-0.0878612
310	5.93039	6.07043	-0.140047
311	6.00537	6.1448	-0.139435
312	6.00586	6.15195	-0.146091
313	6.21621	6.34006	-0.123856
314	6.24222	6.3643	-0.122073
315	6.16437	6.30846	-0.144093
316	6.06402	6.21151	-0.147491
317	6.02683	6.15285	-0.126018
318	6.28786	6.3406	-0.0527415
319	6.2653	6.28422	-0.018916
320	6.19134	6.19754	-0.00620378
321	6.25421	6.15012	0.104089
322	6.22337	6.10081	0.122559
323	6.343	6.17518	0.167822
324	6.41444	6.18233	0.232113
325	6.70686	6.37044	0.336422
326	6.72251	6.39467	0.327836
327	6.72851	6.33884	0.389672
328	6.66185	6.24189	0.419969
329	6.63634	6.18323	0.453113
330	6.75332	6.37098	0.382344
331	6.7104	6.31459	0.395807
332	6.64587	6.22792	0.417951
333	6.623	6.1805	0.4425
334	6.58534	6.13119	0.454156
335	6.58355	6.20556	0.377991
336	6.57856	6.21271	0.365851
337	6.70613	6.40082	0.305312
338	6.68873	6.42505	0.263678
339	6.6234	6.36921	0.254187
340	6.53524	6.27226	0.262978
341	6.44635	6.2136	0.232751
342	6.64053	6.40135	0.239175
343	6.63029	6.34497	0.285316
344	6.59605	6.2583	0.337756
345	6.55479	6.21088	0.343909
346	6.52693	6.16156	0.36537
347	6.56456	6.23593	0.328627
348	6.55422	6.24308	0.311135
349	6.66543	6.43119	0.234235
350	6.69814	6.45543	0.242718
351	6.62751	6.39959	0.227921
352	6.48738	6.30264	0.184739
353	6.42178	6.24398	0.177804
354	6.61379	6.43173	0.182056
355	6.54262	6.37535	0.167268
356	6.51575	6.28867	0.227075
357	6.46723	6.24126	0.225977
358	6.4331	6.19194	0.241159
359	6.45299	6.26631	0.186684
360	6.37673	6.27346	0.103267
361	6.53626	6.46157	0.0746857
362	6.51308	6.4858	0.0272774
363	6.47374	6.42997	0.0437678
364	6.34353	6.33302	0.0105115
365	6.30207	6.27436	0.0277113
366	6.44984	6.46211	-0.01227
367	6.46739	6.40573	0.0616626
368	6.38536	6.31905	0.0663115
369	6.36251	6.27163	0.0908777
370	6.30262	6.22232	0.0803004
371	6.3331	6.29669	0.036414
372	6.35001	6.30384	0.0461757

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	0.00162195	0.00324391	0.998378
17	0.0319232	0.0638464	0.968077
18	0.0203921	0.0407842	0.979608
19	0.0213206	0.0426413	0.978679
20	0.0144874	0.0289748	0.985513
21	0.00887049	0.017741	0.99113
22	0.0173802	0.0347604	0.98262
23	0.00959879	0.0191976	0.990401
24	0.00477452	0.00954903	0.995225
25	0.00312204	0.00624408	0.996878
26	0.00371844	0.00743687	0.996282
27	0.00488785	0.00977571	0.995112
28	0.00880339	0.0176068	0.991197
29	0.0155661	0.0311321	0.984434
30	0.027204	0.0544081	0.972796
31	0.059959	0.119918	0.940041
32	0.152544	0.305089	0.847456
33	0.227823	0.455646	0.772177
34	0.365615	0.73123	0.634385
35	0.423114	0.846229	0.576886
36	0.480285	0.960569	0.519715
37	0.580998	0.838003	0.419002
38	0.723315	0.55337	0.276685
39	0.812219	0.375562	0.187781
40	0.884973	0.230055	0.115027
41	0.925778	0.148443	0.0742217
42	0.940911	0.118177	0.0590887
43	0.953266	0.0934673	0.0467337
44	0.960878	0.078244	0.039122
45	0.958311	0.0833771	0.0416885
46	0.953223	0.093554	0.046777
47	0.944404	0.111193	0.0555964
48	0.943699	0.112602	0.0563009
49	0.934243	0.131513	0.0657567
50	0.925176	0.149648	0.0748238
51	0.922119	0.155762	0.077881
52	0.915127	0.169746	0.0848732
53	0.903127	0.193746	0.096873
54	0.891757	0.216485	0.108243
55	0.875372	0.249255	0.124628
56	0.854658	0.290684	0.145342
57	0.836758	0.326484	0.163242
58	0.827	0.345999	0.173
59	0.817991	0.364018	0.182009
60	0.815008	0.369984	0.184992
61	0.791633	0.416733	0.208367
62	0.780525	0.43895	0.219475
63	0.769059	0.461882	0.230941
64	0.748848	0.502304	0.251152
65	0.738622	0.522757	0.261378
66	0.737671	0.524657	0.262329
67	0.733998	0.532004	0.266002
68	0.734952	0.530096	0.265048
69	0.719622	0.560757	0.280378
70	0.705903	0.588194	0.294097
71	0.697737	0.604525	0.302263
72	0.717078	0.565844	0.282922
73	0.809518	0.380964	0.190482
74	0.887576	0.224848	0.112424
75	0.947681	0.104637	0.0523185
76	0.979135	0.0417298	0.0208649
77	0.992308	0.0153836	0.0076918
78	0.9953	0.00939902	0.00469951
79	0.997026	0.00594862	0.00297431
80	0.998361	0.00327889	0.00163944
81	0.999131	0.00173709	0.000868543
82	0.99939	0.00121902	0.00060951
83	0.999498	0.00100458	0.000502288
84	0.999513	0.00097402	0.00048701
85	0.999504	0.000992573	0.000496286
86	0.999417	0.00116575	0.000582876
87	0.999299	0.0014011	0.000700548
88	0.999211	0.00157871	0.000789354
89	0.999005	0.0019905	0.000995248
90	0.998727	0.00254534	0.00127267
91	0.998339	0.00332165	0.00166082
92	0.997872	0.00425567	0.00212784
93	0.997269	0.00546277	0.00273139
94	0.996603	0.00679476	0.00339738
95	0.995754	0.00849185	0.00424593
96	0.994718	0.010563	0.00528151
97	0.993335	0.0133291	0.00666456
98	0.991605	0.0167896	0.00839479
99	0.989615	0.0207691	0.0103846
100	0.9871	0.0258004	0.0129002
101	0.984704	0.0305912	0.0152956
102	0.98208	0.0358402	0.0179201
103	0.978488	0.0430232	0.0215116
104	0.97437	0.0512591	0.0256296
105	0.969905	0.06019	0.030095
106	0.965513	0.0689741	0.0344871
107	0.959564	0.0808721	0.0404361
108	0.952723	0.0945549	0.0472774
109	0.944471	0.111059	0.0555293
110	0.93515	0.129699	0.0648496
111	0.925339	0.149322	0.0746609
112	0.913922	0.172157	0.0860784
113	0.901037	0.197927	0.0989633
114	0.888887	0.222227	0.111113
115	0.874366	0.251268	0.125634
116	0.859978	0.280044	0.140022
117	0.843845	0.312309	0.156155
118	0.828944	0.342111	0.171056
119	0.819744	0.360511	0.180256
120	0.815013	0.369974	0.184987
121	0.822928	0.354144	0.177072
122	0.849711	0.300578	0.150289
123	0.885067	0.229866	0.114933
124	0.924697	0.150607	0.0753035
125	0.953588	0.0928236	0.0464118
126	0.966374	0.0672529	0.0336265
127	0.976578	0.0468444	0.0234222
128	0.983709	0.0325823	0.0162911
129	0.986403	0.0271948	0.0135974
130	0.988266	0.0234686	0.0117343
131	0.988189	0.0236229	0.0118114
132	0.989176	0.0216475	0.0108237
133	0.989083	0.021835	0.0109175
134	0.988656	0.0226886	0.0113443
135	0.987752	0.0244965	0.0122483
136	0.985731	0.028538	0.014269
137	0.983358	0.0332836	0.0166418
138	0.980072	0.0398565	0.0199282
139	0.976353	0.0472941	0.023647
140	0.972188	0.0556238	0.0278119
141	0.967453	0.0650945	0.0325472
142	0.963488	0.0730231	0.0365116
143	0.960262	0.0794768	0.0397384
144	0.955536	0.0889271	0.0444635
145	0.949748	0.100505	0.0502524
146	0.942381	0.115238	0.0576189
147	0.936969	0.126062	0.063031
148	0.929716	0.140568	0.0702838
149	0.921638	0.156725	0.0783624
150	0.913135	0.173731	0.0868653
151	0.903544	0.192912	0.096456
152	0.895341	0.209319	0.104659
153	0.883203	0.233593	0.116797
154	0.878151	0.243699	0.121849
155	0.877167	0.245667	0.122833
156	0.891064	0.217872	0.108936
157	0.903031	0.193938	0.0969688
158	0.91899	0.16202	0.0810099
159	0.935321	0.129357	0.0646785
160	0.949119	0.101761	0.0508807
161	0.962082	0.0758356	0.0379178
162	0.968457	0.0630861	0.031543
163	0.973916	0.0521685	0.0260843
164	0.977636	0.0447271	0.0223636
165	0.979394	0.0412121	0.0206061
166	0.981257	0.0374867	0.0187434
167	0.982106	0.0357884	0.0178942
168	0.983865	0.0322708	0.0161354
169	0.984785	0.0304291	0.0152145
170	0.985042	0.0299159	0.0149579
171	0.985814	0.0283713	0.0141857
172	0.986471	0.0270578	0.0135289
173	0.988582	0.022835	0.0114175
174	0.987962	0.0240761	0.012038
175	0.987313	0.0253732	0.0126866
176	0.987548	0.0249047	0.0124524
177	0.986949	0.0261027	0.0130514
178	0.985989	0.0280223	0.0140111
179	0.986657	0.0266858	0.0133429
180	0.987866	0.024267	0.0121335
181	0.989685	0.0206302	0.0103151
182	0.991921	0.0161578	0.00807888
183	0.993507	0.0129866	0.00649332
184	0.994837	0.0103258	0.00516289
185	0.996441	0.00711881	0.0035594
186	0.996961	0.00607891	0.00303946
187	0.997374	0.0052526	0.0026263
188	0.997662	0.00467559	0.0023378
189	0.997788	0.00442376	0.00221188
190	0.997972	0.00405671	0.00202835
191	0.998534	0.00293248	0.00146624
192	0.998981	0.00203836	0.00101918
193	0.999327	0.00134528	0.00067264
194	0.999544	0.000911707	0.000455853
195	0.999711	0.000578348	0.000289174
196	0.999826	0.000347985	0.000173993
197	0.999896	0.000207731	0.000103865
198	0.999932	0.000135094	6.7547e-05
199	0.999942	0.000115013	5.75066e-05
200	0.999955	8.93683e-05	4.46841e-05
201	0.999961	7.81503e-05	3.90751e-05
202	0.999967	6.51932e-05	3.25966e-05
203	0.999975	4.94069e-05	2.47035e-05
204	0.999985	3.09985e-05	1.54993e-05
205	0.99999	2.03902e-05	1.01951e-05
206	0.999994	1.1258e-05	5.62902e-06
207	0.999996	7.17062e-06	3.58531e-06
208	0.999998	3.82945e-06	1.91472e-06
209	0.999999	2.07186e-06	1.03593e-06
210	0.999999	1.3385e-06	6.69248e-07
211	0.999999	1.14281e-06	5.71403e-07
212	0.999999	1.00015e-06	5.00074e-07
213	0.999999	1.03035e-06	5.15174e-07
214	0.999999	1.10492e-06	5.52459e-07
215	0.999999	1.02223e-06	5.11116e-07
216	1	9.05387e-07	4.52694e-07
217	1	8.03613e-07	4.01807e-07
218	1	6.90493e-07	3.45246e-07
219	1	6.17207e-07	3.08603e-07
220	1	5.6041e-07	2.80205e-07
221	1	4.89758e-07	2.44879e-07
222	1	5.11922e-07	2.55961e-07
223	1	5.80788e-07	2.90394e-07
224	1	6.82703e-07	3.41352e-07
225	1	7.72828e-07	3.86414e-07
226	1	9.44472e-07	4.72236e-07
227	0.999999	1.06487e-06	5.32436e-07
228	0.999999	1.19898e-06	5.99492e-07
229	0.999999	1.33218e-06	6.6609e-07
230	0.999999	1.46962e-06	7.3481e-07
231	0.999999	1.60171e-06	8.00856e-07
232	0.999999	1.74803e-06	8.74014e-07
233	0.999999	1.8533e-06	9.2665e-07
234	0.999999	2.35639e-06	1.1782e-06
235	0.999998	3.12931e-06	1.56466e-06
236	0.999998	4.21094e-06	2.10547e-06
237	0.999997	5.86621e-06	2.9331e-06
238	0.999996	7.98524e-06	3.99262e-06
239	0.999995	1.06319e-05	5.31595e-06
240	0.999993	1.33877e-05	6.69385e-06
241	0.999992	1.51386e-05	7.56931e-06
242	0.999991	1.85977e-05	9.29886e-06
243	0.99999	2.04995e-05	1.02497e-05
244	0.999991	1.87856e-05	9.39282e-06
245	0.999992	1.62859e-05	8.14297e-06
246	0.999989	2.28339e-05	1.1417e-05
247	0.999985	3.07733e-05	1.53867e-05
248	0.999982	3.64635e-05	1.82317e-05
249	0.99998	3.93163e-05	1.96581e-05
250	0.999978	4.30365e-05	2.15182e-05
251	0.999978	4.36739e-05	2.1837e-05
252	0.999982	3.5041e-05	1.75205e-05
253	0.999988	2.44546e-05	1.22273e-05
254	0.999992	1.6188e-05	8.094e-06
255	0.999995	9.64699e-06	4.8235e-06
256	0.999997	6.03976e-06	3.01988e-06
257	0.999999	2.80161e-06	1.40081e-06
258	0.999998	3.06782e-06	1.53391e-06
259	0.999998	3.00464e-06	1.50232e-06
260	0.999999	2.40475e-06	1.20238e-06
261	0.999999	2.33013e-06	1.16507e-06
262	0.999999	2.22384e-06	1.11192e-06
263	0.999999	1.25261e-06	6.26305e-07
264	1	5.25155e-07	2.62577e-07
265	1	3.18932e-07	1.59466e-07
266	1	3.14388e-07	1.57194e-07
267	1	3.50487e-07	1.75243e-07
268	1	4.57359e-07	2.2868e-07
269	1	6.11841e-07	3.0592e-07
270	1	9.63163e-07	4.81581e-07
271	0.999999	1.48853e-06	7.44265e-07
272	0.999999	2.24652e-06	1.12326e-06
273	0.999998	3.27213e-06	1.63607e-06
274	0.999998	4.5498e-06	2.2749e-06
275	0.999997	6.07924e-06	3.03962e-06
276	0.999996	7.94892e-06	3.97446e-06
277	0.999994	1.11755e-05	5.58774e-06
278	0.999992	1.59221e-05	7.96103e-06
279	0.999989	2.2487e-05	1.12435e-05
280	0.999984	3.15089e-05	1.57545e-05
281	0.999978	4.43171e-05	2.21585e-05
282	0.999971	5.88283e-05	2.94141e-05
283	0.999962	7.56695e-05	3.78347e-05
284	0.999954	9.29363e-05	4.64682e-05
285	0.999941	0.000117758	5.88792e-05
286	0.999924	0.000151466	7.57332e-05
287	0.999904	0.000192374	9.61871e-05
288	0.999873	0.00025437	0.000127185
289	0.99982	0.000359333	0.000179666
290	0.999743	0.000514767	0.000257384
291	0.999639	0.000722231	0.000361115
292	0.999494	0.0010114	0.000505702
293	0.999287	0.00142622	0.000713112
294	0.999026	0.00194714	0.000973569
295	0.998673	0.00265481	0.00132741
296	0.998216	0.00356866	0.00178433
297	0.997602	0.00479627	0.00239814
298	0.99681	0.00637978	0.00318989
299	0.995726	0.00854877	0.00427439
300	0.994462	0.0110763	0.00553817
301	0.993782	0.0124364	0.00621821
302	0.992755	0.0144906	0.00724529
303	0.992002	0.0159966	0.00799828
304	0.990867	0.0182651	0.00913254
305	0.990593	0.0188138	0.00940688
306	0.989282	0.0214357	0.0107178
307	0.988876	0.0222481	0.0111241
308	0.989375	0.0212503	0.0106252
309	0.99019	0.0196203	0.00981014
310	0.993088	0.0138237	0.00691184
311	0.995059	0.00988144	0.00494072
312	0.996896	0.00620748	0.00310374
313	0.998277	0.00344599	0.001723
314	0.999089	0.00182133	0.000910666
315	0.999705	0.000589741	0.00029487
316	0.999937	0.00012639	6.31952e-05
317	0.999992	1.64593e-05	8.22964e-06
318	0.999998	3.30479e-06	1.6524e-06
319	1	3.26193e-07	1.63097e-07
320	1	4.4824e-09	2.2412e-09
321	1	6.47649e-11	3.23824e-11
322	1	3.15261e-14	1.57631e-14
323	1	4.0361e-18	2.01805e-18
324	1	9.67335e-23	4.83667e-23
325	1	3.24935e-23	1.62468e-23
326	1	1.78994e-23	8.94968e-24
327	1	9.14787e-23	4.57394e-23
328	1	4.4819e-22	2.24095e-22
329	1	5.07527e-22	2.53763e-22
330	1	3.35697e-21	1.67849e-21
331	1	2.23899e-20	1.1195e-20
332	1	1.16896e-19	5.84479e-20
333	1	7.29177e-19	3.64589e-19
334	1	4.6007e-18	2.30035e-18
335	1	1.58971e-17	7.94853e-18
336	1	7.98761e-17	3.9938e-17
337	1	4.1041e-16	2.05205e-16
338	1	1.05312e-15	5.26561e-16
339	1	1.30081e-15	6.50403e-16
340	1	7.35559e-15	3.6778e-15
341	1	8.64836e-15	4.32418e-15
342	1	2.2228e-14	1.1114e-14
343	1	8.98908e-14	4.49454e-14
344	1	6.13888e-13	3.06944e-13
345	1	3.14426e-12	1.57213e-12
346	1	2.44151e-11	1.22075e-11
347	1	2.20837e-10	1.10418e-10
348	1	2.08808e-09	1.04404e-09
349	1	1.92281e-08	9.61407e-09
350	1	5.55278e-08	2.77639e-08
351	1	3.47799e-07	1.739e-07
352	0.999999	2.49432e-06	1.24716e-06
353	0.999989	2.28877e-05	1.14438e-05
354	0.99996	8.04724e-05	4.02362e-05
355	0.99966	0.000680376	0.000340188
356	0.997426	0.00514817	0.00257409

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.00162195 & 0.00324391 & 0.998378 \tabularnewline
17 & 0.0319232 & 0.0638464 & 0.968077 \tabularnewline
18 & 0.0203921 & 0.0407842 & 0.979608 \tabularnewline
19 & 0.0213206 & 0.0426413 & 0.978679 \tabularnewline
20 & 0.0144874 & 0.0289748 & 0.985513 \tabularnewline
21 & 0.00887049 & 0.017741 & 0.99113 \tabularnewline
22 & 0.0173802 & 0.0347604 & 0.98262 \tabularnewline
23 & 0.00959879 & 0.0191976 & 0.990401 \tabularnewline
24 & 0.00477452 & 0.00954903 & 0.995225 \tabularnewline
25 & 0.00312204 & 0.00624408 & 0.996878 \tabularnewline
26 & 0.00371844 & 0.00743687 & 0.996282 \tabularnewline
27 & 0.00488785 & 0.00977571 & 0.995112 \tabularnewline
28 & 0.00880339 & 0.0176068 & 0.991197 \tabularnewline
29 & 0.0155661 & 0.0311321 & 0.984434 \tabularnewline
30 & 0.027204 & 0.0544081 & 0.972796 \tabularnewline
31 & 0.059959 & 0.119918 & 0.940041 \tabularnewline
32 & 0.152544 & 0.305089 & 0.847456 \tabularnewline
33 & 0.227823 & 0.455646 & 0.772177 \tabularnewline
34 & 0.365615 & 0.73123 & 0.634385 \tabularnewline
35 & 0.423114 & 0.846229 & 0.576886 \tabularnewline
36 & 0.480285 & 0.960569 & 0.519715 \tabularnewline
37 & 0.580998 & 0.838003 & 0.419002 \tabularnewline
38 & 0.723315 & 0.55337 & 0.276685 \tabularnewline
39 & 0.812219 & 0.375562 & 0.187781 \tabularnewline
40 & 0.884973 & 0.230055 & 0.115027 \tabularnewline
41 & 0.925778 & 0.148443 & 0.0742217 \tabularnewline
42 & 0.940911 & 0.118177 & 0.0590887 \tabularnewline
43 & 0.953266 & 0.0934673 & 0.0467337 \tabularnewline
44 & 0.960878 & 0.078244 & 0.039122 \tabularnewline
45 & 0.958311 & 0.0833771 & 0.0416885 \tabularnewline
46 & 0.953223 & 0.093554 & 0.046777 \tabularnewline
47 & 0.944404 & 0.111193 & 0.0555964 \tabularnewline
48 & 0.943699 & 0.112602 & 0.0563009 \tabularnewline
49 & 0.934243 & 0.131513 & 0.0657567 \tabularnewline
50 & 0.925176 & 0.149648 & 0.0748238 \tabularnewline
51 & 0.922119 & 0.155762 & 0.077881 \tabularnewline
52 & 0.915127 & 0.169746 & 0.0848732 \tabularnewline
53 & 0.903127 & 0.193746 & 0.096873 \tabularnewline
54 & 0.891757 & 0.216485 & 0.108243 \tabularnewline
55 & 0.875372 & 0.249255 & 0.124628 \tabularnewline
56 & 0.854658 & 0.290684 & 0.145342 \tabularnewline
57 & 0.836758 & 0.326484 & 0.163242 \tabularnewline
58 & 0.827 & 0.345999 & 0.173 \tabularnewline
59 & 0.817991 & 0.364018 & 0.182009 \tabularnewline
60 & 0.815008 & 0.369984 & 0.184992 \tabularnewline
61 & 0.791633 & 0.416733 & 0.208367 \tabularnewline
62 & 0.780525 & 0.43895 & 0.219475 \tabularnewline
63 & 0.769059 & 0.461882 & 0.230941 \tabularnewline
64 & 0.748848 & 0.502304 & 0.251152 \tabularnewline
65 & 0.738622 & 0.522757 & 0.261378 \tabularnewline
66 & 0.737671 & 0.524657 & 0.262329 \tabularnewline
67 & 0.733998 & 0.532004 & 0.266002 \tabularnewline
68 & 0.734952 & 0.530096 & 0.265048 \tabularnewline
69 & 0.719622 & 0.560757 & 0.280378 \tabularnewline
70 & 0.705903 & 0.588194 & 0.294097 \tabularnewline
71 & 0.697737 & 0.604525 & 0.302263 \tabularnewline
72 & 0.717078 & 0.565844 & 0.282922 \tabularnewline
73 & 0.809518 & 0.380964 & 0.190482 \tabularnewline
74 & 0.887576 & 0.224848 & 0.112424 \tabularnewline
75 & 0.947681 & 0.104637 & 0.0523185 \tabularnewline
76 & 0.979135 & 0.0417298 & 0.0208649 \tabularnewline
77 & 0.992308 & 0.0153836 & 0.0076918 \tabularnewline
78 & 0.9953 & 0.00939902 & 0.00469951 \tabularnewline
79 & 0.997026 & 0.00594862 & 0.00297431 \tabularnewline
80 & 0.998361 & 0.00327889 & 0.00163944 \tabularnewline
81 & 0.999131 & 0.00173709 & 0.000868543 \tabularnewline
82 & 0.99939 & 0.00121902 & 0.00060951 \tabularnewline
83 & 0.999498 & 0.00100458 & 0.000502288 \tabularnewline
84 & 0.999513 & 0.00097402 & 0.00048701 \tabularnewline
85 & 0.999504 & 0.000992573 & 0.000496286 \tabularnewline
86 & 0.999417 & 0.00116575 & 0.000582876 \tabularnewline
87 & 0.999299 & 0.0014011 & 0.000700548 \tabularnewline
88 & 0.999211 & 0.00157871 & 0.000789354 \tabularnewline
89 & 0.999005 & 0.0019905 & 0.000995248 \tabularnewline
90 & 0.998727 & 0.00254534 & 0.00127267 \tabularnewline
91 & 0.998339 & 0.00332165 & 0.00166082 \tabularnewline
92 & 0.997872 & 0.00425567 & 0.00212784 \tabularnewline
93 & 0.997269 & 0.00546277 & 0.00273139 \tabularnewline
94 & 0.996603 & 0.00679476 & 0.00339738 \tabularnewline
95 & 0.995754 & 0.00849185 & 0.00424593 \tabularnewline
96 & 0.994718 & 0.010563 & 0.00528151 \tabularnewline
97 & 0.993335 & 0.0133291 & 0.00666456 \tabularnewline
98 & 0.991605 & 0.0167896 & 0.00839479 \tabularnewline
99 & 0.989615 & 0.0207691 & 0.0103846 \tabularnewline
100 & 0.9871 & 0.0258004 & 0.0129002 \tabularnewline
101 & 0.984704 & 0.0305912 & 0.0152956 \tabularnewline
102 & 0.98208 & 0.0358402 & 0.0179201 \tabularnewline
103 & 0.978488 & 0.0430232 & 0.0215116 \tabularnewline
104 & 0.97437 & 0.0512591 & 0.0256296 \tabularnewline
105 & 0.969905 & 0.06019 & 0.030095 \tabularnewline
106 & 0.965513 & 0.0689741 & 0.0344871 \tabularnewline
107 & 0.959564 & 0.0808721 & 0.0404361 \tabularnewline
108 & 0.952723 & 0.0945549 & 0.0472774 \tabularnewline
109 & 0.944471 & 0.111059 & 0.0555293 \tabularnewline
110 & 0.93515 & 0.129699 & 0.0648496 \tabularnewline
111 & 0.925339 & 0.149322 & 0.0746609 \tabularnewline
112 & 0.913922 & 0.172157 & 0.0860784 \tabularnewline
113 & 0.901037 & 0.197927 & 0.0989633 \tabularnewline
114 & 0.888887 & 0.222227 & 0.111113 \tabularnewline
115 & 0.874366 & 0.251268 & 0.125634 \tabularnewline
116 & 0.859978 & 0.280044 & 0.140022 \tabularnewline
117 & 0.843845 & 0.312309 & 0.156155 \tabularnewline
118 & 0.828944 & 0.342111 & 0.171056 \tabularnewline
119 & 0.819744 & 0.360511 & 0.180256 \tabularnewline
120 & 0.815013 & 0.369974 & 0.184987 \tabularnewline
121 & 0.822928 & 0.354144 & 0.177072 \tabularnewline
122 & 0.849711 & 0.300578 & 0.150289 \tabularnewline
123 & 0.885067 & 0.229866 & 0.114933 \tabularnewline
124 & 0.924697 & 0.150607 & 0.0753035 \tabularnewline
125 & 0.953588 & 0.0928236 & 0.0464118 \tabularnewline
126 & 0.966374 & 0.0672529 & 0.0336265 \tabularnewline
127 & 0.976578 & 0.0468444 & 0.0234222 \tabularnewline
128 & 0.983709 & 0.0325823 & 0.0162911 \tabularnewline
129 & 0.986403 & 0.0271948 & 0.0135974 \tabularnewline
130 & 0.988266 & 0.0234686 & 0.0117343 \tabularnewline
131 & 0.988189 & 0.0236229 & 0.0118114 \tabularnewline
132 & 0.989176 & 0.0216475 & 0.0108237 \tabularnewline
133 & 0.989083 & 0.021835 & 0.0109175 \tabularnewline
134 & 0.988656 & 0.0226886 & 0.0113443 \tabularnewline
135 & 0.987752 & 0.0244965 & 0.0122483 \tabularnewline
136 & 0.985731 & 0.028538 & 0.014269 \tabularnewline
137 & 0.983358 & 0.0332836 & 0.0166418 \tabularnewline
138 & 0.980072 & 0.0398565 & 0.0199282 \tabularnewline
139 & 0.976353 & 0.0472941 & 0.023647 \tabularnewline
140 & 0.972188 & 0.0556238 & 0.0278119 \tabularnewline
141 & 0.967453 & 0.0650945 & 0.0325472 \tabularnewline
142 & 0.963488 & 0.0730231 & 0.0365116 \tabularnewline
143 & 0.960262 & 0.0794768 & 0.0397384 \tabularnewline
144 & 0.955536 & 0.0889271 & 0.0444635 \tabularnewline
145 & 0.949748 & 0.100505 & 0.0502524 \tabularnewline
146 & 0.942381 & 0.115238 & 0.0576189 \tabularnewline
147 & 0.936969 & 0.126062 & 0.063031 \tabularnewline
148 & 0.929716 & 0.140568 & 0.0702838 \tabularnewline
149 & 0.921638 & 0.156725 & 0.0783624 \tabularnewline
150 & 0.913135 & 0.173731 & 0.0868653 \tabularnewline
151 & 0.903544 & 0.192912 & 0.096456 \tabularnewline
152 & 0.895341 & 0.209319 & 0.104659 \tabularnewline
153 & 0.883203 & 0.233593 & 0.116797 \tabularnewline
154 & 0.878151 & 0.243699 & 0.121849 \tabularnewline
155 & 0.877167 & 0.245667 & 0.122833 \tabularnewline
156 & 0.891064 & 0.217872 & 0.108936 \tabularnewline
157 & 0.903031 & 0.193938 & 0.0969688 \tabularnewline
158 & 0.91899 & 0.16202 & 0.0810099 \tabularnewline
159 & 0.935321 & 0.129357 & 0.0646785 \tabularnewline
160 & 0.949119 & 0.101761 & 0.0508807 \tabularnewline
161 & 0.962082 & 0.0758356 & 0.0379178 \tabularnewline
162 & 0.968457 & 0.0630861 & 0.031543 \tabularnewline
163 & 0.973916 & 0.0521685 & 0.0260843 \tabularnewline
164 & 0.977636 & 0.0447271 & 0.0223636 \tabularnewline
165 & 0.979394 & 0.0412121 & 0.0206061 \tabularnewline
166 & 0.981257 & 0.0374867 & 0.0187434 \tabularnewline
167 & 0.982106 & 0.0357884 & 0.0178942 \tabularnewline
168 & 0.983865 & 0.0322708 & 0.0161354 \tabularnewline
169 & 0.984785 & 0.0304291 & 0.0152145 \tabularnewline
170 & 0.985042 & 0.0299159 & 0.0149579 \tabularnewline
171 & 0.985814 & 0.0283713 & 0.0141857 \tabularnewline
172 & 0.986471 & 0.0270578 & 0.0135289 \tabularnewline
173 & 0.988582 & 0.022835 & 0.0114175 \tabularnewline
174 & 0.987962 & 0.0240761 & 0.012038 \tabularnewline
175 & 0.987313 & 0.0253732 & 0.0126866 \tabularnewline
176 & 0.987548 & 0.0249047 & 0.0124524 \tabularnewline
177 & 0.986949 & 0.0261027 & 0.0130514 \tabularnewline
178 & 0.985989 & 0.0280223 & 0.0140111 \tabularnewline
179 & 0.986657 & 0.0266858 & 0.0133429 \tabularnewline
180 & 0.987866 & 0.024267 & 0.0121335 \tabularnewline
181 & 0.989685 & 0.0206302 & 0.0103151 \tabularnewline
182 & 0.991921 & 0.0161578 & 0.00807888 \tabularnewline
183 & 0.993507 & 0.0129866 & 0.00649332 \tabularnewline
184 & 0.994837 & 0.0103258 & 0.00516289 \tabularnewline
185 & 0.996441 & 0.00711881 & 0.0035594 \tabularnewline
186 & 0.996961 & 0.00607891 & 0.00303946 \tabularnewline
187 & 0.997374 & 0.0052526 & 0.0026263 \tabularnewline
188 & 0.997662 & 0.00467559 & 0.0023378 \tabularnewline
189 & 0.997788 & 0.00442376 & 0.00221188 \tabularnewline
190 & 0.997972 & 0.00405671 & 0.00202835 \tabularnewline
191 & 0.998534 & 0.00293248 & 0.00146624 \tabularnewline
192 & 0.998981 & 0.00203836 & 0.00101918 \tabularnewline
193 & 0.999327 & 0.00134528 & 0.00067264 \tabularnewline
194 & 0.999544 & 0.000911707 & 0.000455853 \tabularnewline
195 & 0.999711 & 0.000578348 & 0.000289174 \tabularnewline
196 & 0.999826 & 0.000347985 & 0.000173993 \tabularnewline
197 & 0.999896 & 0.000207731 & 0.000103865 \tabularnewline
198 & 0.999932 & 0.000135094 & 6.7547e-05 \tabularnewline
199 & 0.999942 & 0.000115013 & 5.75066e-05 \tabularnewline
200 & 0.999955 & 8.93683e-05 & 4.46841e-05 \tabularnewline
201 & 0.999961 & 7.81503e-05 & 3.90751e-05 \tabularnewline
202 & 0.999967 & 6.51932e-05 & 3.25966e-05 \tabularnewline
203 & 0.999975 & 4.94069e-05 & 2.47035e-05 \tabularnewline
204 & 0.999985 & 3.09985e-05 & 1.54993e-05 \tabularnewline
205 & 0.99999 & 2.03902e-05 & 1.01951e-05 \tabularnewline
206 & 0.999994 & 1.1258e-05 & 5.62902e-06 \tabularnewline
207 & 0.999996 & 7.17062e-06 & 3.58531e-06 \tabularnewline
208 & 0.999998 & 3.82945e-06 & 1.91472e-06 \tabularnewline
209 & 0.999999 & 2.07186e-06 & 1.03593e-06 \tabularnewline
210 & 0.999999 & 1.3385e-06 & 6.69248e-07 \tabularnewline
211 & 0.999999 & 1.14281e-06 & 5.71403e-07 \tabularnewline
212 & 0.999999 & 1.00015e-06 & 5.00074e-07 \tabularnewline
213 & 0.999999 & 1.03035e-06 & 5.15174e-07 \tabularnewline
214 & 0.999999 & 1.10492e-06 & 5.52459e-07 \tabularnewline
215 & 0.999999 & 1.02223e-06 & 5.11116e-07 \tabularnewline
216 & 1 & 9.05387e-07 & 4.52694e-07 \tabularnewline
217 & 1 & 8.03613e-07 & 4.01807e-07 \tabularnewline
218 & 1 & 6.90493e-07 & 3.45246e-07 \tabularnewline
219 & 1 & 6.17207e-07 & 3.08603e-07 \tabularnewline
220 & 1 & 5.6041e-07 & 2.80205e-07 \tabularnewline
221 & 1 & 4.89758e-07 & 2.44879e-07 \tabularnewline
222 & 1 & 5.11922e-07 & 2.55961e-07 \tabularnewline
223 & 1 & 5.80788e-07 & 2.90394e-07 \tabularnewline
224 & 1 & 6.82703e-07 & 3.41352e-07 \tabularnewline
225 & 1 & 7.72828e-07 & 3.86414e-07 \tabularnewline
226 & 1 & 9.44472e-07 & 4.72236e-07 \tabularnewline
227 & 0.999999 & 1.06487e-06 & 5.32436e-07 \tabularnewline
228 & 0.999999 & 1.19898e-06 & 5.99492e-07 \tabularnewline
229 & 0.999999 & 1.33218e-06 & 6.6609e-07 \tabularnewline
230 & 0.999999 & 1.46962e-06 & 7.3481e-07 \tabularnewline
231 & 0.999999 & 1.60171e-06 & 8.00856e-07 \tabularnewline
232 & 0.999999 & 1.74803e-06 & 8.74014e-07 \tabularnewline
233 & 0.999999 & 1.8533e-06 & 9.2665e-07 \tabularnewline
234 & 0.999999 & 2.35639e-06 & 1.1782e-06 \tabularnewline
235 & 0.999998 & 3.12931e-06 & 1.56466e-06 \tabularnewline
236 & 0.999998 & 4.21094e-06 & 2.10547e-06 \tabularnewline
237 & 0.999997 & 5.86621e-06 & 2.9331e-06 \tabularnewline
238 & 0.999996 & 7.98524e-06 & 3.99262e-06 \tabularnewline
239 & 0.999995 & 1.06319e-05 & 5.31595e-06 \tabularnewline
240 & 0.999993 & 1.33877e-05 & 6.69385e-06 \tabularnewline
241 & 0.999992 & 1.51386e-05 & 7.56931e-06 \tabularnewline
242 & 0.999991 & 1.85977e-05 & 9.29886e-06 \tabularnewline
243 & 0.99999 & 2.04995e-05 & 1.02497e-05 \tabularnewline
244 & 0.999991 & 1.87856e-05 & 9.39282e-06 \tabularnewline
245 & 0.999992 & 1.62859e-05 & 8.14297e-06 \tabularnewline
246 & 0.999989 & 2.28339e-05 & 1.1417e-05 \tabularnewline
247 & 0.999985 & 3.07733e-05 & 1.53867e-05 \tabularnewline
248 & 0.999982 & 3.64635e-05 & 1.82317e-05 \tabularnewline
249 & 0.99998 & 3.93163e-05 & 1.96581e-05 \tabularnewline
250 & 0.999978 & 4.30365e-05 & 2.15182e-05 \tabularnewline
251 & 0.999978 & 4.36739e-05 & 2.1837e-05 \tabularnewline
252 & 0.999982 & 3.5041e-05 & 1.75205e-05 \tabularnewline
253 & 0.999988 & 2.44546e-05 & 1.22273e-05 \tabularnewline
254 & 0.999992 & 1.6188e-05 & 8.094e-06 \tabularnewline
255 & 0.999995 & 9.64699e-06 & 4.8235e-06 \tabularnewline
256 & 0.999997 & 6.03976e-06 & 3.01988e-06 \tabularnewline
257 & 0.999999 & 2.80161e-06 & 1.40081e-06 \tabularnewline
258 & 0.999998 & 3.06782e-06 & 1.53391e-06 \tabularnewline
259 & 0.999998 & 3.00464e-06 & 1.50232e-06 \tabularnewline
260 & 0.999999 & 2.40475e-06 & 1.20238e-06 \tabularnewline
261 & 0.999999 & 2.33013e-06 & 1.16507e-06 \tabularnewline
262 & 0.999999 & 2.22384e-06 & 1.11192e-06 \tabularnewline
263 & 0.999999 & 1.25261e-06 & 6.26305e-07 \tabularnewline
264 & 1 & 5.25155e-07 & 2.62577e-07 \tabularnewline
265 & 1 & 3.18932e-07 & 1.59466e-07 \tabularnewline
266 & 1 & 3.14388e-07 & 1.57194e-07 \tabularnewline
267 & 1 & 3.50487e-07 & 1.75243e-07 \tabularnewline
268 & 1 & 4.57359e-07 & 2.2868e-07 \tabularnewline
269 & 1 & 6.11841e-07 & 3.0592e-07 \tabularnewline
270 & 1 & 9.63163e-07 & 4.81581e-07 \tabularnewline
271 & 0.999999 & 1.48853e-06 & 7.44265e-07 \tabularnewline
272 & 0.999999 & 2.24652e-06 & 1.12326e-06 \tabularnewline
273 & 0.999998 & 3.27213e-06 & 1.63607e-06 \tabularnewline
274 & 0.999998 & 4.5498e-06 & 2.2749e-06 \tabularnewline
275 & 0.999997 & 6.07924e-06 & 3.03962e-06 \tabularnewline
276 & 0.999996 & 7.94892e-06 & 3.97446e-06 \tabularnewline
277 & 0.999994 & 1.11755e-05 & 5.58774e-06 \tabularnewline
278 & 0.999992 & 1.59221e-05 & 7.96103e-06 \tabularnewline
279 & 0.999989 & 2.2487e-05 & 1.12435e-05 \tabularnewline
280 & 0.999984 & 3.15089e-05 & 1.57545e-05 \tabularnewline
281 & 0.999978 & 4.43171e-05 & 2.21585e-05 \tabularnewline
282 & 0.999971 & 5.88283e-05 & 2.94141e-05 \tabularnewline
283 & 0.999962 & 7.56695e-05 & 3.78347e-05 \tabularnewline
284 & 0.999954 & 9.29363e-05 & 4.64682e-05 \tabularnewline
285 & 0.999941 & 0.000117758 & 5.88792e-05 \tabularnewline
286 & 0.999924 & 0.000151466 & 7.57332e-05 \tabularnewline
287 & 0.999904 & 0.000192374 & 9.61871e-05 \tabularnewline
288 & 0.999873 & 0.00025437 & 0.000127185 \tabularnewline
289 & 0.99982 & 0.000359333 & 0.000179666 \tabularnewline
290 & 0.999743 & 0.000514767 & 0.000257384 \tabularnewline
291 & 0.999639 & 0.000722231 & 0.000361115 \tabularnewline
292 & 0.999494 & 0.0010114 & 0.000505702 \tabularnewline
293 & 0.999287 & 0.00142622 & 0.000713112 \tabularnewline
294 & 0.999026 & 0.00194714 & 0.000973569 \tabularnewline
295 & 0.998673 & 0.00265481 & 0.00132741 \tabularnewline
296 & 0.998216 & 0.00356866 & 0.00178433 \tabularnewline
297 & 0.997602 & 0.00479627 & 0.00239814 \tabularnewline
298 & 0.99681 & 0.00637978 & 0.00318989 \tabularnewline
299 & 0.995726 & 0.00854877 & 0.00427439 \tabularnewline
300 & 0.994462 & 0.0110763 & 0.00553817 \tabularnewline
301 & 0.993782 & 0.0124364 & 0.00621821 \tabularnewline
302 & 0.992755 & 0.0144906 & 0.00724529 \tabularnewline
303 & 0.992002 & 0.0159966 & 0.00799828 \tabularnewline
304 & 0.990867 & 0.0182651 & 0.00913254 \tabularnewline
305 & 0.990593 & 0.0188138 & 0.00940688 \tabularnewline
306 & 0.989282 & 0.0214357 & 0.0107178 \tabularnewline
307 & 0.988876 & 0.0222481 & 0.0111241 \tabularnewline
308 & 0.989375 & 0.0212503 & 0.0106252 \tabularnewline
309 & 0.99019 & 0.0196203 & 0.00981014 \tabularnewline
310 & 0.993088 & 0.0138237 & 0.00691184 \tabularnewline
311 & 0.995059 & 0.00988144 & 0.00494072 \tabularnewline
312 & 0.996896 & 0.00620748 & 0.00310374 \tabularnewline
313 & 0.998277 & 0.00344599 & 0.001723 \tabularnewline
314 & 0.999089 & 0.00182133 & 0.000910666 \tabularnewline
315 & 0.999705 & 0.000589741 & 0.00029487 \tabularnewline
316 & 0.999937 & 0.00012639 & 6.31952e-05 \tabularnewline
317 & 0.999992 & 1.64593e-05 & 8.22964e-06 \tabularnewline
318 & 0.999998 & 3.30479e-06 & 1.6524e-06 \tabularnewline
319 & 1 & 3.26193e-07 & 1.63097e-07 \tabularnewline
320 & 1 & 4.4824e-09 & 2.2412e-09 \tabularnewline
321 & 1 & 6.47649e-11 & 3.23824e-11 \tabularnewline
322 & 1 & 3.15261e-14 & 1.57631e-14 \tabularnewline
323 & 1 & 4.0361e-18 & 2.01805e-18 \tabularnewline
324 & 1 & 9.67335e-23 & 4.83667e-23 \tabularnewline
325 & 1 & 3.24935e-23 & 1.62468e-23 \tabularnewline
326 & 1 & 1.78994e-23 & 8.94968e-24 \tabularnewline
327 & 1 & 9.14787e-23 & 4.57394e-23 \tabularnewline
328 & 1 & 4.4819e-22 & 2.24095e-22 \tabularnewline
329 & 1 & 5.07527e-22 & 2.53763e-22 \tabularnewline
330 & 1 & 3.35697e-21 & 1.67849e-21 \tabularnewline
331 & 1 & 2.23899e-20 & 1.1195e-20 \tabularnewline
332 & 1 & 1.16896e-19 & 5.84479e-20 \tabularnewline
333 & 1 & 7.29177e-19 & 3.64589e-19 \tabularnewline
334 & 1 & 4.6007e-18 & 2.30035e-18 \tabularnewline
335 & 1 & 1.58971e-17 & 7.94853e-18 \tabularnewline
336 & 1 & 7.98761e-17 & 3.9938e-17 \tabularnewline
337 & 1 & 4.1041e-16 & 2.05205e-16 \tabularnewline
338 & 1 & 1.05312e-15 & 5.26561e-16 \tabularnewline
339 & 1 & 1.30081e-15 & 6.50403e-16 \tabularnewline
340 & 1 & 7.35559e-15 & 3.6778e-15 \tabularnewline
341 & 1 & 8.64836e-15 & 4.32418e-15 \tabularnewline
342 & 1 & 2.2228e-14 & 1.1114e-14 \tabularnewline
343 & 1 & 8.98908e-14 & 4.49454e-14 \tabularnewline
344 & 1 & 6.13888e-13 & 3.06944e-13 \tabularnewline
345 & 1 & 3.14426e-12 & 1.57213e-12 \tabularnewline
346 & 1 & 2.44151e-11 & 1.22075e-11 \tabularnewline
347 & 1 & 2.20837e-10 & 1.10418e-10 \tabularnewline
348 & 1 & 2.08808e-09 & 1.04404e-09 \tabularnewline
349 & 1 & 1.92281e-08 & 9.61407e-09 \tabularnewline
350 & 1 & 5.55278e-08 & 2.77639e-08 \tabularnewline
351 & 1 & 3.47799e-07 & 1.739e-07 \tabularnewline
352 & 0.999999 & 2.49432e-06 & 1.24716e-06 \tabularnewline
353 & 0.999989 & 2.28877e-05 & 1.14438e-05 \tabularnewline
354 & 0.99996 & 8.04724e-05 & 4.02362e-05 \tabularnewline
355 & 0.99966 & 0.000680376 & 0.000340188 \tabularnewline
356 & 0.997426 & 0.00514817 & 0.00257409 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224517&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]16[/C][C]0.00162195[/C][C]0.00324391[/C][C]0.998378[/C][/ROW]
[ROW][C]17[/C][C]0.0319232[/C][C]0.0638464[/C][C]0.968077[/C][/ROW]
[ROW][C]18[/C][C]0.0203921[/C][C]0.0407842[/C][C]0.979608[/C][/ROW]
[ROW][C]19[/C][C]0.0213206[/C][C]0.0426413[/C][C]0.978679[/C][/ROW]
[ROW][C]20[/C][C]0.0144874[/C][C]0.0289748[/C][C]0.985513[/C][/ROW]
[ROW][C]21[/C][C]0.00887049[/C][C]0.017741[/C][C]0.99113[/C][/ROW]
[ROW][C]22[/C][C]0.0173802[/C][C]0.0347604[/C][C]0.98262[/C][/ROW]
[ROW][C]23[/C][C]0.00959879[/C][C]0.0191976[/C][C]0.990401[/C][/ROW]
[ROW][C]24[/C][C]0.00477452[/C][C]0.00954903[/C][C]0.995225[/C][/ROW]
[ROW][C]25[/C][C]0.00312204[/C][C]0.00624408[/C][C]0.996878[/C][/ROW]
[ROW][C]26[/C][C]0.00371844[/C][C]0.00743687[/C][C]0.996282[/C][/ROW]
[ROW][C]27[/C][C]0.00488785[/C][C]0.00977571[/C][C]0.995112[/C][/ROW]
[ROW][C]28[/C][C]0.00880339[/C][C]0.0176068[/C][C]0.991197[/C][/ROW]
[ROW][C]29[/C][C]0.0155661[/C][C]0.0311321[/C][C]0.984434[/C][/ROW]
[ROW][C]30[/C][C]0.027204[/C][C]0.0544081[/C][C]0.972796[/C][/ROW]
[ROW][C]31[/C][C]0.059959[/C][C]0.119918[/C][C]0.940041[/C][/ROW]
[ROW][C]32[/C][C]0.152544[/C][C]0.305089[/C][C]0.847456[/C][/ROW]
[ROW][C]33[/C][C]0.227823[/C][C]0.455646[/C][C]0.772177[/C][/ROW]
[ROW][C]34[/C][C]0.365615[/C][C]0.73123[/C][C]0.634385[/C][/ROW]
[ROW][C]35[/C][C]0.423114[/C][C]0.846229[/C][C]0.576886[/C][/ROW]
[ROW][C]36[/C][C]0.480285[/C][C]0.960569[/C][C]0.519715[/C][/ROW]
[ROW][C]37[/C][C]0.580998[/C][C]0.838003[/C][C]0.419002[/C][/ROW]
[ROW][C]38[/C][C]0.723315[/C][C]0.55337[/C][C]0.276685[/C][/ROW]
[ROW][C]39[/C][C]0.812219[/C][C]0.375562[/C][C]0.187781[/C][/ROW]
[ROW][C]40[/C][C]0.884973[/C][C]0.230055[/C][C]0.115027[/C][/ROW]
[ROW][C]41[/C][C]0.925778[/C][C]0.148443[/C][C]0.0742217[/C][/ROW]
[ROW][C]42[/C][C]0.940911[/C][C]0.118177[/C][C]0.0590887[/C][/ROW]
[ROW][C]43[/C][C]0.953266[/C][C]0.0934673[/C][C]0.0467337[/C][/ROW]
[ROW][C]44[/C][C]0.960878[/C][C]0.078244[/C][C]0.039122[/C][/ROW]
[ROW][C]45[/C][C]0.958311[/C][C]0.0833771[/C][C]0.0416885[/C][/ROW]
[ROW][C]46[/C][C]0.953223[/C][C]0.093554[/C][C]0.046777[/C][/ROW]
[ROW][C]47[/C][C]0.944404[/C][C]0.111193[/C][C]0.0555964[/C][/ROW]
[ROW][C]48[/C][C]0.943699[/C][C]0.112602[/C][C]0.0563009[/C][/ROW]
[ROW][C]49[/C][C]0.934243[/C][C]0.131513[/C][C]0.0657567[/C][/ROW]
[ROW][C]50[/C][C]0.925176[/C][C]0.149648[/C][C]0.0748238[/C][/ROW]
[ROW][C]51[/C][C]0.922119[/C][C]0.155762[/C][C]0.077881[/C][/ROW]
[ROW][C]52[/C][C]0.915127[/C][C]0.169746[/C][C]0.0848732[/C][/ROW]
[ROW][C]53[/C][C]0.903127[/C][C]0.193746[/C][C]0.096873[/C][/ROW]
[ROW][C]54[/C][C]0.891757[/C][C]0.216485[/C][C]0.108243[/C][/ROW]
[ROW][C]55[/C][C]0.875372[/C][C]0.249255[/C][C]0.124628[/C][/ROW]
[ROW][C]56[/C][C]0.854658[/C][C]0.290684[/C][C]0.145342[/C][/ROW]
[ROW][C]57[/C][C]0.836758[/C][C]0.326484[/C][C]0.163242[/C][/ROW]
[ROW][C]58[/C][C]0.827[/C][C]0.345999[/C][C]0.173[/C][/ROW]
[ROW][C]59[/C][C]0.817991[/C][C]0.364018[/C][C]0.182009[/C][/ROW]
[ROW][C]60[/C][C]0.815008[/C][C]0.369984[/C][C]0.184992[/C][/ROW]
[ROW][C]61[/C][C]0.791633[/C][C]0.416733[/C][C]0.208367[/C][/ROW]
[ROW][C]62[/C][C]0.780525[/C][C]0.43895[/C][C]0.219475[/C][/ROW]
[ROW][C]63[/C][C]0.769059[/C][C]0.461882[/C][C]0.230941[/C][/ROW]
[ROW][C]64[/C][C]0.748848[/C][C]0.502304[/C][C]0.251152[/C][/ROW]
[ROW][C]65[/C][C]0.738622[/C][C]0.522757[/C][C]0.261378[/C][/ROW]
[ROW][C]66[/C][C]0.737671[/C][C]0.524657[/C][C]0.262329[/C][/ROW]
[ROW][C]67[/C][C]0.733998[/C][C]0.532004[/C][C]0.266002[/C][/ROW]
[ROW][C]68[/C][C]0.734952[/C][C]0.530096[/C][C]0.265048[/C][/ROW]
[ROW][C]69[/C][C]0.719622[/C][C]0.560757[/C][C]0.280378[/C][/ROW]
[ROW][C]70[/C][C]0.705903[/C][C]0.588194[/C][C]0.294097[/C][/ROW]
[ROW][C]71[/C][C]0.697737[/C][C]0.604525[/C][C]0.302263[/C][/ROW]
[ROW][C]72[/C][C]0.717078[/C][C]0.565844[/C][C]0.282922[/C][/ROW]
[ROW][C]73[/C][C]0.809518[/C][C]0.380964[/C][C]0.190482[/C][/ROW]
[ROW][C]74[/C][C]0.887576[/C][C]0.224848[/C][C]0.112424[/C][/ROW]
[ROW][C]75[/C][C]0.947681[/C][C]0.104637[/C][C]0.0523185[/C][/ROW]
[ROW][C]76[/C][C]0.979135[/C][C]0.0417298[/C][C]0.0208649[/C][/ROW]
[ROW][C]77[/C][C]0.992308[/C][C]0.0153836[/C][C]0.0076918[/C][/ROW]
[ROW][C]78[/C][C]0.9953[/C][C]0.00939902[/C][C]0.00469951[/C][/ROW]
[ROW][C]79[/C][C]0.997026[/C][C]0.00594862[/C][C]0.00297431[/C][/ROW]
[ROW][C]80[/C][C]0.998361[/C][C]0.00327889[/C][C]0.00163944[/C][/ROW]
[ROW][C]81[/C][C]0.999131[/C][C]0.00173709[/C][C]0.000868543[/C][/ROW]
[ROW][C]82[/C][C]0.99939[/C][C]0.00121902[/C][C]0.00060951[/C][/ROW]
[ROW][C]83[/C][C]0.999498[/C][C]0.00100458[/C][C]0.000502288[/C][/ROW]
[ROW][C]84[/C][C]0.999513[/C][C]0.00097402[/C][C]0.00048701[/C][/ROW]
[ROW][C]85[/C][C]0.999504[/C][C]0.000992573[/C][C]0.000496286[/C][/ROW]
[ROW][C]86[/C][C]0.999417[/C][C]0.00116575[/C][C]0.000582876[/C][/ROW]
[ROW][C]87[/C][C]0.999299[/C][C]0.0014011[/C][C]0.000700548[/C][/ROW]
[ROW][C]88[/C][C]0.999211[/C][C]0.00157871[/C][C]0.000789354[/C][/ROW]
[ROW][C]89[/C][C]0.999005[/C][C]0.0019905[/C][C]0.000995248[/C][/ROW]
[ROW][C]90[/C][C]0.998727[/C][C]0.00254534[/C][C]0.00127267[/C][/ROW]
[ROW][C]91[/C][C]0.998339[/C][C]0.00332165[/C][C]0.00166082[/C][/ROW]
[ROW][C]92[/C][C]0.997872[/C][C]0.00425567[/C][C]0.00212784[/C][/ROW]
[ROW][C]93[/C][C]0.997269[/C][C]0.00546277[/C][C]0.00273139[/C][/ROW]
[ROW][C]94[/C][C]0.996603[/C][C]0.00679476[/C][C]0.00339738[/C][/ROW]
[ROW][C]95[/C][C]0.995754[/C][C]0.00849185[/C][C]0.00424593[/C][/ROW]
[ROW][C]96[/C][C]0.994718[/C][C]0.010563[/C][C]0.00528151[/C][/ROW]
[ROW][C]97[/C][C]0.993335[/C][C]0.0133291[/C][C]0.00666456[/C][/ROW]
[ROW][C]98[/C][C]0.991605[/C][C]0.0167896[/C][C]0.00839479[/C][/ROW]
[ROW][C]99[/C][C]0.989615[/C][C]0.0207691[/C][C]0.0103846[/C][/ROW]
[ROW][C]100[/C][C]0.9871[/C][C]0.0258004[/C][C]0.0129002[/C][/ROW]
[ROW][C]101[/C][C]0.984704[/C][C]0.0305912[/C][C]0.0152956[/C][/ROW]
[ROW][C]102[/C][C]0.98208[/C][C]0.0358402[/C][C]0.0179201[/C][/ROW]
[ROW][C]103[/C][C]0.978488[/C][C]0.0430232[/C][C]0.0215116[/C][/ROW]
[ROW][C]104[/C][C]0.97437[/C][C]0.0512591[/C][C]0.0256296[/C][/ROW]
[ROW][C]105[/C][C]0.969905[/C][C]0.06019[/C][C]0.030095[/C][/ROW]
[ROW][C]106[/C][C]0.965513[/C][C]0.0689741[/C][C]0.0344871[/C][/ROW]
[ROW][C]107[/C][C]0.959564[/C][C]0.0808721[/C][C]0.0404361[/C][/ROW]
[ROW][C]108[/C][C]0.952723[/C][C]0.0945549[/C][C]0.0472774[/C][/ROW]
[ROW][C]109[/C][C]0.944471[/C][C]0.111059[/C][C]0.0555293[/C][/ROW]
[ROW][C]110[/C][C]0.93515[/C][C]0.129699[/C][C]0.0648496[/C][/ROW]
[ROW][C]111[/C][C]0.925339[/C][C]0.149322[/C][C]0.0746609[/C][/ROW]
[ROW][C]112[/C][C]0.913922[/C][C]0.172157[/C][C]0.0860784[/C][/ROW]
[ROW][C]113[/C][C]0.901037[/C][C]0.197927[/C][C]0.0989633[/C][/ROW]
[ROW][C]114[/C][C]0.888887[/C][C]0.222227[/C][C]0.111113[/C][/ROW]
[ROW][C]115[/C][C]0.874366[/C][C]0.251268[/C][C]0.125634[/C][/ROW]
[ROW][C]116[/C][C]0.859978[/C][C]0.280044[/C][C]0.140022[/C][/ROW]
[ROW][C]117[/C][C]0.843845[/C][C]0.312309[/C][C]0.156155[/C][/ROW]
[ROW][C]118[/C][C]0.828944[/C][C]0.342111[/C][C]0.171056[/C][/ROW]
[ROW][C]119[/C][C]0.819744[/C][C]0.360511[/C][C]0.180256[/C][/ROW]
[ROW][C]120[/C][C]0.815013[/C][C]0.369974[/C][C]0.184987[/C][/ROW]
[ROW][C]121[/C][C]0.822928[/C][C]0.354144[/C][C]0.177072[/C][/ROW]
[ROW][C]122[/C][C]0.849711[/C][C]0.300578[/C][C]0.150289[/C][/ROW]
[ROW][C]123[/C][C]0.885067[/C][C]0.229866[/C][C]0.114933[/C][/ROW]
[ROW][C]124[/C][C]0.924697[/C][C]0.150607[/C][C]0.0753035[/C][/ROW]
[ROW][C]125[/C][C]0.953588[/C][C]0.0928236[/C][C]0.0464118[/C][/ROW]
[ROW][C]126[/C][C]0.966374[/C][C]0.0672529[/C][C]0.0336265[/C][/ROW]
[ROW][C]127[/C][C]0.976578[/C][C]0.0468444[/C][C]0.0234222[/C][/ROW]
[ROW][C]128[/C][C]0.983709[/C][C]0.0325823[/C][C]0.0162911[/C][/ROW]
[ROW][C]129[/C][C]0.986403[/C][C]0.0271948[/C][C]0.0135974[/C][/ROW]
[ROW][C]130[/C][C]0.988266[/C][C]0.0234686[/C][C]0.0117343[/C][/ROW]
[ROW][C]131[/C][C]0.988189[/C][C]0.0236229[/C][C]0.0118114[/C][/ROW]
[ROW][C]132[/C][C]0.989176[/C][C]0.0216475[/C][C]0.0108237[/C][/ROW]
[ROW][C]133[/C][C]0.989083[/C][C]0.021835[/C][C]0.0109175[/C][/ROW]
[ROW][C]134[/C][C]0.988656[/C][C]0.0226886[/C][C]0.0113443[/C][/ROW]
[ROW][C]135[/C][C]0.987752[/C][C]0.0244965[/C][C]0.0122483[/C][/ROW]
[ROW][C]136[/C][C]0.985731[/C][C]0.028538[/C][C]0.014269[/C][/ROW]
[ROW][C]137[/C][C]0.983358[/C][C]0.0332836[/C][C]0.0166418[/C][/ROW]
[ROW][C]138[/C][C]0.980072[/C][C]0.0398565[/C][C]0.0199282[/C][/ROW]
[ROW][C]139[/C][C]0.976353[/C][C]0.0472941[/C][C]0.023647[/C][/ROW]
[ROW][C]140[/C][C]0.972188[/C][C]0.0556238[/C][C]0.0278119[/C][/ROW]
[ROW][C]141[/C][C]0.967453[/C][C]0.0650945[/C][C]0.0325472[/C][/ROW]
[ROW][C]142[/C][C]0.963488[/C][C]0.0730231[/C][C]0.0365116[/C][/ROW]
[ROW][C]143[/C][C]0.960262[/C][C]0.0794768[/C][C]0.0397384[/C][/ROW]
[ROW][C]144[/C][C]0.955536[/C][C]0.0889271[/C][C]0.0444635[/C][/ROW]
[ROW][C]145[/C][C]0.949748[/C][C]0.100505[/C][C]0.0502524[/C][/ROW]
[ROW][C]146[/C][C]0.942381[/C][C]0.115238[/C][C]0.0576189[/C][/ROW]
[ROW][C]147[/C][C]0.936969[/C][C]0.126062[/C][C]0.063031[/C][/ROW]
[ROW][C]148[/C][C]0.929716[/C][C]0.140568[/C][C]0.0702838[/C][/ROW]
[ROW][C]149[/C][C]0.921638[/C][C]0.156725[/C][C]0.0783624[/C][/ROW]
[ROW][C]150[/C][C]0.913135[/C][C]0.173731[/C][C]0.0868653[/C][/ROW]
[ROW][C]151[/C][C]0.903544[/C][C]0.192912[/C][C]0.096456[/C][/ROW]
[ROW][C]152[/C][C]0.895341[/C][C]0.209319[/C][C]0.104659[/C][/ROW]
[ROW][C]153[/C][C]0.883203[/C][C]0.233593[/C][C]0.116797[/C][/ROW]
[ROW][C]154[/C][C]0.878151[/C][C]0.243699[/C][C]0.121849[/C][/ROW]
[ROW][C]155[/C][C]0.877167[/C][C]0.245667[/C][C]0.122833[/C][/ROW]
[ROW][C]156[/C][C]0.891064[/C][C]0.217872[/C][C]0.108936[/C][/ROW]
[ROW][C]157[/C][C]0.903031[/C][C]0.193938[/C][C]0.0969688[/C][/ROW]
[ROW][C]158[/C][C]0.91899[/C][C]0.16202[/C][C]0.0810099[/C][/ROW]
[ROW][C]159[/C][C]0.935321[/C][C]0.129357[/C][C]0.0646785[/C][/ROW]
[ROW][C]160[/C][C]0.949119[/C][C]0.101761[/C][C]0.0508807[/C][/ROW]
[ROW][C]161[/C][C]0.962082[/C][C]0.0758356[/C][C]0.0379178[/C][/ROW]
[ROW][C]162[/C][C]0.968457[/C][C]0.0630861[/C][C]0.031543[/C][/ROW]
[ROW][C]163[/C][C]0.973916[/C][C]0.0521685[/C][C]0.0260843[/C][/ROW]
[ROW][C]164[/C][C]0.977636[/C][C]0.0447271[/C][C]0.0223636[/C][/ROW]
[ROW][C]165[/C][C]0.979394[/C][C]0.0412121[/C][C]0.0206061[/C][/ROW]
[ROW][C]166[/C][C]0.981257[/C][C]0.0374867[/C][C]0.0187434[/C][/ROW]
[ROW][C]167[/C][C]0.982106[/C][C]0.0357884[/C][C]0.0178942[/C][/ROW]
[ROW][C]168[/C][C]0.983865[/C][C]0.0322708[/C][C]0.0161354[/C][/ROW]
[ROW][C]169[/C][C]0.984785[/C][C]0.0304291[/C][C]0.0152145[/C][/ROW]
[ROW][C]170[/C][C]0.985042[/C][C]0.0299159[/C][C]0.0149579[/C][/ROW]
[ROW][C]171[/C][C]0.985814[/C][C]0.0283713[/C][C]0.0141857[/C][/ROW]
[ROW][C]172[/C][C]0.986471[/C][C]0.0270578[/C][C]0.0135289[/C][/ROW]
[ROW][C]173[/C][C]0.988582[/C][C]0.022835[/C][C]0.0114175[/C][/ROW]
[ROW][C]174[/C][C]0.987962[/C][C]0.0240761[/C][C]0.012038[/C][/ROW]
[ROW][C]175[/C][C]0.987313[/C][C]0.0253732[/C][C]0.0126866[/C][/ROW]
[ROW][C]176[/C][C]0.987548[/C][C]0.0249047[/C][C]0.0124524[/C][/ROW]
[ROW][C]177[/C][C]0.986949[/C][C]0.0261027[/C][C]0.0130514[/C][/ROW]
[ROW][C]178[/C][C]0.985989[/C][C]0.0280223[/C][C]0.0140111[/C][/ROW]
[ROW][C]179[/C][C]0.986657[/C][C]0.0266858[/C][C]0.0133429[/C][/ROW]
[ROW][C]180[/C][C]0.987866[/C][C]0.024267[/C][C]0.0121335[/C][/ROW]
[ROW][C]181[/C][C]0.989685[/C][C]0.0206302[/C][C]0.0103151[/C][/ROW]
[ROW][C]182[/C][C]0.991921[/C][C]0.0161578[/C][C]0.00807888[/C][/ROW]
[ROW][C]183[/C][C]0.993507[/C][C]0.0129866[/C][C]0.00649332[/C][/ROW]
[ROW][C]184[/C][C]0.994837[/C][C]0.0103258[/C][C]0.00516289[/C][/ROW]
[ROW][C]185[/C][C]0.996441[/C][C]0.00711881[/C][C]0.0035594[/C][/ROW]
[ROW][C]186[/C][C]0.996961[/C][C]0.00607891[/C][C]0.00303946[/C][/ROW]
[ROW][C]187[/C][C]0.997374[/C][C]0.0052526[/C][C]0.0026263[/C][/ROW]
[ROW][C]188[/C][C]0.997662[/C][C]0.00467559[/C][C]0.0023378[/C][/ROW]
[ROW][C]189[/C][C]0.997788[/C][C]0.00442376[/C][C]0.00221188[/C][/ROW]
[ROW][C]190[/C][C]0.997972[/C][C]0.00405671[/C][C]0.00202835[/C][/ROW]
[ROW][C]191[/C][C]0.998534[/C][C]0.00293248[/C][C]0.00146624[/C][/ROW]
[ROW][C]192[/C][C]0.998981[/C][C]0.00203836[/C][C]0.00101918[/C][/ROW]
[ROW][C]193[/C][C]0.999327[/C][C]0.00134528[/C][C]0.00067264[/C][/ROW]
[ROW][C]194[/C][C]0.999544[/C][C]0.000911707[/C][C]0.000455853[/C][/ROW]
[ROW][C]195[/C][C]0.999711[/C][C]0.000578348[/C][C]0.000289174[/C][/ROW]
[ROW][C]196[/C][C]0.999826[/C][C]0.000347985[/C][C]0.000173993[/C][/ROW]
[ROW][C]197[/C][C]0.999896[/C][C]0.000207731[/C][C]0.000103865[/C][/ROW]
[ROW][C]198[/C][C]0.999932[/C][C]0.000135094[/C][C]6.7547e-05[/C][/ROW]
[ROW][C]199[/C][C]0.999942[/C][C]0.000115013[/C][C]5.75066e-05[/C][/ROW]
[ROW][C]200[/C][C]0.999955[/C][C]8.93683e-05[/C][C]4.46841e-05[/C][/ROW]
[ROW][C]201[/C][C]0.999961[/C][C]7.81503e-05[/C][C]3.90751e-05[/C][/ROW]
[ROW][C]202[/C][C]0.999967[/C][C]6.51932e-05[/C][C]3.25966e-05[/C][/ROW]
[ROW][C]203[/C][C]0.999975[/C][C]4.94069e-05[/C][C]2.47035e-05[/C][/ROW]
[ROW][C]204[/C][C]0.999985[/C][C]3.09985e-05[/C][C]1.54993e-05[/C][/ROW]
[ROW][C]205[/C][C]0.99999[/C][C]2.03902e-05[/C][C]1.01951e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999994[/C][C]1.1258e-05[/C][C]5.62902e-06[/C][/ROW]
[ROW][C]207[/C][C]0.999996[/C][C]7.17062e-06[/C][C]3.58531e-06[/C][/ROW]
[ROW][C]208[/C][C]0.999998[/C][C]3.82945e-06[/C][C]1.91472e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999999[/C][C]2.07186e-06[/C][C]1.03593e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999999[/C][C]1.3385e-06[/C][C]6.69248e-07[/C][/ROW]
[ROW][C]211[/C][C]0.999999[/C][C]1.14281e-06[/C][C]5.71403e-07[/C][/ROW]
[ROW][C]212[/C][C]0.999999[/C][C]1.00015e-06[/C][C]5.00074e-07[/C][/ROW]
[ROW][C]213[/C][C]0.999999[/C][C]1.03035e-06[/C][C]5.15174e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999999[/C][C]1.10492e-06[/C][C]5.52459e-07[/C][/ROW]
[ROW][C]215[/C][C]0.999999[/C][C]1.02223e-06[/C][C]5.11116e-07[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]9.05387e-07[/C][C]4.52694e-07[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]8.03613e-07[/C][C]4.01807e-07[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]6.90493e-07[/C][C]3.45246e-07[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]6.17207e-07[/C][C]3.08603e-07[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]5.6041e-07[/C][C]2.80205e-07[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]4.89758e-07[/C][C]2.44879e-07[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]5.11922e-07[/C][C]2.55961e-07[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]5.80788e-07[/C][C]2.90394e-07[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]6.82703e-07[/C][C]3.41352e-07[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]7.72828e-07[/C][C]3.86414e-07[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]9.44472e-07[/C][C]4.72236e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999[/C][C]1.06487e-06[/C][C]5.32436e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999[/C][C]1.19898e-06[/C][C]5.99492e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999[/C][C]1.33218e-06[/C][C]6.6609e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999[/C][C]1.46962e-06[/C][C]7.3481e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999[/C][C]1.60171e-06[/C][C]8.00856e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999999[/C][C]1.74803e-06[/C][C]8.74014e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999[/C][C]1.8533e-06[/C][C]9.2665e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999999[/C][C]2.35639e-06[/C][C]1.1782e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999998[/C][C]3.12931e-06[/C][C]1.56466e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999998[/C][C]4.21094e-06[/C][C]2.10547e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999997[/C][C]5.86621e-06[/C][C]2.9331e-06[/C][/ROW]
[ROW][C]238[/C][C]0.999996[/C][C]7.98524e-06[/C][C]3.99262e-06[/C][/ROW]
[ROW][C]239[/C][C]0.999995[/C][C]1.06319e-05[/C][C]5.31595e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999993[/C][C]1.33877e-05[/C][C]6.69385e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999992[/C][C]1.51386e-05[/C][C]7.56931e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999991[/C][C]1.85977e-05[/C][C]9.29886e-06[/C][/ROW]
[ROW][C]243[/C][C]0.99999[/C][C]2.04995e-05[/C][C]1.02497e-05[/C][/ROW]
[ROW][C]244[/C][C]0.999991[/C][C]1.87856e-05[/C][C]9.39282e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999992[/C][C]1.62859e-05[/C][C]8.14297e-06[/C][/ROW]
[ROW][C]246[/C][C]0.999989[/C][C]2.28339e-05[/C][C]1.1417e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999985[/C][C]3.07733e-05[/C][C]1.53867e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999982[/C][C]3.64635e-05[/C][C]1.82317e-05[/C][/ROW]
[ROW][C]249[/C][C]0.99998[/C][C]3.93163e-05[/C][C]1.96581e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999978[/C][C]4.30365e-05[/C][C]2.15182e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999978[/C][C]4.36739e-05[/C][C]2.1837e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999982[/C][C]3.5041e-05[/C][C]1.75205e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999988[/C][C]2.44546e-05[/C][C]1.22273e-05[/C][/ROW]
[ROW][C]254[/C][C]0.999992[/C][C]1.6188e-05[/C][C]8.094e-06[/C][/ROW]
[ROW][C]255[/C][C]0.999995[/C][C]9.64699e-06[/C][C]4.8235e-06[/C][/ROW]
[ROW][C]256[/C][C]0.999997[/C][C]6.03976e-06[/C][C]3.01988e-06[/C][/ROW]
[ROW][C]257[/C][C]0.999999[/C][C]2.80161e-06[/C][C]1.40081e-06[/C][/ROW]
[ROW][C]258[/C][C]0.999998[/C][C]3.06782e-06[/C][C]1.53391e-06[/C][/ROW]
[ROW][C]259[/C][C]0.999998[/C][C]3.00464e-06[/C][C]1.50232e-06[/C][/ROW]
[ROW][C]260[/C][C]0.999999[/C][C]2.40475e-06[/C][C]1.20238e-06[/C][/ROW]
[ROW][C]261[/C][C]0.999999[/C][C]2.33013e-06[/C][C]1.16507e-06[/C][/ROW]
[ROW][C]262[/C][C]0.999999[/C][C]2.22384e-06[/C][C]1.11192e-06[/C][/ROW]
[ROW][C]263[/C][C]0.999999[/C][C]1.25261e-06[/C][C]6.26305e-07[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]5.25155e-07[/C][C]2.62577e-07[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]3.18932e-07[/C][C]1.59466e-07[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]3.14388e-07[/C][C]1.57194e-07[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]3.50487e-07[/C][C]1.75243e-07[/C][/ROW]
[ROW][C]268[/C][C]1[/C][C]4.57359e-07[/C][C]2.2868e-07[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]6.11841e-07[/C][C]3.0592e-07[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]9.63163e-07[/C][C]4.81581e-07[/C][/ROW]
[ROW][C]271[/C][C]0.999999[/C][C]1.48853e-06[/C][C]7.44265e-07[/C][/ROW]
[ROW][C]272[/C][C]0.999999[/C][C]2.24652e-06[/C][C]1.12326e-06[/C][/ROW]
[ROW][C]273[/C][C]0.999998[/C][C]3.27213e-06[/C][C]1.63607e-06[/C][/ROW]
[ROW][C]274[/C][C]0.999998[/C][C]4.5498e-06[/C][C]2.2749e-06[/C][/ROW]
[ROW][C]275[/C][C]0.999997[/C][C]6.07924e-06[/C][C]3.03962e-06[/C][/ROW]
[ROW][C]276[/C][C]0.999996[/C][C]7.94892e-06[/C][C]3.97446e-06[/C][/ROW]
[ROW][C]277[/C][C]0.999994[/C][C]1.11755e-05[/C][C]5.58774e-06[/C][/ROW]
[ROW][C]278[/C][C]0.999992[/C][C]1.59221e-05[/C][C]7.96103e-06[/C][/ROW]
[ROW][C]279[/C][C]0.999989[/C][C]2.2487e-05[/C][C]1.12435e-05[/C][/ROW]
[ROW][C]280[/C][C]0.999984[/C][C]3.15089e-05[/C][C]1.57545e-05[/C][/ROW]
[ROW][C]281[/C][C]0.999978[/C][C]4.43171e-05[/C][C]2.21585e-05[/C][/ROW]
[ROW][C]282[/C][C]0.999971[/C][C]5.88283e-05[/C][C]2.94141e-05[/C][/ROW]
[ROW][C]283[/C][C]0.999962[/C][C]7.56695e-05[/C][C]3.78347e-05[/C][/ROW]
[ROW][C]284[/C][C]0.999954[/C][C]9.29363e-05[/C][C]4.64682e-05[/C][/ROW]
[ROW][C]285[/C][C]0.999941[/C][C]0.000117758[/C][C]5.88792e-05[/C][/ROW]
[ROW][C]286[/C][C]0.999924[/C][C]0.000151466[/C][C]7.57332e-05[/C][/ROW]
[ROW][C]287[/C][C]0.999904[/C][C]0.000192374[/C][C]9.61871e-05[/C][/ROW]
[ROW][C]288[/C][C]0.999873[/C][C]0.00025437[/C][C]0.000127185[/C][/ROW]
[ROW][C]289[/C][C]0.99982[/C][C]0.000359333[/C][C]0.000179666[/C][/ROW]
[ROW][C]290[/C][C]0.999743[/C][C]0.000514767[/C][C]0.000257384[/C][/ROW]
[ROW][C]291[/C][C]0.999639[/C][C]0.000722231[/C][C]0.000361115[/C][/ROW]
[ROW][C]292[/C][C]0.999494[/C][C]0.0010114[/C][C]0.000505702[/C][/ROW]
[ROW][C]293[/C][C]0.999287[/C][C]0.00142622[/C][C]0.000713112[/C][/ROW]
[ROW][C]294[/C][C]0.999026[/C][C]0.00194714[/C][C]0.000973569[/C][/ROW]
[ROW][C]295[/C][C]0.998673[/C][C]0.00265481[/C][C]0.00132741[/C][/ROW]
[ROW][C]296[/C][C]0.998216[/C][C]0.00356866[/C][C]0.00178433[/C][/ROW]
[ROW][C]297[/C][C]0.997602[/C][C]0.00479627[/C][C]0.00239814[/C][/ROW]
[ROW][C]298[/C][C]0.99681[/C][C]0.00637978[/C][C]0.00318989[/C][/ROW]
[ROW][C]299[/C][C]0.995726[/C][C]0.00854877[/C][C]0.00427439[/C][/ROW]
[ROW][C]300[/C][C]0.994462[/C][C]0.0110763[/C][C]0.00553817[/C][/ROW]
[ROW][C]301[/C][C]0.993782[/C][C]0.0124364[/C][C]0.00621821[/C][/ROW]
[ROW][C]302[/C][C]0.992755[/C][C]0.0144906[/C][C]0.00724529[/C][/ROW]
[ROW][C]303[/C][C]0.992002[/C][C]0.0159966[/C][C]0.00799828[/C][/ROW]
[ROW][C]304[/C][C]0.990867[/C][C]0.0182651[/C][C]0.00913254[/C][/ROW]
[ROW][C]305[/C][C]0.990593[/C][C]0.0188138[/C][C]0.00940688[/C][/ROW]
[ROW][C]306[/C][C]0.989282[/C][C]0.0214357[/C][C]0.0107178[/C][/ROW]
[ROW][C]307[/C][C]0.988876[/C][C]0.0222481[/C][C]0.0111241[/C][/ROW]
[ROW][C]308[/C][C]0.989375[/C][C]0.0212503[/C][C]0.0106252[/C][/ROW]
[ROW][C]309[/C][C]0.99019[/C][C]0.0196203[/C][C]0.00981014[/C][/ROW]
[ROW][C]310[/C][C]0.993088[/C][C]0.0138237[/C][C]0.00691184[/C][/ROW]
[ROW][C]311[/C][C]0.995059[/C][C]0.00988144[/C][C]0.00494072[/C][/ROW]
[ROW][C]312[/C][C]0.996896[/C][C]0.00620748[/C][C]0.00310374[/C][/ROW]
[ROW][C]313[/C][C]0.998277[/C][C]0.00344599[/C][C]0.001723[/C][/ROW]
[ROW][C]314[/C][C]0.999089[/C][C]0.00182133[/C][C]0.000910666[/C][/ROW]
[ROW][C]315[/C][C]0.999705[/C][C]0.000589741[/C][C]0.00029487[/C][/ROW]
[ROW][C]316[/C][C]0.999937[/C][C]0.00012639[/C][C]6.31952e-05[/C][/ROW]
[ROW][C]317[/C][C]0.999992[/C][C]1.64593e-05[/C][C]8.22964e-06[/C][/ROW]
[ROW][C]318[/C][C]0.999998[/C][C]3.30479e-06[/C][C]1.6524e-06[/C][/ROW]
[ROW][C]319[/C][C]1[/C][C]3.26193e-07[/C][C]1.63097e-07[/C][/ROW]
[ROW][C]320[/C][C]1[/C][C]4.4824e-09[/C][C]2.2412e-09[/C][/ROW]
[ROW][C]321[/C][C]1[/C][C]6.47649e-11[/C][C]3.23824e-11[/C][/ROW]
[ROW][C]322[/C][C]1[/C][C]3.15261e-14[/C][C]1.57631e-14[/C][/ROW]
[ROW][C]323[/C][C]1[/C][C]4.0361e-18[/C][C]2.01805e-18[/C][/ROW]
[ROW][C]324[/C][C]1[/C][C]9.67335e-23[/C][C]4.83667e-23[/C][/ROW]
[ROW][C]325[/C][C]1[/C][C]3.24935e-23[/C][C]1.62468e-23[/C][/ROW]
[ROW][C]326[/C][C]1[/C][C]1.78994e-23[/C][C]8.94968e-24[/C][/ROW]
[ROW][C]327[/C][C]1[/C][C]9.14787e-23[/C][C]4.57394e-23[/C][/ROW]
[ROW][C]328[/C][C]1[/C][C]4.4819e-22[/C][C]2.24095e-22[/C][/ROW]
[ROW][C]329[/C][C]1[/C][C]5.07527e-22[/C][C]2.53763e-22[/C][/ROW]
[ROW][C]330[/C][C]1[/C][C]3.35697e-21[/C][C]1.67849e-21[/C][/ROW]
[ROW][C]331[/C][C]1[/C][C]2.23899e-20[/C][C]1.1195e-20[/C][/ROW]
[ROW][C]332[/C][C]1[/C][C]1.16896e-19[/C][C]5.84479e-20[/C][/ROW]
[ROW][C]333[/C][C]1[/C][C]7.29177e-19[/C][C]3.64589e-19[/C][/ROW]
[ROW][C]334[/C][C]1[/C][C]4.6007e-18[/C][C]2.30035e-18[/C][/ROW]
[ROW][C]335[/C][C]1[/C][C]1.58971e-17[/C][C]7.94853e-18[/C][/ROW]
[ROW][C]336[/C][C]1[/C][C]7.98761e-17[/C][C]3.9938e-17[/C][/ROW]
[ROW][C]337[/C][C]1[/C][C]4.1041e-16[/C][C]2.05205e-16[/C][/ROW]
[ROW][C]338[/C][C]1[/C][C]1.05312e-15[/C][C]5.26561e-16[/C][/ROW]
[ROW][C]339[/C][C]1[/C][C]1.30081e-15[/C][C]6.50403e-16[/C][/ROW]
[ROW][C]340[/C][C]1[/C][C]7.35559e-15[/C][C]3.6778e-15[/C][/ROW]
[ROW][C]341[/C][C]1[/C][C]8.64836e-15[/C][C]4.32418e-15[/C][/ROW]
[ROW][C]342[/C][C]1[/C][C]2.2228e-14[/C][C]1.1114e-14[/C][/ROW]
[ROW][C]343[/C][C]1[/C][C]8.98908e-14[/C][C]4.49454e-14[/C][/ROW]
[ROW][C]344[/C][C]1[/C][C]6.13888e-13[/C][C]3.06944e-13[/C][/ROW]
[ROW][C]345[/C][C]1[/C][C]3.14426e-12[/C][C]1.57213e-12[/C][/ROW]
[ROW][C]346[/C][C]1[/C][C]2.44151e-11[/C][C]1.22075e-11[/C][/ROW]
[ROW][C]347[/C][C]1[/C][C]2.20837e-10[/C][C]1.10418e-10[/C][/ROW]
[ROW][C]348[/C][C]1[/C][C]2.08808e-09[/C][C]1.04404e-09[/C][/ROW]
[ROW][C]349[/C][C]1[/C][C]1.92281e-08[/C][C]9.61407e-09[/C][/ROW]
[ROW][C]350[/C][C]1[/C][C]5.55278e-08[/C][C]2.77639e-08[/C][/ROW]
[ROW][C]351[/C][C]1[/C][C]3.47799e-07[/C][C]1.739e-07[/C][/ROW]
[ROW][C]352[/C][C]0.999999[/C][C]2.49432e-06[/C][C]1.24716e-06[/C][/ROW]
[ROW][C]353[/C][C]0.999989[/C][C]2.28877e-05[/C][C]1.14438e-05[/C][/ROW]
[ROW][C]354[/C][C]0.99996[/C][C]8.04724e-05[/C][C]4.02362e-05[/C][/ROW]
[ROW][C]355[/C][C]0.99966[/C][C]0.000680376[/C][C]0.000340188[/C][/ROW]
[ROW][C]356[/C][C]0.997426[/C][C]0.00514817[/C][C]0.00257409[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224517&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224517&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-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	0.00162195	0.00324391	0.998378
17	0.0319232	0.0638464	0.968077
18	0.0203921	0.0407842	0.979608
19	0.0213206	0.0426413	0.978679
20	0.0144874	0.0289748	0.985513
21	0.00887049	0.017741	0.99113
22	0.0173802	0.0347604	0.98262
23	0.00959879	0.0191976	0.990401
24	0.00477452	0.00954903	0.995225
25	0.00312204	0.00624408	0.996878
26	0.00371844	0.00743687	0.996282
27	0.00488785	0.00977571	0.995112
28	0.00880339	0.0176068	0.991197
29	0.0155661	0.0311321	0.984434
30	0.027204	0.0544081	0.972796
31	0.059959	0.119918	0.940041
32	0.152544	0.305089	0.847456
33	0.227823	0.455646	0.772177
34	0.365615	0.73123	0.634385
35	0.423114	0.846229	0.576886
36	0.480285	0.960569	0.519715
37	0.580998	0.838003	0.419002
38	0.723315	0.55337	0.276685
39	0.812219	0.375562	0.187781
40	0.884973	0.230055	0.115027
41	0.925778	0.148443	0.0742217
42	0.940911	0.118177	0.0590887
43	0.953266	0.0934673	0.0467337
44	0.960878	0.078244	0.039122
45	0.958311	0.0833771	0.0416885
46	0.953223	0.093554	0.046777
47	0.944404	0.111193	0.0555964
48	0.943699	0.112602	0.0563009
49	0.934243	0.131513	0.0657567
50	0.925176	0.149648	0.0748238
51	0.922119	0.155762	0.077881
52	0.915127	0.169746	0.0848732
53	0.903127	0.193746	0.096873
54	0.891757	0.216485	0.108243
55	0.875372	0.249255	0.124628
56	0.854658	0.290684	0.145342
57	0.836758	0.326484	0.163242
58	0.827	0.345999	0.173
59	0.817991	0.364018	0.182009
60	0.815008	0.369984	0.184992
61	0.791633	0.416733	0.208367
62	0.780525	0.43895	0.219475
63	0.769059	0.461882	0.230941
64	0.748848	0.502304	0.251152
65	0.738622	0.522757	0.261378
66	0.737671	0.524657	0.262329
67	0.733998	0.532004	0.266002
68	0.734952	0.530096	0.265048
69	0.719622	0.560757	0.280378
70	0.705903	0.588194	0.294097
71	0.697737	0.604525	0.302263
72	0.717078	0.565844	0.282922
73	0.809518	0.380964	0.190482
74	0.887576	0.224848	0.112424
75	0.947681	0.104637	0.0523185
76	0.979135	0.0417298	0.0208649
77	0.992308	0.0153836	0.0076918
78	0.9953	0.00939902	0.00469951
79	0.997026	0.00594862	0.00297431
80	0.998361	0.00327889	0.00163944
81	0.999131	0.00173709	0.000868543
82	0.99939	0.00121902	0.00060951
83	0.999498	0.00100458	0.000502288
84	0.999513	0.00097402	0.00048701
85	0.999504	0.000992573	0.000496286
86	0.999417	0.00116575	0.000582876
87	0.999299	0.0014011	0.000700548
88	0.999211	0.00157871	0.000789354
89	0.999005	0.0019905	0.000995248
90	0.998727	0.00254534	0.00127267
91	0.998339	0.00332165	0.00166082
92	0.997872	0.00425567	0.00212784
93	0.997269	0.00546277	0.00273139
94	0.996603	0.00679476	0.00339738
95	0.995754	0.00849185	0.00424593
96	0.994718	0.010563	0.00528151
97	0.993335	0.0133291	0.00666456
98	0.991605	0.0167896	0.00839479
99	0.989615	0.0207691	0.0103846
100	0.9871	0.0258004	0.0129002
101	0.984704	0.0305912	0.0152956
102	0.98208	0.0358402	0.0179201
103	0.978488	0.0430232	0.0215116
104	0.97437	0.0512591	0.0256296
105	0.969905	0.06019	0.030095
106	0.965513	0.0689741	0.0344871
107	0.959564	0.0808721	0.0404361
108	0.952723	0.0945549	0.0472774
109	0.944471	0.111059	0.0555293
110	0.93515	0.129699	0.0648496
111	0.925339	0.149322	0.0746609
112	0.913922	0.172157	0.0860784
113	0.901037	0.197927	0.0989633
114	0.888887	0.222227	0.111113
115	0.874366	0.251268	0.125634
116	0.859978	0.280044	0.140022
117	0.843845	0.312309	0.156155
118	0.828944	0.342111	0.171056
119	0.819744	0.360511	0.180256
120	0.815013	0.369974	0.184987
121	0.822928	0.354144	0.177072
122	0.849711	0.300578	0.150289
123	0.885067	0.229866	0.114933
124	0.924697	0.150607	0.0753035
125	0.953588	0.0928236	0.0464118
126	0.966374	0.0672529	0.0336265
127	0.976578	0.0468444	0.0234222
128	0.983709	0.0325823	0.0162911
129	0.986403	0.0271948	0.0135974
130	0.988266	0.0234686	0.0117343
131	0.988189	0.0236229	0.0118114
132	0.989176	0.0216475	0.0108237
133	0.989083	0.021835	0.0109175
134	0.988656	0.0226886	0.0113443
135	0.987752	0.0244965	0.0122483
136	0.985731	0.028538	0.014269
137	0.983358	0.0332836	0.0166418
138	0.980072	0.0398565	0.0199282
139	0.976353	0.0472941	0.023647
140	0.972188	0.0556238	0.0278119
141	0.967453	0.0650945	0.0325472
142	0.963488	0.0730231	0.0365116
143	0.960262	0.0794768	0.0397384
144	0.955536	0.0889271	0.0444635
145	0.949748	0.100505	0.0502524
146	0.942381	0.115238	0.0576189
147	0.936969	0.126062	0.063031
148	0.929716	0.140568	0.0702838
149	0.921638	0.156725	0.0783624
150	0.913135	0.173731	0.0868653
151	0.903544	0.192912	0.096456
152	0.895341	0.209319	0.104659
153	0.883203	0.233593	0.116797
154	0.878151	0.243699	0.121849
155	0.877167	0.245667	0.122833
156	0.891064	0.217872	0.108936
157	0.903031	0.193938	0.0969688
158	0.91899	0.16202	0.0810099
159	0.935321	0.129357	0.0646785
160	0.949119	0.101761	0.0508807
161	0.962082	0.0758356	0.0379178
162	0.968457	0.0630861	0.031543
163	0.973916	0.0521685	0.0260843
164	0.977636	0.0447271	0.0223636
165	0.979394	0.0412121	0.0206061
166	0.981257	0.0374867	0.0187434
167	0.982106	0.0357884	0.0178942
168	0.983865	0.0322708	0.0161354
169	0.984785	0.0304291	0.0152145
170	0.985042	0.0299159	0.0149579
171	0.985814	0.0283713	0.0141857
172	0.986471	0.0270578	0.0135289
173	0.988582	0.022835	0.0114175
174	0.987962	0.0240761	0.012038
175	0.987313	0.0253732	0.0126866
176	0.987548	0.0249047	0.0124524
177	0.986949	0.0261027	0.0130514
178	0.985989	0.0280223	0.0140111
179	0.986657	0.0266858	0.0133429
180	0.987866	0.024267	0.0121335
181	0.989685	0.0206302	0.0103151
182	0.991921	0.0161578	0.00807888
183	0.993507	0.0129866	0.00649332
184	0.994837	0.0103258	0.00516289
185	0.996441	0.00711881	0.0035594
186	0.996961	0.00607891	0.00303946
187	0.997374	0.0052526	0.0026263
188	0.997662	0.00467559	0.0023378
189	0.997788	0.00442376	0.00221188
190	0.997972	0.00405671	0.00202835
191	0.998534	0.00293248	0.00146624
192	0.998981	0.00203836	0.00101918
193	0.999327	0.00134528	0.00067264
194	0.999544	0.000911707	0.000455853
195	0.999711	0.000578348	0.000289174
196	0.999826	0.000347985	0.000173993
197	0.999896	0.000207731	0.000103865
198	0.999932	0.000135094	6.7547e-05
199	0.999942	0.000115013	5.75066e-05
200	0.999955	8.93683e-05	4.46841e-05
201	0.999961	7.81503e-05	3.90751e-05
202	0.999967	6.51932e-05	3.25966e-05
203	0.999975	4.94069e-05	2.47035e-05
204	0.999985	3.09985e-05	1.54993e-05
205	0.99999	2.03902e-05	1.01951e-05
206	0.999994	1.1258e-05	5.62902e-06
207	0.999996	7.17062e-06	3.58531e-06
208	0.999998	3.82945e-06	1.91472e-06
209	0.999999	2.07186e-06	1.03593e-06
210	0.999999	1.3385e-06	6.69248e-07
211	0.999999	1.14281e-06	5.71403e-07
212	0.999999	1.00015e-06	5.00074e-07
213	0.999999	1.03035e-06	5.15174e-07
214	0.999999	1.10492e-06	5.52459e-07
215	0.999999	1.02223e-06	5.11116e-07
216	1	9.05387e-07	4.52694e-07
217	1	8.03613e-07	4.01807e-07
218	1	6.90493e-07	3.45246e-07
219	1	6.17207e-07	3.08603e-07
220	1	5.6041e-07	2.80205e-07
221	1	4.89758e-07	2.44879e-07
222	1	5.11922e-07	2.55961e-07
223	1	5.80788e-07	2.90394e-07
224	1	6.82703e-07	3.41352e-07
225	1	7.72828e-07	3.86414e-07
226	1	9.44472e-07	4.72236e-07
227	0.999999	1.06487e-06	5.32436e-07
228	0.999999	1.19898e-06	5.99492e-07
229	0.999999	1.33218e-06	6.6609e-07
230	0.999999	1.46962e-06	7.3481e-07
231	0.999999	1.60171e-06	8.00856e-07
232	0.999999	1.74803e-06	8.74014e-07
233	0.999999	1.8533e-06	9.2665e-07
234	0.999999	2.35639e-06	1.1782e-06
235	0.999998	3.12931e-06	1.56466e-06
236	0.999998	4.21094e-06	2.10547e-06
237	0.999997	5.86621e-06	2.9331e-06
238	0.999996	7.98524e-06	3.99262e-06
239	0.999995	1.06319e-05	5.31595e-06
240	0.999993	1.33877e-05	6.69385e-06
241	0.999992	1.51386e-05	7.56931e-06
242	0.999991	1.85977e-05	9.29886e-06
243	0.99999	2.04995e-05	1.02497e-05
244	0.999991	1.87856e-05	9.39282e-06
245	0.999992	1.62859e-05	8.14297e-06
246	0.999989	2.28339e-05	1.1417e-05
247	0.999985	3.07733e-05	1.53867e-05
248	0.999982	3.64635e-05	1.82317e-05
249	0.99998	3.93163e-05	1.96581e-05
250	0.999978	4.30365e-05	2.15182e-05
251	0.999978	4.36739e-05	2.1837e-05
252	0.999982	3.5041e-05	1.75205e-05
253	0.999988	2.44546e-05	1.22273e-05
254	0.999992	1.6188e-05	8.094e-06
255	0.999995	9.64699e-06	4.8235e-06
256	0.999997	6.03976e-06	3.01988e-06
257	0.999999	2.80161e-06	1.40081e-06
258	0.999998	3.06782e-06	1.53391e-06
259	0.999998	3.00464e-06	1.50232e-06
260	0.999999	2.40475e-06	1.20238e-06
261	0.999999	2.33013e-06	1.16507e-06
262	0.999999	2.22384e-06	1.11192e-06
263	0.999999	1.25261e-06	6.26305e-07
264	1	5.25155e-07	2.62577e-07
265	1	3.18932e-07	1.59466e-07
266	1	3.14388e-07	1.57194e-07
267	1	3.50487e-07	1.75243e-07
268	1	4.57359e-07	2.2868e-07
269	1	6.11841e-07	3.0592e-07
270	1	9.63163e-07	4.81581e-07
271	0.999999	1.48853e-06	7.44265e-07
272	0.999999	2.24652e-06	1.12326e-06
273	0.999998	3.27213e-06	1.63607e-06
274	0.999998	4.5498e-06	2.2749e-06
275	0.999997	6.07924e-06	3.03962e-06
276	0.999996	7.94892e-06	3.97446e-06
277	0.999994	1.11755e-05	5.58774e-06
278	0.999992	1.59221e-05	7.96103e-06
279	0.999989	2.2487e-05	1.12435e-05
280	0.999984	3.15089e-05	1.57545e-05
281	0.999978	4.43171e-05	2.21585e-05
282	0.999971	5.88283e-05	2.94141e-05
283	0.999962	7.56695e-05	3.78347e-05
284	0.999954	9.29363e-05	4.64682e-05
285	0.999941	0.000117758	5.88792e-05
286	0.999924	0.000151466	7.57332e-05
287	0.999904	0.000192374	9.61871e-05
288	0.999873	0.00025437	0.000127185
289	0.99982	0.000359333	0.000179666
290	0.999743	0.000514767	0.000257384
291	0.999639	0.000722231	0.000361115
292	0.999494	0.0010114	0.000505702
293	0.999287	0.00142622	0.000713112
294	0.999026	0.00194714	0.000973569
295	0.998673	0.00265481	0.00132741
296	0.998216	0.00356866	0.00178433
297	0.997602	0.00479627	0.00239814
298	0.99681	0.00637978	0.00318989
299	0.995726	0.00854877	0.00427439
300	0.994462	0.0110763	0.00553817
301	0.993782	0.0124364	0.00621821
302	0.992755	0.0144906	0.00724529
303	0.992002	0.0159966	0.00799828
304	0.990867	0.0182651	0.00913254
305	0.990593	0.0188138	0.00940688
306	0.989282	0.0214357	0.0107178
307	0.988876	0.0222481	0.0111241
308	0.989375	0.0212503	0.0106252
309	0.99019	0.0196203	0.00981014
310	0.993088	0.0138237	0.00691184
311	0.995059	0.00988144	0.00494072
312	0.996896	0.00620748	0.00310374
313	0.998277	0.00344599	0.001723
314	0.999089	0.00182133	0.000910666
315	0.999705	0.000589741	0.00029487
316	0.999937	0.00012639	6.31952e-05
317	0.999992	1.64593e-05	8.22964e-06
318	0.999998	3.30479e-06	1.6524e-06
319	1	3.26193e-07	1.63097e-07
320	1	4.4824e-09	2.2412e-09
321	1	6.47649e-11	3.23824e-11
322	1	3.15261e-14	1.57631e-14
323	1	4.0361e-18	2.01805e-18
324	1	9.67335e-23	4.83667e-23
325	1	3.24935e-23	1.62468e-23
326	1	1.78994e-23	8.94968e-24
327	1	9.14787e-23	4.57394e-23
328	1	4.4819e-22	2.24095e-22
329	1	5.07527e-22	2.53763e-22
330	1	3.35697e-21	1.67849e-21
331	1	2.23899e-20	1.1195e-20
332	1	1.16896e-19	5.84479e-20
333	1	7.29177e-19	3.64589e-19
334	1	4.6007e-18	2.30035e-18
335	1	1.58971e-17	7.94853e-18
336	1	7.98761e-17	3.9938e-17
337	1	4.1041e-16	2.05205e-16
338	1	1.05312e-15	5.26561e-16
339	1	1.30081e-15	6.50403e-16
340	1	7.35559e-15	3.6778e-15
341	1	8.64836e-15	4.32418e-15
342	1	2.2228e-14	1.1114e-14
343	1	8.98908e-14	4.49454e-14
344	1	6.13888e-13	3.06944e-13
345	1	3.14426e-12	1.57213e-12
346	1	2.44151e-11	1.22075e-11
347	1	2.20837e-10	1.10418e-10
348	1	2.08808e-09	1.04404e-09
349	1	1.92281e-08	9.61407e-09
350	1	5.55278e-08	2.77639e-08
351	1	3.47799e-07	1.739e-07
352	0.999999	2.49432e-06	1.24716e-06
353	0.999989	2.28877e-05	1.14438e-05
354	0.99996	8.04724e-05	4.02362e-05
355	0.99966	0.000680376	0.000340188
356	0.997426	0.00514817	0.00257409

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	184	0.539589	NOK
5% type I error level	247	0.72434	NOK
10% type I error level	268	0.785924	NOK

\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 & 184 & 0.539589 & NOK \tabularnewline
5% type I error level & 247 & 0.72434 & NOK \tabularnewline
10% type I error level & 268 & 0.785924 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=224517&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]184[/C][C]0.539589[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]247[/C][C]0.72434[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]268[/C][C]0.785924[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=224517&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=224517&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 tests	OK/NOK
1% type I error level	184	0.539589	NOK
5% type I error level	247	0.72434	NOK
10% type I error level	268	0.785924	NOK

Figure 1

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;

Parameters (R input):

par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;

R code (references can be found in the software module):

par3 <- 'Linear Trend'
par2 <- 'Include Monthly Dummies'
par1 <- '1'
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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), 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,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code