Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 22 Nov 2011 18:04:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/22/t13220035266uoqjltx5zucjym.htm/, Retrieved Fri, 29 Mar 2024 07:13:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146440, Retrieved Fri, 29 Mar 2024 07:13:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [workshop 7 - mini...] [2011-11-22 23:04:34] [5d2b4a0922f8ef6cb228a07f27aed6b6] [Current]
- R  D    [Multiple Regression] [Paper 2012, Deel ...] [2012-12-18 16:39:45] [346d881f0ddec1e86442b342eb3e8104]
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Dataseries X:
1990	1	353.63
1990	2	354.72
1990	3	355.49
1990	4	356.1
1990	5	357.08
1990	6	356.11
1990	7	354.67
1990	8	352.67
1990	9	351.05
1990	10	351.36
1990	11	352.81
1990	12	354.21
1991	1	354.87
1991	2	355.67
1991	3	357
1991	4	358.4
1991	5	359
1991	6	357.99
1991	7	355.96
1991	8	353.78
1991	9	352.2
1991	10	352.22
1991	11	353.7
1991	12	354.98
1992	1	356.08
1992	2	356.84
1992	3	357.73
1992	4	358.91
1992	5	359.45
1992	6	359.19
1992	7	356.72
1992	8	354.77
1992	9	352.8
1992	10	353.21
1992	11	354.15
1992	12	355.39
1993	1	356.76
1993	2	357.17
1993	3	358.26
1993	4	359.17
1993	5	360.07
1993	6	359.41
1993	7	357.36
1993	8	355.29
1993	9	353.96
1993	10	354.03
1993	11	355.27
1993	12	356.7
1994	1	358.05
1994	2	358.8
1994	3	359.67
1994	4	361.13
1994	5	361.48
1994	6	360.6
1994	7	359.2
1994	8	357.23
1994	9	355.42
1994	10	355.89
1994	11	357.41
1994	12	358.74
1995	1	359.73
1995	2	360.61
1995	3	361.6
1995	4	363.05
1995	5	363.62
1995	6	363.03
1995	7	361.55
1995	8	358.94
1995	9	357.93
1995	10	357.8
1995	11	359.22
1995	12	360.42
1996	1	361.83
1996	2	362.94
1996	3	363.91
1996	4	364.28
1996	5	364.93
1996	6	364.7
1996	7	363.31
1996	8	361.15
1996	9	359.41
1996	10	359.34
1996	11	360.62
1996	12	361.96
1997	1	362.81
1997	2	363.87
1997	3	364.25
1997	4	366.02
1997	5	366.47
1997	6	365.37
1997	7	364.1
1997	8	361.89
1997	9	360.05
1997	10	360.49
1997	11	362.21
1997	12	364.12
1998	1	365
1998	2	365.82
1998	3	366.95
1998	4	368.42
1998	5	369.33
1998	6	368.78
1998	7	367.59
1998	8	365.81
1998	9	363.83
1998	10	364.18
1998	11	365.36
1998	12	366.88
1999	1	367.97
1999	2	368.83
1999	3	369.46
1999	4	370.77
1999	5	370.66
1999	6	370.1
1999	7	369.1
1999	8	366.7
1999	9	364.61
1999	10	365.17
1999	11	366.51
1999	12	367.86
2000	1	369.07
2000	2	369.32
2000	3	370.38
2000	4	371.63
2000	5	371.32
2000	6	371.51
2000	7	369.69
2000	8	368.18
2000	9	366.87
2000	10	366.94
2000	11	368.27
2000	12	369.62
2001	1	370.47
2001	2	371.44
2001	3	372.39
2001	4	373.32
2001	5	373.77
2001	6	373.13
2001	7	371.51
2001	8	369.59
2001	9	368.12
2001	10	368.38
2001	11	369.64
2001	12	371.11
2002	1	372.38
2002	2	373.08
2002	3	373.87
2002	4	374.93
2002	5	375.58
2002	6	375.44
2002	7	373.91
2002	8	371.77
2002	9	370.72
2002	10	370.5
2002	11	372.19
2002	12	373.71
2003	1	374.92
2003	2	375.63
2003	3	376.51
2003	4	377.75
2003	5	378.54
2003	6	378.21
2003	7	376.65
2003	8	374.28
2003	9	373.12
2003	10	373.1
2003	11	374.67
2003	12	375.97
2004	1	377.03
2004	2	377.87
2004	3	378.88
2004	4	380.42
2004	5	380.62
2004	6	379.66
2004	7	377.48
2004	8	376.07
2004	9	374.1
2004	10	374.47
2004	11	376.15
2004	12	377.51
2005	1	378.43
2005	2	379.7
2005	3	380.91
2005	4	382.2
2005	5	382.45
2005	6	382.14
2005	7	380.6
2005	8	378.6
2005	9	376.72
2005	10	376.98
2005	11	378.29
2005	12	380.07
2006	1	381.36
2006	2	382.19
2006	3	382.65
2006	4	384.65
2006	5	384.94
2006	6	384.01
2006	7	382.15
2006	8	380.33
2006	9	378.81
2006	10	379.06
2006	11	380.17
2006	12	381.85
2007	1	382.88
2007	2	383.77
2007	3	384.42
2007	4	386.36
2007	5	386.53
2007	6	386.01
2007	7	384.45
2007	8	381.96
2007	9	380.81
2007	10	381.09
2007	11	382.37
2007	12	383.84
2008	1	385.42
2008	2	385.72
2008	3	385.96
2008	4	387.18
2008	5	388.5
2008	6	387.88
2008	7	386.38
2008	8	384.15
2008	9	383.07
2008	10	382.98
2008	11	384.11
2008	12	385.54
2009	1	386.92
2009	2	387.41
2009	3	388.77
2009	4	389.46
2009	5	390.18
2009	6	389.43
2009	7	387.74
2009	8	385.91
2009	9	384.77
2009	10	384.38
2009	11	385.99
2009	12	387.26




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146440&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146440&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146440&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
CO2[t] = -3265.94681869448 + 1.81898496240603JAARTAL[t] -0.265286713286696MAAND[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CO2[t] =  -3265.94681869448 +  1.81898496240603JAARTAL[t] -0.265286713286696MAAND[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146440&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CO2[t] =  -3265.94681869448 +  1.81898496240603JAARTAL[t] -0.265286713286696MAAND[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146440&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146440&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
CO2[t] = -3265.94681869448 + 1.81898496240603JAARTAL[t] -0.265286713286696MAAND[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-3265.9468186944841.805519-78.122400
JAARTAL1.818984962406030.02090887.001200
MAAND-0.2652867132866960.034924-7.596100

\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) & -3265.94681869448 & 41.805519 & -78.1224 & 0 & 0 \tabularnewline
JAARTAL & 1.81898496240603 & 0.020908 & 87.0012 & 0 & 0 \tabularnewline
MAAND & -0.265286713286696 & 0.034924 & -7.5961 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146440&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]-3265.94681869448[/C][C]41.805519[/C][C]-78.1224[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]JAARTAL[/C][C]1.81898496240603[/C][C]0.020908[/C][C]87.0012[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]MAAND[/C][C]-0.265286713286696[/C][C]0.034924[/C][C]-7.5961[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146440&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146440&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-3265.9468186944841.805519-78.122400
JAARTAL1.818984962406030.02090887.001200
MAAND-0.2652867132866960.034924-7.596100







Multiple Linear Regression - Regression Statistics
Multiple R0.984815872745831
R-squared0.969862303212133
Adjusted R-squared0.969607976656961
F-TEST (value)3813.45275784006
F-TEST (DF numerator)2
F-TEST (DF denominator)237
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.86769280275037
Sum Squared Residuals826.721508090592

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.984815872745831 \tabularnewline
R-squared & 0.969862303212133 \tabularnewline
Adjusted R-squared & 0.969607976656961 \tabularnewline
F-TEST (value) & 3813.45275784006 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 237 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.86769280275037 \tabularnewline
Sum Squared Residuals & 826.721508090592 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146440&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.984815872745831[/C][/ROW]
[ROW][C]R-squared[/C][C]0.969862303212133[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.969607976656961[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]3813.45275784006[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]237[/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]1.86769280275037[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]826.721508090592[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146440&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146440&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.984815872745831
R-squared0.969862303212133
Adjusted R-squared0.969607976656961
F-TEST (value)3813.45275784006
F-TEST (DF numerator)2
F-TEST (DF denominator)237
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.86769280275037
Sum Squared Residuals826.721508090592







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1353.63353.5679697802280.0620302197716749
2354.72353.3026830669331.41731693306715
3355.49353.0373963536462.45260364635385
4356.1352.7721096403593.32789035964056
5357.08352.5068229270734.57317707292722
6356.11352.2415362137863.86846378621394
7354.67351.9762495004992.69375049950064
8352.67351.7109627872130.959037212787338
9351.05351.445676073926-0.395676073925972
10351.36351.1803893606390.179610639360726
11352.81350.9151026473531.89489735264741
12354.21350.6498159340663.56018406593409
13354.87355.386954742626-0.516954742625574
14355.67355.1216680293390.548331970661134
15357354.8563813160522.14361868394781
16358.4354.5910946027663.80890539723449
17359354.3258078894794.67419211052121
18357.99354.0605211761923.92947882380791
19355.96353.7952344629052.16476553709458
20353.78353.5299477496190.250052250381269
21352.2353.264661036332-1.06466103633202
22352.22352.999374323045-0.779374323045285
23353.7352.7340876097590.965912390241374
24354.98352.4688008964722.5111991035281
25356.08357.205939705032-1.12593970503162
26356.84356.940652991745-0.100652991744932
27357.73356.6753662784581.05463372154181
28358.91356.4100795651712.49992043482851
29359.45356.1447928518853.30520714811517
30359.19355.8795061385983.31049386140188
31356.72355.6142194253111.1057805746886
32354.77355.348932712025-0.578932712024747
33352.8355.083645998738-2.28364599873802
34353.21354.818359285451-1.60835928545136
35354.15354.553072572165-0.403072572164662
36355.39354.2877858588781.10221414112204
37356.76359.024924667438-2.26492466743764
38357.17358.759637954151-1.58963795415092
39358.26358.494351240864-0.234351240864245
40359.17358.2290645275780.940935472422477
41360.07357.9637778142912.10622218570915
42359.41357.6984911010041.71150889899588
43357.36357.433204387717-0.0732043877174364
44355.29357.167917674431-1.87791767443073
45353.96356.902630961144-2.94263096114408
46354.03356.637344247857-2.60734424785739
47355.27356.372057534571-1.10205753457068
48356.7356.1067708212840.593229178716021
49358.05360.843909629844-2.79390962984364
50358.8360.578622916557-1.77862291655695
51359.67360.31333620327-0.643336203270245
52361.13360.0480494899841.08195051001643
53361.48359.7827627766971.69723722330315
54360.6359.517476063411.08252393658985
55359.2359.252189350124-0.0521893501234865
56357.23358.986902636837-1.75690263683676
57355.42358.72161592355-3.30161592355007
58355.89358.456329210263-2.5663292102634
59357.41358.191042496977-0.781042496976664
60358.74357.925755783690.814244216310016
61359.73362.66289459225-2.93289459224966
62360.61362.397607878963-1.78760787896297
63361.6362.132321165676-0.532321165676265
64363.05361.867034452391.18296554761042
65363.62361.6017477391032.01825226089711
66363.03361.3364610258161.69353897418377
67361.55361.0711743125290.478825687470509
68358.94360.805887599243-1.86588759924281
69357.93360.540600885956-2.6106008859561
70357.8360.275314172669-2.4753141726694
71359.22360.010027459383-0.790027459382689
72360.42359.7447407460960.675259253903997
73361.83364.481879554656-2.65187955465572
74362.94364.216592841369-1.27659284136901
75363.91363.951306128082-0.0413061280822889
76364.28363.6860194147960.593980585204355
77364.93363.4207327015091.50926729849109
78364.7363.1554459882221.54455401177776
79363.31362.8901592749360.419840725064474
80361.15362.624872561649-1.47487256164885
81359.41362.359585848362-2.94958584836211
82359.34362.094299135075-2.75429913507546
83360.62361.829012421789-1.20901242178874
84361.96361.5637257085020.396274291497933
85362.81366.300864517062-3.49086451706173
86363.87366.035577803775-2.16557780377503
87364.25365.770291090488-1.52029109048834
88366.02365.5050043772020.51499562279834
89366.47365.2397176639151.23028233608508
90365.37364.9744309506280.395569049371755
91364.1364.709144237342-0.609144237341531
92361.89364.443857524055-2.55385752405487
93360.05364.178570810768-4.12857081076815
94360.49363.913284097481-3.42328409748146
95362.21363.647997384195-1.43799738419479
96364.12363.3827106709080.737289329091933
97365368.119849479468-3.11984947946776
98365.82367.854562766181-2.03456276618107
99366.95367.589276052894-0.639276052894375
100368.42367.3239893396081.09601066039235
101369.33367.0587026263212.27129737367901
102368.78366.7934159130341.9865840869657
103367.59366.5281291997481.0618708002524
104365.81366.262842486461-0.452842486460879
105363.83365.997555773174-2.1675557731742
106364.18365.732269059887-1.55226905988748
107365.36365.466982346601-0.106982346600779
108366.88365.2016956333141.6783043666859
109367.97369.938834441874-1.96883444187375
110368.83369.673547728587-0.843547728587102
111369.46369.40826101530.0517389846995905
112370.77369.1429743020141.62702569798629
113370.66368.8776875887271.78231241127303
114370.1368.612400875441.48759912455972
115369.1368.3471141621540.752885837846419
116366.7368.081827448867-1.38182744886692
117364.61367.81654073558-3.2065407355802
118365.17367.551254022294-2.3812540222935
119366.51367.285967309007-0.775967309006827
120367.86367.020680595720.839319404279892
121369.07371.75781940428-2.68781940427981
122369.32371.492532690993-2.17253269099312
123370.38371.227245977706-0.847245977706419
124371.63370.961959264420.668040735580277
125371.32370.6966725511330.623327448866971
126371.51370.4313858378461.07861416215367
127369.69370.16609912456-0.476099124559631
128368.18369.900812411273-1.72081241127293
129366.87369.635525697986-2.76552569798623
130366.94369.3702389847-2.43023898469954
131368.27369.104952271413-0.834952271412862
132369.62368.8396655581260.780334441873857
133370.47373.576804366686-3.10680436668581
134371.44373.311517653399-1.87151765339914
135372.39373.046230940112-0.656230940112454
136373.32372.7809442268260.539055773174249
137373.77372.5156575135391.25434248646093
138373.13372.2503708002520.879629199747644
139371.51371.985084086966-0.475084086965664
140369.59371.719797373679-2.12979737367898
141368.12371.454510660392-3.33451066039226
142368.38371.189223947106-2.80922394710557
143369.64370.923937233819-1.28393723381888
144371.11370.6586505205320.451349479467841
145372.38375.395789329092-3.01578932909186
146373.08375.130502615805-2.05050261580518
147373.87374.865215902518-0.995215902518461
148374.93374.5999291892320.330070810768238
149375.58374.3346424759451.24535752405491
150375.44374.0693557626581.37064423734162
151373.91373.8040690493720.105930950628345
152371.77373.538782336085-1.768782336085
153370.72373.273495622798-2.55349562279826
154370.5373.008208909512-2.50820890951159
155372.19372.742922196225-0.552922196224896
156373.71372.4776354829381.23236451706178
157374.92377.214774291498-2.29477429149787
158375.63376.949487578211-1.31948757821119
159376.51376.684200864924-0.174200864924499
160377.75376.4189141516381.33108584836221
161378.54376.1536274383512.38637256164892
162378.21375.8883407250642.32165927493558
163376.65375.6230540117781.02694598822227
164374.28375.357767298491-1.07776729849104
165373.12375.092480585204-1.97248058520431
166373.1374.827193871918-1.72719387191759
167374.67374.5619071586310.108092841369096
168375.97374.2966204453441.6733795546558
169377.03379.033759253904-2.00375925390394
170377.87378.768472540617-0.898472540617207
171378.88378.5031858273310.376814172669481
172380.42378.2378991140442.1821008859562
173380.62377.9726124007572.64738759924288
174379.66377.707325687471.9526743125296
175377.48377.4420389741840.0379610258162889
176376.07377.176752260897-1.10675226089704
177374.1376.91146554761-2.81146554761031
178374.47376.646178834324-2.17617883432361
179376.15376.380892121037-0.230892121036968
180377.51376.115605407751.39439459224974
181378.43380.85274421631-2.42274421630993
182379.7380.587457503023-0.887457503023249
183380.91380.3221707897370.587829210263484
184382.2380.056884076452.14311592355014
185382.45379.7915973631632.65840263683684
186382.14379.5263106498762.61368935012353
187380.6379.261023936591.33897606341027
188378.6378.995737223303-0.395737223303036
189376.72378.730450510016-2.01045051001634
190376.98378.46516379673-1.48516379672965
191378.29378.1998770834430.0901229165570505
192380.07377.9345903701562.13540962984372
193381.36382.671729178716-1.31172917871595
194382.19382.406442465429-0.216442465429265
195382.65382.1411557521430.508844247857411
196384.65381.8758690388562.77413096114411
197384.94381.6105823255693.32941767443082
198384.01381.3452956122822.66470438771751
199382.15381.0800088989961.0699911010042
200380.33380.814722185709-0.4847221857091
201378.81380.549435472422-1.73943547242239
202379.06380.284148759136-1.22414875913569
203380.17380.0188620458490.151137954151021
204381.85379.7535753325622.09642466743772
205382.88384.490714141122-1.61071414112199
206383.77384.225427427835-0.455427427835306
207384.42383.9601407145490.459859285451425
208386.36383.6948540012622.66514599873812
209386.53383.4295672879753.10043271202477
210386.01383.1642805746892.84571942531149
211384.45382.8989938614021.55100613859818
212381.96382.633707148115-0.67370714811513
213380.81382.368420434828-1.55842043482841
214381.09382.103133721542-1.01313372154174
215382.37381.8378470082550.532152991744984
216383.84381.5725602949682.26743970503165
217385.42386.309699103528-0.889699103527995
218385.72386.044412390241-0.324412390241287
219385.96385.7791256769550.180874323045361
220387.18385.5138389636681.66616103633209
221388.5385.2485522503813.25144774961877
222387.88384.9832655370952.89673446290547
223386.38384.7179788238081.66202117619216
224384.15384.452692110521-0.302692110521157
225383.07384.187405397234-1.11740539723444
226382.98383.922118683948-0.942118683947723
227384.11383.6568319706610.453168029338969
228385.54383.3915452573742.14845474262567
229386.92388.128684065934-1.20868406593402
230387.41387.863397352647-0.453397352647315
231388.77387.5981106393611.17188936063934
232389.46387.3328239260742.12717607392603
233390.18387.0675372127873.11246278721276
234389.43386.8022504995012.62774950049945
235387.74386.5369637862141.20303621378615
236385.91386.271677072927-0.361677072927136
237384.77386.00639035964-1.23639035964048
238384.38385.741103646354-1.36110364635377
239385.99385.4758169330670.514183066932937
240387.26385.210530219782.04946978021962

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 353.63 & 353.567969780228 & 0.0620302197716749 \tabularnewline
2 & 354.72 & 353.302683066933 & 1.41731693306715 \tabularnewline
3 & 355.49 & 353.037396353646 & 2.45260364635385 \tabularnewline
4 & 356.1 & 352.772109640359 & 3.32789035964056 \tabularnewline
5 & 357.08 & 352.506822927073 & 4.57317707292722 \tabularnewline
6 & 356.11 & 352.241536213786 & 3.86846378621394 \tabularnewline
7 & 354.67 & 351.976249500499 & 2.69375049950064 \tabularnewline
8 & 352.67 & 351.710962787213 & 0.959037212787338 \tabularnewline
9 & 351.05 & 351.445676073926 & -0.395676073925972 \tabularnewline
10 & 351.36 & 351.180389360639 & 0.179610639360726 \tabularnewline
11 & 352.81 & 350.915102647353 & 1.89489735264741 \tabularnewline
12 & 354.21 & 350.649815934066 & 3.56018406593409 \tabularnewline
13 & 354.87 & 355.386954742626 & -0.516954742625574 \tabularnewline
14 & 355.67 & 355.121668029339 & 0.548331970661134 \tabularnewline
15 & 357 & 354.856381316052 & 2.14361868394781 \tabularnewline
16 & 358.4 & 354.591094602766 & 3.80890539723449 \tabularnewline
17 & 359 & 354.325807889479 & 4.67419211052121 \tabularnewline
18 & 357.99 & 354.060521176192 & 3.92947882380791 \tabularnewline
19 & 355.96 & 353.795234462905 & 2.16476553709458 \tabularnewline
20 & 353.78 & 353.529947749619 & 0.250052250381269 \tabularnewline
21 & 352.2 & 353.264661036332 & -1.06466103633202 \tabularnewline
22 & 352.22 & 352.999374323045 & -0.779374323045285 \tabularnewline
23 & 353.7 & 352.734087609759 & 0.965912390241374 \tabularnewline
24 & 354.98 & 352.468800896472 & 2.5111991035281 \tabularnewline
25 & 356.08 & 357.205939705032 & -1.12593970503162 \tabularnewline
26 & 356.84 & 356.940652991745 & -0.100652991744932 \tabularnewline
27 & 357.73 & 356.675366278458 & 1.05463372154181 \tabularnewline
28 & 358.91 & 356.410079565171 & 2.49992043482851 \tabularnewline
29 & 359.45 & 356.144792851885 & 3.30520714811517 \tabularnewline
30 & 359.19 & 355.879506138598 & 3.31049386140188 \tabularnewline
31 & 356.72 & 355.614219425311 & 1.1057805746886 \tabularnewline
32 & 354.77 & 355.348932712025 & -0.578932712024747 \tabularnewline
33 & 352.8 & 355.083645998738 & -2.28364599873802 \tabularnewline
34 & 353.21 & 354.818359285451 & -1.60835928545136 \tabularnewline
35 & 354.15 & 354.553072572165 & -0.403072572164662 \tabularnewline
36 & 355.39 & 354.287785858878 & 1.10221414112204 \tabularnewline
37 & 356.76 & 359.024924667438 & -2.26492466743764 \tabularnewline
38 & 357.17 & 358.759637954151 & -1.58963795415092 \tabularnewline
39 & 358.26 & 358.494351240864 & -0.234351240864245 \tabularnewline
40 & 359.17 & 358.229064527578 & 0.940935472422477 \tabularnewline
41 & 360.07 & 357.963777814291 & 2.10622218570915 \tabularnewline
42 & 359.41 & 357.698491101004 & 1.71150889899588 \tabularnewline
43 & 357.36 & 357.433204387717 & -0.0732043877174364 \tabularnewline
44 & 355.29 & 357.167917674431 & -1.87791767443073 \tabularnewline
45 & 353.96 & 356.902630961144 & -2.94263096114408 \tabularnewline
46 & 354.03 & 356.637344247857 & -2.60734424785739 \tabularnewline
47 & 355.27 & 356.372057534571 & -1.10205753457068 \tabularnewline
48 & 356.7 & 356.106770821284 & 0.593229178716021 \tabularnewline
49 & 358.05 & 360.843909629844 & -2.79390962984364 \tabularnewline
50 & 358.8 & 360.578622916557 & -1.77862291655695 \tabularnewline
51 & 359.67 & 360.31333620327 & -0.643336203270245 \tabularnewline
52 & 361.13 & 360.048049489984 & 1.08195051001643 \tabularnewline
53 & 361.48 & 359.782762776697 & 1.69723722330315 \tabularnewline
54 & 360.6 & 359.51747606341 & 1.08252393658985 \tabularnewline
55 & 359.2 & 359.252189350124 & -0.0521893501234865 \tabularnewline
56 & 357.23 & 358.986902636837 & -1.75690263683676 \tabularnewline
57 & 355.42 & 358.72161592355 & -3.30161592355007 \tabularnewline
58 & 355.89 & 358.456329210263 & -2.5663292102634 \tabularnewline
59 & 357.41 & 358.191042496977 & -0.781042496976664 \tabularnewline
60 & 358.74 & 357.92575578369 & 0.814244216310016 \tabularnewline
61 & 359.73 & 362.66289459225 & -2.93289459224966 \tabularnewline
62 & 360.61 & 362.397607878963 & -1.78760787896297 \tabularnewline
63 & 361.6 & 362.132321165676 & -0.532321165676265 \tabularnewline
64 & 363.05 & 361.86703445239 & 1.18296554761042 \tabularnewline
65 & 363.62 & 361.601747739103 & 2.01825226089711 \tabularnewline
66 & 363.03 & 361.336461025816 & 1.69353897418377 \tabularnewline
67 & 361.55 & 361.071174312529 & 0.478825687470509 \tabularnewline
68 & 358.94 & 360.805887599243 & -1.86588759924281 \tabularnewline
69 & 357.93 & 360.540600885956 & -2.6106008859561 \tabularnewline
70 & 357.8 & 360.275314172669 & -2.4753141726694 \tabularnewline
71 & 359.22 & 360.010027459383 & -0.790027459382689 \tabularnewline
72 & 360.42 & 359.744740746096 & 0.675259253903997 \tabularnewline
73 & 361.83 & 364.481879554656 & -2.65187955465572 \tabularnewline
74 & 362.94 & 364.216592841369 & -1.27659284136901 \tabularnewline
75 & 363.91 & 363.951306128082 & -0.0413061280822889 \tabularnewline
76 & 364.28 & 363.686019414796 & 0.593980585204355 \tabularnewline
77 & 364.93 & 363.420732701509 & 1.50926729849109 \tabularnewline
78 & 364.7 & 363.155445988222 & 1.54455401177776 \tabularnewline
79 & 363.31 & 362.890159274936 & 0.419840725064474 \tabularnewline
80 & 361.15 & 362.624872561649 & -1.47487256164885 \tabularnewline
81 & 359.41 & 362.359585848362 & -2.94958584836211 \tabularnewline
82 & 359.34 & 362.094299135075 & -2.75429913507546 \tabularnewline
83 & 360.62 & 361.829012421789 & -1.20901242178874 \tabularnewline
84 & 361.96 & 361.563725708502 & 0.396274291497933 \tabularnewline
85 & 362.81 & 366.300864517062 & -3.49086451706173 \tabularnewline
86 & 363.87 & 366.035577803775 & -2.16557780377503 \tabularnewline
87 & 364.25 & 365.770291090488 & -1.52029109048834 \tabularnewline
88 & 366.02 & 365.505004377202 & 0.51499562279834 \tabularnewline
89 & 366.47 & 365.239717663915 & 1.23028233608508 \tabularnewline
90 & 365.37 & 364.974430950628 & 0.395569049371755 \tabularnewline
91 & 364.1 & 364.709144237342 & -0.609144237341531 \tabularnewline
92 & 361.89 & 364.443857524055 & -2.55385752405487 \tabularnewline
93 & 360.05 & 364.178570810768 & -4.12857081076815 \tabularnewline
94 & 360.49 & 363.913284097481 & -3.42328409748146 \tabularnewline
95 & 362.21 & 363.647997384195 & -1.43799738419479 \tabularnewline
96 & 364.12 & 363.382710670908 & 0.737289329091933 \tabularnewline
97 & 365 & 368.119849479468 & -3.11984947946776 \tabularnewline
98 & 365.82 & 367.854562766181 & -2.03456276618107 \tabularnewline
99 & 366.95 & 367.589276052894 & -0.639276052894375 \tabularnewline
100 & 368.42 & 367.323989339608 & 1.09601066039235 \tabularnewline
101 & 369.33 & 367.058702626321 & 2.27129737367901 \tabularnewline
102 & 368.78 & 366.793415913034 & 1.9865840869657 \tabularnewline
103 & 367.59 & 366.528129199748 & 1.0618708002524 \tabularnewline
104 & 365.81 & 366.262842486461 & -0.452842486460879 \tabularnewline
105 & 363.83 & 365.997555773174 & -2.1675557731742 \tabularnewline
106 & 364.18 & 365.732269059887 & -1.55226905988748 \tabularnewline
107 & 365.36 & 365.466982346601 & -0.106982346600779 \tabularnewline
108 & 366.88 & 365.201695633314 & 1.6783043666859 \tabularnewline
109 & 367.97 & 369.938834441874 & -1.96883444187375 \tabularnewline
110 & 368.83 & 369.673547728587 & -0.843547728587102 \tabularnewline
111 & 369.46 & 369.4082610153 & 0.0517389846995905 \tabularnewline
112 & 370.77 & 369.142974302014 & 1.62702569798629 \tabularnewline
113 & 370.66 & 368.877687588727 & 1.78231241127303 \tabularnewline
114 & 370.1 & 368.61240087544 & 1.48759912455972 \tabularnewline
115 & 369.1 & 368.347114162154 & 0.752885837846419 \tabularnewline
116 & 366.7 & 368.081827448867 & -1.38182744886692 \tabularnewline
117 & 364.61 & 367.81654073558 & -3.2065407355802 \tabularnewline
118 & 365.17 & 367.551254022294 & -2.3812540222935 \tabularnewline
119 & 366.51 & 367.285967309007 & -0.775967309006827 \tabularnewline
120 & 367.86 & 367.02068059572 & 0.839319404279892 \tabularnewline
121 & 369.07 & 371.75781940428 & -2.68781940427981 \tabularnewline
122 & 369.32 & 371.492532690993 & -2.17253269099312 \tabularnewline
123 & 370.38 & 371.227245977706 & -0.847245977706419 \tabularnewline
124 & 371.63 & 370.96195926442 & 0.668040735580277 \tabularnewline
125 & 371.32 & 370.696672551133 & 0.623327448866971 \tabularnewline
126 & 371.51 & 370.431385837846 & 1.07861416215367 \tabularnewline
127 & 369.69 & 370.16609912456 & -0.476099124559631 \tabularnewline
128 & 368.18 & 369.900812411273 & -1.72081241127293 \tabularnewline
129 & 366.87 & 369.635525697986 & -2.76552569798623 \tabularnewline
130 & 366.94 & 369.3702389847 & -2.43023898469954 \tabularnewline
131 & 368.27 & 369.104952271413 & -0.834952271412862 \tabularnewline
132 & 369.62 & 368.839665558126 & 0.780334441873857 \tabularnewline
133 & 370.47 & 373.576804366686 & -3.10680436668581 \tabularnewline
134 & 371.44 & 373.311517653399 & -1.87151765339914 \tabularnewline
135 & 372.39 & 373.046230940112 & -0.656230940112454 \tabularnewline
136 & 373.32 & 372.780944226826 & 0.539055773174249 \tabularnewline
137 & 373.77 & 372.515657513539 & 1.25434248646093 \tabularnewline
138 & 373.13 & 372.250370800252 & 0.879629199747644 \tabularnewline
139 & 371.51 & 371.985084086966 & -0.475084086965664 \tabularnewline
140 & 369.59 & 371.719797373679 & -2.12979737367898 \tabularnewline
141 & 368.12 & 371.454510660392 & -3.33451066039226 \tabularnewline
142 & 368.38 & 371.189223947106 & -2.80922394710557 \tabularnewline
143 & 369.64 & 370.923937233819 & -1.28393723381888 \tabularnewline
144 & 371.11 & 370.658650520532 & 0.451349479467841 \tabularnewline
145 & 372.38 & 375.395789329092 & -3.01578932909186 \tabularnewline
146 & 373.08 & 375.130502615805 & -2.05050261580518 \tabularnewline
147 & 373.87 & 374.865215902518 & -0.995215902518461 \tabularnewline
148 & 374.93 & 374.599929189232 & 0.330070810768238 \tabularnewline
149 & 375.58 & 374.334642475945 & 1.24535752405491 \tabularnewline
150 & 375.44 & 374.069355762658 & 1.37064423734162 \tabularnewline
151 & 373.91 & 373.804069049372 & 0.105930950628345 \tabularnewline
152 & 371.77 & 373.538782336085 & -1.768782336085 \tabularnewline
153 & 370.72 & 373.273495622798 & -2.55349562279826 \tabularnewline
154 & 370.5 & 373.008208909512 & -2.50820890951159 \tabularnewline
155 & 372.19 & 372.742922196225 & -0.552922196224896 \tabularnewline
156 & 373.71 & 372.477635482938 & 1.23236451706178 \tabularnewline
157 & 374.92 & 377.214774291498 & -2.29477429149787 \tabularnewline
158 & 375.63 & 376.949487578211 & -1.31948757821119 \tabularnewline
159 & 376.51 & 376.684200864924 & -0.174200864924499 \tabularnewline
160 & 377.75 & 376.418914151638 & 1.33108584836221 \tabularnewline
161 & 378.54 & 376.153627438351 & 2.38637256164892 \tabularnewline
162 & 378.21 & 375.888340725064 & 2.32165927493558 \tabularnewline
163 & 376.65 & 375.623054011778 & 1.02694598822227 \tabularnewline
164 & 374.28 & 375.357767298491 & -1.07776729849104 \tabularnewline
165 & 373.12 & 375.092480585204 & -1.97248058520431 \tabularnewline
166 & 373.1 & 374.827193871918 & -1.72719387191759 \tabularnewline
167 & 374.67 & 374.561907158631 & 0.108092841369096 \tabularnewline
168 & 375.97 & 374.296620445344 & 1.6733795546558 \tabularnewline
169 & 377.03 & 379.033759253904 & -2.00375925390394 \tabularnewline
170 & 377.87 & 378.768472540617 & -0.898472540617207 \tabularnewline
171 & 378.88 & 378.503185827331 & 0.376814172669481 \tabularnewline
172 & 380.42 & 378.237899114044 & 2.1821008859562 \tabularnewline
173 & 380.62 & 377.972612400757 & 2.64738759924288 \tabularnewline
174 & 379.66 & 377.70732568747 & 1.9526743125296 \tabularnewline
175 & 377.48 & 377.442038974184 & 0.0379610258162889 \tabularnewline
176 & 376.07 & 377.176752260897 & -1.10675226089704 \tabularnewline
177 & 374.1 & 376.91146554761 & -2.81146554761031 \tabularnewline
178 & 374.47 & 376.646178834324 & -2.17617883432361 \tabularnewline
179 & 376.15 & 376.380892121037 & -0.230892121036968 \tabularnewline
180 & 377.51 & 376.11560540775 & 1.39439459224974 \tabularnewline
181 & 378.43 & 380.85274421631 & -2.42274421630993 \tabularnewline
182 & 379.7 & 380.587457503023 & -0.887457503023249 \tabularnewline
183 & 380.91 & 380.322170789737 & 0.587829210263484 \tabularnewline
184 & 382.2 & 380.05688407645 & 2.14311592355014 \tabularnewline
185 & 382.45 & 379.791597363163 & 2.65840263683684 \tabularnewline
186 & 382.14 & 379.526310649876 & 2.61368935012353 \tabularnewline
187 & 380.6 & 379.26102393659 & 1.33897606341027 \tabularnewline
188 & 378.6 & 378.995737223303 & -0.395737223303036 \tabularnewline
189 & 376.72 & 378.730450510016 & -2.01045051001634 \tabularnewline
190 & 376.98 & 378.46516379673 & -1.48516379672965 \tabularnewline
191 & 378.29 & 378.199877083443 & 0.0901229165570505 \tabularnewline
192 & 380.07 & 377.934590370156 & 2.13540962984372 \tabularnewline
193 & 381.36 & 382.671729178716 & -1.31172917871595 \tabularnewline
194 & 382.19 & 382.406442465429 & -0.216442465429265 \tabularnewline
195 & 382.65 & 382.141155752143 & 0.508844247857411 \tabularnewline
196 & 384.65 & 381.875869038856 & 2.77413096114411 \tabularnewline
197 & 384.94 & 381.610582325569 & 3.32941767443082 \tabularnewline
198 & 384.01 & 381.345295612282 & 2.66470438771751 \tabularnewline
199 & 382.15 & 381.080008898996 & 1.0699911010042 \tabularnewline
200 & 380.33 & 380.814722185709 & -0.4847221857091 \tabularnewline
201 & 378.81 & 380.549435472422 & -1.73943547242239 \tabularnewline
202 & 379.06 & 380.284148759136 & -1.22414875913569 \tabularnewline
203 & 380.17 & 380.018862045849 & 0.151137954151021 \tabularnewline
204 & 381.85 & 379.753575332562 & 2.09642466743772 \tabularnewline
205 & 382.88 & 384.490714141122 & -1.61071414112199 \tabularnewline
206 & 383.77 & 384.225427427835 & -0.455427427835306 \tabularnewline
207 & 384.42 & 383.960140714549 & 0.459859285451425 \tabularnewline
208 & 386.36 & 383.694854001262 & 2.66514599873812 \tabularnewline
209 & 386.53 & 383.429567287975 & 3.10043271202477 \tabularnewline
210 & 386.01 & 383.164280574689 & 2.84571942531149 \tabularnewline
211 & 384.45 & 382.898993861402 & 1.55100613859818 \tabularnewline
212 & 381.96 & 382.633707148115 & -0.67370714811513 \tabularnewline
213 & 380.81 & 382.368420434828 & -1.55842043482841 \tabularnewline
214 & 381.09 & 382.103133721542 & -1.01313372154174 \tabularnewline
215 & 382.37 & 381.837847008255 & 0.532152991744984 \tabularnewline
216 & 383.84 & 381.572560294968 & 2.26743970503165 \tabularnewline
217 & 385.42 & 386.309699103528 & -0.889699103527995 \tabularnewline
218 & 385.72 & 386.044412390241 & -0.324412390241287 \tabularnewline
219 & 385.96 & 385.779125676955 & 0.180874323045361 \tabularnewline
220 & 387.18 & 385.513838963668 & 1.66616103633209 \tabularnewline
221 & 388.5 & 385.248552250381 & 3.25144774961877 \tabularnewline
222 & 387.88 & 384.983265537095 & 2.89673446290547 \tabularnewline
223 & 386.38 & 384.717978823808 & 1.66202117619216 \tabularnewline
224 & 384.15 & 384.452692110521 & -0.302692110521157 \tabularnewline
225 & 383.07 & 384.187405397234 & -1.11740539723444 \tabularnewline
226 & 382.98 & 383.922118683948 & -0.942118683947723 \tabularnewline
227 & 384.11 & 383.656831970661 & 0.453168029338969 \tabularnewline
228 & 385.54 & 383.391545257374 & 2.14845474262567 \tabularnewline
229 & 386.92 & 388.128684065934 & -1.20868406593402 \tabularnewline
230 & 387.41 & 387.863397352647 & -0.453397352647315 \tabularnewline
231 & 388.77 & 387.598110639361 & 1.17188936063934 \tabularnewline
232 & 389.46 & 387.332823926074 & 2.12717607392603 \tabularnewline
233 & 390.18 & 387.067537212787 & 3.11246278721276 \tabularnewline
234 & 389.43 & 386.802250499501 & 2.62774950049945 \tabularnewline
235 & 387.74 & 386.536963786214 & 1.20303621378615 \tabularnewline
236 & 385.91 & 386.271677072927 & -0.361677072927136 \tabularnewline
237 & 384.77 & 386.00639035964 & -1.23639035964048 \tabularnewline
238 & 384.38 & 385.741103646354 & -1.36110364635377 \tabularnewline
239 & 385.99 & 385.475816933067 & 0.514183066932937 \tabularnewline
240 & 387.26 & 385.21053021978 & 2.04946978021962 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146440&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]353.63[/C][C]353.567969780228[/C][C]0.0620302197716749[/C][/ROW]
[ROW][C]2[/C][C]354.72[/C][C]353.302683066933[/C][C]1.41731693306715[/C][/ROW]
[ROW][C]3[/C][C]355.49[/C][C]353.037396353646[/C][C]2.45260364635385[/C][/ROW]
[ROW][C]4[/C][C]356.1[/C][C]352.772109640359[/C][C]3.32789035964056[/C][/ROW]
[ROW][C]5[/C][C]357.08[/C][C]352.506822927073[/C][C]4.57317707292722[/C][/ROW]
[ROW][C]6[/C][C]356.11[/C][C]352.241536213786[/C][C]3.86846378621394[/C][/ROW]
[ROW][C]7[/C][C]354.67[/C][C]351.976249500499[/C][C]2.69375049950064[/C][/ROW]
[ROW][C]8[/C][C]352.67[/C][C]351.710962787213[/C][C]0.959037212787338[/C][/ROW]
[ROW][C]9[/C][C]351.05[/C][C]351.445676073926[/C][C]-0.395676073925972[/C][/ROW]
[ROW][C]10[/C][C]351.36[/C][C]351.180389360639[/C][C]0.179610639360726[/C][/ROW]
[ROW][C]11[/C][C]352.81[/C][C]350.915102647353[/C][C]1.89489735264741[/C][/ROW]
[ROW][C]12[/C][C]354.21[/C][C]350.649815934066[/C][C]3.56018406593409[/C][/ROW]
[ROW][C]13[/C][C]354.87[/C][C]355.386954742626[/C][C]-0.516954742625574[/C][/ROW]
[ROW][C]14[/C][C]355.67[/C][C]355.121668029339[/C][C]0.548331970661134[/C][/ROW]
[ROW][C]15[/C][C]357[/C][C]354.856381316052[/C][C]2.14361868394781[/C][/ROW]
[ROW][C]16[/C][C]358.4[/C][C]354.591094602766[/C][C]3.80890539723449[/C][/ROW]
[ROW][C]17[/C][C]359[/C][C]354.325807889479[/C][C]4.67419211052121[/C][/ROW]
[ROW][C]18[/C][C]357.99[/C][C]354.060521176192[/C][C]3.92947882380791[/C][/ROW]
[ROW][C]19[/C][C]355.96[/C][C]353.795234462905[/C][C]2.16476553709458[/C][/ROW]
[ROW][C]20[/C][C]353.78[/C][C]353.529947749619[/C][C]0.250052250381269[/C][/ROW]
[ROW][C]21[/C][C]352.2[/C][C]353.264661036332[/C][C]-1.06466103633202[/C][/ROW]
[ROW][C]22[/C][C]352.22[/C][C]352.999374323045[/C][C]-0.779374323045285[/C][/ROW]
[ROW][C]23[/C][C]353.7[/C][C]352.734087609759[/C][C]0.965912390241374[/C][/ROW]
[ROW][C]24[/C][C]354.98[/C][C]352.468800896472[/C][C]2.5111991035281[/C][/ROW]
[ROW][C]25[/C][C]356.08[/C][C]357.205939705032[/C][C]-1.12593970503162[/C][/ROW]
[ROW][C]26[/C][C]356.84[/C][C]356.940652991745[/C][C]-0.100652991744932[/C][/ROW]
[ROW][C]27[/C][C]357.73[/C][C]356.675366278458[/C][C]1.05463372154181[/C][/ROW]
[ROW][C]28[/C][C]358.91[/C][C]356.410079565171[/C][C]2.49992043482851[/C][/ROW]
[ROW][C]29[/C][C]359.45[/C][C]356.144792851885[/C][C]3.30520714811517[/C][/ROW]
[ROW][C]30[/C][C]359.19[/C][C]355.879506138598[/C][C]3.31049386140188[/C][/ROW]
[ROW][C]31[/C][C]356.72[/C][C]355.614219425311[/C][C]1.1057805746886[/C][/ROW]
[ROW][C]32[/C][C]354.77[/C][C]355.348932712025[/C][C]-0.578932712024747[/C][/ROW]
[ROW][C]33[/C][C]352.8[/C][C]355.083645998738[/C][C]-2.28364599873802[/C][/ROW]
[ROW][C]34[/C][C]353.21[/C][C]354.818359285451[/C][C]-1.60835928545136[/C][/ROW]
[ROW][C]35[/C][C]354.15[/C][C]354.553072572165[/C][C]-0.403072572164662[/C][/ROW]
[ROW][C]36[/C][C]355.39[/C][C]354.287785858878[/C][C]1.10221414112204[/C][/ROW]
[ROW][C]37[/C][C]356.76[/C][C]359.024924667438[/C][C]-2.26492466743764[/C][/ROW]
[ROW][C]38[/C][C]357.17[/C][C]358.759637954151[/C][C]-1.58963795415092[/C][/ROW]
[ROW][C]39[/C][C]358.26[/C][C]358.494351240864[/C][C]-0.234351240864245[/C][/ROW]
[ROW][C]40[/C][C]359.17[/C][C]358.229064527578[/C][C]0.940935472422477[/C][/ROW]
[ROW][C]41[/C][C]360.07[/C][C]357.963777814291[/C][C]2.10622218570915[/C][/ROW]
[ROW][C]42[/C][C]359.41[/C][C]357.698491101004[/C][C]1.71150889899588[/C][/ROW]
[ROW][C]43[/C][C]357.36[/C][C]357.433204387717[/C][C]-0.0732043877174364[/C][/ROW]
[ROW][C]44[/C][C]355.29[/C][C]357.167917674431[/C][C]-1.87791767443073[/C][/ROW]
[ROW][C]45[/C][C]353.96[/C][C]356.902630961144[/C][C]-2.94263096114408[/C][/ROW]
[ROW][C]46[/C][C]354.03[/C][C]356.637344247857[/C][C]-2.60734424785739[/C][/ROW]
[ROW][C]47[/C][C]355.27[/C][C]356.372057534571[/C][C]-1.10205753457068[/C][/ROW]
[ROW][C]48[/C][C]356.7[/C][C]356.106770821284[/C][C]0.593229178716021[/C][/ROW]
[ROW][C]49[/C][C]358.05[/C][C]360.843909629844[/C][C]-2.79390962984364[/C][/ROW]
[ROW][C]50[/C][C]358.8[/C][C]360.578622916557[/C][C]-1.77862291655695[/C][/ROW]
[ROW][C]51[/C][C]359.67[/C][C]360.31333620327[/C][C]-0.643336203270245[/C][/ROW]
[ROW][C]52[/C][C]361.13[/C][C]360.048049489984[/C][C]1.08195051001643[/C][/ROW]
[ROW][C]53[/C][C]361.48[/C][C]359.782762776697[/C][C]1.69723722330315[/C][/ROW]
[ROW][C]54[/C][C]360.6[/C][C]359.51747606341[/C][C]1.08252393658985[/C][/ROW]
[ROW][C]55[/C][C]359.2[/C][C]359.252189350124[/C][C]-0.0521893501234865[/C][/ROW]
[ROW][C]56[/C][C]357.23[/C][C]358.986902636837[/C][C]-1.75690263683676[/C][/ROW]
[ROW][C]57[/C][C]355.42[/C][C]358.72161592355[/C][C]-3.30161592355007[/C][/ROW]
[ROW][C]58[/C][C]355.89[/C][C]358.456329210263[/C][C]-2.5663292102634[/C][/ROW]
[ROW][C]59[/C][C]357.41[/C][C]358.191042496977[/C][C]-0.781042496976664[/C][/ROW]
[ROW][C]60[/C][C]358.74[/C][C]357.92575578369[/C][C]0.814244216310016[/C][/ROW]
[ROW][C]61[/C][C]359.73[/C][C]362.66289459225[/C][C]-2.93289459224966[/C][/ROW]
[ROW][C]62[/C][C]360.61[/C][C]362.397607878963[/C][C]-1.78760787896297[/C][/ROW]
[ROW][C]63[/C][C]361.6[/C][C]362.132321165676[/C][C]-0.532321165676265[/C][/ROW]
[ROW][C]64[/C][C]363.05[/C][C]361.86703445239[/C][C]1.18296554761042[/C][/ROW]
[ROW][C]65[/C][C]363.62[/C][C]361.601747739103[/C][C]2.01825226089711[/C][/ROW]
[ROW][C]66[/C][C]363.03[/C][C]361.336461025816[/C][C]1.69353897418377[/C][/ROW]
[ROW][C]67[/C][C]361.55[/C][C]361.071174312529[/C][C]0.478825687470509[/C][/ROW]
[ROW][C]68[/C][C]358.94[/C][C]360.805887599243[/C][C]-1.86588759924281[/C][/ROW]
[ROW][C]69[/C][C]357.93[/C][C]360.540600885956[/C][C]-2.6106008859561[/C][/ROW]
[ROW][C]70[/C][C]357.8[/C][C]360.275314172669[/C][C]-2.4753141726694[/C][/ROW]
[ROW][C]71[/C][C]359.22[/C][C]360.010027459383[/C][C]-0.790027459382689[/C][/ROW]
[ROW][C]72[/C][C]360.42[/C][C]359.744740746096[/C][C]0.675259253903997[/C][/ROW]
[ROW][C]73[/C][C]361.83[/C][C]364.481879554656[/C][C]-2.65187955465572[/C][/ROW]
[ROW][C]74[/C][C]362.94[/C][C]364.216592841369[/C][C]-1.27659284136901[/C][/ROW]
[ROW][C]75[/C][C]363.91[/C][C]363.951306128082[/C][C]-0.0413061280822889[/C][/ROW]
[ROW][C]76[/C][C]364.28[/C][C]363.686019414796[/C][C]0.593980585204355[/C][/ROW]
[ROW][C]77[/C][C]364.93[/C][C]363.420732701509[/C][C]1.50926729849109[/C][/ROW]
[ROW][C]78[/C][C]364.7[/C][C]363.155445988222[/C][C]1.54455401177776[/C][/ROW]
[ROW][C]79[/C][C]363.31[/C][C]362.890159274936[/C][C]0.419840725064474[/C][/ROW]
[ROW][C]80[/C][C]361.15[/C][C]362.624872561649[/C][C]-1.47487256164885[/C][/ROW]
[ROW][C]81[/C][C]359.41[/C][C]362.359585848362[/C][C]-2.94958584836211[/C][/ROW]
[ROW][C]82[/C][C]359.34[/C][C]362.094299135075[/C][C]-2.75429913507546[/C][/ROW]
[ROW][C]83[/C][C]360.62[/C][C]361.829012421789[/C][C]-1.20901242178874[/C][/ROW]
[ROW][C]84[/C][C]361.96[/C][C]361.563725708502[/C][C]0.396274291497933[/C][/ROW]
[ROW][C]85[/C][C]362.81[/C][C]366.300864517062[/C][C]-3.49086451706173[/C][/ROW]
[ROW][C]86[/C][C]363.87[/C][C]366.035577803775[/C][C]-2.16557780377503[/C][/ROW]
[ROW][C]87[/C][C]364.25[/C][C]365.770291090488[/C][C]-1.52029109048834[/C][/ROW]
[ROW][C]88[/C][C]366.02[/C][C]365.505004377202[/C][C]0.51499562279834[/C][/ROW]
[ROW][C]89[/C][C]366.47[/C][C]365.239717663915[/C][C]1.23028233608508[/C][/ROW]
[ROW][C]90[/C][C]365.37[/C][C]364.974430950628[/C][C]0.395569049371755[/C][/ROW]
[ROW][C]91[/C][C]364.1[/C][C]364.709144237342[/C][C]-0.609144237341531[/C][/ROW]
[ROW][C]92[/C][C]361.89[/C][C]364.443857524055[/C][C]-2.55385752405487[/C][/ROW]
[ROW][C]93[/C][C]360.05[/C][C]364.178570810768[/C][C]-4.12857081076815[/C][/ROW]
[ROW][C]94[/C][C]360.49[/C][C]363.913284097481[/C][C]-3.42328409748146[/C][/ROW]
[ROW][C]95[/C][C]362.21[/C][C]363.647997384195[/C][C]-1.43799738419479[/C][/ROW]
[ROW][C]96[/C][C]364.12[/C][C]363.382710670908[/C][C]0.737289329091933[/C][/ROW]
[ROW][C]97[/C][C]365[/C][C]368.119849479468[/C][C]-3.11984947946776[/C][/ROW]
[ROW][C]98[/C][C]365.82[/C][C]367.854562766181[/C][C]-2.03456276618107[/C][/ROW]
[ROW][C]99[/C][C]366.95[/C][C]367.589276052894[/C][C]-0.639276052894375[/C][/ROW]
[ROW][C]100[/C][C]368.42[/C][C]367.323989339608[/C][C]1.09601066039235[/C][/ROW]
[ROW][C]101[/C][C]369.33[/C][C]367.058702626321[/C][C]2.27129737367901[/C][/ROW]
[ROW][C]102[/C][C]368.78[/C][C]366.793415913034[/C][C]1.9865840869657[/C][/ROW]
[ROW][C]103[/C][C]367.59[/C][C]366.528129199748[/C][C]1.0618708002524[/C][/ROW]
[ROW][C]104[/C][C]365.81[/C][C]366.262842486461[/C][C]-0.452842486460879[/C][/ROW]
[ROW][C]105[/C][C]363.83[/C][C]365.997555773174[/C][C]-2.1675557731742[/C][/ROW]
[ROW][C]106[/C][C]364.18[/C][C]365.732269059887[/C][C]-1.55226905988748[/C][/ROW]
[ROW][C]107[/C][C]365.36[/C][C]365.466982346601[/C][C]-0.106982346600779[/C][/ROW]
[ROW][C]108[/C][C]366.88[/C][C]365.201695633314[/C][C]1.6783043666859[/C][/ROW]
[ROW][C]109[/C][C]367.97[/C][C]369.938834441874[/C][C]-1.96883444187375[/C][/ROW]
[ROW][C]110[/C][C]368.83[/C][C]369.673547728587[/C][C]-0.843547728587102[/C][/ROW]
[ROW][C]111[/C][C]369.46[/C][C]369.4082610153[/C][C]0.0517389846995905[/C][/ROW]
[ROW][C]112[/C][C]370.77[/C][C]369.142974302014[/C][C]1.62702569798629[/C][/ROW]
[ROW][C]113[/C][C]370.66[/C][C]368.877687588727[/C][C]1.78231241127303[/C][/ROW]
[ROW][C]114[/C][C]370.1[/C][C]368.61240087544[/C][C]1.48759912455972[/C][/ROW]
[ROW][C]115[/C][C]369.1[/C][C]368.347114162154[/C][C]0.752885837846419[/C][/ROW]
[ROW][C]116[/C][C]366.7[/C][C]368.081827448867[/C][C]-1.38182744886692[/C][/ROW]
[ROW][C]117[/C][C]364.61[/C][C]367.81654073558[/C][C]-3.2065407355802[/C][/ROW]
[ROW][C]118[/C][C]365.17[/C][C]367.551254022294[/C][C]-2.3812540222935[/C][/ROW]
[ROW][C]119[/C][C]366.51[/C][C]367.285967309007[/C][C]-0.775967309006827[/C][/ROW]
[ROW][C]120[/C][C]367.86[/C][C]367.02068059572[/C][C]0.839319404279892[/C][/ROW]
[ROW][C]121[/C][C]369.07[/C][C]371.75781940428[/C][C]-2.68781940427981[/C][/ROW]
[ROW][C]122[/C][C]369.32[/C][C]371.492532690993[/C][C]-2.17253269099312[/C][/ROW]
[ROW][C]123[/C][C]370.38[/C][C]371.227245977706[/C][C]-0.847245977706419[/C][/ROW]
[ROW][C]124[/C][C]371.63[/C][C]370.96195926442[/C][C]0.668040735580277[/C][/ROW]
[ROW][C]125[/C][C]371.32[/C][C]370.696672551133[/C][C]0.623327448866971[/C][/ROW]
[ROW][C]126[/C][C]371.51[/C][C]370.431385837846[/C][C]1.07861416215367[/C][/ROW]
[ROW][C]127[/C][C]369.69[/C][C]370.16609912456[/C][C]-0.476099124559631[/C][/ROW]
[ROW][C]128[/C][C]368.18[/C][C]369.900812411273[/C][C]-1.72081241127293[/C][/ROW]
[ROW][C]129[/C][C]366.87[/C][C]369.635525697986[/C][C]-2.76552569798623[/C][/ROW]
[ROW][C]130[/C][C]366.94[/C][C]369.3702389847[/C][C]-2.43023898469954[/C][/ROW]
[ROW][C]131[/C][C]368.27[/C][C]369.104952271413[/C][C]-0.834952271412862[/C][/ROW]
[ROW][C]132[/C][C]369.62[/C][C]368.839665558126[/C][C]0.780334441873857[/C][/ROW]
[ROW][C]133[/C][C]370.47[/C][C]373.576804366686[/C][C]-3.10680436668581[/C][/ROW]
[ROW][C]134[/C][C]371.44[/C][C]373.311517653399[/C][C]-1.87151765339914[/C][/ROW]
[ROW][C]135[/C][C]372.39[/C][C]373.046230940112[/C][C]-0.656230940112454[/C][/ROW]
[ROW][C]136[/C][C]373.32[/C][C]372.780944226826[/C][C]0.539055773174249[/C][/ROW]
[ROW][C]137[/C][C]373.77[/C][C]372.515657513539[/C][C]1.25434248646093[/C][/ROW]
[ROW][C]138[/C][C]373.13[/C][C]372.250370800252[/C][C]0.879629199747644[/C][/ROW]
[ROW][C]139[/C][C]371.51[/C][C]371.985084086966[/C][C]-0.475084086965664[/C][/ROW]
[ROW][C]140[/C][C]369.59[/C][C]371.719797373679[/C][C]-2.12979737367898[/C][/ROW]
[ROW][C]141[/C][C]368.12[/C][C]371.454510660392[/C][C]-3.33451066039226[/C][/ROW]
[ROW][C]142[/C][C]368.38[/C][C]371.189223947106[/C][C]-2.80922394710557[/C][/ROW]
[ROW][C]143[/C][C]369.64[/C][C]370.923937233819[/C][C]-1.28393723381888[/C][/ROW]
[ROW][C]144[/C][C]371.11[/C][C]370.658650520532[/C][C]0.451349479467841[/C][/ROW]
[ROW][C]145[/C][C]372.38[/C][C]375.395789329092[/C][C]-3.01578932909186[/C][/ROW]
[ROW][C]146[/C][C]373.08[/C][C]375.130502615805[/C][C]-2.05050261580518[/C][/ROW]
[ROW][C]147[/C][C]373.87[/C][C]374.865215902518[/C][C]-0.995215902518461[/C][/ROW]
[ROW][C]148[/C][C]374.93[/C][C]374.599929189232[/C][C]0.330070810768238[/C][/ROW]
[ROW][C]149[/C][C]375.58[/C][C]374.334642475945[/C][C]1.24535752405491[/C][/ROW]
[ROW][C]150[/C][C]375.44[/C][C]374.069355762658[/C][C]1.37064423734162[/C][/ROW]
[ROW][C]151[/C][C]373.91[/C][C]373.804069049372[/C][C]0.105930950628345[/C][/ROW]
[ROW][C]152[/C][C]371.77[/C][C]373.538782336085[/C][C]-1.768782336085[/C][/ROW]
[ROW][C]153[/C][C]370.72[/C][C]373.273495622798[/C][C]-2.55349562279826[/C][/ROW]
[ROW][C]154[/C][C]370.5[/C][C]373.008208909512[/C][C]-2.50820890951159[/C][/ROW]
[ROW][C]155[/C][C]372.19[/C][C]372.742922196225[/C][C]-0.552922196224896[/C][/ROW]
[ROW][C]156[/C][C]373.71[/C][C]372.477635482938[/C][C]1.23236451706178[/C][/ROW]
[ROW][C]157[/C][C]374.92[/C][C]377.214774291498[/C][C]-2.29477429149787[/C][/ROW]
[ROW][C]158[/C][C]375.63[/C][C]376.949487578211[/C][C]-1.31948757821119[/C][/ROW]
[ROW][C]159[/C][C]376.51[/C][C]376.684200864924[/C][C]-0.174200864924499[/C][/ROW]
[ROW][C]160[/C][C]377.75[/C][C]376.418914151638[/C][C]1.33108584836221[/C][/ROW]
[ROW][C]161[/C][C]378.54[/C][C]376.153627438351[/C][C]2.38637256164892[/C][/ROW]
[ROW][C]162[/C][C]378.21[/C][C]375.888340725064[/C][C]2.32165927493558[/C][/ROW]
[ROW][C]163[/C][C]376.65[/C][C]375.623054011778[/C][C]1.02694598822227[/C][/ROW]
[ROW][C]164[/C][C]374.28[/C][C]375.357767298491[/C][C]-1.07776729849104[/C][/ROW]
[ROW][C]165[/C][C]373.12[/C][C]375.092480585204[/C][C]-1.97248058520431[/C][/ROW]
[ROW][C]166[/C][C]373.1[/C][C]374.827193871918[/C][C]-1.72719387191759[/C][/ROW]
[ROW][C]167[/C][C]374.67[/C][C]374.561907158631[/C][C]0.108092841369096[/C][/ROW]
[ROW][C]168[/C][C]375.97[/C][C]374.296620445344[/C][C]1.6733795546558[/C][/ROW]
[ROW][C]169[/C][C]377.03[/C][C]379.033759253904[/C][C]-2.00375925390394[/C][/ROW]
[ROW][C]170[/C][C]377.87[/C][C]378.768472540617[/C][C]-0.898472540617207[/C][/ROW]
[ROW][C]171[/C][C]378.88[/C][C]378.503185827331[/C][C]0.376814172669481[/C][/ROW]
[ROW][C]172[/C][C]380.42[/C][C]378.237899114044[/C][C]2.1821008859562[/C][/ROW]
[ROW][C]173[/C][C]380.62[/C][C]377.972612400757[/C][C]2.64738759924288[/C][/ROW]
[ROW][C]174[/C][C]379.66[/C][C]377.70732568747[/C][C]1.9526743125296[/C][/ROW]
[ROW][C]175[/C][C]377.48[/C][C]377.442038974184[/C][C]0.0379610258162889[/C][/ROW]
[ROW][C]176[/C][C]376.07[/C][C]377.176752260897[/C][C]-1.10675226089704[/C][/ROW]
[ROW][C]177[/C][C]374.1[/C][C]376.91146554761[/C][C]-2.81146554761031[/C][/ROW]
[ROW][C]178[/C][C]374.47[/C][C]376.646178834324[/C][C]-2.17617883432361[/C][/ROW]
[ROW][C]179[/C][C]376.15[/C][C]376.380892121037[/C][C]-0.230892121036968[/C][/ROW]
[ROW][C]180[/C][C]377.51[/C][C]376.11560540775[/C][C]1.39439459224974[/C][/ROW]
[ROW][C]181[/C][C]378.43[/C][C]380.85274421631[/C][C]-2.42274421630993[/C][/ROW]
[ROW][C]182[/C][C]379.7[/C][C]380.587457503023[/C][C]-0.887457503023249[/C][/ROW]
[ROW][C]183[/C][C]380.91[/C][C]380.322170789737[/C][C]0.587829210263484[/C][/ROW]
[ROW][C]184[/C][C]382.2[/C][C]380.05688407645[/C][C]2.14311592355014[/C][/ROW]
[ROW][C]185[/C][C]382.45[/C][C]379.791597363163[/C][C]2.65840263683684[/C][/ROW]
[ROW][C]186[/C][C]382.14[/C][C]379.526310649876[/C][C]2.61368935012353[/C][/ROW]
[ROW][C]187[/C][C]380.6[/C][C]379.26102393659[/C][C]1.33897606341027[/C][/ROW]
[ROW][C]188[/C][C]378.6[/C][C]378.995737223303[/C][C]-0.395737223303036[/C][/ROW]
[ROW][C]189[/C][C]376.72[/C][C]378.730450510016[/C][C]-2.01045051001634[/C][/ROW]
[ROW][C]190[/C][C]376.98[/C][C]378.46516379673[/C][C]-1.48516379672965[/C][/ROW]
[ROW][C]191[/C][C]378.29[/C][C]378.199877083443[/C][C]0.0901229165570505[/C][/ROW]
[ROW][C]192[/C][C]380.07[/C][C]377.934590370156[/C][C]2.13540962984372[/C][/ROW]
[ROW][C]193[/C][C]381.36[/C][C]382.671729178716[/C][C]-1.31172917871595[/C][/ROW]
[ROW][C]194[/C][C]382.19[/C][C]382.406442465429[/C][C]-0.216442465429265[/C][/ROW]
[ROW][C]195[/C][C]382.65[/C][C]382.141155752143[/C][C]0.508844247857411[/C][/ROW]
[ROW][C]196[/C][C]384.65[/C][C]381.875869038856[/C][C]2.77413096114411[/C][/ROW]
[ROW][C]197[/C][C]384.94[/C][C]381.610582325569[/C][C]3.32941767443082[/C][/ROW]
[ROW][C]198[/C][C]384.01[/C][C]381.345295612282[/C][C]2.66470438771751[/C][/ROW]
[ROW][C]199[/C][C]382.15[/C][C]381.080008898996[/C][C]1.0699911010042[/C][/ROW]
[ROW][C]200[/C][C]380.33[/C][C]380.814722185709[/C][C]-0.4847221857091[/C][/ROW]
[ROW][C]201[/C][C]378.81[/C][C]380.549435472422[/C][C]-1.73943547242239[/C][/ROW]
[ROW][C]202[/C][C]379.06[/C][C]380.284148759136[/C][C]-1.22414875913569[/C][/ROW]
[ROW][C]203[/C][C]380.17[/C][C]380.018862045849[/C][C]0.151137954151021[/C][/ROW]
[ROW][C]204[/C][C]381.85[/C][C]379.753575332562[/C][C]2.09642466743772[/C][/ROW]
[ROW][C]205[/C][C]382.88[/C][C]384.490714141122[/C][C]-1.61071414112199[/C][/ROW]
[ROW][C]206[/C][C]383.77[/C][C]384.225427427835[/C][C]-0.455427427835306[/C][/ROW]
[ROW][C]207[/C][C]384.42[/C][C]383.960140714549[/C][C]0.459859285451425[/C][/ROW]
[ROW][C]208[/C][C]386.36[/C][C]383.694854001262[/C][C]2.66514599873812[/C][/ROW]
[ROW][C]209[/C][C]386.53[/C][C]383.429567287975[/C][C]3.10043271202477[/C][/ROW]
[ROW][C]210[/C][C]386.01[/C][C]383.164280574689[/C][C]2.84571942531149[/C][/ROW]
[ROW][C]211[/C][C]384.45[/C][C]382.898993861402[/C][C]1.55100613859818[/C][/ROW]
[ROW][C]212[/C][C]381.96[/C][C]382.633707148115[/C][C]-0.67370714811513[/C][/ROW]
[ROW][C]213[/C][C]380.81[/C][C]382.368420434828[/C][C]-1.55842043482841[/C][/ROW]
[ROW][C]214[/C][C]381.09[/C][C]382.103133721542[/C][C]-1.01313372154174[/C][/ROW]
[ROW][C]215[/C][C]382.37[/C][C]381.837847008255[/C][C]0.532152991744984[/C][/ROW]
[ROW][C]216[/C][C]383.84[/C][C]381.572560294968[/C][C]2.26743970503165[/C][/ROW]
[ROW][C]217[/C][C]385.42[/C][C]386.309699103528[/C][C]-0.889699103527995[/C][/ROW]
[ROW][C]218[/C][C]385.72[/C][C]386.044412390241[/C][C]-0.324412390241287[/C][/ROW]
[ROW][C]219[/C][C]385.96[/C][C]385.779125676955[/C][C]0.180874323045361[/C][/ROW]
[ROW][C]220[/C][C]387.18[/C][C]385.513838963668[/C][C]1.66616103633209[/C][/ROW]
[ROW][C]221[/C][C]388.5[/C][C]385.248552250381[/C][C]3.25144774961877[/C][/ROW]
[ROW][C]222[/C][C]387.88[/C][C]384.983265537095[/C][C]2.89673446290547[/C][/ROW]
[ROW][C]223[/C][C]386.38[/C][C]384.717978823808[/C][C]1.66202117619216[/C][/ROW]
[ROW][C]224[/C][C]384.15[/C][C]384.452692110521[/C][C]-0.302692110521157[/C][/ROW]
[ROW][C]225[/C][C]383.07[/C][C]384.187405397234[/C][C]-1.11740539723444[/C][/ROW]
[ROW][C]226[/C][C]382.98[/C][C]383.922118683948[/C][C]-0.942118683947723[/C][/ROW]
[ROW][C]227[/C][C]384.11[/C][C]383.656831970661[/C][C]0.453168029338969[/C][/ROW]
[ROW][C]228[/C][C]385.54[/C][C]383.391545257374[/C][C]2.14845474262567[/C][/ROW]
[ROW][C]229[/C][C]386.92[/C][C]388.128684065934[/C][C]-1.20868406593402[/C][/ROW]
[ROW][C]230[/C][C]387.41[/C][C]387.863397352647[/C][C]-0.453397352647315[/C][/ROW]
[ROW][C]231[/C][C]388.77[/C][C]387.598110639361[/C][C]1.17188936063934[/C][/ROW]
[ROW][C]232[/C][C]389.46[/C][C]387.332823926074[/C][C]2.12717607392603[/C][/ROW]
[ROW][C]233[/C][C]390.18[/C][C]387.067537212787[/C][C]3.11246278721276[/C][/ROW]
[ROW][C]234[/C][C]389.43[/C][C]386.802250499501[/C][C]2.62774950049945[/C][/ROW]
[ROW][C]235[/C][C]387.74[/C][C]386.536963786214[/C][C]1.20303621378615[/C][/ROW]
[ROW][C]236[/C][C]385.91[/C][C]386.271677072927[/C][C]-0.361677072927136[/C][/ROW]
[ROW][C]237[/C][C]384.77[/C][C]386.00639035964[/C][C]-1.23639035964048[/C][/ROW]
[ROW][C]238[/C][C]384.38[/C][C]385.741103646354[/C][C]-1.36110364635377[/C][/ROW]
[ROW][C]239[/C][C]385.99[/C][C]385.475816933067[/C][C]0.514183066932937[/C][/ROW]
[ROW][C]240[/C][C]387.26[/C][C]385.21053021978[/C][C]2.04946978021962[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146440&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146440&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1353.63353.5679697802280.0620302197716749
2354.72353.3026830669331.41731693306715
3355.49353.0373963536462.45260364635385
4356.1352.7721096403593.32789035964056
5357.08352.5068229270734.57317707292722
6356.11352.2415362137863.86846378621394
7354.67351.9762495004992.69375049950064
8352.67351.7109627872130.959037212787338
9351.05351.445676073926-0.395676073925972
10351.36351.1803893606390.179610639360726
11352.81350.9151026473531.89489735264741
12354.21350.6498159340663.56018406593409
13354.87355.386954742626-0.516954742625574
14355.67355.1216680293390.548331970661134
15357354.8563813160522.14361868394781
16358.4354.5910946027663.80890539723449
17359354.3258078894794.67419211052121
18357.99354.0605211761923.92947882380791
19355.96353.7952344629052.16476553709458
20353.78353.5299477496190.250052250381269
21352.2353.264661036332-1.06466103633202
22352.22352.999374323045-0.779374323045285
23353.7352.7340876097590.965912390241374
24354.98352.4688008964722.5111991035281
25356.08357.205939705032-1.12593970503162
26356.84356.940652991745-0.100652991744932
27357.73356.6753662784581.05463372154181
28358.91356.4100795651712.49992043482851
29359.45356.1447928518853.30520714811517
30359.19355.8795061385983.31049386140188
31356.72355.6142194253111.1057805746886
32354.77355.348932712025-0.578932712024747
33352.8355.083645998738-2.28364599873802
34353.21354.818359285451-1.60835928545136
35354.15354.553072572165-0.403072572164662
36355.39354.2877858588781.10221414112204
37356.76359.024924667438-2.26492466743764
38357.17358.759637954151-1.58963795415092
39358.26358.494351240864-0.234351240864245
40359.17358.2290645275780.940935472422477
41360.07357.9637778142912.10622218570915
42359.41357.6984911010041.71150889899588
43357.36357.433204387717-0.0732043877174364
44355.29357.167917674431-1.87791767443073
45353.96356.902630961144-2.94263096114408
46354.03356.637344247857-2.60734424785739
47355.27356.372057534571-1.10205753457068
48356.7356.1067708212840.593229178716021
49358.05360.843909629844-2.79390962984364
50358.8360.578622916557-1.77862291655695
51359.67360.31333620327-0.643336203270245
52361.13360.0480494899841.08195051001643
53361.48359.7827627766971.69723722330315
54360.6359.517476063411.08252393658985
55359.2359.252189350124-0.0521893501234865
56357.23358.986902636837-1.75690263683676
57355.42358.72161592355-3.30161592355007
58355.89358.456329210263-2.5663292102634
59357.41358.191042496977-0.781042496976664
60358.74357.925755783690.814244216310016
61359.73362.66289459225-2.93289459224966
62360.61362.397607878963-1.78760787896297
63361.6362.132321165676-0.532321165676265
64363.05361.867034452391.18296554761042
65363.62361.6017477391032.01825226089711
66363.03361.3364610258161.69353897418377
67361.55361.0711743125290.478825687470509
68358.94360.805887599243-1.86588759924281
69357.93360.540600885956-2.6106008859561
70357.8360.275314172669-2.4753141726694
71359.22360.010027459383-0.790027459382689
72360.42359.7447407460960.675259253903997
73361.83364.481879554656-2.65187955465572
74362.94364.216592841369-1.27659284136901
75363.91363.951306128082-0.0413061280822889
76364.28363.6860194147960.593980585204355
77364.93363.4207327015091.50926729849109
78364.7363.1554459882221.54455401177776
79363.31362.8901592749360.419840725064474
80361.15362.624872561649-1.47487256164885
81359.41362.359585848362-2.94958584836211
82359.34362.094299135075-2.75429913507546
83360.62361.829012421789-1.20901242178874
84361.96361.5637257085020.396274291497933
85362.81366.300864517062-3.49086451706173
86363.87366.035577803775-2.16557780377503
87364.25365.770291090488-1.52029109048834
88366.02365.5050043772020.51499562279834
89366.47365.2397176639151.23028233608508
90365.37364.9744309506280.395569049371755
91364.1364.709144237342-0.609144237341531
92361.89364.443857524055-2.55385752405487
93360.05364.178570810768-4.12857081076815
94360.49363.913284097481-3.42328409748146
95362.21363.647997384195-1.43799738419479
96364.12363.3827106709080.737289329091933
97365368.119849479468-3.11984947946776
98365.82367.854562766181-2.03456276618107
99366.95367.589276052894-0.639276052894375
100368.42367.3239893396081.09601066039235
101369.33367.0587026263212.27129737367901
102368.78366.7934159130341.9865840869657
103367.59366.5281291997481.0618708002524
104365.81366.262842486461-0.452842486460879
105363.83365.997555773174-2.1675557731742
106364.18365.732269059887-1.55226905988748
107365.36365.466982346601-0.106982346600779
108366.88365.2016956333141.6783043666859
109367.97369.938834441874-1.96883444187375
110368.83369.673547728587-0.843547728587102
111369.46369.40826101530.0517389846995905
112370.77369.1429743020141.62702569798629
113370.66368.8776875887271.78231241127303
114370.1368.612400875441.48759912455972
115369.1368.3471141621540.752885837846419
116366.7368.081827448867-1.38182744886692
117364.61367.81654073558-3.2065407355802
118365.17367.551254022294-2.3812540222935
119366.51367.285967309007-0.775967309006827
120367.86367.020680595720.839319404279892
121369.07371.75781940428-2.68781940427981
122369.32371.492532690993-2.17253269099312
123370.38371.227245977706-0.847245977706419
124371.63370.961959264420.668040735580277
125371.32370.6966725511330.623327448866971
126371.51370.4313858378461.07861416215367
127369.69370.16609912456-0.476099124559631
128368.18369.900812411273-1.72081241127293
129366.87369.635525697986-2.76552569798623
130366.94369.3702389847-2.43023898469954
131368.27369.104952271413-0.834952271412862
132369.62368.8396655581260.780334441873857
133370.47373.576804366686-3.10680436668581
134371.44373.311517653399-1.87151765339914
135372.39373.046230940112-0.656230940112454
136373.32372.7809442268260.539055773174249
137373.77372.5156575135391.25434248646093
138373.13372.2503708002520.879629199747644
139371.51371.985084086966-0.475084086965664
140369.59371.719797373679-2.12979737367898
141368.12371.454510660392-3.33451066039226
142368.38371.189223947106-2.80922394710557
143369.64370.923937233819-1.28393723381888
144371.11370.6586505205320.451349479467841
145372.38375.395789329092-3.01578932909186
146373.08375.130502615805-2.05050261580518
147373.87374.865215902518-0.995215902518461
148374.93374.5999291892320.330070810768238
149375.58374.3346424759451.24535752405491
150375.44374.0693557626581.37064423734162
151373.91373.8040690493720.105930950628345
152371.77373.538782336085-1.768782336085
153370.72373.273495622798-2.55349562279826
154370.5373.008208909512-2.50820890951159
155372.19372.742922196225-0.552922196224896
156373.71372.4776354829381.23236451706178
157374.92377.214774291498-2.29477429149787
158375.63376.949487578211-1.31948757821119
159376.51376.684200864924-0.174200864924499
160377.75376.4189141516381.33108584836221
161378.54376.1536274383512.38637256164892
162378.21375.8883407250642.32165927493558
163376.65375.6230540117781.02694598822227
164374.28375.357767298491-1.07776729849104
165373.12375.092480585204-1.97248058520431
166373.1374.827193871918-1.72719387191759
167374.67374.5619071586310.108092841369096
168375.97374.2966204453441.6733795546558
169377.03379.033759253904-2.00375925390394
170377.87378.768472540617-0.898472540617207
171378.88378.5031858273310.376814172669481
172380.42378.2378991140442.1821008859562
173380.62377.9726124007572.64738759924288
174379.66377.707325687471.9526743125296
175377.48377.4420389741840.0379610258162889
176376.07377.176752260897-1.10675226089704
177374.1376.91146554761-2.81146554761031
178374.47376.646178834324-2.17617883432361
179376.15376.380892121037-0.230892121036968
180377.51376.115605407751.39439459224974
181378.43380.85274421631-2.42274421630993
182379.7380.587457503023-0.887457503023249
183380.91380.3221707897370.587829210263484
184382.2380.056884076452.14311592355014
185382.45379.7915973631632.65840263683684
186382.14379.5263106498762.61368935012353
187380.6379.261023936591.33897606341027
188378.6378.995737223303-0.395737223303036
189376.72378.730450510016-2.01045051001634
190376.98378.46516379673-1.48516379672965
191378.29378.1998770834430.0901229165570505
192380.07377.9345903701562.13540962984372
193381.36382.671729178716-1.31172917871595
194382.19382.406442465429-0.216442465429265
195382.65382.1411557521430.508844247857411
196384.65381.8758690388562.77413096114411
197384.94381.6105823255693.32941767443082
198384.01381.3452956122822.66470438771751
199382.15381.0800088989961.0699911010042
200380.33380.814722185709-0.4847221857091
201378.81380.549435472422-1.73943547242239
202379.06380.284148759136-1.22414875913569
203380.17380.0188620458490.151137954151021
204381.85379.7535753325622.09642466743772
205382.88384.490714141122-1.61071414112199
206383.77384.225427427835-0.455427427835306
207384.42383.9601407145490.459859285451425
208386.36383.6948540012622.66514599873812
209386.53383.4295672879753.10043271202477
210386.01383.1642805746892.84571942531149
211384.45382.8989938614021.55100613859818
212381.96382.633707148115-0.67370714811513
213380.81382.368420434828-1.55842043482841
214381.09382.103133721542-1.01313372154174
215382.37381.8378470082550.532152991744984
216383.84381.5725602949682.26743970503165
217385.42386.309699103528-0.889699103527995
218385.72386.044412390241-0.324412390241287
219385.96385.7791256769550.180874323045361
220387.18385.5138389636681.66616103633209
221388.5385.2485522503813.25144774961877
222387.88384.9832655370952.89673446290547
223386.38384.7179788238081.66202117619216
224384.15384.452692110521-0.302692110521157
225383.07384.187405397234-1.11740539723444
226382.98383.922118683948-0.942118683947723
227384.11383.6568319706610.453168029338969
228385.54383.3915452573742.14845474262567
229386.92388.128684065934-1.20868406593402
230387.41387.863397352647-0.453397352647315
231388.77387.5981106393611.17188936063934
232389.46387.3328239260742.12717607392603
233390.18387.0675372127873.11246278721276
234389.43386.8022504995012.62774950049945
235387.74386.5369637862141.20303621378615
236385.91386.271677072927-0.361677072927136
237384.77386.00639035964-1.23639035964048
238384.38385.741103646354-1.36110364635377
239385.99385.4758169330670.514183066932937
240387.26385.210530219782.04946978021962







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.07498598111783090.1499719622356620.925014018882169
70.2285460345769910.4570920691539830.771453965423009
80.4981524386743730.9963048773487460.501847561325627
90.6769524470947890.6460951058104230.323047552905211
100.6259726429208070.7480547141583860.374027357079193
110.5347587955196780.9304824089606440.465241204480322
120.5524492934983850.8951014130032310.447550706501615
130.4554944013375990.9109888026751980.544505598662401
140.381270047941820.762540095883640.61872995205818
150.3843128919216970.7686257838433940.615687108078303
160.5009614606149180.9980770787701640.499038539385082
170.6300608471411620.7398783057176760.369939152858838
180.6301443485308720.7397113029382570.369855651469128
190.5782279223231870.8435441553536260.421772077676813
200.6152927470614750.7694145058770510.384707252938525
210.7184128621316530.5631742757366940.281587137868347
220.7354221615092320.5291556769815360.264577838490768
230.6838201345126380.6323597309747250.316179865487362
240.6745883390727870.6508233218544250.325411660927213
250.6797278821238040.6405442357523920.320272117876196
260.6268832920567520.7462334158864950.373116707943248
270.5825656783982380.8348686432035240.417434321601762
280.6088381311294750.782323737741050.391161868870525
290.6813037844389330.6373924311221350.318696215561067
300.7315977727679280.5368044544641430.268402227232072
310.6944858080237350.6110283839525290.305514191976265
320.6918003622470980.6163992755058050.308199637752902
330.7748542835575740.4502914328848520.225145716442426
340.7819445384978340.4361109230043320.218055461502166
350.7457160066358430.5085679867283130.254283993364156
360.7235923668224130.5528152663551730.276407633177587
370.7415806861067480.5168386277865030.258419313893252
380.7147032663408020.5705934673183960.285296733659198
390.672770270747890.654459458504220.32722972925211
400.6630652659610510.6738694680778990.336934734038949
410.7166116503100280.5667766993799430.283388349689972
420.7347926413259880.5304147173480250.265207358674013
430.6967630204320630.6064739591358730.303236979567937
440.6878260965576670.6243478068846670.312173903442333
450.7236883258459150.552623348308170.276311674154085
460.7265408631348960.5469182737302080.273459136865104
470.6862376201361270.6275247597277460.313762379863873
480.6780357917084240.6439284165831520.321964208291576
490.6738689531415760.6522620937168470.326131046858424
500.6345891904868770.7308216190262460.365410809513123
510.5979655856746830.8040688286506330.402034414325317
520.6353614696123950.729277060775210.364638530387605
530.704890200332530.5902195993349410.29510979966747
540.7245364843436360.5509270313127280.275463515656364
550.6984550289840730.6030899420318550.301544971015928
560.6659031892680150.6681936214639710.334096810731985
570.6873478974510210.6253042050979580.312652102548979
580.669782828105310.6604343437893810.330217171894691
590.6345639762015630.7308720475968740.365436023798437
600.6557436821596850.6885126356806310.344256317840315
610.6455476397451580.7089047205096830.354452360254842
620.6070067433187090.7859865133625820.392993256681291
630.5811042139690020.8377915720619960.418895786030998
640.6377584413769350.7244831172461290.362241558623065
650.7415822789151810.5168354421696380.258417721084819
660.8009061570229910.3981876859540190.19909384297701
670.7991106514340410.4017786971319180.200889348565959
680.7734271900030780.4531456199938450.226572809996922
690.7607314704169090.4785370591661820.239268529583091
700.7424193202304840.5151613595390310.257580679769516
710.7131259728271060.5737480543457880.286874027172894
720.7260078095641750.5479843808716510.273992190435826
730.7090178525300840.5819642949398320.290982147469916
740.6749334333963150.6501331332073710.325066566603685
750.6638249105879260.6723501788241490.336175089412074
760.6769387386527730.6461225226944540.323061261347227
770.736583800447520.5268323991049590.26341619955248
780.7879880725512890.4240238548974230.212011927448711
790.7861793102778520.4276413794442950.213820689722147
800.7569577946414570.4860844107170870.243042205358543
810.7541313120944330.4917373758111350.245868687905567
820.7436496364654530.5127007270690940.256350363534547
830.7123085277788830.5753829444422340.287691472221117
840.7144259138483310.5711481723033370.285574086151669
850.7290811661010940.5418376677978110.270918833898906
860.7027573812626860.5944852374746280.297242618737314
870.6700345072890490.6599309854219020.329965492710951
880.6821600885497540.6356798229004910.317839911450246
890.7274042728888890.5451914542222210.272595727111111
900.7294543737612290.5410912524775410.27054562623877
910.7036587483540310.5926825032919380.296341251645969
920.6865927680005750.6268144639988510.313407231999425
930.7365387101877570.5269225796244860.263461289812243
940.7491634355104270.5016731289791460.250836564489573
950.7212765432260850.557446913547830.278723456773915
960.7413931836447480.5172136327105040.258606816355252
970.7416855261424940.5166289477150120.258314473857506
980.7174659004550680.5650681990898640.282534099544932
990.6961964534873930.6076070930252130.303803546512607
1000.7353344292256350.529331141548730.264665570774365
1010.8304655475033410.3390689049933170.169534452496659
1020.8858871177808610.2282257644382780.114112882219139
1030.900477291501870.1990454169962610.0995227084981304
1040.8875997319650530.2248005360698940.112400268034947
1050.8746198822394290.2507602355211420.125380117760571
1060.8558389052873870.2883221894252260.144161094712613
1070.844473523071970.311052953856060.15552647692803
1080.8813276061985690.2373447876028620.118672393801431
1090.8658293620871760.2683412758256480.134170637912824
1100.846760126280690.3064797474386190.15323987371931
1110.8373713554295480.3252572891409040.162628644570452
1120.8730094509202630.2539810981594730.126990549079737
1130.9068619291212510.1862761417574970.0931380708787487
1140.9264853472199840.1470293055600320.0735146527800159
1150.929781102531150.1404377949377010.0702188974688503
1160.9165683488103520.1668633023792960.0834316511896482
1170.9212805937511970.1574388124976060.078719406248803
1180.914041346071970.1719173078560610.0859586539280305
1190.8996395614536720.2007208770926560.100360438546328
1200.9050883580997420.1898232838005160.0949116419002581
1210.9012772267914790.1974455464170410.0987227732085205
1220.8905238988482850.218952202303430.109476101151715
1230.8732126985239520.2535746029520970.126787301476048
1240.8753281698509610.2493436602980780.124671830149039
1250.8762507578919830.2474984842160340.123749242108017
1260.8881558526682940.2236882946634110.111844147331706
1270.8724580495751950.2550839008496110.127541950424805
1280.8544507039176290.2910985921647420.145549296082371
1290.8523919116932090.2952161766135810.14760808830679
1300.8439949633032140.3120100733935720.156005036696786
1310.8218747750027690.3562504499944620.178125224997231
1320.8256346193842080.3487307612315850.174365380615792
1330.8354984618589550.3290030762820910.164501538141045
1340.8186273301299630.3627453397400730.181372669870037
1350.7955808512696530.4088382974606940.204419148730347
1360.7912278827330720.4175442345338560.208772117266928
1370.8103330771132160.3793338457735670.189666922886784
1380.8157257780181470.3685484439637070.184274221981853
1390.7927589063025320.4144821873949360.207241093697468
1400.7773081790166050.4453836419667910.222691820983396
1410.8019064661612250.396187067677550.198093533838775
1420.8093097474676640.3813805050646730.190690252532336
1430.7867150713822760.4265698572354470.213284928617724
1440.7761287592232030.4477424815535940.223871240776797
1450.7954800457198190.4090399085603620.204519954280181
1460.7873573615947040.4252852768105910.212642638405296
1470.7638626226424810.4722747547150380.236137377357519
1480.7485285817130950.502942836573810.251471418286905
1490.7597615325983690.4804769348032620.240238467401631
1500.7752682541258640.4494634917482710.224731745874136
1510.7546028360701210.4907943278597580.245397163929879
1520.7379898839933490.5240202320133020.262010116006651
1530.7481284788811060.5037430422377880.251871521118894
1540.7611362271822680.4777275456354630.238863772817731
1550.7353451644262830.5293096711474350.264654835573717
1560.7388050391204540.5223899217590920.261194960879546
1570.7484585004780720.5030829990438560.251541499521928
1580.7330857765261470.5338284469477060.266914223473853
1590.7073623711332940.5852752577334120.292637628866706
1600.7107214085277040.5785571829445920.289278591472296
1610.7633496903553720.4733006192892560.236650309644628
1620.8081887007759320.3836225984481350.191811299224068
1630.8021604260128580.3956791479742830.197839573987142
1640.7795237161356990.4409525677286010.220476283864301
1650.7777882941827210.4444234116345580.222211705817279
1660.7722310559952310.4555378880095380.227768944004769
1670.745874495133710.508251009732580.25412550486629
1680.7555322368580490.4889355262839020.244467763141951
1690.7633886453131090.4732227093737830.236611354686891
1700.7437641961100080.5124716077799840.256235803889992
1710.7173005300002830.5653989399994350.282699469999717
1720.7444467816601960.5111064366796080.255553218339804
1730.796220006504470.4075599869910610.20377999349553
1740.8137783031234650.3724433937530710.186221696876535
1750.7864808593441510.4270382813116970.213519140655849
1760.7640811459682930.4718377080634130.235918854031707
1770.808003053202950.3839938935940990.19199694679705
1780.8289635147316870.3420729705366270.171036485268313
1790.8058531244867350.3882937510265310.194146875513265
1800.7938830584497320.4122338831005360.206116941550268
1810.8353499613599870.3293000772800260.164650038640013
1820.8273677786420530.3452644427158940.172632221357947
1830.8034964451132970.3930071097734070.196503554886703
1840.8088022556526380.3823954886947240.191197744347362
1850.836728637220970.3265427255580590.16327136277903
1860.8637750376038110.2724499247923780.136224962396189
1870.8523923128095180.2952153743809640.147607687190482
1880.8279034358437970.3441931283124060.172096564156203
1890.8471789576678770.3056420846642460.152821042332123
1900.8545038647637990.2909922704724030.145496135236201
1910.8314058019515350.337188396096930.168594198048465
1920.8303557897174690.3392884205650620.169644210282531
1930.8356980236661170.3286039526677660.164301976333883
1940.8159540780460460.3680918439079070.184045921953954
1950.7865763444412430.4268473111175140.213423655558757
1960.8074463253644970.3851073492710060.192553674635503
1970.8624281604893850.275143679021230.137571839510615
1980.8870104631981120.2259790736037770.112989536801888
1990.8686104371002630.2627791257994740.131389562899737
2000.8436577155373950.3126845689252090.156342284462605
2010.8563404456587330.2873191086825340.143659554341267
2020.8595959670304580.2808080659390840.140404032969542
2030.8340928323886060.3318143352227880.165907167611394
2040.8224140745743270.3551718508513450.177585925425673
2050.847085716994340.3058285660113190.15291428300566
2060.8361834633377870.3276330733244260.163816536662213
2070.8059034478364690.3881931043270630.194096552163532
2080.8083554041888770.3832891916222450.191644595811123
2090.8446104672019780.3107790655960440.155389532798022
2100.8778197064503620.2443605870992770.122180293549638
2110.8655295477875590.2689409044248820.134470452212441
2120.8385640812939110.3228718374121770.161435918706089
2130.8506280235266880.2987439529466250.149371976473312
2140.8549747765035240.2900504469929520.145025223496476
2150.8204695682292770.3590608635414450.179530431770723
2160.8013034357999360.3973931284001280.198696564200064
2170.7979989848108330.4040020303783350.202001015189167
2180.7816086271387660.4367827457224680.218391372861234
2190.7510924842442280.4978150315115440.248907515755772
2200.6951570335000060.6096859329999870.304842966499993
2210.7361908898080660.5276182203838680.263809110191934
2220.7881565165022870.4236869669954250.211843483497713
2230.7755620317364740.4488759365270510.224437968263526
2240.7094376708243890.5811246583512220.290562329175611
2250.6794744266848540.6410511466302930.320525573315146
2260.6805038284922390.6389923430155220.319496171507761
2270.6314688473496590.7370623053006820.368531152650341
2280.5404832683767580.9190334632464830.459516731623242
2290.5945455694835230.8109088610329540.405454430516477
2300.6543751690156350.691249661968730.345624830984365
2310.5808892711153630.8382214577692750.419110728884637
2320.4545173192022710.9090346384045420.545482680797729
2330.4102705931571170.8205411863142340.589729406842883
2340.4858320318198630.9716640636397260.514167968180137

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.0749859811178309 & 0.149971962235662 & 0.925014018882169 \tabularnewline
7 & 0.228546034576991 & 0.457092069153983 & 0.771453965423009 \tabularnewline
8 & 0.498152438674373 & 0.996304877348746 & 0.501847561325627 \tabularnewline
9 & 0.676952447094789 & 0.646095105810423 & 0.323047552905211 \tabularnewline
10 & 0.625972642920807 & 0.748054714158386 & 0.374027357079193 \tabularnewline
11 & 0.534758795519678 & 0.930482408960644 & 0.465241204480322 \tabularnewline
12 & 0.552449293498385 & 0.895101413003231 & 0.447550706501615 \tabularnewline
13 & 0.455494401337599 & 0.910988802675198 & 0.544505598662401 \tabularnewline
14 & 0.38127004794182 & 0.76254009588364 & 0.61872995205818 \tabularnewline
15 & 0.384312891921697 & 0.768625783843394 & 0.615687108078303 \tabularnewline
16 & 0.500961460614918 & 0.998077078770164 & 0.499038539385082 \tabularnewline
17 & 0.630060847141162 & 0.739878305717676 & 0.369939152858838 \tabularnewline
18 & 0.630144348530872 & 0.739711302938257 & 0.369855651469128 \tabularnewline
19 & 0.578227922323187 & 0.843544155353626 & 0.421772077676813 \tabularnewline
20 & 0.615292747061475 & 0.769414505877051 & 0.384707252938525 \tabularnewline
21 & 0.718412862131653 & 0.563174275736694 & 0.281587137868347 \tabularnewline
22 & 0.735422161509232 & 0.529155676981536 & 0.264577838490768 \tabularnewline
23 & 0.683820134512638 & 0.632359730974725 & 0.316179865487362 \tabularnewline
24 & 0.674588339072787 & 0.650823321854425 & 0.325411660927213 \tabularnewline
25 & 0.679727882123804 & 0.640544235752392 & 0.320272117876196 \tabularnewline
26 & 0.626883292056752 & 0.746233415886495 & 0.373116707943248 \tabularnewline
27 & 0.582565678398238 & 0.834868643203524 & 0.417434321601762 \tabularnewline
28 & 0.608838131129475 & 0.78232373774105 & 0.391161868870525 \tabularnewline
29 & 0.681303784438933 & 0.637392431122135 & 0.318696215561067 \tabularnewline
30 & 0.731597772767928 & 0.536804454464143 & 0.268402227232072 \tabularnewline
31 & 0.694485808023735 & 0.611028383952529 & 0.305514191976265 \tabularnewline
32 & 0.691800362247098 & 0.616399275505805 & 0.308199637752902 \tabularnewline
33 & 0.774854283557574 & 0.450291432884852 & 0.225145716442426 \tabularnewline
34 & 0.781944538497834 & 0.436110923004332 & 0.218055461502166 \tabularnewline
35 & 0.745716006635843 & 0.508567986728313 & 0.254283993364156 \tabularnewline
36 & 0.723592366822413 & 0.552815266355173 & 0.276407633177587 \tabularnewline
37 & 0.741580686106748 & 0.516838627786503 & 0.258419313893252 \tabularnewline
38 & 0.714703266340802 & 0.570593467318396 & 0.285296733659198 \tabularnewline
39 & 0.67277027074789 & 0.65445945850422 & 0.32722972925211 \tabularnewline
40 & 0.663065265961051 & 0.673869468077899 & 0.336934734038949 \tabularnewline
41 & 0.716611650310028 & 0.566776699379943 & 0.283388349689972 \tabularnewline
42 & 0.734792641325988 & 0.530414717348025 & 0.265207358674013 \tabularnewline
43 & 0.696763020432063 & 0.606473959135873 & 0.303236979567937 \tabularnewline
44 & 0.687826096557667 & 0.624347806884667 & 0.312173903442333 \tabularnewline
45 & 0.723688325845915 & 0.55262334830817 & 0.276311674154085 \tabularnewline
46 & 0.726540863134896 & 0.546918273730208 & 0.273459136865104 \tabularnewline
47 & 0.686237620136127 & 0.627524759727746 & 0.313762379863873 \tabularnewline
48 & 0.678035791708424 & 0.643928416583152 & 0.321964208291576 \tabularnewline
49 & 0.673868953141576 & 0.652262093716847 & 0.326131046858424 \tabularnewline
50 & 0.634589190486877 & 0.730821619026246 & 0.365410809513123 \tabularnewline
51 & 0.597965585674683 & 0.804068828650633 & 0.402034414325317 \tabularnewline
52 & 0.635361469612395 & 0.72927706077521 & 0.364638530387605 \tabularnewline
53 & 0.70489020033253 & 0.590219599334941 & 0.29510979966747 \tabularnewline
54 & 0.724536484343636 & 0.550927031312728 & 0.275463515656364 \tabularnewline
55 & 0.698455028984073 & 0.603089942031855 & 0.301544971015928 \tabularnewline
56 & 0.665903189268015 & 0.668193621463971 & 0.334096810731985 \tabularnewline
57 & 0.687347897451021 & 0.625304205097958 & 0.312652102548979 \tabularnewline
58 & 0.66978282810531 & 0.660434343789381 & 0.330217171894691 \tabularnewline
59 & 0.634563976201563 & 0.730872047596874 & 0.365436023798437 \tabularnewline
60 & 0.655743682159685 & 0.688512635680631 & 0.344256317840315 \tabularnewline
61 & 0.645547639745158 & 0.708904720509683 & 0.354452360254842 \tabularnewline
62 & 0.607006743318709 & 0.785986513362582 & 0.392993256681291 \tabularnewline
63 & 0.581104213969002 & 0.837791572061996 & 0.418895786030998 \tabularnewline
64 & 0.637758441376935 & 0.724483117246129 & 0.362241558623065 \tabularnewline
65 & 0.741582278915181 & 0.516835442169638 & 0.258417721084819 \tabularnewline
66 & 0.800906157022991 & 0.398187685954019 & 0.19909384297701 \tabularnewline
67 & 0.799110651434041 & 0.401778697131918 & 0.200889348565959 \tabularnewline
68 & 0.773427190003078 & 0.453145619993845 & 0.226572809996922 \tabularnewline
69 & 0.760731470416909 & 0.478537059166182 & 0.239268529583091 \tabularnewline
70 & 0.742419320230484 & 0.515161359539031 & 0.257580679769516 \tabularnewline
71 & 0.713125972827106 & 0.573748054345788 & 0.286874027172894 \tabularnewline
72 & 0.726007809564175 & 0.547984380871651 & 0.273992190435826 \tabularnewline
73 & 0.709017852530084 & 0.581964294939832 & 0.290982147469916 \tabularnewline
74 & 0.674933433396315 & 0.650133133207371 & 0.325066566603685 \tabularnewline
75 & 0.663824910587926 & 0.672350178824149 & 0.336175089412074 \tabularnewline
76 & 0.676938738652773 & 0.646122522694454 & 0.323061261347227 \tabularnewline
77 & 0.73658380044752 & 0.526832399104959 & 0.26341619955248 \tabularnewline
78 & 0.787988072551289 & 0.424023854897423 & 0.212011927448711 \tabularnewline
79 & 0.786179310277852 & 0.427641379444295 & 0.213820689722147 \tabularnewline
80 & 0.756957794641457 & 0.486084410717087 & 0.243042205358543 \tabularnewline
81 & 0.754131312094433 & 0.491737375811135 & 0.245868687905567 \tabularnewline
82 & 0.743649636465453 & 0.512700727069094 & 0.256350363534547 \tabularnewline
83 & 0.712308527778883 & 0.575382944442234 & 0.287691472221117 \tabularnewline
84 & 0.714425913848331 & 0.571148172303337 & 0.285574086151669 \tabularnewline
85 & 0.729081166101094 & 0.541837667797811 & 0.270918833898906 \tabularnewline
86 & 0.702757381262686 & 0.594485237474628 & 0.297242618737314 \tabularnewline
87 & 0.670034507289049 & 0.659930985421902 & 0.329965492710951 \tabularnewline
88 & 0.682160088549754 & 0.635679822900491 & 0.317839911450246 \tabularnewline
89 & 0.727404272888889 & 0.545191454222221 & 0.272595727111111 \tabularnewline
90 & 0.729454373761229 & 0.541091252477541 & 0.27054562623877 \tabularnewline
91 & 0.703658748354031 & 0.592682503291938 & 0.296341251645969 \tabularnewline
92 & 0.686592768000575 & 0.626814463998851 & 0.313407231999425 \tabularnewline
93 & 0.736538710187757 & 0.526922579624486 & 0.263461289812243 \tabularnewline
94 & 0.749163435510427 & 0.501673128979146 & 0.250836564489573 \tabularnewline
95 & 0.721276543226085 & 0.55744691354783 & 0.278723456773915 \tabularnewline
96 & 0.741393183644748 & 0.517213632710504 & 0.258606816355252 \tabularnewline
97 & 0.741685526142494 & 0.516628947715012 & 0.258314473857506 \tabularnewline
98 & 0.717465900455068 & 0.565068199089864 & 0.282534099544932 \tabularnewline
99 & 0.696196453487393 & 0.607607093025213 & 0.303803546512607 \tabularnewline
100 & 0.735334429225635 & 0.52933114154873 & 0.264665570774365 \tabularnewline
101 & 0.830465547503341 & 0.339068904993317 & 0.169534452496659 \tabularnewline
102 & 0.885887117780861 & 0.228225764438278 & 0.114112882219139 \tabularnewline
103 & 0.90047729150187 & 0.199045416996261 & 0.0995227084981304 \tabularnewline
104 & 0.887599731965053 & 0.224800536069894 & 0.112400268034947 \tabularnewline
105 & 0.874619882239429 & 0.250760235521142 & 0.125380117760571 \tabularnewline
106 & 0.855838905287387 & 0.288322189425226 & 0.144161094712613 \tabularnewline
107 & 0.84447352307197 & 0.31105295385606 & 0.15552647692803 \tabularnewline
108 & 0.881327606198569 & 0.237344787602862 & 0.118672393801431 \tabularnewline
109 & 0.865829362087176 & 0.268341275825648 & 0.134170637912824 \tabularnewline
110 & 0.84676012628069 & 0.306479747438619 & 0.15323987371931 \tabularnewline
111 & 0.837371355429548 & 0.325257289140904 & 0.162628644570452 \tabularnewline
112 & 0.873009450920263 & 0.253981098159473 & 0.126990549079737 \tabularnewline
113 & 0.906861929121251 & 0.186276141757497 & 0.0931380708787487 \tabularnewline
114 & 0.926485347219984 & 0.147029305560032 & 0.0735146527800159 \tabularnewline
115 & 0.92978110253115 & 0.140437794937701 & 0.0702188974688503 \tabularnewline
116 & 0.916568348810352 & 0.166863302379296 & 0.0834316511896482 \tabularnewline
117 & 0.921280593751197 & 0.157438812497606 & 0.078719406248803 \tabularnewline
118 & 0.91404134607197 & 0.171917307856061 & 0.0859586539280305 \tabularnewline
119 & 0.899639561453672 & 0.200720877092656 & 0.100360438546328 \tabularnewline
120 & 0.905088358099742 & 0.189823283800516 & 0.0949116419002581 \tabularnewline
121 & 0.901277226791479 & 0.197445546417041 & 0.0987227732085205 \tabularnewline
122 & 0.890523898848285 & 0.21895220230343 & 0.109476101151715 \tabularnewline
123 & 0.873212698523952 & 0.253574602952097 & 0.126787301476048 \tabularnewline
124 & 0.875328169850961 & 0.249343660298078 & 0.124671830149039 \tabularnewline
125 & 0.876250757891983 & 0.247498484216034 & 0.123749242108017 \tabularnewline
126 & 0.888155852668294 & 0.223688294663411 & 0.111844147331706 \tabularnewline
127 & 0.872458049575195 & 0.255083900849611 & 0.127541950424805 \tabularnewline
128 & 0.854450703917629 & 0.291098592164742 & 0.145549296082371 \tabularnewline
129 & 0.852391911693209 & 0.295216176613581 & 0.14760808830679 \tabularnewline
130 & 0.843994963303214 & 0.312010073393572 & 0.156005036696786 \tabularnewline
131 & 0.821874775002769 & 0.356250449994462 & 0.178125224997231 \tabularnewline
132 & 0.825634619384208 & 0.348730761231585 & 0.174365380615792 \tabularnewline
133 & 0.835498461858955 & 0.329003076282091 & 0.164501538141045 \tabularnewline
134 & 0.818627330129963 & 0.362745339740073 & 0.181372669870037 \tabularnewline
135 & 0.795580851269653 & 0.408838297460694 & 0.204419148730347 \tabularnewline
136 & 0.791227882733072 & 0.417544234533856 & 0.208772117266928 \tabularnewline
137 & 0.810333077113216 & 0.379333845773567 & 0.189666922886784 \tabularnewline
138 & 0.815725778018147 & 0.368548443963707 & 0.184274221981853 \tabularnewline
139 & 0.792758906302532 & 0.414482187394936 & 0.207241093697468 \tabularnewline
140 & 0.777308179016605 & 0.445383641966791 & 0.222691820983396 \tabularnewline
141 & 0.801906466161225 & 0.39618706767755 & 0.198093533838775 \tabularnewline
142 & 0.809309747467664 & 0.381380505064673 & 0.190690252532336 \tabularnewline
143 & 0.786715071382276 & 0.426569857235447 & 0.213284928617724 \tabularnewline
144 & 0.776128759223203 & 0.447742481553594 & 0.223871240776797 \tabularnewline
145 & 0.795480045719819 & 0.409039908560362 & 0.204519954280181 \tabularnewline
146 & 0.787357361594704 & 0.425285276810591 & 0.212642638405296 \tabularnewline
147 & 0.763862622642481 & 0.472274754715038 & 0.236137377357519 \tabularnewline
148 & 0.748528581713095 & 0.50294283657381 & 0.251471418286905 \tabularnewline
149 & 0.759761532598369 & 0.480476934803262 & 0.240238467401631 \tabularnewline
150 & 0.775268254125864 & 0.449463491748271 & 0.224731745874136 \tabularnewline
151 & 0.754602836070121 & 0.490794327859758 & 0.245397163929879 \tabularnewline
152 & 0.737989883993349 & 0.524020232013302 & 0.262010116006651 \tabularnewline
153 & 0.748128478881106 & 0.503743042237788 & 0.251871521118894 \tabularnewline
154 & 0.761136227182268 & 0.477727545635463 & 0.238863772817731 \tabularnewline
155 & 0.735345164426283 & 0.529309671147435 & 0.264654835573717 \tabularnewline
156 & 0.738805039120454 & 0.522389921759092 & 0.261194960879546 \tabularnewline
157 & 0.748458500478072 & 0.503082999043856 & 0.251541499521928 \tabularnewline
158 & 0.733085776526147 & 0.533828446947706 & 0.266914223473853 \tabularnewline
159 & 0.707362371133294 & 0.585275257733412 & 0.292637628866706 \tabularnewline
160 & 0.710721408527704 & 0.578557182944592 & 0.289278591472296 \tabularnewline
161 & 0.763349690355372 & 0.473300619289256 & 0.236650309644628 \tabularnewline
162 & 0.808188700775932 & 0.383622598448135 & 0.191811299224068 \tabularnewline
163 & 0.802160426012858 & 0.395679147974283 & 0.197839573987142 \tabularnewline
164 & 0.779523716135699 & 0.440952567728601 & 0.220476283864301 \tabularnewline
165 & 0.777788294182721 & 0.444423411634558 & 0.222211705817279 \tabularnewline
166 & 0.772231055995231 & 0.455537888009538 & 0.227768944004769 \tabularnewline
167 & 0.74587449513371 & 0.50825100973258 & 0.25412550486629 \tabularnewline
168 & 0.755532236858049 & 0.488935526283902 & 0.244467763141951 \tabularnewline
169 & 0.763388645313109 & 0.473222709373783 & 0.236611354686891 \tabularnewline
170 & 0.743764196110008 & 0.512471607779984 & 0.256235803889992 \tabularnewline
171 & 0.717300530000283 & 0.565398939999435 & 0.282699469999717 \tabularnewline
172 & 0.744446781660196 & 0.511106436679608 & 0.255553218339804 \tabularnewline
173 & 0.79622000650447 & 0.407559986991061 & 0.20377999349553 \tabularnewline
174 & 0.813778303123465 & 0.372443393753071 & 0.186221696876535 \tabularnewline
175 & 0.786480859344151 & 0.427038281311697 & 0.213519140655849 \tabularnewline
176 & 0.764081145968293 & 0.471837708063413 & 0.235918854031707 \tabularnewline
177 & 0.80800305320295 & 0.383993893594099 & 0.19199694679705 \tabularnewline
178 & 0.828963514731687 & 0.342072970536627 & 0.171036485268313 \tabularnewline
179 & 0.805853124486735 & 0.388293751026531 & 0.194146875513265 \tabularnewline
180 & 0.793883058449732 & 0.412233883100536 & 0.206116941550268 \tabularnewline
181 & 0.835349961359987 & 0.329300077280026 & 0.164650038640013 \tabularnewline
182 & 0.827367778642053 & 0.345264442715894 & 0.172632221357947 \tabularnewline
183 & 0.803496445113297 & 0.393007109773407 & 0.196503554886703 \tabularnewline
184 & 0.808802255652638 & 0.382395488694724 & 0.191197744347362 \tabularnewline
185 & 0.83672863722097 & 0.326542725558059 & 0.16327136277903 \tabularnewline
186 & 0.863775037603811 & 0.272449924792378 & 0.136224962396189 \tabularnewline
187 & 0.852392312809518 & 0.295215374380964 & 0.147607687190482 \tabularnewline
188 & 0.827903435843797 & 0.344193128312406 & 0.172096564156203 \tabularnewline
189 & 0.847178957667877 & 0.305642084664246 & 0.152821042332123 \tabularnewline
190 & 0.854503864763799 & 0.290992270472403 & 0.145496135236201 \tabularnewline
191 & 0.831405801951535 & 0.33718839609693 & 0.168594198048465 \tabularnewline
192 & 0.830355789717469 & 0.339288420565062 & 0.169644210282531 \tabularnewline
193 & 0.835698023666117 & 0.328603952667766 & 0.164301976333883 \tabularnewline
194 & 0.815954078046046 & 0.368091843907907 & 0.184045921953954 \tabularnewline
195 & 0.786576344441243 & 0.426847311117514 & 0.213423655558757 \tabularnewline
196 & 0.807446325364497 & 0.385107349271006 & 0.192553674635503 \tabularnewline
197 & 0.862428160489385 & 0.27514367902123 & 0.137571839510615 \tabularnewline
198 & 0.887010463198112 & 0.225979073603777 & 0.112989536801888 \tabularnewline
199 & 0.868610437100263 & 0.262779125799474 & 0.131389562899737 \tabularnewline
200 & 0.843657715537395 & 0.312684568925209 & 0.156342284462605 \tabularnewline
201 & 0.856340445658733 & 0.287319108682534 & 0.143659554341267 \tabularnewline
202 & 0.859595967030458 & 0.280808065939084 & 0.140404032969542 \tabularnewline
203 & 0.834092832388606 & 0.331814335222788 & 0.165907167611394 \tabularnewline
204 & 0.822414074574327 & 0.355171850851345 & 0.177585925425673 \tabularnewline
205 & 0.84708571699434 & 0.305828566011319 & 0.15291428300566 \tabularnewline
206 & 0.836183463337787 & 0.327633073324426 & 0.163816536662213 \tabularnewline
207 & 0.805903447836469 & 0.388193104327063 & 0.194096552163532 \tabularnewline
208 & 0.808355404188877 & 0.383289191622245 & 0.191644595811123 \tabularnewline
209 & 0.844610467201978 & 0.310779065596044 & 0.155389532798022 \tabularnewline
210 & 0.877819706450362 & 0.244360587099277 & 0.122180293549638 \tabularnewline
211 & 0.865529547787559 & 0.268940904424882 & 0.134470452212441 \tabularnewline
212 & 0.838564081293911 & 0.322871837412177 & 0.161435918706089 \tabularnewline
213 & 0.850628023526688 & 0.298743952946625 & 0.149371976473312 \tabularnewline
214 & 0.854974776503524 & 0.290050446992952 & 0.145025223496476 \tabularnewline
215 & 0.820469568229277 & 0.359060863541445 & 0.179530431770723 \tabularnewline
216 & 0.801303435799936 & 0.397393128400128 & 0.198696564200064 \tabularnewline
217 & 0.797998984810833 & 0.404002030378335 & 0.202001015189167 \tabularnewline
218 & 0.781608627138766 & 0.436782745722468 & 0.218391372861234 \tabularnewline
219 & 0.751092484244228 & 0.497815031511544 & 0.248907515755772 \tabularnewline
220 & 0.695157033500006 & 0.609685932999987 & 0.304842966499993 \tabularnewline
221 & 0.736190889808066 & 0.527618220383868 & 0.263809110191934 \tabularnewline
222 & 0.788156516502287 & 0.423686966995425 & 0.211843483497713 \tabularnewline
223 & 0.775562031736474 & 0.448875936527051 & 0.224437968263526 \tabularnewline
224 & 0.709437670824389 & 0.581124658351222 & 0.290562329175611 \tabularnewline
225 & 0.679474426684854 & 0.641051146630293 & 0.320525573315146 \tabularnewline
226 & 0.680503828492239 & 0.638992343015522 & 0.319496171507761 \tabularnewline
227 & 0.631468847349659 & 0.737062305300682 & 0.368531152650341 \tabularnewline
228 & 0.540483268376758 & 0.919033463246483 & 0.459516731623242 \tabularnewline
229 & 0.594545569483523 & 0.810908861032954 & 0.405454430516477 \tabularnewline
230 & 0.654375169015635 & 0.69124966196873 & 0.345624830984365 \tabularnewline
231 & 0.580889271115363 & 0.838221457769275 & 0.419110728884637 \tabularnewline
232 & 0.454517319202271 & 0.909034638404542 & 0.545482680797729 \tabularnewline
233 & 0.410270593157117 & 0.820541186314234 & 0.589729406842883 \tabularnewline
234 & 0.485832031819863 & 0.971664063639726 & 0.514167968180137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146440&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]6[/C][C]0.0749859811178309[/C][C]0.149971962235662[/C][C]0.925014018882169[/C][/ROW]
[ROW][C]7[/C][C]0.228546034576991[/C][C]0.457092069153983[/C][C]0.771453965423009[/C][/ROW]
[ROW][C]8[/C][C]0.498152438674373[/C][C]0.996304877348746[/C][C]0.501847561325627[/C][/ROW]
[ROW][C]9[/C][C]0.676952447094789[/C][C]0.646095105810423[/C][C]0.323047552905211[/C][/ROW]
[ROW][C]10[/C][C]0.625972642920807[/C][C]0.748054714158386[/C][C]0.374027357079193[/C][/ROW]
[ROW][C]11[/C][C]0.534758795519678[/C][C]0.930482408960644[/C][C]0.465241204480322[/C][/ROW]
[ROW][C]12[/C][C]0.552449293498385[/C][C]0.895101413003231[/C][C]0.447550706501615[/C][/ROW]
[ROW][C]13[/C][C]0.455494401337599[/C][C]0.910988802675198[/C][C]0.544505598662401[/C][/ROW]
[ROW][C]14[/C][C]0.38127004794182[/C][C]0.76254009588364[/C][C]0.61872995205818[/C][/ROW]
[ROW][C]15[/C][C]0.384312891921697[/C][C]0.768625783843394[/C][C]0.615687108078303[/C][/ROW]
[ROW][C]16[/C][C]0.500961460614918[/C][C]0.998077078770164[/C][C]0.499038539385082[/C][/ROW]
[ROW][C]17[/C][C]0.630060847141162[/C][C]0.739878305717676[/C][C]0.369939152858838[/C][/ROW]
[ROW][C]18[/C][C]0.630144348530872[/C][C]0.739711302938257[/C][C]0.369855651469128[/C][/ROW]
[ROW][C]19[/C][C]0.578227922323187[/C][C]0.843544155353626[/C][C]0.421772077676813[/C][/ROW]
[ROW][C]20[/C][C]0.615292747061475[/C][C]0.769414505877051[/C][C]0.384707252938525[/C][/ROW]
[ROW][C]21[/C][C]0.718412862131653[/C][C]0.563174275736694[/C][C]0.281587137868347[/C][/ROW]
[ROW][C]22[/C][C]0.735422161509232[/C][C]0.529155676981536[/C][C]0.264577838490768[/C][/ROW]
[ROW][C]23[/C][C]0.683820134512638[/C][C]0.632359730974725[/C][C]0.316179865487362[/C][/ROW]
[ROW][C]24[/C][C]0.674588339072787[/C][C]0.650823321854425[/C][C]0.325411660927213[/C][/ROW]
[ROW][C]25[/C][C]0.679727882123804[/C][C]0.640544235752392[/C][C]0.320272117876196[/C][/ROW]
[ROW][C]26[/C][C]0.626883292056752[/C][C]0.746233415886495[/C][C]0.373116707943248[/C][/ROW]
[ROW][C]27[/C][C]0.582565678398238[/C][C]0.834868643203524[/C][C]0.417434321601762[/C][/ROW]
[ROW][C]28[/C][C]0.608838131129475[/C][C]0.78232373774105[/C][C]0.391161868870525[/C][/ROW]
[ROW][C]29[/C][C]0.681303784438933[/C][C]0.637392431122135[/C][C]0.318696215561067[/C][/ROW]
[ROW][C]30[/C][C]0.731597772767928[/C][C]0.536804454464143[/C][C]0.268402227232072[/C][/ROW]
[ROW][C]31[/C][C]0.694485808023735[/C][C]0.611028383952529[/C][C]0.305514191976265[/C][/ROW]
[ROW][C]32[/C][C]0.691800362247098[/C][C]0.616399275505805[/C][C]0.308199637752902[/C][/ROW]
[ROW][C]33[/C][C]0.774854283557574[/C][C]0.450291432884852[/C][C]0.225145716442426[/C][/ROW]
[ROW][C]34[/C][C]0.781944538497834[/C][C]0.436110923004332[/C][C]0.218055461502166[/C][/ROW]
[ROW][C]35[/C][C]0.745716006635843[/C][C]0.508567986728313[/C][C]0.254283993364156[/C][/ROW]
[ROW][C]36[/C][C]0.723592366822413[/C][C]0.552815266355173[/C][C]0.276407633177587[/C][/ROW]
[ROW][C]37[/C][C]0.741580686106748[/C][C]0.516838627786503[/C][C]0.258419313893252[/C][/ROW]
[ROW][C]38[/C][C]0.714703266340802[/C][C]0.570593467318396[/C][C]0.285296733659198[/C][/ROW]
[ROW][C]39[/C][C]0.67277027074789[/C][C]0.65445945850422[/C][C]0.32722972925211[/C][/ROW]
[ROW][C]40[/C][C]0.663065265961051[/C][C]0.673869468077899[/C][C]0.336934734038949[/C][/ROW]
[ROW][C]41[/C][C]0.716611650310028[/C][C]0.566776699379943[/C][C]0.283388349689972[/C][/ROW]
[ROW][C]42[/C][C]0.734792641325988[/C][C]0.530414717348025[/C][C]0.265207358674013[/C][/ROW]
[ROW][C]43[/C][C]0.696763020432063[/C][C]0.606473959135873[/C][C]0.303236979567937[/C][/ROW]
[ROW][C]44[/C][C]0.687826096557667[/C][C]0.624347806884667[/C][C]0.312173903442333[/C][/ROW]
[ROW][C]45[/C][C]0.723688325845915[/C][C]0.55262334830817[/C][C]0.276311674154085[/C][/ROW]
[ROW][C]46[/C][C]0.726540863134896[/C][C]0.546918273730208[/C][C]0.273459136865104[/C][/ROW]
[ROW][C]47[/C][C]0.686237620136127[/C][C]0.627524759727746[/C][C]0.313762379863873[/C][/ROW]
[ROW][C]48[/C][C]0.678035791708424[/C][C]0.643928416583152[/C][C]0.321964208291576[/C][/ROW]
[ROW][C]49[/C][C]0.673868953141576[/C][C]0.652262093716847[/C][C]0.326131046858424[/C][/ROW]
[ROW][C]50[/C][C]0.634589190486877[/C][C]0.730821619026246[/C][C]0.365410809513123[/C][/ROW]
[ROW][C]51[/C][C]0.597965585674683[/C][C]0.804068828650633[/C][C]0.402034414325317[/C][/ROW]
[ROW][C]52[/C][C]0.635361469612395[/C][C]0.72927706077521[/C][C]0.364638530387605[/C][/ROW]
[ROW][C]53[/C][C]0.70489020033253[/C][C]0.590219599334941[/C][C]0.29510979966747[/C][/ROW]
[ROW][C]54[/C][C]0.724536484343636[/C][C]0.550927031312728[/C][C]0.275463515656364[/C][/ROW]
[ROW][C]55[/C][C]0.698455028984073[/C][C]0.603089942031855[/C][C]0.301544971015928[/C][/ROW]
[ROW][C]56[/C][C]0.665903189268015[/C][C]0.668193621463971[/C][C]0.334096810731985[/C][/ROW]
[ROW][C]57[/C][C]0.687347897451021[/C][C]0.625304205097958[/C][C]0.312652102548979[/C][/ROW]
[ROW][C]58[/C][C]0.66978282810531[/C][C]0.660434343789381[/C][C]0.330217171894691[/C][/ROW]
[ROW][C]59[/C][C]0.634563976201563[/C][C]0.730872047596874[/C][C]0.365436023798437[/C][/ROW]
[ROW][C]60[/C][C]0.655743682159685[/C][C]0.688512635680631[/C][C]0.344256317840315[/C][/ROW]
[ROW][C]61[/C][C]0.645547639745158[/C][C]0.708904720509683[/C][C]0.354452360254842[/C][/ROW]
[ROW][C]62[/C][C]0.607006743318709[/C][C]0.785986513362582[/C][C]0.392993256681291[/C][/ROW]
[ROW][C]63[/C][C]0.581104213969002[/C][C]0.837791572061996[/C][C]0.418895786030998[/C][/ROW]
[ROW][C]64[/C][C]0.637758441376935[/C][C]0.724483117246129[/C][C]0.362241558623065[/C][/ROW]
[ROW][C]65[/C][C]0.741582278915181[/C][C]0.516835442169638[/C][C]0.258417721084819[/C][/ROW]
[ROW][C]66[/C][C]0.800906157022991[/C][C]0.398187685954019[/C][C]0.19909384297701[/C][/ROW]
[ROW][C]67[/C][C]0.799110651434041[/C][C]0.401778697131918[/C][C]0.200889348565959[/C][/ROW]
[ROW][C]68[/C][C]0.773427190003078[/C][C]0.453145619993845[/C][C]0.226572809996922[/C][/ROW]
[ROW][C]69[/C][C]0.760731470416909[/C][C]0.478537059166182[/C][C]0.239268529583091[/C][/ROW]
[ROW][C]70[/C][C]0.742419320230484[/C][C]0.515161359539031[/C][C]0.257580679769516[/C][/ROW]
[ROW][C]71[/C][C]0.713125972827106[/C][C]0.573748054345788[/C][C]0.286874027172894[/C][/ROW]
[ROW][C]72[/C][C]0.726007809564175[/C][C]0.547984380871651[/C][C]0.273992190435826[/C][/ROW]
[ROW][C]73[/C][C]0.709017852530084[/C][C]0.581964294939832[/C][C]0.290982147469916[/C][/ROW]
[ROW][C]74[/C][C]0.674933433396315[/C][C]0.650133133207371[/C][C]0.325066566603685[/C][/ROW]
[ROW][C]75[/C][C]0.663824910587926[/C][C]0.672350178824149[/C][C]0.336175089412074[/C][/ROW]
[ROW][C]76[/C][C]0.676938738652773[/C][C]0.646122522694454[/C][C]0.323061261347227[/C][/ROW]
[ROW][C]77[/C][C]0.73658380044752[/C][C]0.526832399104959[/C][C]0.26341619955248[/C][/ROW]
[ROW][C]78[/C][C]0.787988072551289[/C][C]0.424023854897423[/C][C]0.212011927448711[/C][/ROW]
[ROW][C]79[/C][C]0.786179310277852[/C][C]0.427641379444295[/C][C]0.213820689722147[/C][/ROW]
[ROW][C]80[/C][C]0.756957794641457[/C][C]0.486084410717087[/C][C]0.243042205358543[/C][/ROW]
[ROW][C]81[/C][C]0.754131312094433[/C][C]0.491737375811135[/C][C]0.245868687905567[/C][/ROW]
[ROW][C]82[/C][C]0.743649636465453[/C][C]0.512700727069094[/C][C]0.256350363534547[/C][/ROW]
[ROW][C]83[/C][C]0.712308527778883[/C][C]0.575382944442234[/C][C]0.287691472221117[/C][/ROW]
[ROW][C]84[/C][C]0.714425913848331[/C][C]0.571148172303337[/C][C]0.285574086151669[/C][/ROW]
[ROW][C]85[/C][C]0.729081166101094[/C][C]0.541837667797811[/C][C]0.270918833898906[/C][/ROW]
[ROW][C]86[/C][C]0.702757381262686[/C][C]0.594485237474628[/C][C]0.297242618737314[/C][/ROW]
[ROW][C]87[/C][C]0.670034507289049[/C][C]0.659930985421902[/C][C]0.329965492710951[/C][/ROW]
[ROW][C]88[/C][C]0.682160088549754[/C][C]0.635679822900491[/C][C]0.317839911450246[/C][/ROW]
[ROW][C]89[/C][C]0.727404272888889[/C][C]0.545191454222221[/C][C]0.272595727111111[/C][/ROW]
[ROW][C]90[/C][C]0.729454373761229[/C][C]0.541091252477541[/C][C]0.27054562623877[/C][/ROW]
[ROW][C]91[/C][C]0.703658748354031[/C][C]0.592682503291938[/C][C]0.296341251645969[/C][/ROW]
[ROW][C]92[/C][C]0.686592768000575[/C][C]0.626814463998851[/C][C]0.313407231999425[/C][/ROW]
[ROW][C]93[/C][C]0.736538710187757[/C][C]0.526922579624486[/C][C]0.263461289812243[/C][/ROW]
[ROW][C]94[/C][C]0.749163435510427[/C][C]0.501673128979146[/C][C]0.250836564489573[/C][/ROW]
[ROW][C]95[/C][C]0.721276543226085[/C][C]0.55744691354783[/C][C]0.278723456773915[/C][/ROW]
[ROW][C]96[/C][C]0.741393183644748[/C][C]0.517213632710504[/C][C]0.258606816355252[/C][/ROW]
[ROW][C]97[/C][C]0.741685526142494[/C][C]0.516628947715012[/C][C]0.258314473857506[/C][/ROW]
[ROW][C]98[/C][C]0.717465900455068[/C][C]0.565068199089864[/C][C]0.282534099544932[/C][/ROW]
[ROW][C]99[/C][C]0.696196453487393[/C][C]0.607607093025213[/C][C]0.303803546512607[/C][/ROW]
[ROW][C]100[/C][C]0.735334429225635[/C][C]0.52933114154873[/C][C]0.264665570774365[/C][/ROW]
[ROW][C]101[/C][C]0.830465547503341[/C][C]0.339068904993317[/C][C]0.169534452496659[/C][/ROW]
[ROW][C]102[/C][C]0.885887117780861[/C][C]0.228225764438278[/C][C]0.114112882219139[/C][/ROW]
[ROW][C]103[/C][C]0.90047729150187[/C][C]0.199045416996261[/C][C]0.0995227084981304[/C][/ROW]
[ROW][C]104[/C][C]0.887599731965053[/C][C]0.224800536069894[/C][C]0.112400268034947[/C][/ROW]
[ROW][C]105[/C][C]0.874619882239429[/C][C]0.250760235521142[/C][C]0.125380117760571[/C][/ROW]
[ROW][C]106[/C][C]0.855838905287387[/C][C]0.288322189425226[/C][C]0.144161094712613[/C][/ROW]
[ROW][C]107[/C][C]0.84447352307197[/C][C]0.31105295385606[/C][C]0.15552647692803[/C][/ROW]
[ROW][C]108[/C][C]0.881327606198569[/C][C]0.237344787602862[/C][C]0.118672393801431[/C][/ROW]
[ROW][C]109[/C][C]0.865829362087176[/C][C]0.268341275825648[/C][C]0.134170637912824[/C][/ROW]
[ROW][C]110[/C][C]0.84676012628069[/C][C]0.306479747438619[/C][C]0.15323987371931[/C][/ROW]
[ROW][C]111[/C][C]0.837371355429548[/C][C]0.325257289140904[/C][C]0.162628644570452[/C][/ROW]
[ROW][C]112[/C][C]0.873009450920263[/C][C]0.253981098159473[/C][C]0.126990549079737[/C][/ROW]
[ROW][C]113[/C][C]0.906861929121251[/C][C]0.186276141757497[/C][C]0.0931380708787487[/C][/ROW]
[ROW][C]114[/C][C]0.926485347219984[/C][C]0.147029305560032[/C][C]0.0735146527800159[/C][/ROW]
[ROW][C]115[/C][C]0.92978110253115[/C][C]0.140437794937701[/C][C]0.0702188974688503[/C][/ROW]
[ROW][C]116[/C][C]0.916568348810352[/C][C]0.166863302379296[/C][C]0.0834316511896482[/C][/ROW]
[ROW][C]117[/C][C]0.921280593751197[/C][C]0.157438812497606[/C][C]0.078719406248803[/C][/ROW]
[ROW][C]118[/C][C]0.91404134607197[/C][C]0.171917307856061[/C][C]0.0859586539280305[/C][/ROW]
[ROW][C]119[/C][C]0.899639561453672[/C][C]0.200720877092656[/C][C]0.100360438546328[/C][/ROW]
[ROW][C]120[/C][C]0.905088358099742[/C][C]0.189823283800516[/C][C]0.0949116419002581[/C][/ROW]
[ROW][C]121[/C][C]0.901277226791479[/C][C]0.197445546417041[/C][C]0.0987227732085205[/C][/ROW]
[ROW][C]122[/C][C]0.890523898848285[/C][C]0.21895220230343[/C][C]0.109476101151715[/C][/ROW]
[ROW][C]123[/C][C]0.873212698523952[/C][C]0.253574602952097[/C][C]0.126787301476048[/C][/ROW]
[ROW][C]124[/C][C]0.875328169850961[/C][C]0.249343660298078[/C][C]0.124671830149039[/C][/ROW]
[ROW][C]125[/C][C]0.876250757891983[/C][C]0.247498484216034[/C][C]0.123749242108017[/C][/ROW]
[ROW][C]126[/C][C]0.888155852668294[/C][C]0.223688294663411[/C][C]0.111844147331706[/C][/ROW]
[ROW][C]127[/C][C]0.872458049575195[/C][C]0.255083900849611[/C][C]0.127541950424805[/C][/ROW]
[ROW][C]128[/C][C]0.854450703917629[/C][C]0.291098592164742[/C][C]0.145549296082371[/C][/ROW]
[ROW][C]129[/C][C]0.852391911693209[/C][C]0.295216176613581[/C][C]0.14760808830679[/C][/ROW]
[ROW][C]130[/C][C]0.843994963303214[/C][C]0.312010073393572[/C][C]0.156005036696786[/C][/ROW]
[ROW][C]131[/C][C]0.821874775002769[/C][C]0.356250449994462[/C][C]0.178125224997231[/C][/ROW]
[ROW][C]132[/C][C]0.825634619384208[/C][C]0.348730761231585[/C][C]0.174365380615792[/C][/ROW]
[ROW][C]133[/C][C]0.835498461858955[/C][C]0.329003076282091[/C][C]0.164501538141045[/C][/ROW]
[ROW][C]134[/C][C]0.818627330129963[/C][C]0.362745339740073[/C][C]0.181372669870037[/C][/ROW]
[ROW][C]135[/C][C]0.795580851269653[/C][C]0.408838297460694[/C][C]0.204419148730347[/C][/ROW]
[ROW][C]136[/C][C]0.791227882733072[/C][C]0.417544234533856[/C][C]0.208772117266928[/C][/ROW]
[ROW][C]137[/C][C]0.810333077113216[/C][C]0.379333845773567[/C][C]0.189666922886784[/C][/ROW]
[ROW][C]138[/C][C]0.815725778018147[/C][C]0.368548443963707[/C][C]0.184274221981853[/C][/ROW]
[ROW][C]139[/C][C]0.792758906302532[/C][C]0.414482187394936[/C][C]0.207241093697468[/C][/ROW]
[ROW][C]140[/C][C]0.777308179016605[/C][C]0.445383641966791[/C][C]0.222691820983396[/C][/ROW]
[ROW][C]141[/C][C]0.801906466161225[/C][C]0.39618706767755[/C][C]0.198093533838775[/C][/ROW]
[ROW][C]142[/C][C]0.809309747467664[/C][C]0.381380505064673[/C][C]0.190690252532336[/C][/ROW]
[ROW][C]143[/C][C]0.786715071382276[/C][C]0.426569857235447[/C][C]0.213284928617724[/C][/ROW]
[ROW][C]144[/C][C]0.776128759223203[/C][C]0.447742481553594[/C][C]0.223871240776797[/C][/ROW]
[ROW][C]145[/C][C]0.795480045719819[/C][C]0.409039908560362[/C][C]0.204519954280181[/C][/ROW]
[ROW][C]146[/C][C]0.787357361594704[/C][C]0.425285276810591[/C][C]0.212642638405296[/C][/ROW]
[ROW][C]147[/C][C]0.763862622642481[/C][C]0.472274754715038[/C][C]0.236137377357519[/C][/ROW]
[ROW][C]148[/C][C]0.748528581713095[/C][C]0.50294283657381[/C][C]0.251471418286905[/C][/ROW]
[ROW][C]149[/C][C]0.759761532598369[/C][C]0.480476934803262[/C][C]0.240238467401631[/C][/ROW]
[ROW][C]150[/C][C]0.775268254125864[/C][C]0.449463491748271[/C][C]0.224731745874136[/C][/ROW]
[ROW][C]151[/C][C]0.754602836070121[/C][C]0.490794327859758[/C][C]0.245397163929879[/C][/ROW]
[ROW][C]152[/C][C]0.737989883993349[/C][C]0.524020232013302[/C][C]0.262010116006651[/C][/ROW]
[ROW][C]153[/C][C]0.748128478881106[/C][C]0.503743042237788[/C][C]0.251871521118894[/C][/ROW]
[ROW][C]154[/C][C]0.761136227182268[/C][C]0.477727545635463[/C][C]0.238863772817731[/C][/ROW]
[ROW][C]155[/C][C]0.735345164426283[/C][C]0.529309671147435[/C][C]0.264654835573717[/C][/ROW]
[ROW][C]156[/C][C]0.738805039120454[/C][C]0.522389921759092[/C][C]0.261194960879546[/C][/ROW]
[ROW][C]157[/C][C]0.748458500478072[/C][C]0.503082999043856[/C][C]0.251541499521928[/C][/ROW]
[ROW][C]158[/C][C]0.733085776526147[/C][C]0.533828446947706[/C][C]0.266914223473853[/C][/ROW]
[ROW][C]159[/C][C]0.707362371133294[/C][C]0.585275257733412[/C][C]0.292637628866706[/C][/ROW]
[ROW][C]160[/C][C]0.710721408527704[/C][C]0.578557182944592[/C][C]0.289278591472296[/C][/ROW]
[ROW][C]161[/C][C]0.763349690355372[/C][C]0.473300619289256[/C][C]0.236650309644628[/C][/ROW]
[ROW][C]162[/C][C]0.808188700775932[/C][C]0.383622598448135[/C][C]0.191811299224068[/C][/ROW]
[ROW][C]163[/C][C]0.802160426012858[/C][C]0.395679147974283[/C][C]0.197839573987142[/C][/ROW]
[ROW][C]164[/C][C]0.779523716135699[/C][C]0.440952567728601[/C][C]0.220476283864301[/C][/ROW]
[ROW][C]165[/C][C]0.777788294182721[/C][C]0.444423411634558[/C][C]0.222211705817279[/C][/ROW]
[ROW][C]166[/C][C]0.772231055995231[/C][C]0.455537888009538[/C][C]0.227768944004769[/C][/ROW]
[ROW][C]167[/C][C]0.74587449513371[/C][C]0.50825100973258[/C][C]0.25412550486629[/C][/ROW]
[ROW][C]168[/C][C]0.755532236858049[/C][C]0.488935526283902[/C][C]0.244467763141951[/C][/ROW]
[ROW][C]169[/C][C]0.763388645313109[/C][C]0.473222709373783[/C][C]0.236611354686891[/C][/ROW]
[ROW][C]170[/C][C]0.743764196110008[/C][C]0.512471607779984[/C][C]0.256235803889992[/C][/ROW]
[ROW][C]171[/C][C]0.717300530000283[/C][C]0.565398939999435[/C][C]0.282699469999717[/C][/ROW]
[ROW][C]172[/C][C]0.744446781660196[/C][C]0.511106436679608[/C][C]0.255553218339804[/C][/ROW]
[ROW][C]173[/C][C]0.79622000650447[/C][C]0.407559986991061[/C][C]0.20377999349553[/C][/ROW]
[ROW][C]174[/C][C]0.813778303123465[/C][C]0.372443393753071[/C][C]0.186221696876535[/C][/ROW]
[ROW][C]175[/C][C]0.786480859344151[/C][C]0.427038281311697[/C][C]0.213519140655849[/C][/ROW]
[ROW][C]176[/C][C]0.764081145968293[/C][C]0.471837708063413[/C][C]0.235918854031707[/C][/ROW]
[ROW][C]177[/C][C]0.80800305320295[/C][C]0.383993893594099[/C][C]0.19199694679705[/C][/ROW]
[ROW][C]178[/C][C]0.828963514731687[/C][C]0.342072970536627[/C][C]0.171036485268313[/C][/ROW]
[ROW][C]179[/C][C]0.805853124486735[/C][C]0.388293751026531[/C][C]0.194146875513265[/C][/ROW]
[ROW][C]180[/C][C]0.793883058449732[/C][C]0.412233883100536[/C][C]0.206116941550268[/C][/ROW]
[ROW][C]181[/C][C]0.835349961359987[/C][C]0.329300077280026[/C][C]0.164650038640013[/C][/ROW]
[ROW][C]182[/C][C]0.827367778642053[/C][C]0.345264442715894[/C][C]0.172632221357947[/C][/ROW]
[ROW][C]183[/C][C]0.803496445113297[/C][C]0.393007109773407[/C][C]0.196503554886703[/C][/ROW]
[ROW][C]184[/C][C]0.808802255652638[/C][C]0.382395488694724[/C][C]0.191197744347362[/C][/ROW]
[ROW][C]185[/C][C]0.83672863722097[/C][C]0.326542725558059[/C][C]0.16327136277903[/C][/ROW]
[ROW][C]186[/C][C]0.863775037603811[/C][C]0.272449924792378[/C][C]0.136224962396189[/C][/ROW]
[ROW][C]187[/C][C]0.852392312809518[/C][C]0.295215374380964[/C][C]0.147607687190482[/C][/ROW]
[ROW][C]188[/C][C]0.827903435843797[/C][C]0.344193128312406[/C][C]0.172096564156203[/C][/ROW]
[ROW][C]189[/C][C]0.847178957667877[/C][C]0.305642084664246[/C][C]0.152821042332123[/C][/ROW]
[ROW][C]190[/C][C]0.854503864763799[/C][C]0.290992270472403[/C][C]0.145496135236201[/C][/ROW]
[ROW][C]191[/C][C]0.831405801951535[/C][C]0.33718839609693[/C][C]0.168594198048465[/C][/ROW]
[ROW][C]192[/C][C]0.830355789717469[/C][C]0.339288420565062[/C][C]0.169644210282531[/C][/ROW]
[ROW][C]193[/C][C]0.835698023666117[/C][C]0.328603952667766[/C][C]0.164301976333883[/C][/ROW]
[ROW][C]194[/C][C]0.815954078046046[/C][C]0.368091843907907[/C][C]0.184045921953954[/C][/ROW]
[ROW][C]195[/C][C]0.786576344441243[/C][C]0.426847311117514[/C][C]0.213423655558757[/C][/ROW]
[ROW][C]196[/C][C]0.807446325364497[/C][C]0.385107349271006[/C][C]0.192553674635503[/C][/ROW]
[ROW][C]197[/C][C]0.862428160489385[/C][C]0.27514367902123[/C][C]0.137571839510615[/C][/ROW]
[ROW][C]198[/C][C]0.887010463198112[/C][C]0.225979073603777[/C][C]0.112989536801888[/C][/ROW]
[ROW][C]199[/C][C]0.868610437100263[/C][C]0.262779125799474[/C][C]0.131389562899737[/C][/ROW]
[ROW][C]200[/C][C]0.843657715537395[/C][C]0.312684568925209[/C][C]0.156342284462605[/C][/ROW]
[ROW][C]201[/C][C]0.856340445658733[/C][C]0.287319108682534[/C][C]0.143659554341267[/C][/ROW]
[ROW][C]202[/C][C]0.859595967030458[/C][C]0.280808065939084[/C][C]0.140404032969542[/C][/ROW]
[ROW][C]203[/C][C]0.834092832388606[/C][C]0.331814335222788[/C][C]0.165907167611394[/C][/ROW]
[ROW][C]204[/C][C]0.822414074574327[/C][C]0.355171850851345[/C][C]0.177585925425673[/C][/ROW]
[ROW][C]205[/C][C]0.84708571699434[/C][C]0.305828566011319[/C][C]0.15291428300566[/C][/ROW]
[ROW][C]206[/C][C]0.836183463337787[/C][C]0.327633073324426[/C][C]0.163816536662213[/C][/ROW]
[ROW][C]207[/C][C]0.805903447836469[/C][C]0.388193104327063[/C][C]0.194096552163532[/C][/ROW]
[ROW][C]208[/C][C]0.808355404188877[/C][C]0.383289191622245[/C][C]0.191644595811123[/C][/ROW]
[ROW][C]209[/C][C]0.844610467201978[/C][C]0.310779065596044[/C][C]0.155389532798022[/C][/ROW]
[ROW][C]210[/C][C]0.877819706450362[/C][C]0.244360587099277[/C][C]0.122180293549638[/C][/ROW]
[ROW][C]211[/C][C]0.865529547787559[/C][C]0.268940904424882[/C][C]0.134470452212441[/C][/ROW]
[ROW][C]212[/C][C]0.838564081293911[/C][C]0.322871837412177[/C][C]0.161435918706089[/C][/ROW]
[ROW][C]213[/C][C]0.850628023526688[/C][C]0.298743952946625[/C][C]0.149371976473312[/C][/ROW]
[ROW][C]214[/C][C]0.854974776503524[/C][C]0.290050446992952[/C][C]0.145025223496476[/C][/ROW]
[ROW][C]215[/C][C]0.820469568229277[/C][C]0.359060863541445[/C][C]0.179530431770723[/C][/ROW]
[ROW][C]216[/C][C]0.801303435799936[/C][C]0.397393128400128[/C][C]0.198696564200064[/C][/ROW]
[ROW][C]217[/C][C]0.797998984810833[/C][C]0.404002030378335[/C][C]0.202001015189167[/C][/ROW]
[ROW][C]218[/C][C]0.781608627138766[/C][C]0.436782745722468[/C][C]0.218391372861234[/C][/ROW]
[ROW][C]219[/C][C]0.751092484244228[/C][C]0.497815031511544[/C][C]0.248907515755772[/C][/ROW]
[ROW][C]220[/C][C]0.695157033500006[/C][C]0.609685932999987[/C][C]0.304842966499993[/C][/ROW]
[ROW][C]221[/C][C]0.736190889808066[/C][C]0.527618220383868[/C][C]0.263809110191934[/C][/ROW]
[ROW][C]222[/C][C]0.788156516502287[/C][C]0.423686966995425[/C][C]0.211843483497713[/C][/ROW]
[ROW][C]223[/C][C]0.775562031736474[/C][C]0.448875936527051[/C][C]0.224437968263526[/C][/ROW]
[ROW][C]224[/C][C]0.709437670824389[/C][C]0.581124658351222[/C][C]0.290562329175611[/C][/ROW]
[ROW][C]225[/C][C]0.679474426684854[/C][C]0.641051146630293[/C][C]0.320525573315146[/C][/ROW]
[ROW][C]226[/C][C]0.680503828492239[/C][C]0.638992343015522[/C][C]0.319496171507761[/C][/ROW]
[ROW][C]227[/C][C]0.631468847349659[/C][C]0.737062305300682[/C][C]0.368531152650341[/C][/ROW]
[ROW][C]228[/C][C]0.540483268376758[/C][C]0.919033463246483[/C][C]0.459516731623242[/C][/ROW]
[ROW][C]229[/C][C]0.594545569483523[/C][C]0.810908861032954[/C][C]0.405454430516477[/C][/ROW]
[ROW][C]230[/C][C]0.654375169015635[/C][C]0.69124966196873[/C][C]0.345624830984365[/C][/ROW]
[ROW][C]231[/C][C]0.580889271115363[/C][C]0.838221457769275[/C][C]0.419110728884637[/C][/ROW]
[ROW][C]232[/C][C]0.454517319202271[/C][C]0.909034638404542[/C][C]0.545482680797729[/C][/ROW]
[ROW][C]233[/C][C]0.410270593157117[/C][C]0.820541186314234[/C][C]0.589729406842883[/C][/ROW]
[ROW][C]234[/C][C]0.485832031819863[/C][C]0.971664063639726[/C][C]0.514167968180137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146440&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146440&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.07498598111783090.1499719622356620.925014018882169
70.2285460345769910.4570920691539830.771453965423009
80.4981524386743730.9963048773487460.501847561325627
90.6769524470947890.6460951058104230.323047552905211
100.6259726429208070.7480547141583860.374027357079193
110.5347587955196780.9304824089606440.465241204480322
120.5524492934983850.8951014130032310.447550706501615
130.4554944013375990.9109888026751980.544505598662401
140.381270047941820.762540095883640.61872995205818
150.3843128919216970.7686257838433940.615687108078303
160.5009614606149180.9980770787701640.499038539385082
170.6300608471411620.7398783057176760.369939152858838
180.6301443485308720.7397113029382570.369855651469128
190.5782279223231870.8435441553536260.421772077676813
200.6152927470614750.7694145058770510.384707252938525
210.7184128621316530.5631742757366940.281587137868347
220.7354221615092320.5291556769815360.264577838490768
230.6838201345126380.6323597309747250.316179865487362
240.6745883390727870.6508233218544250.325411660927213
250.6797278821238040.6405442357523920.320272117876196
260.6268832920567520.7462334158864950.373116707943248
270.5825656783982380.8348686432035240.417434321601762
280.6088381311294750.782323737741050.391161868870525
290.6813037844389330.6373924311221350.318696215561067
300.7315977727679280.5368044544641430.268402227232072
310.6944858080237350.6110283839525290.305514191976265
320.6918003622470980.6163992755058050.308199637752902
330.7748542835575740.4502914328848520.225145716442426
340.7819445384978340.4361109230043320.218055461502166
350.7457160066358430.5085679867283130.254283993364156
360.7235923668224130.5528152663551730.276407633177587
370.7415806861067480.5168386277865030.258419313893252
380.7147032663408020.5705934673183960.285296733659198
390.672770270747890.654459458504220.32722972925211
400.6630652659610510.6738694680778990.336934734038949
410.7166116503100280.5667766993799430.283388349689972
420.7347926413259880.5304147173480250.265207358674013
430.6967630204320630.6064739591358730.303236979567937
440.6878260965576670.6243478068846670.312173903442333
450.7236883258459150.552623348308170.276311674154085
460.7265408631348960.5469182737302080.273459136865104
470.6862376201361270.6275247597277460.313762379863873
480.6780357917084240.6439284165831520.321964208291576
490.6738689531415760.6522620937168470.326131046858424
500.6345891904868770.7308216190262460.365410809513123
510.5979655856746830.8040688286506330.402034414325317
520.6353614696123950.729277060775210.364638530387605
530.704890200332530.5902195993349410.29510979966747
540.7245364843436360.5509270313127280.275463515656364
550.6984550289840730.6030899420318550.301544971015928
560.6659031892680150.6681936214639710.334096810731985
570.6873478974510210.6253042050979580.312652102548979
580.669782828105310.6604343437893810.330217171894691
590.6345639762015630.7308720475968740.365436023798437
600.6557436821596850.6885126356806310.344256317840315
610.6455476397451580.7089047205096830.354452360254842
620.6070067433187090.7859865133625820.392993256681291
630.5811042139690020.8377915720619960.418895786030998
640.6377584413769350.7244831172461290.362241558623065
650.7415822789151810.5168354421696380.258417721084819
660.8009061570229910.3981876859540190.19909384297701
670.7991106514340410.4017786971319180.200889348565959
680.7734271900030780.4531456199938450.226572809996922
690.7607314704169090.4785370591661820.239268529583091
700.7424193202304840.5151613595390310.257580679769516
710.7131259728271060.5737480543457880.286874027172894
720.7260078095641750.5479843808716510.273992190435826
730.7090178525300840.5819642949398320.290982147469916
740.6749334333963150.6501331332073710.325066566603685
750.6638249105879260.6723501788241490.336175089412074
760.6769387386527730.6461225226944540.323061261347227
770.736583800447520.5268323991049590.26341619955248
780.7879880725512890.4240238548974230.212011927448711
790.7861793102778520.4276413794442950.213820689722147
800.7569577946414570.4860844107170870.243042205358543
810.7541313120944330.4917373758111350.245868687905567
820.7436496364654530.5127007270690940.256350363534547
830.7123085277788830.5753829444422340.287691472221117
840.7144259138483310.5711481723033370.285574086151669
850.7290811661010940.5418376677978110.270918833898906
860.7027573812626860.5944852374746280.297242618737314
870.6700345072890490.6599309854219020.329965492710951
880.6821600885497540.6356798229004910.317839911450246
890.7274042728888890.5451914542222210.272595727111111
900.7294543737612290.5410912524775410.27054562623877
910.7036587483540310.5926825032919380.296341251645969
920.6865927680005750.6268144639988510.313407231999425
930.7365387101877570.5269225796244860.263461289812243
940.7491634355104270.5016731289791460.250836564489573
950.7212765432260850.557446913547830.278723456773915
960.7413931836447480.5172136327105040.258606816355252
970.7416855261424940.5166289477150120.258314473857506
980.7174659004550680.5650681990898640.282534099544932
990.6961964534873930.6076070930252130.303803546512607
1000.7353344292256350.529331141548730.264665570774365
1010.8304655475033410.3390689049933170.169534452496659
1020.8858871177808610.2282257644382780.114112882219139
1030.900477291501870.1990454169962610.0995227084981304
1040.8875997319650530.2248005360698940.112400268034947
1050.8746198822394290.2507602355211420.125380117760571
1060.8558389052873870.2883221894252260.144161094712613
1070.844473523071970.311052953856060.15552647692803
1080.8813276061985690.2373447876028620.118672393801431
1090.8658293620871760.2683412758256480.134170637912824
1100.846760126280690.3064797474386190.15323987371931
1110.8373713554295480.3252572891409040.162628644570452
1120.8730094509202630.2539810981594730.126990549079737
1130.9068619291212510.1862761417574970.0931380708787487
1140.9264853472199840.1470293055600320.0735146527800159
1150.929781102531150.1404377949377010.0702188974688503
1160.9165683488103520.1668633023792960.0834316511896482
1170.9212805937511970.1574388124976060.078719406248803
1180.914041346071970.1719173078560610.0859586539280305
1190.8996395614536720.2007208770926560.100360438546328
1200.9050883580997420.1898232838005160.0949116419002581
1210.9012772267914790.1974455464170410.0987227732085205
1220.8905238988482850.218952202303430.109476101151715
1230.8732126985239520.2535746029520970.126787301476048
1240.8753281698509610.2493436602980780.124671830149039
1250.8762507578919830.2474984842160340.123749242108017
1260.8881558526682940.2236882946634110.111844147331706
1270.8724580495751950.2550839008496110.127541950424805
1280.8544507039176290.2910985921647420.145549296082371
1290.8523919116932090.2952161766135810.14760808830679
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1860.8637750376038110.2724499247923780.136224962396189
1870.8523923128095180.2952153743809640.147607687190482
1880.8279034358437970.3441931283124060.172096564156203
1890.8471789576678770.3056420846642460.152821042332123
1900.8545038647637990.2909922704724030.145496135236201
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1920.8303557897174690.3392884205650620.169644210282531
1930.8356980236661170.3286039526677660.164301976333883
1940.8159540780460460.3680918439079070.184045921953954
1950.7865763444412430.4268473111175140.213423655558757
1960.8074463253644970.3851073492710060.192553674635503
1970.8624281604893850.275143679021230.137571839510615
1980.8870104631981120.2259790736037770.112989536801888
1990.8686104371002630.2627791257994740.131389562899737
2000.8436577155373950.3126845689252090.156342284462605
2010.8563404456587330.2873191086825340.143659554341267
2020.8595959670304580.2808080659390840.140404032969542
2030.8340928323886060.3318143352227880.165907167611394
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2100.8778197064503620.2443605870992770.122180293549638
2110.8655295477875590.2689409044248820.134470452212441
2120.8385640812939110.3228718374121770.161435918706089
2130.8506280235266880.2987439529466250.149371976473312
2140.8549747765035240.2900504469929520.145025223496476
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2170.7979989848108330.4040020303783350.202001015189167
2180.7816086271387660.4367827457224680.218391372861234
2190.7510924842442280.4978150315115440.248907515755772
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2230.7755620317364740.4488759365270510.224437968263526
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2250.6794744266848540.6410511466302930.320525573315146
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2270.6314688473496590.7370623053006820.368531152650341
2280.5404832683767580.9190334632464830.459516731623242
2290.5945455694835230.8109088610329540.405454430516477
2300.6543751690156350.691249661968730.345624830984365
2310.5808892711153630.8382214577692750.419110728884637
2320.4545173192022710.9090346384045420.545482680797729
2330.4102705931571170.8205411863142340.589729406842883
2340.4858320318198630.9716640636397260.514167968180137







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 0 & 0 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146440&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146440&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146440&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK



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