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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 17:21:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t14186642582zu825rp449w375.htm/, Retrieved Thu, 16 May 2024 23:31:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268776, Retrieved Thu, 16 May 2024 23:31:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Paper MRA] [2014-11-29 15:48:00] [7d20b8d2dd16558b2d15f4ba20e18f40]
-   PD    [Multiple Regression] [regr] [2014-12-15 17:21:09] [e4db4bcf90ba40d5f3241c8a74ac70a7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9 26 3
12.2 57 3
12.8 37 3
7.4 67 3
6.7 43 3
12.6 52 7
14.8 52 6
13.3 43 6
11.1 84 3
8.2 67 3
11.4 49 4
6.4 70 3
10.6 52 6
12 58 3
6.3 68 3
11.3 62 9
11.9 43 3
9.3 56 3
9.6 56 4
10 74 5
6.4 65 3
13.8 63 5
10.8 58 3
13.8 57 3
11.7 63 5
10.9 53 3
16.1 57 4
13.4 51 7
9.9 64 3
11.5 53 3
8.3 29 3
11.7 54 6
9 58 3
9.7 43 4
10.8 51 6
10.3 53 3
10.4 54 3
12.7 56 7
9.3 61 5
11.8 47 3
5.9 39 3
11.4 48 3
13 50 3
10.8 35 3
12.3 30 4
11.3 68 3
11.8 49 3
7.9 61 3
12.7 67 3
12.3 47 3
11.6 56 3
6.7 50 6
10.9 43 3
12.1 67 3
13.3 62 3
10.1 57 3
5.7 41 5
14.3 54 9
8 45 3
13.3 48 3
9.3 61 3
12.5 56 3
7.6 41 9
15.9 43 3
9.2 53 5
9.1 44 7
11.1 66 3
13 58 3
14.5 46 3
12.2 37 3
12.3 51 6
11.4 51 3
8.8 56 6
14.6 66 3
12.6 37 3
13 42 3
12.6 38 4
13.2 66 3
9.9 34 3
7.7 53 3
10.5 49 3
13.4 55 3
10.9 49 3
4.3 59 4
10.3 40 8
11.8 58 5
11.2 60 3
11.4 63 3
8.6 56 5
13.2 54 3
12.6 52 6
5.6 34 7
9.9 69 5
8.8 32 11
7.7 48 4
9 67 3
7.3 58 5
11.4 57 7
13.6 42 3
7.9 64 3
10.7 58 3
10.3 66 3
8.3 26 4
9.6 61 3
14.2 52 3
8.5 51 5
13.5 55 5
4.9 50 3
6.4 60 4
9.6 56 3
11.6 63 3
11.1 61 3
4.35 52 4
12.7 16 3
18.1 46 6
17.85 56 3
16.6 52 3
12.6 55 12
17.1 50 3
19.1 59 3
16.1 60 4
13.35 52 3
18.4 44 4
14.7 67 3
10.6 52 3
12.6 55 3
16.2 37 3
13.6 54 3
18.9 72 3
14.1 51 4
14.5 48 9
16.15 60 5
14.75 50 3
14.8 63 3
12.45 33 3
12.65 67 3
17.35 46 3
8.6 54 3
18.4 59 5
16.1 61 7
11.6 33 18
17.75 47 3
15.25 69 6
17.65 52 4
16.35 55 3
17.65 41 5
13.6 73 3
14.35 52 3
14.75 50 3
18.25 51 6
9.9 60 3
16 56 3
18.25 56 4
16.85 29 3
14.6 66 3
13.85 66 4
18.95 73 3
15.6 55 3
14.85 64 4
11.75 40 3
18.45 46 4
15.9 58 3
17.1 43 3
16.1 61 3
19.9 51 6
10.95 50 14
18.45 52 4
15.1 54 4
15 66 3
11.35 61 6
15.95 80 3
18.1 51 8
14.6 56 4
15.4 56 6
15.4 56 6
17.6 53 4
13.35 47 5
19.1 25 3
15.35 47 3
7.6 46 7
13.4 50 7
13.9 39 4
19.1 51 3
15.25 58 3
12.9 35 11
16.1 58 5
17.35 60 4
13.15 62 5
12.15 63 4
12.6 53 4
10.35 46 3
15.4 67 5
9.6 59 3
18.2 64 3
13.6 38 3
14.85 50 11
14.75 48 3
14.1 48 7
14.9 47 3
16.25 66 3
19.25 47 21
13.6 63 3
13.6 58 3
15.65 44 3
12.75 51 3
14.6 43 3
9.85 55 3
12.65 38 9
19.2 45 3
16.6 50 3
11.2 54 4
15.25 57 3
11.9 60 3
13.2 55 3
16.35 56 3
12.4 49 6
15.85 37 5
18.15 59 3
11.15 46 6
15.65 51 3
17.75 58 3
7.65 64 9
12.35 53 3
15.6 48 5
19.3 51 4
15.2 47 13
17.1 59 3
15.6 62 4
18.4 62 3
19.05 51 4
18.55 64 4
19.1 52 5
13.1 67 3
12.85 50 3
9.5 54 3
4.5 58 4
11.85 56 6
13.6 63 5
11.7 31 3
12.4 65 4
13.35 71 3
11.4 50 3
14.9 57 3
19.9 47 10
11.2 47 5
14.6 57 3
17.6 43 3
14.05 41 10
16.1 63 3
13.35 63 3
11.85 56 3
11.95 51 3
14.75 50 4
15.15 22 13
13.2 41 12
16.85 59 3
7.85 56 3
7.7 66 6
12.6 53 6
7.85 42 3
10.95 52 11
12.35 54 3
9.95 44 12
14.9 62 9
16.65 53 3
13.4 50 3
13.95 36 3
15.7 76 3
16.85 66 3
10.95 62 4
15.35 59 3
12.2 47 3
15.1 55 4
17.75 58 3
15.2 60 3
14.6 44 4
16.65 57 6
8.1 45 8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268776&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268776&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268776&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 12.6118 + 0.00617776AMS.I[t] + 0.00793737AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  12.6118 +  0.00617776AMS.I[t] +  0.00793737AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268776&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  12.6118 +  0.00617776AMS.I[t] +  0.00793737AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268776&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268776&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 12.6118 + 0.00617776AMS.I[t] + 0.00793737AMS.A[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)12.61181.2345110.225.56403e-212.78201e-21
AMS.I0.006177760.02036810.30330.7618860.380943
AMS.A0.007937370.08350450.095050.9243420.462171

\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) & 12.6118 & 1.23451 & 10.22 & 5.56403e-21 & 2.78201e-21 \tabularnewline
AMS.I & 0.00617776 & 0.0203681 & 0.3033 & 0.761886 & 0.380943 \tabularnewline
AMS.A & 0.00793737 & 0.0835045 & 0.09505 & 0.924342 & 0.462171 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268776&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]12.6118[/C][C]1.23451[/C][C]10.22[/C][C]5.56403e-21[/C][C]2.78201e-21[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.00617776[/C][C]0.0203681[/C][C]0.3033[/C][C]0.761886[/C][C]0.380943[/C][/ROW]
[ROW][C]AMS.A[/C][C]0.00793737[/C][C]0.0835045[/C][C]0.09505[/C][C]0.924342[/C][C]0.462171[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268776&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268776&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)12.61181.2345110.225.56403e-212.78201e-21
AMS.I0.006177760.02036810.30330.7618860.380943
AMS.A0.007937370.08350450.095050.9243420.462171






Multiple Linear Regression - Regression Statistics
Multiple R0.0183671
R-squared0.000337349
Adjusted R-squared-0.00693292
F-TEST (value)0.0464012
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.954666
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.40611
Sum Squared Residuals3190.43

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0183671 \tabularnewline
R-squared & 0.000337349 \tabularnewline
Adjusted R-squared & -0.00693292 \tabularnewline
F-TEST (value) & 0.0464012 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0.954666 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.40611 \tabularnewline
Sum Squared Residuals & 3190.43 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268776&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0183671[/C][/ROW]
[ROW][C]R-squared[/C][C]0.000337349[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00693292[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.0464012[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0.954666[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.40611[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3190.43[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268776&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268776&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.0183671
R-squared0.000337349
Adjusted R-squared-0.00693292
F-TEST (value)0.0464012
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.954666
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.40611
Sum Squared Residuals3190.43






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.79630.103732
212.212.9878-0.787779
312.812.8642-0.0642237
47.413.0496-5.64956
56.712.9013-6.20129
612.612.9886-0.38864
714.812.98071.8193
813.312.92510.374898
911.113.1546-2.05458
108.213.0496-4.84956
1111.412.9463-1.54629
126.413.0681-6.66809
1310.612.9807-2.3807
141212.994-0.993957
156.313.0557-6.75573
1611.313.0663-1.76629
1711.912.9013-1.00129
189.312.9816-3.6816
199.612.9895-3.38954
201013.1087-3.10868
216.413.0372-6.6372
2213.813.04070.75928
2310.812.994-2.19396
2413.812.98780.812221
2511.713.0407-1.34072
2610.912.9631-2.06307
2716.112.99573.10428
2813.412.98250.417538
299.913.031-3.13102
3011.512.9631-1.46307
318.312.8148-4.5148
3211.712.9931-1.29306
33912.994-3.99396
349.712.9092-3.20923
3510.812.9745-2.17452
3610.312.9631-2.66307
3710.412.9692-2.56925
3812.713.0134-0.313351
399.313.0284-3.72836
4011.812.926-1.126
415.912.8766-6.97658
4211.412.9322-1.53218
431312.94450.0554654
4410.812.8519-2.05187
4512.312.8289-0.528917
4611.313.0557-1.75573
4711.812.9384-1.13836
487.913.0125-5.11249
4912.713.0496-0.349557
5012.312.926-0.626001
5111.612.9816-1.3816
526.712.9683-6.26835
5310.912.9013-2.00129
5412.113.0496-0.949557
5513.313.01870.281332
5610.112.9878-2.88778
575.712.9048-7.20481
5814.313.01691.28313
59812.9136-4.91365
6013.312.93220.367821
619.313.0125-3.71249
6212.512.9816-0.481601
637.612.9366-5.33656
6415.912.90132.99871
659.212.9789-3.77894
669.112.9392-3.83922
6711.113.0434-1.94338
681312.9940.00604323
6914.512.91981.58018
7012.212.8642-0.664224
7112.312.9745-0.674525
7211.412.9507-1.55071
738.813.0054-4.20541
7414.613.04341.55662
7512.612.8642-0.264224
761312.89510.104887
7712.612.8783-0.278339
7813.213.04340.156621
799.912.8457-2.94569
807.712.9631-5.26307
8110.512.9384-2.43836
8213.412.97540.424577
8310.912.9384-2.03836
844.313.0081-8.70807
8510.312.9224-2.62244
8611.813.0098-1.20983
8711.213.0063-1.80631
8811.413.0248-1.62485
898.612.9975-4.39748
9013.212.96920.230754
9112.612.9807-0.380702
925.612.8774-7.27744
939.913.0778-3.17779
948.812.8968-4.09683
957.712.9401-5.24012
96913.0496-4.04956
977.313.0098-5.70983
9811.413.0195-1.61953
9913.612.89510.704887
1007.913.031-5.13102
10110.712.994-2.29396
10210.313.0434-2.74338
1038.312.8042-4.50421
1049.613.0125-3.41249
10514.212.95691.24311
1068.512.9666-4.46659
10713.512.99130.508702
1084.912.9445-8.04453
1096.413.0142-6.61425
1109.612.9816-3.3816
11111.613.0248-1.42485
11211.113.0125-1.91249
1134.3512.9648-8.61483
11412.712.7345-0.0344907
11518.112.94365.15636
11617.8512.98164.8684
11716.612.95693.64311
11812.613.0469-0.44686
11917.112.94454.15547
12019.113.00016.09987
12116.113.01423.08575
12213.3512.95690.39311
12318.412.91545.48459
12414.713.04961.65044
12510.612.9569-2.35689
12612.612.9754-0.375423
12716.212.86423.33578
12813.612.96920.630754
12918.913.08045.81955
13014.112.95861.14135
13114.512.97981.5202
13216.1513.02223.12781
13314.7512.94451.80547
13414.813.02481.77515
13512.4512.8395-0.389513
13612.6513.0496-0.399557
13717.3512.91984.43018
1388.612.9692-4.36925
13918.413.0165.38399
14016.113.04423.05576
14111.612.9586-1.35857
14217.7512.9264.824
14315.2513.08572.16428
14417.6512.96484.68517
14516.3512.97543.37458
14617.6512.90484.74519
14713.613.08660.513377
14814.3512.95691.39311
14914.7512.94451.80547
15018.2512.97455.27548
1519.913.0063-3.10631
1521612.98163.0184
15318.2512.98955.26046
15416.8512.81484.0352
15514.613.04341.55662
15613.8513.05130.798684
15718.9513.08665.86338
15815.612.97542.62458
15914.8513.0391.81104
16011.7512.8828-1.13276
16118.4512.92785.52224
16215.912.9942.90604
16317.112.90134.19871
16416.113.01253.08751
16519.912.97456.92548
16610.9513.0318-2.08185
16718.4512.96485.48517
16815.112.97722.12282
1691513.04341.95662
17011.3513.0363-1.6863
17115.9513.12992.82013
17218.112.99045.1096
17314.612.98951.61046
17415.413.00542.39459
17515.413.00542.39459
17617.612.9714.62899
17713.3512.94190.408124
17819.112.79016.30991
17915.3512.9262.424
1807.612.9516-5.35157
18113.412.97630.423716
18213.912.88451.01548
18319.112.95076.14929
18415.2512.9942.25604
18512.912.9154-0.0153671
18616.113.00983.09017
18717.3513.01424.33575
18813.1513.03450.115457
18912.1513.0328-0.882783
19012.612.971-0.371005
19110.3512.9198-2.56982
19215.413.06542.33457
1939.613.0001-3.40013
19418.213.0315.16898
19513.612.87040.729599
19614.8513.0081.84197
19714.7512.93221.81782
19814.112.96391.13607
19914.912.9261.974
20016.2513.04343.20662
20119.2513.06896.18113
20213.613.02480.575154
20313.612.9940.606043
20415.6512.90752.74253
20512.7512.9507-0.200712
20614.612.90131.69871
2079.8512.9754-3.12542
20812.6512.918-0.268026
20919.212.91366.28635
21016.612.94453.65547
21111.212.9772-1.77718
21215.2512.98782.26222
21311.913.0063-1.10631
21413.212.97540.224577
21516.3512.98163.3684
21612.412.9622-0.562169
21715.8512.88012.9699
21818.1513.00015.14987
21911.1512.9436-1.79364
22015.6512.95072.69929
22117.7512.9944.75604
2227.6513.0786-5.42865
22312.3512.9631-0.613068
22415.612.94812.65195
22519.312.95866.34135
22615.213.00542.19462
22717.113.00014.09987
22815.613.02662.57339
22918.413.01875.38133
23019.0512.95866.09135
23118.5513.0395.51104
23219.112.97286.12724
23313.113.04960.0504434
23412.8512.9445-0.0945346
2359.512.9692-3.46925
2364.513.0019-8.50189
23711.8513.0054-1.15541
23813.613.04070.55928
23911.712.8272-1.12716
24012.413.0451-0.645138
24113.3513.07430.275732
24211.412.9445-1.54453
24314.912.98781.91222
24419.912.98166.91844
24511.212.9419-1.74188
24614.612.98781.61222
24717.612.90134.69871
24814.0512.94451.1055
24916.113.02483.07515
25013.3513.02480.325154
25111.8512.9816-1.1316
25211.9512.9507-1.00071
25314.7512.95251.79753
25415.1512.85092.29907
25513.212.96040.239629
25616.8513.00013.84987
2577.8512.9816-5.1316
2587.713.0672-5.36719
25912.612.9869-0.38688
2607.8512.8951-5.04511
26110.9513.0204-2.07039
26212.3512.9692-0.619246
2639.9512.9789-3.0289
26414.913.06631.83371
26516.6512.96313.68693
26613.412.94450.455465
26713.9512.8581.09195
26815.713.10522.59484
26916.8513.04343.80662
27010.9513.0266-2.07661
27115.3513.00012.34987
27212.212.926-0.726001
27315.112.98342.11664
27417.7512.9944.75604
27515.213.00632.19369
27614.612.91541.68459
27716.6513.01163.63841
2788.112.9533-4.85333

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 12.7963 & 0.103732 \tabularnewline
2 & 12.2 & 12.9878 & -0.787779 \tabularnewline
3 & 12.8 & 12.8642 & -0.0642237 \tabularnewline
4 & 7.4 & 13.0496 & -5.64956 \tabularnewline
5 & 6.7 & 12.9013 & -6.20129 \tabularnewline
6 & 12.6 & 12.9886 & -0.38864 \tabularnewline
7 & 14.8 & 12.9807 & 1.8193 \tabularnewline
8 & 13.3 & 12.9251 & 0.374898 \tabularnewline
9 & 11.1 & 13.1546 & -2.05458 \tabularnewline
10 & 8.2 & 13.0496 & -4.84956 \tabularnewline
11 & 11.4 & 12.9463 & -1.54629 \tabularnewline
12 & 6.4 & 13.0681 & -6.66809 \tabularnewline
13 & 10.6 & 12.9807 & -2.3807 \tabularnewline
14 & 12 & 12.994 & -0.993957 \tabularnewline
15 & 6.3 & 13.0557 & -6.75573 \tabularnewline
16 & 11.3 & 13.0663 & -1.76629 \tabularnewline
17 & 11.9 & 12.9013 & -1.00129 \tabularnewline
18 & 9.3 & 12.9816 & -3.6816 \tabularnewline
19 & 9.6 & 12.9895 & -3.38954 \tabularnewline
20 & 10 & 13.1087 & -3.10868 \tabularnewline
21 & 6.4 & 13.0372 & -6.6372 \tabularnewline
22 & 13.8 & 13.0407 & 0.75928 \tabularnewline
23 & 10.8 & 12.994 & -2.19396 \tabularnewline
24 & 13.8 & 12.9878 & 0.812221 \tabularnewline
25 & 11.7 & 13.0407 & -1.34072 \tabularnewline
26 & 10.9 & 12.9631 & -2.06307 \tabularnewline
27 & 16.1 & 12.9957 & 3.10428 \tabularnewline
28 & 13.4 & 12.9825 & 0.417538 \tabularnewline
29 & 9.9 & 13.031 & -3.13102 \tabularnewline
30 & 11.5 & 12.9631 & -1.46307 \tabularnewline
31 & 8.3 & 12.8148 & -4.5148 \tabularnewline
32 & 11.7 & 12.9931 & -1.29306 \tabularnewline
33 & 9 & 12.994 & -3.99396 \tabularnewline
34 & 9.7 & 12.9092 & -3.20923 \tabularnewline
35 & 10.8 & 12.9745 & -2.17452 \tabularnewline
36 & 10.3 & 12.9631 & -2.66307 \tabularnewline
37 & 10.4 & 12.9692 & -2.56925 \tabularnewline
38 & 12.7 & 13.0134 & -0.313351 \tabularnewline
39 & 9.3 & 13.0284 & -3.72836 \tabularnewline
40 & 11.8 & 12.926 & -1.126 \tabularnewline
41 & 5.9 & 12.8766 & -6.97658 \tabularnewline
42 & 11.4 & 12.9322 & -1.53218 \tabularnewline
43 & 13 & 12.9445 & 0.0554654 \tabularnewline
44 & 10.8 & 12.8519 & -2.05187 \tabularnewline
45 & 12.3 & 12.8289 & -0.528917 \tabularnewline
46 & 11.3 & 13.0557 & -1.75573 \tabularnewline
47 & 11.8 & 12.9384 & -1.13836 \tabularnewline
48 & 7.9 & 13.0125 & -5.11249 \tabularnewline
49 & 12.7 & 13.0496 & -0.349557 \tabularnewline
50 & 12.3 & 12.926 & -0.626001 \tabularnewline
51 & 11.6 & 12.9816 & -1.3816 \tabularnewline
52 & 6.7 & 12.9683 & -6.26835 \tabularnewline
53 & 10.9 & 12.9013 & -2.00129 \tabularnewline
54 & 12.1 & 13.0496 & -0.949557 \tabularnewline
55 & 13.3 & 13.0187 & 0.281332 \tabularnewline
56 & 10.1 & 12.9878 & -2.88778 \tabularnewline
57 & 5.7 & 12.9048 & -7.20481 \tabularnewline
58 & 14.3 & 13.0169 & 1.28313 \tabularnewline
59 & 8 & 12.9136 & -4.91365 \tabularnewline
60 & 13.3 & 12.9322 & 0.367821 \tabularnewline
61 & 9.3 & 13.0125 & -3.71249 \tabularnewline
62 & 12.5 & 12.9816 & -0.481601 \tabularnewline
63 & 7.6 & 12.9366 & -5.33656 \tabularnewline
64 & 15.9 & 12.9013 & 2.99871 \tabularnewline
65 & 9.2 & 12.9789 & -3.77894 \tabularnewline
66 & 9.1 & 12.9392 & -3.83922 \tabularnewline
67 & 11.1 & 13.0434 & -1.94338 \tabularnewline
68 & 13 & 12.994 & 0.00604323 \tabularnewline
69 & 14.5 & 12.9198 & 1.58018 \tabularnewline
70 & 12.2 & 12.8642 & -0.664224 \tabularnewline
71 & 12.3 & 12.9745 & -0.674525 \tabularnewline
72 & 11.4 & 12.9507 & -1.55071 \tabularnewline
73 & 8.8 & 13.0054 & -4.20541 \tabularnewline
74 & 14.6 & 13.0434 & 1.55662 \tabularnewline
75 & 12.6 & 12.8642 & -0.264224 \tabularnewline
76 & 13 & 12.8951 & 0.104887 \tabularnewline
77 & 12.6 & 12.8783 & -0.278339 \tabularnewline
78 & 13.2 & 13.0434 & 0.156621 \tabularnewline
79 & 9.9 & 12.8457 & -2.94569 \tabularnewline
80 & 7.7 & 12.9631 & -5.26307 \tabularnewline
81 & 10.5 & 12.9384 & -2.43836 \tabularnewline
82 & 13.4 & 12.9754 & 0.424577 \tabularnewline
83 & 10.9 & 12.9384 & -2.03836 \tabularnewline
84 & 4.3 & 13.0081 & -8.70807 \tabularnewline
85 & 10.3 & 12.9224 & -2.62244 \tabularnewline
86 & 11.8 & 13.0098 & -1.20983 \tabularnewline
87 & 11.2 & 13.0063 & -1.80631 \tabularnewline
88 & 11.4 & 13.0248 & -1.62485 \tabularnewline
89 & 8.6 & 12.9975 & -4.39748 \tabularnewline
90 & 13.2 & 12.9692 & 0.230754 \tabularnewline
91 & 12.6 & 12.9807 & -0.380702 \tabularnewline
92 & 5.6 & 12.8774 & -7.27744 \tabularnewline
93 & 9.9 & 13.0778 & -3.17779 \tabularnewline
94 & 8.8 & 12.8968 & -4.09683 \tabularnewline
95 & 7.7 & 12.9401 & -5.24012 \tabularnewline
96 & 9 & 13.0496 & -4.04956 \tabularnewline
97 & 7.3 & 13.0098 & -5.70983 \tabularnewline
98 & 11.4 & 13.0195 & -1.61953 \tabularnewline
99 & 13.6 & 12.8951 & 0.704887 \tabularnewline
100 & 7.9 & 13.031 & -5.13102 \tabularnewline
101 & 10.7 & 12.994 & -2.29396 \tabularnewline
102 & 10.3 & 13.0434 & -2.74338 \tabularnewline
103 & 8.3 & 12.8042 & -4.50421 \tabularnewline
104 & 9.6 & 13.0125 & -3.41249 \tabularnewline
105 & 14.2 & 12.9569 & 1.24311 \tabularnewline
106 & 8.5 & 12.9666 & -4.46659 \tabularnewline
107 & 13.5 & 12.9913 & 0.508702 \tabularnewline
108 & 4.9 & 12.9445 & -8.04453 \tabularnewline
109 & 6.4 & 13.0142 & -6.61425 \tabularnewline
110 & 9.6 & 12.9816 & -3.3816 \tabularnewline
111 & 11.6 & 13.0248 & -1.42485 \tabularnewline
112 & 11.1 & 13.0125 & -1.91249 \tabularnewline
113 & 4.35 & 12.9648 & -8.61483 \tabularnewline
114 & 12.7 & 12.7345 & -0.0344907 \tabularnewline
115 & 18.1 & 12.9436 & 5.15636 \tabularnewline
116 & 17.85 & 12.9816 & 4.8684 \tabularnewline
117 & 16.6 & 12.9569 & 3.64311 \tabularnewline
118 & 12.6 & 13.0469 & -0.44686 \tabularnewline
119 & 17.1 & 12.9445 & 4.15547 \tabularnewline
120 & 19.1 & 13.0001 & 6.09987 \tabularnewline
121 & 16.1 & 13.0142 & 3.08575 \tabularnewline
122 & 13.35 & 12.9569 & 0.39311 \tabularnewline
123 & 18.4 & 12.9154 & 5.48459 \tabularnewline
124 & 14.7 & 13.0496 & 1.65044 \tabularnewline
125 & 10.6 & 12.9569 & -2.35689 \tabularnewline
126 & 12.6 & 12.9754 & -0.375423 \tabularnewline
127 & 16.2 & 12.8642 & 3.33578 \tabularnewline
128 & 13.6 & 12.9692 & 0.630754 \tabularnewline
129 & 18.9 & 13.0804 & 5.81955 \tabularnewline
130 & 14.1 & 12.9586 & 1.14135 \tabularnewline
131 & 14.5 & 12.9798 & 1.5202 \tabularnewline
132 & 16.15 & 13.0222 & 3.12781 \tabularnewline
133 & 14.75 & 12.9445 & 1.80547 \tabularnewline
134 & 14.8 & 13.0248 & 1.77515 \tabularnewline
135 & 12.45 & 12.8395 & -0.389513 \tabularnewline
136 & 12.65 & 13.0496 & -0.399557 \tabularnewline
137 & 17.35 & 12.9198 & 4.43018 \tabularnewline
138 & 8.6 & 12.9692 & -4.36925 \tabularnewline
139 & 18.4 & 13.016 & 5.38399 \tabularnewline
140 & 16.1 & 13.0442 & 3.05576 \tabularnewline
141 & 11.6 & 12.9586 & -1.35857 \tabularnewline
142 & 17.75 & 12.926 & 4.824 \tabularnewline
143 & 15.25 & 13.0857 & 2.16428 \tabularnewline
144 & 17.65 & 12.9648 & 4.68517 \tabularnewline
145 & 16.35 & 12.9754 & 3.37458 \tabularnewline
146 & 17.65 & 12.9048 & 4.74519 \tabularnewline
147 & 13.6 & 13.0866 & 0.513377 \tabularnewline
148 & 14.35 & 12.9569 & 1.39311 \tabularnewline
149 & 14.75 & 12.9445 & 1.80547 \tabularnewline
150 & 18.25 & 12.9745 & 5.27548 \tabularnewline
151 & 9.9 & 13.0063 & -3.10631 \tabularnewline
152 & 16 & 12.9816 & 3.0184 \tabularnewline
153 & 18.25 & 12.9895 & 5.26046 \tabularnewline
154 & 16.85 & 12.8148 & 4.0352 \tabularnewline
155 & 14.6 & 13.0434 & 1.55662 \tabularnewline
156 & 13.85 & 13.0513 & 0.798684 \tabularnewline
157 & 18.95 & 13.0866 & 5.86338 \tabularnewline
158 & 15.6 & 12.9754 & 2.62458 \tabularnewline
159 & 14.85 & 13.039 & 1.81104 \tabularnewline
160 & 11.75 & 12.8828 & -1.13276 \tabularnewline
161 & 18.45 & 12.9278 & 5.52224 \tabularnewline
162 & 15.9 & 12.994 & 2.90604 \tabularnewline
163 & 17.1 & 12.9013 & 4.19871 \tabularnewline
164 & 16.1 & 13.0125 & 3.08751 \tabularnewline
165 & 19.9 & 12.9745 & 6.92548 \tabularnewline
166 & 10.95 & 13.0318 & -2.08185 \tabularnewline
167 & 18.45 & 12.9648 & 5.48517 \tabularnewline
168 & 15.1 & 12.9772 & 2.12282 \tabularnewline
169 & 15 & 13.0434 & 1.95662 \tabularnewline
170 & 11.35 & 13.0363 & -1.6863 \tabularnewline
171 & 15.95 & 13.1299 & 2.82013 \tabularnewline
172 & 18.1 & 12.9904 & 5.1096 \tabularnewline
173 & 14.6 & 12.9895 & 1.61046 \tabularnewline
174 & 15.4 & 13.0054 & 2.39459 \tabularnewline
175 & 15.4 & 13.0054 & 2.39459 \tabularnewline
176 & 17.6 & 12.971 & 4.62899 \tabularnewline
177 & 13.35 & 12.9419 & 0.408124 \tabularnewline
178 & 19.1 & 12.7901 & 6.30991 \tabularnewline
179 & 15.35 & 12.926 & 2.424 \tabularnewline
180 & 7.6 & 12.9516 & -5.35157 \tabularnewline
181 & 13.4 & 12.9763 & 0.423716 \tabularnewline
182 & 13.9 & 12.8845 & 1.01548 \tabularnewline
183 & 19.1 & 12.9507 & 6.14929 \tabularnewline
184 & 15.25 & 12.994 & 2.25604 \tabularnewline
185 & 12.9 & 12.9154 & -0.0153671 \tabularnewline
186 & 16.1 & 13.0098 & 3.09017 \tabularnewline
187 & 17.35 & 13.0142 & 4.33575 \tabularnewline
188 & 13.15 & 13.0345 & 0.115457 \tabularnewline
189 & 12.15 & 13.0328 & -0.882783 \tabularnewline
190 & 12.6 & 12.971 & -0.371005 \tabularnewline
191 & 10.35 & 12.9198 & -2.56982 \tabularnewline
192 & 15.4 & 13.0654 & 2.33457 \tabularnewline
193 & 9.6 & 13.0001 & -3.40013 \tabularnewline
194 & 18.2 & 13.031 & 5.16898 \tabularnewline
195 & 13.6 & 12.8704 & 0.729599 \tabularnewline
196 & 14.85 & 13.008 & 1.84197 \tabularnewline
197 & 14.75 & 12.9322 & 1.81782 \tabularnewline
198 & 14.1 & 12.9639 & 1.13607 \tabularnewline
199 & 14.9 & 12.926 & 1.974 \tabularnewline
200 & 16.25 & 13.0434 & 3.20662 \tabularnewline
201 & 19.25 & 13.0689 & 6.18113 \tabularnewline
202 & 13.6 & 13.0248 & 0.575154 \tabularnewline
203 & 13.6 & 12.994 & 0.606043 \tabularnewline
204 & 15.65 & 12.9075 & 2.74253 \tabularnewline
205 & 12.75 & 12.9507 & -0.200712 \tabularnewline
206 & 14.6 & 12.9013 & 1.69871 \tabularnewline
207 & 9.85 & 12.9754 & -3.12542 \tabularnewline
208 & 12.65 & 12.918 & -0.268026 \tabularnewline
209 & 19.2 & 12.9136 & 6.28635 \tabularnewline
210 & 16.6 & 12.9445 & 3.65547 \tabularnewline
211 & 11.2 & 12.9772 & -1.77718 \tabularnewline
212 & 15.25 & 12.9878 & 2.26222 \tabularnewline
213 & 11.9 & 13.0063 & -1.10631 \tabularnewline
214 & 13.2 & 12.9754 & 0.224577 \tabularnewline
215 & 16.35 & 12.9816 & 3.3684 \tabularnewline
216 & 12.4 & 12.9622 & -0.562169 \tabularnewline
217 & 15.85 & 12.8801 & 2.9699 \tabularnewline
218 & 18.15 & 13.0001 & 5.14987 \tabularnewline
219 & 11.15 & 12.9436 & -1.79364 \tabularnewline
220 & 15.65 & 12.9507 & 2.69929 \tabularnewline
221 & 17.75 & 12.994 & 4.75604 \tabularnewline
222 & 7.65 & 13.0786 & -5.42865 \tabularnewline
223 & 12.35 & 12.9631 & -0.613068 \tabularnewline
224 & 15.6 & 12.9481 & 2.65195 \tabularnewline
225 & 19.3 & 12.9586 & 6.34135 \tabularnewline
226 & 15.2 & 13.0054 & 2.19462 \tabularnewline
227 & 17.1 & 13.0001 & 4.09987 \tabularnewline
228 & 15.6 & 13.0266 & 2.57339 \tabularnewline
229 & 18.4 & 13.0187 & 5.38133 \tabularnewline
230 & 19.05 & 12.9586 & 6.09135 \tabularnewline
231 & 18.55 & 13.039 & 5.51104 \tabularnewline
232 & 19.1 & 12.9728 & 6.12724 \tabularnewline
233 & 13.1 & 13.0496 & 0.0504434 \tabularnewline
234 & 12.85 & 12.9445 & -0.0945346 \tabularnewline
235 & 9.5 & 12.9692 & -3.46925 \tabularnewline
236 & 4.5 & 13.0019 & -8.50189 \tabularnewline
237 & 11.85 & 13.0054 & -1.15541 \tabularnewline
238 & 13.6 & 13.0407 & 0.55928 \tabularnewline
239 & 11.7 & 12.8272 & -1.12716 \tabularnewline
240 & 12.4 & 13.0451 & -0.645138 \tabularnewline
241 & 13.35 & 13.0743 & 0.275732 \tabularnewline
242 & 11.4 & 12.9445 & -1.54453 \tabularnewline
243 & 14.9 & 12.9878 & 1.91222 \tabularnewline
244 & 19.9 & 12.9816 & 6.91844 \tabularnewline
245 & 11.2 & 12.9419 & -1.74188 \tabularnewline
246 & 14.6 & 12.9878 & 1.61222 \tabularnewline
247 & 17.6 & 12.9013 & 4.69871 \tabularnewline
248 & 14.05 & 12.9445 & 1.1055 \tabularnewline
249 & 16.1 & 13.0248 & 3.07515 \tabularnewline
250 & 13.35 & 13.0248 & 0.325154 \tabularnewline
251 & 11.85 & 12.9816 & -1.1316 \tabularnewline
252 & 11.95 & 12.9507 & -1.00071 \tabularnewline
253 & 14.75 & 12.9525 & 1.79753 \tabularnewline
254 & 15.15 & 12.8509 & 2.29907 \tabularnewline
255 & 13.2 & 12.9604 & 0.239629 \tabularnewline
256 & 16.85 & 13.0001 & 3.84987 \tabularnewline
257 & 7.85 & 12.9816 & -5.1316 \tabularnewline
258 & 7.7 & 13.0672 & -5.36719 \tabularnewline
259 & 12.6 & 12.9869 & -0.38688 \tabularnewline
260 & 7.85 & 12.8951 & -5.04511 \tabularnewline
261 & 10.95 & 13.0204 & -2.07039 \tabularnewline
262 & 12.35 & 12.9692 & -0.619246 \tabularnewline
263 & 9.95 & 12.9789 & -3.0289 \tabularnewline
264 & 14.9 & 13.0663 & 1.83371 \tabularnewline
265 & 16.65 & 12.9631 & 3.68693 \tabularnewline
266 & 13.4 & 12.9445 & 0.455465 \tabularnewline
267 & 13.95 & 12.858 & 1.09195 \tabularnewline
268 & 15.7 & 13.1052 & 2.59484 \tabularnewline
269 & 16.85 & 13.0434 & 3.80662 \tabularnewline
270 & 10.95 & 13.0266 & -2.07661 \tabularnewline
271 & 15.35 & 13.0001 & 2.34987 \tabularnewline
272 & 12.2 & 12.926 & -0.726001 \tabularnewline
273 & 15.1 & 12.9834 & 2.11664 \tabularnewline
274 & 17.75 & 12.994 & 4.75604 \tabularnewline
275 & 15.2 & 13.0063 & 2.19369 \tabularnewline
276 & 14.6 & 12.9154 & 1.68459 \tabularnewline
277 & 16.65 & 13.0116 & 3.63841 \tabularnewline
278 & 8.1 & 12.9533 & -4.85333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268776&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]12.9[/C][C]12.7963[/C][C]0.103732[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]12.9878[/C][C]-0.787779[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]12.8642[/C][C]-0.0642237[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]13.0496[/C][C]-5.64956[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]12.9013[/C][C]-6.20129[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]12.9886[/C][C]-0.38864[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]12.9807[/C][C]1.8193[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]12.9251[/C][C]0.374898[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]13.1546[/C][C]-2.05458[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]13.0496[/C][C]-4.84956[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]12.9463[/C][C]-1.54629[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]13.0681[/C][C]-6.66809[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.9807[/C][C]-2.3807[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]12.994[/C][C]-0.993957[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]13.0557[/C][C]-6.75573[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]13.0663[/C][C]-1.76629[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.9013[/C][C]-1.00129[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.9816[/C][C]-3.6816[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.9895[/C][C]-3.38954[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]13.1087[/C][C]-3.10868[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]13.0372[/C][C]-6.6372[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]13.0407[/C][C]0.75928[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]12.994[/C][C]-2.19396[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.9878[/C][C]0.812221[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]13.0407[/C][C]-1.34072[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]12.9631[/C][C]-2.06307[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]12.9957[/C][C]3.10428[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]12.9825[/C][C]0.417538[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]13.031[/C][C]-3.13102[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]12.9631[/C][C]-1.46307[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]12.8148[/C][C]-4.5148[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]12.9931[/C][C]-1.29306[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.994[/C][C]-3.99396[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]12.9092[/C][C]-3.20923[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]12.9745[/C][C]-2.17452[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]12.9631[/C][C]-2.66307[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]12.9692[/C][C]-2.56925[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]13.0134[/C][C]-0.313351[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]13.0284[/C][C]-3.72836[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]12.926[/C][C]-1.126[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]12.8766[/C][C]-6.97658[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]12.9322[/C][C]-1.53218[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]12.9445[/C][C]0.0554654[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]12.8519[/C][C]-2.05187[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]12.8289[/C][C]-0.528917[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]13.0557[/C][C]-1.75573[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]12.9384[/C][C]-1.13836[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]13.0125[/C][C]-5.11249[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]13.0496[/C][C]-0.349557[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]12.926[/C][C]-0.626001[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]12.9816[/C][C]-1.3816[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]12.9683[/C][C]-6.26835[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]12.9013[/C][C]-2.00129[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]13.0496[/C][C]-0.949557[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]13.0187[/C][C]0.281332[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]12.9878[/C][C]-2.88778[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]12.9048[/C][C]-7.20481[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]13.0169[/C][C]1.28313[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]12.9136[/C][C]-4.91365[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]12.9322[/C][C]0.367821[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.0125[/C][C]-3.71249[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]12.9816[/C][C]-0.481601[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]12.9366[/C][C]-5.33656[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]12.9013[/C][C]2.99871[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]12.9789[/C][C]-3.77894[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]12.9392[/C][C]-3.83922[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]13.0434[/C][C]-1.94338[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]12.994[/C][C]0.00604323[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.9198[/C][C]1.58018[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.8642[/C][C]-0.664224[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]12.9745[/C][C]-0.674525[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]12.9507[/C][C]-1.55071[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]13.0054[/C][C]-4.20541[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]13.0434[/C][C]1.55662[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]12.8642[/C][C]-0.264224[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]12.8951[/C][C]0.104887[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]12.8783[/C][C]-0.278339[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]13.0434[/C][C]0.156621[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]12.8457[/C][C]-2.94569[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]12.9631[/C][C]-5.26307[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]12.9384[/C][C]-2.43836[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]12.9754[/C][C]0.424577[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]12.9384[/C][C]-2.03836[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]13.0081[/C][C]-8.70807[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]12.9224[/C][C]-2.62244[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]13.0098[/C][C]-1.20983[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]13.0063[/C][C]-1.80631[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]13.0248[/C][C]-1.62485[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]12.9975[/C][C]-4.39748[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]12.9692[/C][C]0.230754[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]12.9807[/C][C]-0.380702[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]12.8774[/C][C]-7.27744[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]13.0778[/C][C]-3.17779[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]12.8968[/C][C]-4.09683[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]12.9401[/C][C]-5.24012[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]13.0496[/C][C]-4.04956[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]13.0098[/C][C]-5.70983[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]13.0195[/C][C]-1.61953[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]12.8951[/C][C]0.704887[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]13.031[/C][C]-5.13102[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]12.994[/C][C]-2.29396[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]13.0434[/C][C]-2.74338[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]12.8042[/C][C]-4.50421[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]13.0125[/C][C]-3.41249[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]12.9569[/C][C]1.24311[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]12.9666[/C][C]-4.46659[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]12.9913[/C][C]0.508702[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]12.9445[/C][C]-8.04453[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]13.0142[/C][C]-6.61425[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]12.9816[/C][C]-3.3816[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]13.0248[/C][C]-1.42485[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]13.0125[/C][C]-1.91249[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]12.9648[/C][C]-8.61483[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]12.7345[/C][C]-0.0344907[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]12.9436[/C][C]5.15636[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]12.9816[/C][C]4.8684[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]12.9569[/C][C]3.64311[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]13.0469[/C][C]-0.44686[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]12.9445[/C][C]4.15547[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]13.0001[/C][C]6.09987[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]13.0142[/C][C]3.08575[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]12.9569[/C][C]0.39311[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]12.9154[/C][C]5.48459[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]13.0496[/C][C]1.65044[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]12.9569[/C][C]-2.35689[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]12.9754[/C][C]-0.375423[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]12.8642[/C][C]3.33578[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]12.9692[/C][C]0.630754[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]13.0804[/C][C]5.81955[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]12.9586[/C][C]1.14135[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]12.9798[/C][C]1.5202[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]13.0222[/C][C]3.12781[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]12.9445[/C][C]1.80547[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]13.0248[/C][C]1.77515[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]12.8395[/C][C]-0.389513[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]13.0496[/C][C]-0.399557[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]12.9198[/C][C]4.43018[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]12.9692[/C][C]-4.36925[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]13.016[/C][C]5.38399[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]13.0442[/C][C]3.05576[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]12.9586[/C][C]-1.35857[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]12.926[/C][C]4.824[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]13.0857[/C][C]2.16428[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]12.9648[/C][C]4.68517[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]12.9754[/C][C]3.37458[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]12.9048[/C][C]4.74519[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]13.0866[/C][C]0.513377[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]12.9569[/C][C]1.39311[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]12.9445[/C][C]1.80547[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]12.9745[/C][C]5.27548[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]13.0063[/C][C]-3.10631[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]12.9816[/C][C]3.0184[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]12.9895[/C][C]5.26046[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]12.8148[/C][C]4.0352[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]13.0434[/C][C]1.55662[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]13.0513[/C][C]0.798684[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]13.0866[/C][C]5.86338[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]12.9754[/C][C]2.62458[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]13.039[/C][C]1.81104[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]12.8828[/C][C]-1.13276[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]12.9278[/C][C]5.52224[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]12.994[/C][C]2.90604[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]12.9013[/C][C]4.19871[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]13.0125[/C][C]3.08751[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]12.9745[/C][C]6.92548[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]13.0318[/C][C]-2.08185[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]12.9648[/C][C]5.48517[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]12.9772[/C][C]2.12282[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]13.0434[/C][C]1.95662[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]13.0363[/C][C]-1.6863[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]13.1299[/C][C]2.82013[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]12.9904[/C][C]5.1096[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]12.9895[/C][C]1.61046[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]13.0054[/C][C]2.39459[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]13.0054[/C][C]2.39459[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]12.971[/C][C]4.62899[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]12.9419[/C][C]0.408124[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]12.7901[/C][C]6.30991[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]12.926[/C][C]2.424[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]12.9516[/C][C]-5.35157[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]12.9763[/C][C]0.423716[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]12.8845[/C][C]1.01548[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]12.9507[/C][C]6.14929[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]12.994[/C][C]2.25604[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]12.9154[/C][C]-0.0153671[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]13.0098[/C][C]3.09017[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]13.0142[/C][C]4.33575[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]13.0345[/C][C]0.115457[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]13.0328[/C][C]-0.882783[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]12.971[/C][C]-0.371005[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]12.9198[/C][C]-2.56982[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]13.0654[/C][C]2.33457[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]13.0001[/C][C]-3.40013[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]13.031[/C][C]5.16898[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]12.8704[/C][C]0.729599[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]13.008[/C][C]1.84197[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]12.9322[/C][C]1.81782[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]12.9639[/C][C]1.13607[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]12.926[/C][C]1.974[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]13.0434[/C][C]3.20662[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]13.0689[/C][C]6.18113[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]13.0248[/C][C]0.575154[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]12.994[/C][C]0.606043[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]12.9075[/C][C]2.74253[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]12.9507[/C][C]-0.200712[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]12.9013[/C][C]1.69871[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]12.9754[/C][C]-3.12542[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]12.918[/C][C]-0.268026[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]12.9136[/C][C]6.28635[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]12.9445[/C][C]3.65547[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]12.9772[/C][C]-1.77718[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]12.9878[/C][C]2.26222[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]13.0063[/C][C]-1.10631[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]12.9754[/C][C]0.224577[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]12.9816[/C][C]3.3684[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]12.9622[/C][C]-0.562169[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]12.8801[/C][C]2.9699[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]13.0001[/C][C]5.14987[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]12.9436[/C][C]-1.79364[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]12.9507[/C][C]2.69929[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]12.994[/C][C]4.75604[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]13.0786[/C][C]-5.42865[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]12.9631[/C][C]-0.613068[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]12.9481[/C][C]2.65195[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]12.9586[/C][C]6.34135[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]13.0054[/C][C]2.19462[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]13.0001[/C][C]4.09987[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]13.0266[/C][C]2.57339[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]13.0187[/C][C]5.38133[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]12.9586[/C][C]6.09135[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]13.039[/C][C]5.51104[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]12.9728[/C][C]6.12724[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]13.0496[/C][C]0.0504434[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]12.9445[/C][C]-0.0945346[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]12.9692[/C][C]-3.46925[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]13.0019[/C][C]-8.50189[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]13.0054[/C][C]-1.15541[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]13.0407[/C][C]0.55928[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]12.8272[/C][C]-1.12716[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]13.0451[/C][C]-0.645138[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]13.0743[/C][C]0.275732[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]12.9445[/C][C]-1.54453[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]12.9878[/C][C]1.91222[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]12.9816[/C][C]6.91844[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]12.9419[/C][C]-1.74188[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]12.9878[/C][C]1.61222[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]12.9013[/C][C]4.69871[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]12.9445[/C][C]1.1055[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]13.0248[/C][C]3.07515[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]13.0248[/C][C]0.325154[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]12.9816[/C][C]-1.1316[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]12.9507[/C][C]-1.00071[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]12.9525[/C][C]1.79753[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]12.8509[/C][C]2.29907[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]12.9604[/C][C]0.239629[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]13.0001[/C][C]3.84987[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]12.9816[/C][C]-5.1316[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]13.0672[/C][C]-5.36719[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]12.9869[/C][C]-0.38688[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]12.8951[/C][C]-5.04511[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]13.0204[/C][C]-2.07039[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]12.9692[/C][C]-0.619246[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]12.9789[/C][C]-3.0289[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]13.0663[/C][C]1.83371[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]12.9631[/C][C]3.68693[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]12.9445[/C][C]0.455465[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]12.858[/C][C]1.09195[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]13.1052[/C][C]2.59484[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]13.0434[/C][C]3.80662[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]13.0266[/C][C]-2.07661[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]13.0001[/C][C]2.34987[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]12.926[/C][C]-0.726001[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]12.9834[/C][C]2.11664[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]12.994[/C][C]4.75604[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]13.0063[/C][C]2.19369[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]12.9154[/C][C]1.68459[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]13.0116[/C][C]3.63841[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]12.9533[/C][C]-4.85333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268776&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268776&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.79630.103732
212.212.9878-0.787779
312.812.8642-0.0642237
47.413.0496-5.64956
56.712.9013-6.20129
612.612.9886-0.38864
714.812.98071.8193
813.312.92510.374898
911.113.1546-2.05458
108.213.0496-4.84956
1111.412.9463-1.54629
126.413.0681-6.66809
1310.612.9807-2.3807
141212.994-0.993957
156.313.0557-6.75573
1611.313.0663-1.76629
1711.912.9013-1.00129
189.312.9816-3.6816
199.612.9895-3.38954
201013.1087-3.10868
216.413.0372-6.6372
2213.813.04070.75928
2310.812.994-2.19396
2413.812.98780.812221
2511.713.0407-1.34072
2610.912.9631-2.06307
2716.112.99573.10428
2813.412.98250.417538
299.913.031-3.13102
3011.512.9631-1.46307
318.312.8148-4.5148
3211.712.9931-1.29306
33912.994-3.99396
349.712.9092-3.20923
3510.812.9745-2.17452
3610.312.9631-2.66307
3710.412.9692-2.56925
3812.713.0134-0.313351
399.313.0284-3.72836
4011.812.926-1.126
415.912.8766-6.97658
4211.412.9322-1.53218
431312.94450.0554654
4410.812.8519-2.05187
4512.312.8289-0.528917
4611.313.0557-1.75573
4711.812.9384-1.13836
487.913.0125-5.11249
4912.713.0496-0.349557
5012.312.926-0.626001
5111.612.9816-1.3816
526.712.9683-6.26835
5310.912.9013-2.00129
5412.113.0496-0.949557
5513.313.01870.281332
5610.112.9878-2.88778
575.712.9048-7.20481
5814.313.01691.28313
59812.9136-4.91365
6013.312.93220.367821
619.313.0125-3.71249
6212.512.9816-0.481601
637.612.9366-5.33656
6415.912.90132.99871
659.212.9789-3.77894
669.112.9392-3.83922
6711.113.0434-1.94338
681312.9940.00604323
6914.512.91981.58018
7012.212.8642-0.664224
7112.312.9745-0.674525
7211.412.9507-1.55071
738.813.0054-4.20541
7414.613.04341.55662
7512.612.8642-0.264224
761312.89510.104887
7712.612.8783-0.278339
7813.213.04340.156621
799.912.8457-2.94569
807.712.9631-5.26307
8110.512.9384-2.43836
8213.412.97540.424577
8310.912.9384-2.03836
844.313.0081-8.70807
8510.312.9224-2.62244
8611.813.0098-1.20983
8711.213.0063-1.80631
8811.413.0248-1.62485
898.612.9975-4.39748
9013.212.96920.230754
9112.612.9807-0.380702
925.612.8774-7.27744
939.913.0778-3.17779
948.812.8968-4.09683
957.712.9401-5.24012
96913.0496-4.04956
977.313.0098-5.70983
9811.413.0195-1.61953
9913.612.89510.704887
1007.913.031-5.13102
10110.712.994-2.29396
10210.313.0434-2.74338
1038.312.8042-4.50421
1049.613.0125-3.41249
10514.212.95691.24311
1068.512.9666-4.46659
10713.512.99130.508702
1084.912.9445-8.04453
1096.413.0142-6.61425
1109.612.9816-3.3816
11111.613.0248-1.42485
11211.113.0125-1.91249
1134.3512.9648-8.61483
11412.712.7345-0.0344907
11518.112.94365.15636
11617.8512.98164.8684
11716.612.95693.64311
11812.613.0469-0.44686
11917.112.94454.15547
12019.113.00016.09987
12116.113.01423.08575
12213.3512.95690.39311
12318.412.91545.48459
12414.713.04961.65044
12510.612.9569-2.35689
12612.612.9754-0.375423
12716.212.86423.33578
12813.612.96920.630754
12918.913.08045.81955
13014.112.95861.14135
13114.512.97981.5202
13216.1513.02223.12781
13314.7512.94451.80547
13414.813.02481.77515
13512.4512.8395-0.389513
13612.6513.0496-0.399557
13717.3512.91984.43018
1388.612.9692-4.36925
13918.413.0165.38399
14016.113.04423.05576
14111.612.9586-1.35857
14217.7512.9264.824
14315.2513.08572.16428
14417.6512.96484.68517
14516.3512.97543.37458
14617.6512.90484.74519
14713.613.08660.513377
14814.3512.95691.39311
14914.7512.94451.80547
15018.2512.97455.27548
1519.913.0063-3.10631
1521612.98163.0184
15318.2512.98955.26046
15416.8512.81484.0352
15514.613.04341.55662
15613.8513.05130.798684
15718.9513.08665.86338
15815.612.97542.62458
15914.8513.0391.81104
16011.7512.8828-1.13276
16118.4512.92785.52224
16215.912.9942.90604
16317.112.90134.19871
16416.113.01253.08751
16519.912.97456.92548
16610.9513.0318-2.08185
16718.4512.96485.48517
16815.112.97722.12282
1691513.04341.95662
17011.3513.0363-1.6863
17115.9513.12992.82013
17218.112.99045.1096
17314.612.98951.61046
17415.413.00542.39459
17515.413.00542.39459
17617.612.9714.62899
17713.3512.94190.408124
17819.112.79016.30991
17915.3512.9262.424
1807.612.9516-5.35157
18113.412.97630.423716
18213.912.88451.01548
18319.112.95076.14929
18415.2512.9942.25604
18512.912.9154-0.0153671
18616.113.00983.09017
18717.3513.01424.33575
18813.1513.03450.115457
18912.1513.0328-0.882783
19012.612.971-0.371005
19110.3512.9198-2.56982
19215.413.06542.33457
1939.613.0001-3.40013
19418.213.0315.16898
19513.612.87040.729599
19614.8513.0081.84197
19714.7512.93221.81782
19814.112.96391.13607
19914.912.9261.974
20016.2513.04343.20662
20119.2513.06896.18113
20213.613.02480.575154
20313.612.9940.606043
20415.6512.90752.74253
20512.7512.9507-0.200712
20614.612.90131.69871
2079.8512.9754-3.12542
20812.6512.918-0.268026
20919.212.91366.28635
21016.612.94453.65547
21111.212.9772-1.77718
21215.2512.98782.26222
21311.913.0063-1.10631
21413.212.97540.224577
21516.3512.98163.3684
21612.412.9622-0.562169
21715.8512.88012.9699
21818.1513.00015.14987
21911.1512.9436-1.79364
22015.6512.95072.69929
22117.7512.9944.75604
2227.6513.0786-5.42865
22312.3512.9631-0.613068
22415.612.94812.65195
22519.312.95866.34135
22615.213.00542.19462
22717.113.00014.09987
22815.613.02662.57339
22918.413.01875.38133
23019.0512.95866.09135
23118.5513.0395.51104
23219.112.97286.12724
23313.113.04960.0504434
23412.8512.9445-0.0945346
2359.512.9692-3.46925
2364.513.0019-8.50189
23711.8513.0054-1.15541
23813.613.04070.55928
23911.712.8272-1.12716
24012.413.0451-0.645138
24113.3513.07430.275732
24211.412.9445-1.54453
24314.912.98781.91222
24419.912.98166.91844
24511.212.9419-1.74188
24614.612.98781.61222
24717.612.90134.69871
24814.0512.94451.1055
24916.113.02483.07515
25013.3513.02480.325154
25111.8512.9816-1.1316
25211.9512.9507-1.00071
25314.7512.95251.79753
25415.1512.85092.29907
25513.212.96040.239629
25616.8513.00013.84987
2577.8512.9816-5.1316
2587.713.0672-5.36719
25912.612.9869-0.38688
2607.8512.8951-5.04511
26110.9513.0204-2.07039
26212.3512.9692-0.619246
2639.9512.9789-3.0289
26414.913.06631.83371
26516.6512.96313.68693
26613.412.94450.455465
26713.9512.8581.09195
26815.713.10522.59484
26916.8513.04343.80662
27010.9513.0266-2.07661
27115.3513.00012.34987
27212.212.926-0.726001
27315.112.98342.11664
27417.7512.9944.75604
27515.213.00632.19369
27614.612.91541.68459
27716.6513.01163.63841
2788.112.9533-4.85333






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.5035270.9929450.496473
70.4147290.8294580.585271
80.2768230.5536460.723177
90.2471590.4943180.752841
100.1851570.3703140.814843
110.1156290.2312570.884371
120.1187690.2375370.881231
130.0959110.1918220.904089
140.07954210.1590840.920458
150.08219750.1643950.917803
160.06530690.1306140.934693
170.04321150.08642290.956789
180.02797990.05595970.97202
190.01805140.03610280.981949
200.0111210.02224190.988879
210.01203230.02406460.987968
220.01589710.03179420.984103
230.01072240.02144490.989278
240.01693610.03387210.983064
250.01143360.02286720.988566
260.007302930.01460590.992697
270.02289170.04578340.977108
280.0153150.03062990.984685
290.01036440.02072880.989636
300.006996070.01399210.993004
310.01055820.02111640.989442
320.007043740.01408750.992956
330.005138270.01027650.994862
340.004069020.008138050.995931
350.002953630.005907250.997046
360.001918220.003836450.998082
370.001231120.002462250.998769
380.000756310.001512620.999244
390.0005994410.001198880.999401
400.0004010050.000802010.999599
410.001417070.002834140.998583
420.0009757060.001951410.999024
430.0009374950.001874990.999063
440.0006053970.001210790.999395
450.0003828530.0007657070.999617
460.0002886240.0005772470.999711
470.0002000850.000400170.9998
480.000188610.000377220.999811
490.0002020390.0004040780.999798
500.0001494680.0002989360.999851
510.0001037910.0002075820.999896
520.0004125190.0008250370.999587
530.0002722410.0005444820.999728
540.0002253580.0004507160.999775
550.0002394280.0004788560.999761
560.0001643090.0003286180.999836
570.0008019370.001603870.999198
580.0006155930.001231190.999384
590.0006576830.001315370.999342
600.0006312310.001262460.999369
610.0004971840.0009943680.999503
620.0004102950.000820590.99959
630.0009433010.00188660.999057
640.001924970.003849940.998075
650.001711780.003423570.998288
660.001644050.00328810.998356
670.001226660.002453330.998773
680.001068130.002136260.998932
690.001241750.002483490.998758
700.0009229710.001845940.999077
710.0006807750.001361550.999319
720.0004927440.0009854880.999507
730.0004863910.0009727820.999514
740.0006175840.001235170.999382
750.000467570.0009351390.999532
760.0003704770.0007409540.99963
770.0002731180.0005462360.999727
780.0002378930.0004757860.999762
790.0001940680.0003881360.999806
800.0002672920.0005345840.999733
810.0002013440.0004026880.999799
820.0001758270.0003516550.999824
830.0001283450.0002566910.999872
840.0008931180.001786240.999107
850.0007145260.001429050.999285
860.0005398870.001079770.99946
870.0004087170.0008174350.999591
880.0003087080.0006174160.999691
890.0003316540.0006633080.999668
900.0002823860.0005647710.999718
910.000218770.000437540.999781
920.0007671290.001534260.999233
930.000652070.001304140.999348
940.0006343410.001268680.999366
950.0009024080.001804820.999098
960.0009223960.001844790.999078
970.001441610.002883230.998558
980.001157820.002315640.998842
990.001042030.002084060.998958
1000.001427240.002854490.998573
1010.001189840.002379670.99881
1020.001034890.002069780.998965
1030.001320870.002641730.998679
1040.001274990.002549990.998725
1050.001304410.002608810.998696
1060.001550930.003101860.998449
1070.001455710.002911420.998544
1080.006665040.01333010.993335
1090.01412270.02824530.985877
1100.01443480.02886970.985565
1110.01273560.02547130.987264
1120.01143060.02286110.988569
1130.04945560.09891110.950544
1140.04429070.08858150.955709
1150.09302980.186060.90697
1160.1553770.3107530.844623
1170.193480.3869590.80652
1180.1800210.3600420.819979
1190.2320450.4640890.767955
1200.3727570.7455140.627243
1210.4035570.8071140.596443
1220.3841810.7683620.615819
1230.4917950.983590.508205
1240.4867580.9735170.513242
1250.4809420.9618840.519058
1260.4582520.9165040.541748
1270.4773220.9546430.522678
1280.4564950.912990.543505
1290.5769650.8460690.423035
1300.5592650.8814710.440735
1310.5517760.8964480.448224
1320.5698880.8602250.430112
1330.5571460.8857090.442854
1340.5448740.9102510.455126
1350.5212170.9575670.478783
1360.4964970.9929950.503503
1370.5386430.9227140.461357
1380.5867450.826510.413255
1390.6665130.6669740.333487
1400.6774930.6450140.322507
1410.6519010.6961970.348099
1420.6965380.6069250.303462
1430.6883970.6232060.311603
1440.7269710.5460590.273029
1450.7329010.5341980.267099
1460.7668770.4662450.233123
1470.7454730.5090540.254527
1480.7259170.5481650.274083
1490.7083820.5832360.291618
1500.7583820.4832360.241618
1510.7688830.4622350.231117
1520.7655370.4689250.234463
1530.80520.38960.1948
1540.8131370.3737260.186863
1550.7964940.4070120.203506
1560.7759040.4481920.224096
1570.825780.3484410.17422
1580.8161040.3677920.183896
1590.7998250.4003490.200175
1600.785760.4284790.21424
1610.8234290.3531420.176571
1620.8156330.3687330.184367
1630.8237740.3524530.176226
1640.8175520.3648950.182448
1650.8824560.2350870.117544
1660.8734410.2531180.126559
1670.8979720.2040570.102028
1680.886930.226140.11307
1690.8739650.252070.126035
1700.8648780.2702440.135122
1710.8561390.2877230.143861
1720.8791240.2417510.120876
1730.8636510.2726990.136349
1740.8519080.2961830.148092
1750.8393490.3213020.160651
1760.8523440.2953120.147656
1770.8320260.3359480.167974
1780.8760620.2478750.123938
1790.8640720.2718570.135928
1800.9030610.1938780.096939
1810.8875590.2248810.112441
1820.8702590.2594820.129741
1830.9040940.1918120.0959062
1840.8925040.2149930.107496
1850.8758560.2482890.124144
1860.8686560.2626890.131344
1870.8751680.2496650.124832
1880.8564780.2870440.143522
1890.8403130.3193740.159687
1900.8196030.3607940.180397
1910.8186020.3627960.181398
1920.8009110.3981780.199089
1930.8162960.3674090.183704
1940.8375560.3248870.162444
1950.8138940.3722120.186106
1960.7930010.4139980.206999
1970.768950.4621010.23105
1980.7406870.5186270.259313
1990.7145210.5709590.285479
2000.7017330.5965340.298267
2010.7885470.4229070.211453
2020.7602290.4795420.239771
2030.7300360.5399280.269964
2040.7083990.5832010.291601
2050.6786430.6427130.321357
2060.6459570.7080850.354043
2070.6631010.6737980.336899
2080.6269310.7461380.373069
2090.686350.62730.31365
2100.6771930.6456140.322807
2110.6617980.6764040.338202
2120.6319460.7361080.368054
2130.6073150.785370.392685
2140.5700290.8599430.429971
2150.5529390.8941220.447061
2160.5164630.9670730.483537
2170.4951960.9903920.504804
2180.5226760.9546480.477324
2190.5002940.9994120.499706
2200.471970.943940.52803
2210.4889560.9779130.511044
2220.5789620.8420760.421038
2230.543040.913920.45696
2240.5159940.9680130.484006
2250.5990290.8019420.400971
2260.5691140.8617720.430886
2270.5695630.8608730.430437
2280.5387920.9224170.461208
2290.5819820.8360350.418018
2300.6647530.6704940.335247
2310.7177160.5645670.282284
2320.7986630.4026750.201337
2330.7631050.473790.236895
2340.7239290.5521430.276071
2350.7340950.531810.265905
2360.9268730.1462530.0731265
2370.9127350.174530.0872649
2380.8902910.2194170.109709
2390.8687950.262410.131205
2400.8443490.3113020.155651
2410.8120440.3759120.187956
2420.7917080.4165840.208292
2430.7556290.4887410.244371
2440.8861940.2276130.113806
2450.8706940.2586110.129306
2460.8399220.3201570.160078
2470.8628940.2742130.137106
2480.8374820.3250360.162518
2490.8189640.3620730.181036
2500.7763330.4473350.223667
2510.7416560.5166890.258344
2520.7010720.5978560.298928
2530.6529070.6941860.347093
2540.7257620.5484760.274238
2550.7257430.5485140.274257
2560.7093910.5812170.290609
2570.848570.302860.15143
2580.9643070.07138680.0356934
2590.9458680.1082640.0541322
2600.9818510.03629860.0181493
2610.9696930.06061480.0303074
2620.9657080.06858460.0342923
2630.9442040.1115930.0557963
2640.9474360.1051280.0525642
2650.9291870.1416250.0708125
2660.8949310.2101380.105069
2670.8348530.3302930.165147
2680.7727760.4544490.227224
2690.6724720.6550550.327528
2700.8493050.301390.150695
2710.7694530.4610940.230547
2720.6912990.6174020.308701

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.503527 & 0.992945 & 0.496473 \tabularnewline
7 & 0.414729 & 0.829458 & 0.585271 \tabularnewline
8 & 0.276823 & 0.553646 & 0.723177 \tabularnewline
9 & 0.247159 & 0.494318 & 0.752841 \tabularnewline
10 & 0.185157 & 0.370314 & 0.814843 \tabularnewline
11 & 0.115629 & 0.231257 & 0.884371 \tabularnewline
12 & 0.118769 & 0.237537 & 0.881231 \tabularnewline
13 & 0.095911 & 0.191822 & 0.904089 \tabularnewline
14 & 0.0795421 & 0.159084 & 0.920458 \tabularnewline
15 & 0.0821975 & 0.164395 & 0.917803 \tabularnewline
16 & 0.0653069 & 0.130614 & 0.934693 \tabularnewline
17 & 0.0432115 & 0.0864229 & 0.956789 \tabularnewline
18 & 0.0279799 & 0.0559597 & 0.97202 \tabularnewline
19 & 0.0180514 & 0.0361028 & 0.981949 \tabularnewline
20 & 0.011121 & 0.0222419 & 0.988879 \tabularnewline
21 & 0.0120323 & 0.0240646 & 0.987968 \tabularnewline
22 & 0.0158971 & 0.0317942 & 0.984103 \tabularnewline
23 & 0.0107224 & 0.0214449 & 0.989278 \tabularnewline
24 & 0.0169361 & 0.0338721 & 0.983064 \tabularnewline
25 & 0.0114336 & 0.0228672 & 0.988566 \tabularnewline
26 & 0.00730293 & 0.0146059 & 0.992697 \tabularnewline
27 & 0.0228917 & 0.0457834 & 0.977108 \tabularnewline
28 & 0.015315 & 0.0306299 & 0.984685 \tabularnewline
29 & 0.0103644 & 0.0207288 & 0.989636 \tabularnewline
30 & 0.00699607 & 0.0139921 & 0.993004 \tabularnewline
31 & 0.0105582 & 0.0211164 & 0.989442 \tabularnewline
32 & 0.00704374 & 0.0140875 & 0.992956 \tabularnewline
33 & 0.00513827 & 0.0102765 & 0.994862 \tabularnewline
34 & 0.00406902 & 0.00813805 & 0.995931 \tabularnewline
35 & 0.00295363 & 0.00590725 & 0.997046 \tabularnewline
36 & 0.00191822 & 0.00383645 & 0.998082 \tabularnewline
37 & 0.00123112 & 0.00246225 & 0.998769 \tabularnewline
38 & 0.00075631 & 0.00151262 & 0.999244 \tabularnewline
39 & 0.000599441 & 0.00119888 & 0.999401 \tabularnewline
40 & 0.000401005 & 0.00080201 & 0.999599 \tabularnewline
41 & 0.00141707 & 0.00283414 & 0.998583 \tabularnewline
42 & 0.000975706 & 0.00195141 & 0.999024 \tabularnewline
43 & 0.000937495 & 0.00187499 & 0.999063 \tabularnewline
44 & 0.000605397 & 0.00121079 & 0.999395 \tabularnewline
45 & 0.000382853 & 0.000765707 & 0.999617 \tabularnewline
46 & 0.000288624 & 0.000577247 & 0.999711 \tabularnewline
47 & 0.000200085 & 0.00040017 & 0.9998 \tabularnewline
48 & 0.00018861 & 0.00037722 & 0.999811 \tabularnewline
49 & 0.000202039 & 0.000404078 & 0.999798 \tabularnewline
50 & 0.000149468 & 0.000298936 & 0.999851 \tabularnewline
51 & 0.000103791 & 0.000207582 & 0.999896 \tabularnewline
52 & 0.000412519 & 0.000825037 & 0.999587 \tabularnewline
53 & 0.000272241 & 0.000544482 & 0.999728 \tabularnewline
54 & 0.000225358 & 0.000450716 & 0.999775 \tabularnewline
55 & 0.000239428 & 0.000478856 & 0.999761 \tabularnewline
56 & 0.000164309 & 0.000328618 & 0.999836 \tabularnewline
57 & 0.000801937 & 0.00160387 & 0.999198 \tabularnewline
58 & 0.000615593 & 0.00123119 & 0.999384 \tabularnewline
59 & 0.000657683 & 0.00131537 & 0.999342 \tabularnewline
60 & 0.000631231 & 0.00126246 & 0.999369 \tabularnewline
61 & 0.000497184 & 0.000994368 & 0.999503 \tabularnewline
62 & 0.000410295 & 0.00082059 & 0.99959 \tabularnewline
63 & 0.000943301 & 0.0018866 & 0.999057 \tabularnewline
64 & 0.00192497 & 0.00384994 & 0.998075 \tabularnewline
65 & 0.00171178 & 0.00342357 & 0.998288 \tabularnewline
66 & 0.00164405 & 0.0032881 & 0.998356 \tabularnewline
67 & 0.00122666 & 0.00245333 & 0.998773 \tabularnewline
68 & 0.00106813 & 0.00213626 & 0.998932 \tabularnewline
69 & 0.00124175 & 0.00248349 & 0.998758 \tabularnewline
70 & 0.000922971 & 0.00184594 & 0.999077 \tabularnewline
71 & 0.000680775 & 0.00136155 & 0.999319 \tabularnewline
72 & 0.000492744 & 0.000985488 & 0.999507 \tabularnewline
73 & 0.000486391 & 0.000972782 & 0.999514 \tabularnewline
74 & 0.000617584 & 0.00123517 & 0.999382 \tabularnewline
75 & 0.00046757 & 0.000935139 & 0.999532 \tabularnewline
76 & 0.000370477 & 0.000740954 & 0.99963 \tabularnewline
77 & 0.000273118 & 0.000546236 & 0.999727 \tabularnewline
78 & 0.000237893 & 0.000475786 & 0.999762 \tabularnewline
79 & 0.000194068 & 0.000388136 & 0.999806 \tabularnewline
80 & 0.000267292 & 0.000534584 & 0.999733 \tabularnewline
81 & 0.000201344 & 0.000402688 & 0.999799 \tabularnewline
82 & 0.000175827 & 0.000351655 & 0.999824 \tabularnewline
83 & 0.000128345 & 0.000256691 & 0.999872 \tabularnewline
84 & 0.000893118 & 0.00178624 & 0.999107 \tabularnewline
85 & 0.000714526 & 0.00142905 & 0.999285 \tabularnewline
86 & 0.000539887 & 0.00107977 & 0.99946 \tabularnewline
87 & 0.000408717 & 0.000817435 & 0.999591 \tabularnewline
88 & 0.000308708 & 0.000617416 & 0.999691 \tabularnewline
89 & 0.000331654 & 0.000663308 & 0.999668 \tabularnewline
90 & 0.000282386 & 0.000564771 & 0.999718 \tabularnewline
91 & 0.00021877 & 0.00043754 & 0.999781 \tabularnewline
92 & 0.000767129 & 0.00153426 & 0.999233 \tabularnewline
93 & 0.00065207 & 0.00130414 & 0.999348 \tabularnewline
94 & 0.000634341 & 0.00126868 & 0.999366 \tabularnewline
95 & 0.000902408 & 0.00180482 & 0.999098 \tabularnewline
96 & 0.000922396 & 0.00184479 & 0.999078 \tabularnewline
97 & 0.00144161 & 0.00288323 & 0.998558 \tabularnewline
98 & 0.00115782 & 0.00231564 & 0.998842 \tabularnewline
99 & 0.00104203 & 0.00208406 & 0.998958 \tabularnewline
100 & 0.00142724 & 0.00285449 & 0.998573 \tabularnewline
101 & 0.00118984 & 0.00237967 & 0.99881 \tabularnewline
102 & 0.00103489 & 0.00206978 & 0.998965 \tabularnewline
103 & 0.00132087 & 0.00264173 & 0.998679 \tabularnewline
104 & 0.00127499 & 0.00254999 & 0.998725 \tabularnewline
105 & 0.00130441 & 0.00260881 & 0.998696 \tabularnewline
106 & 0.00155093 & 0.00310186 & 0.998449 \tabularnewline
107 & 0.00145571 & 0.00291142 & 0.998544 \tabularnewline
108 & 0.00666504 & 0.0133301 & 0.993335 \tabularnewline
109 & 0.0141227 & 0.0282453 & 0.985877 \tabularnewline
110 & 0.0144348 & 0.0288697 & 0.985565 \tabularnewline
111 & 0.0127356 & 0.0254713 & 0.987264 \tabularnewline
112 & 0.0114306 & 0.0228611 & 0.988569 \tabularnewline
113 & 0.0494556 & 0.0989111 & 0.950544 \tabularnewline
114 & 0.0442907 & 0.0885815 & 0.955709 \tabularnewline
115 & 0.0930298 & 0.18606 & 0.90697 \tabularnewline
116 & 0.155377 & 0.310753 & 0.844623 \tabularnewline
117 & 0.19348 & 0.386959 & 0.80652 \tabularnewline
118 & 0.180021 & 0.360042 & 0.819979 \tabularnewline
119 & 0.232045 & 0.464089 & 0.767955 \tabularnewline
120 & 0.372757 & 0.745514 & 0.627243 \tabularnewline
121 & 0.403557 & 0.807114 & 0.596443 \tabularnewline
122 & 0.384181 & 0.768362 & 0.615819 \tabularnewline
123 & 0.491795 & 0.98359 & 0.508205 \tabularnewline
124 & 0.486758 & 0.973517 & 0.513242 \tabularnewline
125 & 0.480942 & 0.961884 & 0.519058 \tabularnewline
126 & 0.458252 & 0.916504 & 0.541748 \tabularnewline
127 & 0.477322 & 0.954643 & 0.522678 \tabularnewline
128 & 0.456495 & 0.91299 & 0.543505 \tabularnewline
129 & 0.576965 & 0.846069 & 0.423035 \tabularnewline
130 & 0.559265 & 0.881471 & 0.440735 \tabularnewline
131 & 0.551776 & 0.896448 & 0.448224 \tabularnewline
132 & 0.569888 & 0.860225 & 0.430112 \tabularnewline
133 & 0.557146 & 0.885709 & 0.442854 \tabularnewline
134 & 0.544874 & 0.910251 & 0.455126 \tabularnewline
135 & 0.521217 & 0.957567 & 0.478783 \tabularnewline
136 & 0.496497 & 0.992995 & 0.503503 \tabularnewline
137 & 0.538643 & 0.922714 & 0.461357 \tabularnewline
138 & 0.586745 & 0.82651 & 0.413255 \tabularnewline
139 & 0.666513 & 0.666974 & 0.333487 \tabularnewline
140 & 0.677493 & 0.645014 & 0.322507 \tabularnewline
141 & 0.651901 & 0.696197 & 0.348099 \tabularnewline
142 & 0.696538 & 0.606925 & 0.303462 \tabularnewline
143 & 0.688397 & 0.623206 & 0.311603 \tabularnewline
144 & 0.726971 & 0.546059 & 0.273029 \tabularnewline
145 & 0.732901 & 0.534198 & 0.267099 \tabularnewline
146 & 0.766877 & 0.466245 & 0.233123 \tabularnewline
147 & 0.745473 & 0.509054 & 0.254527 \tabularnewline
148 & 0.725917 & 0.548165 & 0.274083 \tabularnewline
149 & 0.708382 & 0.583236 & 0.291618 \tabularnewline
150 & 0.758382 & 0.483236 & 0.241618 \tabularnewline
151 & 0.768883 & 0.462235 & 0.231117 \tabularnewline
152 & 0.765537 & 0.468925 & 0.234463 \tabularnewline
153 & 0.8052 & 0.3896 & 0.1948 \tabularnewline
154 & 0.813137 & 0.373726 & 0.186863 \tabularnewline
155 & 0.796494 & 0.407012 & 0.203506 \tabularnewline
156 & 0.775904 & 0.448192 & 0.224096 \tabularnewline
157 & 0.82578 & 0.348441 & 0.17422 \tabularnewline
158 & 0.816104 & 0.367792 & 0.183896 \tabularnewline
159 & 0.799825 & 0.400349 & 0.200175 \tabularnewline
160 & 0.78576 & 0.428479 & 0.21424 \tabularnewline
161 & 0.823429 & 0.353142 & 0.176571 \tabularnewline
162 & 0.815633 & 0.368733 & 0.184367 \tabularnewline
163 & 0.823774 & 0.352453 & 0.176226 \tabularnewline
164 & 0.817552 & 0.364895 & 0.182448 \tabularnewline
165 & 0.882456 & 0.235087 & 0.117544 \tabularnewline
166 & 0.873441 & 0.253118 & 0.126559 \tabularnewline
167 & 0.897972 & 0.204057 & 0.102028 \tabularnewline
168 & 0.88693 & 0.22614 & 0.11307 \tabularnewline
169 & 0.873965 & 0.25207 & 0.126035 \tabularnewline
170 & 0.864878 & 0.270244 & 0.135122 \tabularnewline
171 & 0.856139 & 0.287723 & 0.143861 \tabularnewline
172 & 0.879124 & 0.241751 & 0.120876 \tabularnewline
173 & 0.863651 & 0.272699 & 0.136349 \tabularnewline
174 & 0.851908 & 0.296183 & 0.148092 \tabularnewline
175 & 0.839349 & 0.321302 & 0.160651 \tabularnewline
176 & 0.852344 & 0.295312 & 0.147656 \tabularnewline
177 & 0.832026 & 0.335948 & 0.167974 \tabularnewline
178 & 0.876062 & 0.247875 & 0.123938 \tabularnewline
179 & 0.864072 & 0.271857 & 0.135928 \tabularnewline
180 & 0.903061 & 0.193878 & 0.096939 \tabularnewline
181 & 0.887559 & 0.224881 & 0.112441 \tabularnewline
182 & 0.870259 & 0.259482 & 0.129741 \tabularnewline
183 & 0.904094 & 0.191812 & 0.0959062 \tabularnewline
184 & 0.892504 & 0.214993 & 0.107496 \tabularnewline
185 & 0.875856 & 0.248289 & 0.124144 \tabularnewline
186 & 0.868656 & 0.262689 & 0.131344 \tabularnewline
187 & 0.875168 & 0.249665 & 0.124832 \tabularnewline
188 & 0.856478 & 0.287044 & 0.143522 \tabularnewline
189 & 0.840313 & 0.319374 & 0.159687 \tabularnewline
190 & 0.819603 & 0.360794 & 0.180397 \tabularnewline
191 & 0.818602 & 0.362796 & 0.181398 \tabularnewline
192 & 0.800911 & 0.398178 & 0.199089 \tabularnewline
193 & 0.816296 & 0.367409 & 0.183704 \tabularnewline
194 & 0.837556 & 0.324887 & 0.162444 \tabularnewline
195 & 0.813894 & 0.372212 & 0.186106 \tabularnewline
196 & 0.793001 & 0.413998 & 0.206999 \tabularnewline
197 & 0.76895 & 0.462101 & 0.23105 \tabularnewline
198 & 0.740687 & 0.518627 & 0.259313 \tabularnewline
199 & 0.714521 & 0.570959 & 0.285479 \tabularnewline
200 & 0.701733 & 0.596534 & 0.298267 \tabularnewline
201 & 0.788547 & 0.422907 & 0.211453 \tabularnewline
202 & 0.760229 & 0.479542 & 0.239771 \tabularnewline
203 & 0.730036 & 0.539928 & 0.269964 \tabularnewline
204 & 0.708399 & 0.583201 & 0.291601 \tabularnewline
205 & 0.678643 & 0.642713 & 0.321357 \tabularnewline
206 & 0.645957 & 0.708085 & 0.354043 \tabularnewline
207 & 0.663101 & 0.673798 & 0.336899 \tabularnewline
208 & 0.626931 & 0.746138 & 0.373069 \tabularnewline
209 & 0.68635 & 0.6273 & 0.31365 \tabularnewline
210 & 0.677193 & 0.645614 & 0.322807 \tabularnewline
211 & 0.661798 & 0.676404 & 0.338202 \tabularnewline
212 & 0.631946 & 0.736108 & 0.368054 \tabularnewline
213 & 0.607315 & 0.78537 & 0.392685 \tabularnewline
214 & 0.570029 & 0.859943 & 0.429971 \tabularnewline
215 & 0.552939 & 0.894122 & 0.447061 \tabularnewline
216 & 0.516463 & 0.967073 & 0.483537 \tabularnewline
217 & 0.495196 & 0.990392 & 0.504804 \tabularnewline
218 & 0.522676 & 0.954648 & 0.477324 \tabularnewline
219 & 0.500294 & 0.999412 & 0.499706 \tabularnewline
220 & 0.47197 & 0.94394 & 0.52803 \tabularnewline
221 & 0.488956 & 0.977913 & 0.511044 \tabularnewline
222 & 0.578962 & 0.842076 & 0.421038 \tabularnewline
223 & 0.54304 & 0.91392 & 0.45696 \tabularnewline
224 & 0.515994 & 0.968013 & 0.484006 \tabularnewline
225 & 0.599029 & 0.801942 & 0.400971 \tabularnewline
226 & 0.569114 & 0.861772 & 0.430886 \tabularnewline
227 & 0.569563 & 0.860873 & 0.430437 \tabularnewline
228 & 0.538792 & 0.922417 & 0.461208 \tabularnewline
229 & 0.581982 & 0.836035 & 0.418018 \tabularnewline
230 & 0.664753 & 0.670494 & 0.335247 \tabularnewline
231 & 0.717716 & 0.564567 & 0.282284 \tabularnewline
232 & 0.798663 & 0.402675 & 0.201337 \tabularnewline
233 & 0.763105 & 0.47379 & 0.236895 \tabularnewline
234 & 0.723929 & 0.552143 & 0.276071 \tabularnewline
235 & 0.734095 & 0.53181 & 0.265905 \tabularnewline
236 & 0.926873 & 0.146253 & 0.0731265 \tabularnewline
237 & 0.912735 & 0.17453 & 0.0872649 \tabularnewline
238 & 0.890291 & 0.219417 & 0.109709 \tabularnewline
239 & 0.868795 & 0.26241 & 0.131205 \tabularnewline
240 & 0.844349 & 0.311302 & 0.155651 \tabularnewline
241 & 0.812044 & 0.375912 & 0.187956 \tabularnewline
242 & 0.791708 & 0.416584 & 0.208292 \tabularnewline
243 & 0.755629 & 0.488741 & 0.244371 \tabularnewline
244 & 0.886194 & 0.227613 & 0.113806 \tabularnewline
245 & 0.870694 & 0.258611 & 0.129306 \tabularnewline
246 & 0.839922 & 0.320157 & 0.160078 \tabularnewline
247 & 0.862894 & 0.274213 & 0.137106 \tabularnewline
248 & 0.837482 & 0.325036 & 0.162518 \tabularnewline
249 & 0.818964 & 0.362073 & 0.181036 \tabularnewline
250 & 0.776333 & 0.447335 & 0.223667 \tabularnewline
251 & 0.741656 & 0.516689 & 0.258344 \tabularnewline
252 & 0.701072 & 0.597856 & 0.298928 \tabularnewline
253 & 0.652907 & 0.694186 & 0.347093 \tabularnewline
254 & 0.725762 & 0.548476 & 0.274238 \tabularnewline
255 & 0.725743 & 0.548514 & 0.274257 \tabularnewline
256 & 0.709391 & 0.581217 & 0.290609 \tabularnewline
257 & 0.84857 & 0.30286 & 0.15143 \tabularnewline
258 & 0.964307 & 0.0713868 & 0.0356934 \tabularnewline
259 & 0.945868 & 0.108264 & 0.0541322 \tabularnewline
260 & 0.981851 & 0.0362986 & 0.0181493 \tabularnewline
261 & 0.969693 & 0.0606148 & 0.0303074 \tabularnewline
262 & 0.965708 & 0.0685846 & 0.0342923 \tabularnewline
263 & 0.944204 & 0.111593 & 0.0557963 \tabularnewline
264 & 0.947436 & 0.105128 & 0.0525642 \tabularnewline
265 & 0.929187 & 0.141625 & 0.0708125 \tabularnewline
266 & 0.894931 & 0.210138 & 0.105069 \tabularnewline
267 & 0.834853 & 0.330293 & 0.165147 \tabularnewline
268 & 0.772776 & 0.454449 & 0.227224 \tabularnewline
269 & 0.672472 & 0.655055 & 0.327528 \tabularnewline
270 & 0.849305 & 0.30139 & 0.150695 \tabularnewline
271 & 0.769453 & 0.461094 & 0.230547 \tabularnewline
272 & 0.691299 & 0.617402 & 0.308701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268776&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]0.503527[/C][C]0.992945[/C][C]0.496473[/C][/ROW]
[ROW][C]7[/C][C]0.414729[/C][C]0.829458[/C][C]0.585271[/C][/ROW]
[ROW][C]8[/C][C]0.276823[/C][C]0.553646[/C][C]0.723177[/C][/ROW]
[ROW][C]9[/C][C]0.247159[/C][C]0.494318[/C][C]0.752841[/C][/ROW]
[ROW][C]10[/C][C]0.185157[/C][C]0.370314[/C][C]0.814843[/C][/ROW]
[ROW][C]11[/C][C]0.115629[/C][C]0.231257[/C][C]0.884371[/C][/ROW]
[ROW][C]12[/C][C]0.118769[/C][C]0.237537[/C][C]0.881231[/C][/ROW]
[ROW][C]13[/C][C]0.095911[/C][C]0.191822[/C][C]0.904089[/C][/ROW]
[ROW][C]14[/C][C]0.0795421[/C][C]0.159084[/C][C]0.920458[/C][/ROW]
[ROW][C]15[/C][C]0.0821975[/C][C]0.164395[/C][C]0.917803[/C][/ROW]
[ROW][C]16[/C][C]0.0653069[/C][C]0.130614[/C][C]0.934693[/C][/ROW]
[ROW][C]17[/C][C]0.0432115[/C][C]0.0864229[/C][C]0.956789[/C][/ROW]
[ROW][C]18[/C][C]0.0279799[/C][C]0.0559597[/C][C]0.97202[/C][/ROW]
[ROW][C]19[/C][C]0.0180514[/C][C]0.0361028[/C][C]0.981949[/C][/ROW]
[ROW][C]20[/C][C]0.011121[/C][C]0.0222419[/C][C]0.988879[/C][/ROW]
[ROW][C]21[/C][C]0.0120323[/C][C]0.0240646[/C][C]0.987968[/C][/ROW]
[ROW][C]22[/C][C]0.0158971[/C][C]0.0317942[/C][C]0.984103[/C][/ROW]
[ROW][C]23[/C][C]0.0107224[/C][C]0.0214449[/C][C]0.989278[/C][/ROW]
[ROW][C]24[/C][C]0.0169361[/C][C]0.0338721[/C][C]0.983064[/C][/ROW]
[ROW][C]25[/C][C]0.0114336[/C][C]0.0228672[/C][C]0.988566[/C][/ROW]
[ROW][C]26[/C][C]0.00730293[/C][C]0.0146059[/C][C]0.992697[/C][/ROW]
[ROW][C]27[/C][C]0.0228917[/C][C]0.0457834[/C][C]0.977108[/C][/ROW]
[ROW][C]28[/C][C]0.015315[/C][C]0.0306299[/C][C]0.984685[/C][/ROW]
[ROW][C]29[/C][C]0.0103644[/C][C]0.0207288[/C][C]0.989636[/C][/ROW]
[ROW][C]30[/C][C]0.00699607[/C][C]0.0139921[/C][C]0.993004[/C][/ROW]
[ROW][C]31[/C][C]0.0105582[/C][C]0.0211164[/C][C]0.989442[/C][/ROW]
[ROW][C]32[/C][C]0.00704374[/C][C]0.0140875[/C][C]0.992956[/C][/ROW]
[ROW][C]33[/C][C]0.00513827[/C][C]0.0102765[/C][C]0.994862[/C][/ROW]
[ROW][C]34[/C][C]0.00406902[/C][C]0.00813805[/C][C]0.995931[/C][/ROW]
[ROW][C]35[/C][C]0.00295363[/C][C]0.00590725[/C][C]0.997046[/C][/ROW]
[ROW][C]36[/C][C]0.00191822[/C][C]0.00383645[/C][C]0.998082[/C][/ROW]
[ROW][C]37[/C][C]0.00123112[/C][C]0.00246225[/C][C]0.998769[/C][/ROW]
[ROW][C]38[/C][C]0.00075631[/C][C]0.00151262[/C][C]0.999244[/C][/ROW]
[ROW][C]39[/C][C]0.000599441[/C][C]0.00119888[/C][C]0.999401[/C][/ROW]
[ROW][C]40[/C][C]0.000401005[/C][C]0.00080201[/C][C]0.999599[/C][/ROW]
[ROW][C]41[/C][C]0.00141707[/C][C]0.00283414[/C][C]0.998583[/C][/ROW]
[ROW][C]42[/C][C]0.000975706[/C][C]0.00195141[/C][C]0.999024[/C][/ROW]
[ROW][C]43[/C][C]0.000937495[/C][C]0.00187499[/C][C]0.999063[/C][/ROW]
[ROW][C]44[/C][C]0.000605397[/C][C]0.00121079[/C][C]0.999395[/C][/ROW]
[ROW][C]45[/C][C]0.000382853[/C][C]0.000765707[/C][C]0.999617[/C][/ROW]
[ROW][C]46[/C][C]0.000288624[/C][C]0.000577247[/C][C]0.999711[/C][/ROW]
[ROW][C]47[/C][C]0.000200085[/C][C]0.00040017[/C][C]0.9998[/C][/ROW]
[ROW][C]48[/C][C]0.00018861[/C][C]0.00037722[/C][C]0.999811[/C][/ROW]
[ROW][C]49[/C][C]0.000202039[/C][C]0.000404078[/C][C]0.999798[/C][/ROW]
[ROW][C]50[/C][C]0.000149468[/C][C]0.000298936[/C][C]0.999851[/C][/ROW]
[ROW][C]51[/C][C]0.000103791[/C][C]0.000207582[/C][C]0.999896[/C][/ROW]
[ROW][C]52[/C][C]0.000412519[/C][C]0.000825037[/C][C]0.999587[/C][/ROW]
[ROW][C]53[/C][C]0.000272241[/C][C]0.000544482[/C][C]0.999728[/C][/ROW]
[ROW][C]54[/C][C]0.000225358[/C][C]0.000450716[/C][C]0.999775[/C][/ROW]
[ROW][C]55[/C][C]0.000239428[/C][C]0.000478856[/C][C]0.999761[/C][/ROW]
[ROW][C]56[/C][C]0.000164309[/C][C]0.000328618[/C][C]0.999836[/C][/ROW]
[ROW][C]57[/C][C]0.000801937[/C][C]0.00160387[/C][C]0.999198[/C][/ROW]
[ROW][C]58[/C][C]0.000615593[/C][C]0.00123119[/C][C]0.999384[/C][/ROW]
[ROW][C]59[/C][C]0.000657683[/C][C]0.00131537[/C][C]0.999342[/C][/ROW]
[ROW][C]60[/C][C]0.000631231[/C][C]0.00126246[/C][C]0.999369[/C][/ROW]
[ROW][C]61[/C][C]0.000497184[/C][C]0.000994368[/C][C]0.999503[/C][/ROW]
[ROW][C]62[/C][C]0.000410295[/C][C]0.00082059[/C][C]0.99959[/C][/ROW]
[ROW][C]63[/C][C]0.000943301[/C][C]0.0018866[/C][C]0.999057[/C][/ROW]
[ROW][C]64[/C][C]0.00192497[/C][C]0.00384994[/C][C]0.998075[/C][/ROW]
[ROW][C]65[/C][C]0.00171178[/C][C]0.00342357[/C][C]0.998288[/C][/ROW]
[ROW][C]66[/C][C]0.00164405[/C][C]0.0032881[/C][C]0.998356[/C][/ROW]
[ROW][C]67[/C][C]0.00122666[/C][C]0.00245333[/C][C]0.998773[/C][/ROW]
[ROW][C]68[/C][C]0.00106813[/C][C]0.00213626[/C][C]0.998932[/C][/ROW]
[ROW][C]69[/C][C]0.00124175[/C][C]0.00248349[/C][C]0.998758[/C][/ROW]
[ROW][C]70[/C][C]0.000922971[/C][C]0.00184594[/C][C]0.999077[/C][/ROW]
[ROW][C]71[/C][C]0.000680775[/C][C]0.00136155[/C][C]0.999319[/C][/ROW]
[ROW][C]72[/C][C]0.000492744[/C][C]0.000985488[/C][C]0.999507[/C][/ROW]
[ROW][C]73[/C][C]0.000486391[/C][C]0.000972782[/C][C]0.999514[/C][/ROW]
[ROW][C]74[/C][C]0.000617584[/C][C]0.00123517[/C][C]0.999382[/C][/ROW]
[ROW][C]75[/C][C]0.00046757[/C][C]0.000935139[/C][C]0.999532[/C][/ROW]
[ROW][C]76[/C][C]0.000370477[/C][C]0.000740954[/C][C]0.99963[/C][/ROW]
[ROW][C]77[/C][C]0.000273118[/C][C]0.000546236[/C][C]0.999727[/C][/ROW]
[ROW][C]78[/C][C]0.000237893[/C][C]0.000475786[/C][C]0.999762[/C][/ROW]
[ROW][C]79[/C][C]0.000194068[/C][C]0.000388136[/C][C]0.999806[/C][/ROW]
[ROW][C]80[/C][C]0.000267292[/C][C]0.000534584[/C][C]0.999733[/C][/ROW]
[ROW][C]81[/C][C]0.000201344[/C][C]0.000402688[/C][C]0.999799[/C][/ROW]
[ROW][C]82[/C][C]0.000175827[/C][C]0.000351655[/C][C]0.999824[/C][/ROW]
[ROW][C]83[/C][C]0.000128345[/C][C]0.000256691[/C][C]0.999872[/C][/ROW]
[ROW][C]84[/C][C]0.000893118[/C][C]0.00178624[/C][C]0.999107[/C][/ROW]
[ROW][C]85[/C][C]0.000714526[/C][C]0.00142905[/C][C]0.999285[/C][/ROW]
[ROW][C]86[/C][C]0.000539887[/C][C]0.00107977[/C][C]0.99946[/C][/ROW]
[ROW][C]87[/C][C]0.000408717[/C][C]0.000817435[/C][C]0.999591[/C][/ROW]
[ROW][C]88[/C][C]0.000308708[/C][C]0.000617416[/C][C]0.999691[/C][/ROW]
[ROW][C]89[/C][C]0.000331654[/C][C]0.000663308[/C][C]0.999668[/C][/ROW]
[ROW][C]90[/C][C]0.000282386[/C][C]0.000564771[/C][C]0.999718[/C][/ROW]
[ROW][C]91[/C][C]0.00021877[/C][C]0.00043754[/C][C]0.999781[/C][/ROW]
[ROW][C]92[/C][C]0.000767129[/C][C]0.00153426[/C][C]0.999233[/C][/ROW]
[ROW][C]93[/C][C]0.00065207[/C][C]0.00130414[/C][C]0.999348[/C][/ROW]
[ROW][C]94[/C][C]0.000634341[/C][C]0.00126868[/C][C]0.999366[/C][/ROW]
[ROW][C]95[/C][C]0.000902408[/C][C]0.00180482[/C][C]0.999098[/C][/ROW]
[ROW][C]96[/C][C]0.000922396[/C][C]0.00184479[/C][C]0.999078[/C][/ROW]
[ROW][C]97[/C][C]0.00144161[/C][C]0.00288323[/C][C]0.998558[/C][/ROW]
[ROW][C]98[/C][C]0.00115782[/C][C]0.00231564[/C][C]0.998842[/C][/ROW]
[ROW][C]99[/C][C]0.00104203[/C][C]0.00208406[/C][C]0.998958[/C][/ROW]
[ROW][C]100[/C][C]0.00142724[/C][C]0.00285449[/C][C]0.998573[/C][/ROW]
[ROW][C]101[/C][C]0.00118984[/C][C]0.00237967[/C][C]0.99881[/C][/ROW]
[ROW][C]102[/C][C]0.00103489[/C][C]0.00206978[/C][C]0.998965[/C][/ROW]
[ROW][C]103[/C][C]0.00132087[/C][C]0.00264173[/C][C]0.998679[/C][/ROW]
[ROW][C]104[/C][C]0.00127499[/C][C]0.00254999[/C][C]0.998725[/C][/ROW]
[ROW][C]105[/C][C]0.00130441[/C][C]0.00260881[/C][C]0.998696[/C][/ROW]
[ROW][C]106[/C][C]0.00155093[/C][C]0.00310186[/C][C]0.998449[/C][/ROW]
[ROW][C]107[/C][C]0.00145571[/C][C]0.00291142[/C][C]0.998544[/C][/ROW]
[ROW][C]108[/C][C]0.00666504[/C][C]0.0133301[/C][C]0.993335[/C][/ROW]
[ROW][C]109[/C][C]0.0141227[/C][C]0.0282453[/C][C]0.985877[/C][/ROW]
[ROW][C]110[/C][C]0.0144348[/C][C]0.0288697[/C][C]0.985565[/C][/ROW]
[ROW][C]111[/C][C]0.0127356[/C][C]0.0254713[/C][C]0.987264[/C][/ROW]
[ROW][C]112[/C][C]0.0114306[/C][C]0.0228611[/C][C]0.988569[/C][/ROW]
[ROW][C]113[/C][C]0.0494556[/C][C]0.0989111[/C][C]0.950544[/C][/ROW]
[ROW][C]114[/C][C]0.0442907[/C][C]0.0885815[/C][C]0.955709[/C][/ROW]
[ROW][C]115[/C][C]0.0930298[/C][C]0.18606[/C][C]0.90697[/C][/ROW]
[ROW][C]116[/C][C]0.155377[/C][C]0.310753[/C][C]0.844623[/C][/ROW]
[ROW][C]117[/C][C]0.19348[/C][C]0.386959[/C][C]0.80652[/C][/ROW]
[ROW][C]118[/C][C]0.180021[/C][C]0.360042[/C][C]0.819979[/C][/ROW]
[ROW][C]119[/C][C]0.232045[/C][C]0.464089[/C][C]0.767955[/C][/ROW]
[ROW][C]120[/C][C]0.372757[/C][C]0.745514[/C][C]0.627243[/C][/ROW]
[ROW][C]121[/C][C]0.403557[/C][C]0.807114[/C][C]0.596443[/C][/ROW]
[ROW][C]122[/C][C]0.384181[/C][C]0.768362[/C][C]0.615819[/C][/ROW]
[ROW][C]123[/C][C]0.491795[/C][C]0.98359[/C][C]0.508205[/C][/ROW]
[ROW][C]124[/C][C]0.486758[/C][C]0.973517[/C][C]0.513242[/C][/ROW]
[ROW][C]125[/C][C]0.480942[/C][C]0.961884[/C][C]0.519058[/C][/ROW]
[ROW][C]126[/C][C]0.458252[/C][C]0.916504[/C][C]0.541748[/C][/ROW]
[ROW][C]127[/C][C]0.477322[/C][C]0.954643[/C][C]0.522678[/C][/ROW]
[ROW][C]128[/C][C]0.456495[/C][C]0.91299[/C][C]0.543505[/C][/ROW]
[ROW][C]129[/C][C]0.576965[/C][C]0.846069[/C][C]0.423035[/C][/ROW]
[ROW][C]130[/C][C]0.559265[/C][C]0.881471[/C][C]0.440735[/C][/ROW]
[ROW][C]131[/C][C]0.551776[/C][C]0.896448[/C][C]0.448224[/C][/ROW]
[ROW][C]132[/C][C]0.569888[/C][C]0.860225[/C][C]0.430112[/C][/ROW]
[ROW][C]133[/C][C]0.557146[/C][C]0.885709[/C][C]0.442854[/C][/ROW]
[ROW][C]134[/C][C]0.544874[/C][C]0.910251[/C][C]0.455126[/C][/ROW]
[ROW][C]135[/C][C]0.521217[/C][C]0.957567[/C][C]0.478783[/C][/ROW]
[ROW][C]136[/C][C]0.496497[/C][C]0.992995[/C][C]0.503503[/C][/ROW]
[ROW][C]137[/C][C]0.538643[/C][C]0.922714[/C][C]0.461357[/C][/ROW]
[ROW][C]138[/C][C]0.586745[/C][C]0.82651[/C][C]0.413255[/C][/ROW]
[ROW][C]139[/C][C]0.666513[/C][C]0.666974[/C][C]0.333487[/C][/ROW]
[ROW][C]140[/C][C]0.677493[/C][C]0.645014[/C][C]0.322507[/C][/ROW]
[ROW][C]141[/C][C]0.651901[/C][C]0.696197[/C][C]0.348099[/C][/ROW]
[ROW][C]142[/C][C]0.696538[/C][C]0.606925[/C][C]0.303462[/C][/ROW]
[ROW][C]143[/C][C]0.688397[/C][C]0.623206[/C][C]0.311603[/C][/ROW]
[ROW][C]144[/C][C]0.726971[/C][C]0.546059[/C][C]0.273029[/C][/ROW]
[ROW][C]145[/C][C]0.732901[/C][C]0.534198[/C][C]0.267099[/C][/ROW]
[ROW][C]146[/C][C]0.766877[/C][C]0.466245[/C][C]0.233123[/C][/ROW]
[ROW][C]147[/C][C]0.745473[/C][C]0.509054[/C][C]0.254527[/C][/ROW]
[ROW][C]148[/C][C]0.725917[/C][C]0.548165[/C][C]0.274083[/C][/ROW]
[ROW][C]149[/C][C]0.708382[/C][C]0.583236[/C][C]0.291618[/C][/ROW]
[ROW][C]150[/C][C]0.758382[/C][C]0.483236[/C][C]0.241618[/C][/ROW]
[ROW][C]151[/C][C]0.768883[/C][C]0.462235[/C][C]0.231117[/C][/ROW]
[ROW][C]152[/C][C]0.765537[/C][C]0.468925[/C][C]0.234463[/C][/ROW]
[ROW][C]153[/C][C]0.8052[/C][C]0.3896[/C][C]0.1948[/C][/ROW]
[ROW][C]154[/C][C]0.813137[/C][C]0.373726[/C][C]0.186863[/C][/ROW]
[ROW][C]155[/C][C]0.796494[/C][C]0.407012[/C][C]0.203506[/C][/ROW]
[ROW][C]156[/C][C]0.775904[/C][C]0.448192[/C][C]0.224096[/C][/ROW]
[ROW][C]157[/C][C]0.82578[/C][C]0.348441[/C][C]0.17422[/C][/ROW]
[ROW][C]158[/C][C]0.816104[/C][C]0.367792[/C][C]0.183896[/C][/ROW]
[ROW][C]159[/C][C]0.799825[/C][C]0.400349[/C][C]0.200175[/C][/ROW]
[ROW][C]160[/C][C]0.78576[/C][C]0.428479[/C][C]0.21424[/C][/ROW]
[ROW][C]161[/C][C]0.823429[/C][C]0.353142[/C][C]0.176571[/C][/ROW]
[ROW][C]162[/C][C]0.815633[/C][C]0.368733[/C][C]0.184367[/C][/ROW]
[ROW][C]163[/C][C]0.823774[/C][C]0.352453[/C][C]0.176226[/C][/ROW]
[ROW][C]164[/C][C]0.817552[/C][C]0.364895[/C][C]0.182448[/C][/ROW]
[ROW][C]165[/C][C]0.882456[/C][C]0.235087[/C][C]0.117544[/C][/ROW]
[ROW][C]166[/C][C]0.873441[/C][C]0.253118[/C][C]0.126559[/C][/ROW]
[ROW][C]167[/C][C]0.897972[/C][C]0.204057[/C][C]0.102028[/C][/ROW]
[ROW][C]168[/C][C]0.88693[/C][C]0.22614[/C][C]0.11307[/C][/ROW]
[ROW][C]169[/C][C]0.873965[/C][C]0.25207[/C][C]0.126035[/C][/ROW]
[ROW][C]170[/C][C]0.864878[/C][C]0.270244[/C][C]0.135122[/C][/ROW]
[ROW][C]171[/C][C]0.856139[/C][C]0.287723[/C][C]0.143861[/C][/ROW]
[ROW][C]172[/C][C]0.879124[/C][C]0.241751[/C][C]0.120876[/C][/ROW]
[ROW][C]173[/C][C]0.863651[/C][C]0.272699[/C][C]0.136349[/C][/ROW]
[ROW][C]174[/C][C]0.851908[/C][C]0.296183[/C][C]0.148092[/C][/ROW]
[ROW][C]175[/C][C]0.839349[/C][C]0.321302[/C][C]0.160651[/C][/ROW]
[ROW][C]176[/C][C]0.852344[/C][C]0.295312[/C][C]0.147656[/C][/ROW]
[ROW][C]177[/C][C]0.832026[/C][C]0.335948[/C][C]0.167974[/C][/ROW]
[ROW][C]178[/C][C]0.876062[/C][C]0.247875[/C][C]0.123938[/C][/ROW]
[ROW][C]179[/C][C]0.864072[/C][C]0.271857[/C][C]0.135928[/C][/ROW]
[ROW][C]180[/C][C]0.903061[/C][C]0.193878[/C][C]0.096939[/C][/ROW]
[ROW][C]181[/C][C]0.887559[/C][C]0.224881[/C][C]0.112441[/C][/ROW]
[ROW][C]182[/C][C]0.870259[/C][C]0.259482[/C][C]0.129741[/C][/ROW]
[ROW][C]183[/C][C]0.904094[/C][C]0.191812[/C][C]0.0959062[/C][/ROW]
[ROW][C]184[/C][C]0.892504[/C][C]0.214993[/C][C]0.107496[/C][/ROW]
[ROW][C]185[/C][C]0.875856[/C][C]0.248289[/C][C]0.124144[/C][/ROW]
[ROW][C]186[/C][C]0.868656[/C][C]0.262689[/C][C]0.131344[/C][/ROW]
[ROW][C]187[/C][C]0.875168[/C][C]0.249665[/C][C]0.124832[/C][/ROW]
[ROW][C]188[/C][C]0.856478[/C][C]0.287044[/C][C]0.143522[/C][/ROW]
[ROW][C]189[/C][C]0.840313[/C][C]0.319374[/C][C]0.159687[/C][/ROW]
[ROW][C]190[/C][C]0.819603[/C][C]0.360794[/C][C]0.180397[/C][/ROW]
[ROW][C]191[/C][C]0.818602[/C][C]0.362796[/C][C]0.181398[/C][/ROW]
[ROW][C]192[/C][C]0.800911[/C][C]0.398178[/C][C]0.199089[/C][/ROW]
[ROW][C]193[/C][C]0.816296[/C][C]0.367409[/C][C]0.183704[/C][/ROW]
[ROW][C]194[/C][C]0.837556[/C][C]0.324887[/C][C]0.162444[/C][/ROW]
[ROW][C]195[/C][C]0.813894[/C][C]0.372212[/C][C]0.186106[/C][/ROW]
[ROW][C]196[/C][C]0.793001[/C][C]0.413998[/C][C]0.206999[/C][/ROW]
[ROW][C]197[/C][C]0.76895[/C][C]0.462101[/C][C]0.23105[/C][/ROW]
[ROW][C]198[/C][C]0.740687[/C][C]0.518627[/C][C]0.259313[/C][/ROW]
[ROW][C]199[/C][C]0.714521[/C][C]0.570959[/C][C]0.285479[/C][/ROW]
[ROW][C]200[/C][C]0.701733[/C][C]0.596534[/C][C]0.298267[/C][/ROW]
[ROW][C]201[/C][C]0.788547[/C][C]0.422907[/C][C]0.211453[/C][/ROW]
[ROW][C]202[/C][C]0.760229[/C][C]0.479542[/C][C]0.239771[/C][/ROW]
[ROW][C]203[/C][C]0.730036[/C][C]0.539928[/C][C]0.269964[/C][/ROW]
[ROW][C]204[/C][C]0.708399[/C][C]0.583201[/C][C]0.291601[/C][/ROW]
[ROW][C]205[/C][C]0.678643[/C][C]0.642713[/C][C]0.321357[/C][/ROW]
[ROW][C]206[/C][C]0.645957[/C][C]0.708085[/C][C]0.354043[/C][/ROW]
[ROW][C]207[/C][C]0.663101[/C][C]0.673798[/C][C]0.336899[/C][/ROW]
[ROW][C]208[/C][C]0.626931[/C][C]0.746138[/C][C]0.373069[/C][/ROW]
[ROW][C]209[/C][C]0.68635[/C][C]0.6273[/C][C]0.31365[/C][/ROW]
[ROW][C]210[/C][C]0.677193[/C][C]0.645614[/C][C]0.322807[/C][/ROW]
[ROW][C]211[/C][C]0.661798[/C][C]0.676404[/C][C]0.338202[/C][/ROW]
[ROW][C]212[/C][C]0.631946[/C][C]0.736108[/C][C]0.368054[/C][/ROW]
[ROW][C]213[/C][C]0.607315[/C][C]0.78537[/C][C]0.392685[/C][/ROW]
[ROW][C]214[/C][C]0.570029[/C][C]0.859943[/C][C]0.429971[/C][/ROW]
[ROW][C]215[/C][C]0.552939[/C][C]0.894122[/C][C]0.447061[/C][/ROW]
[ROW][C]216[/C][C]0.516463[/C][C]0.967073[/C][C]0.483537[/C][/ROW]
[ROW][C]217[/C][C]0.495196[/C][C]0.990392[/C][C]0.504804[/C][/ROW]
[ROW][C]218[/C][C]0.522676[/C][C]0.954648[/C][C]0.477324[/C][/ROW]
[ROW][C]219[/C][C]0.500294[/C][C]0.999412[/C][C]0.499706[/C][/ROW]
[ROW][C]220[/C][C]0.47197[/C][C]0.94394[/C][C]0.52803[/C][/ROW]
[ROW][C]221[/C][C]0.488956[/C][C]0.977913[/C][C]0.511044[/C][/ROW]
[ROW][C]222[/C][C]0.578962[/C][C]0.842076[/C][C]0.421038[/C][/ROW]
[ROW][C]223[/C][C]0.54304[/C][C]0.91392[/C][C]0.45696[/C][/ROW]
[ROW][C]224[/C][C]0.515994[/C][C]0.968013[/C][C]0.484006[/C][/ROW]
[ROW][C]225[/C][C]0.599029[/C][C]0.801942[/C][C]0.400971[/C][/ROW]
[ROW][C]226[/C][C]0.569114[/C][C]0.861772[/C][C]0.430886[/C][/ROW]
[ROW][C]227[/C][C]0.569563[/C][C]0.860873[/C][C]0.430437[/C][/ROW]
[ROW][C]228[/C][C]0.538792[/C][C]0.922417[/C][C]0.461208[/C][/ROW]
[ROW][C]229[/C][C]0.581982[/C][C]0.836035[/C][C]0.418018[/C][/ROW]
[ROW][C]230[/C][C]0.664753[/C][C]0.670494[/C][C]0.335247[/C][/ROW]
[ROW][C]231[/C][C]0.717716[/C][C]0.564567[/C][C]0.282284[/C][/ROW]
[ROW][C]232[/C][C]0.798663[/C][C]0.402675[/C][C]0.201337[/C][/ROW]
[ROW][C]233[/C][C]0.763105[/C][C]0.47379[/C][C]0.236895[/C][/ROW]
[ROW][C]234[/C][C]0.723929[/C][C]0.552143[/C][C]0.276071[/C][/ROW]
[ROW][C]235[/C][C]0.734095[/C][C]0.53181[/C][C]0.265905[/C][/ROW]
[ROW][C]236[/C][C]0.926873[/C][C]0.146253[/C][C]0.0731265[/C][/ROW]
[ROW][C]237[/C][C]0.912735[/C][C]0.17453[/C][C]0.0872649[/C][/ROW]
[ROW][C]238[/C][C]0.890291[/C][C]0.219417[/C][C]0.109709[/C][/ROW]
[ROW][C]239[/C][C]0.868795[/C][C]0.26241[/C][C]0.131205[/C][/ROW]
[ROW][C]240[/C][C]0.844349[/C][C]0.311302[/C][C]0.155651[/C][/ROW]
[ROW][C]241[/C][C]0.812044[/C][C]0.375912[/C][C]0.187956[/C][/ROW]
[ROW][C]242[/C][C]0.791708[/C][C]0.416584[/C][C]0.208292[/C][/ROW]
[ROW][C]243[/C][C]0.755629[/C][C]0.488741[/C][C]0.244371[/C][/ROW]
[ROW][C]244[/C][C]0.886194[/C][C]0.227613[/C][C]0.113806[/C][/ROW]
[ROW][C]245[/C][C]0.870694[/C][C]0.258611[/C][C]0.129306[/C][/ROW]
[ROW][C]246[/C][C]0.839922[/C][C]0.320157[/C][C]0.160078[/C][/ROW]
[ROW][C]247[/C][C]0.862894[/C][C]0.274213[/C][C]0.137106[/C][/ROW]
[ROW][C]248[/C][C]0.837482[/C][C]0.325036[/C][C]0.162518[/C][/ROW]
[ROW][C]249[/C][C]0.818964[/C][C]0.362073[/C][C]0.181036[/C][/ROW]
[ROW][C]250[/C][C]0.776333[/C][C]0.447335[/C][C]0.223667[/C][/ROW]
[ROW][C]251[/C][C]0.741656[/C][C]0.516689[/C][C]0.258344[/C][/ROW]
[ROW][C]252[/C][C]0.701072[/C][C]0.597856[/C][C]0.298928[/C][/ROW]
[ROW][C]253[/C][C]0.652907[/C][C]0.694186[/C][C]0.347093[/C][/ROW]
[ROW][C]254[/C][C]0.725762[/C][C]0.548476[/C][C]0.274238[/C][/ROW]
[ROW][C]255[/C][C]0.725743[/C][C]0.548514[/C][C]0.274257[/C][/ROW]
[ROW][C]256[/C][C]0.709391[/C][C]0.581217[/C][C]0.290609[/C][/ROW]
[ROW][C]257[/C][C]0.84857[/C][C]0.30286[/C][C]0.15143[/C][/ROW]
[ROW][C]258[/C][C]0.964307[/C][C]0.0713868[/C][C]0.0356934[/C][/ROW]
[ROW][C]259[/C][C]0.945868[/C][C]0.108264[/C][C]0.0541322[/C][/ROW]
[ROW][C]260[/C][C]0.981851[/C][C]0.0362986[/C][C]0.0181493[/C][/ROW]
[ROW][C]261[/C][C]0.969693[/C][C]0.0606148[/C][C]0.0303074[/C][/ROW]
[ROW][C]262[/C][C]0.965708[/C][C]0.0685846[/C][C]0.0342923[/C][/ROW]
[ROW][C]263[/C][C]0.944204[/C][C]0.111593[/C][C]0.0557963[/C][/ROW]
[ROW][C]264[/C][C]0.947436[/C][C]0.105128[/C][C]0.0525642[/C][/ROW]
[ROW][C]265[/C][C]0.929187[/C][C]0.141625[/C][C]0.0708125[/C][/ROW]
[ROW][C]266[/C][C]0.894931[/C][C]0.210138[/C][C]0.105069[/C][/ROW]
[ROW][C]267[/C][C]0.834853[/C][C]0.330293[/C][C]0.165147[/C][/ROW]
[ROW][C]268[/C][C]0.772776[/C][C]0.454449[/C][C]0.227224[/C][/ROW]
[ROW][C]269[/C][C]0.672472[/C][C]0.655055[/C][C]0.327528[/C][/ROW]
[ROW][C]270[/C][C]0.849305[/C][C]0.30139[/C][C]0.150695[/C][/ROW]
[ROW][C]271[/C][C]0.769453[/C][C]0.461094[/C][C]0.230547[/C][/ROW]
[ROW][C]272[/C][C]0.691299[/C][C]0.617402[/C][C]0.308701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268776&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268776&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.5035270.9929450.496473
70.4147290.8294580.585271
80.2768230.5536460.723177
90.2471590.4943180.752841
100.1851570.3703140.814843
110.1156290.2312570.884371
120.1187690.2375370.881231
130.0959110.1918220.904089
140.07954210.1590840.920458
150.08219750.1643950.917803
160.06530690.1306140.934693
170.04321150.08642290.956789
180.02797990.05595970.97202
190.01805140.03610280.981949
200.0111210.02224190.988879
210.01203230.02406460.987968
220.01589710.03179420.984103
230.01072240.02144490.989278
240.01693610.03387210.983064
250.01143360.02286720.988566
260.007302930.01460590.992697
270.02289170.04578340.977108
280.0153150.03062990.984685
290.01036440.02072880.989636
300.006996070.01399210.993004
310.01055820.02111640.989442
320.007043740.01408750.992956
330.005138270.01027650.994862
340.004069020.008138050.995931
350.002953630.005907250.997046
360.001918220.003836450.998082
370.001231120.002462250.998769
380.000756310.001512620.999244
390.0005994410.001198880.999401
400.0004010050.000802010.999599
410.001417070.002834140.998583
420.0009757060.001951410.999024
430.0009374950.001874990.999063
440.0006053970.001210790.999395
450.0003828530.0007657070.999617
460.0002886240.0005772470.999711
470.0002000850.000400170.9998
480.000188610.000377220.999811
490.0002020390.0004040780.999798
500.0001494680.0002989360.999851
510.0001037910.0002075820.999896
520.0004125190.0008250370.999587
530.0002722410.0005444820.999728
540.0002253580.0004507160.999775
550.0002394280.0004788560.999761
560.0001643090.0003286180.999836
570.0008019370.001603870.999198
580.0006155930.001231190.999384
590.0006576830.001315370.999342
600.0006312310.001262460.999369
610.0004971840.0009943680.999503
620.0004102950.000820590.99959
630.0009433010.00188660.999057
640.001924970.003849940.998075
650.001711780.003423570.998288
660.001644050.00328810.998356
670.001226660.002453330.998773
680.001068130.002136260.998932
690.001241750.002483490.998758
700.0009229710.001845940.999077
710.0006807750.001361550.999319
720.0004927440.0009854880.999507
730.0004863910.0009727820.999514
740.0006175840.001235170.999382
750.000467570.0009351390.999532
760.0003704770.0007409540.99963
770.0002731180.0005462360.999727
780.0002378930.0004757860.999762
790.0001940680.0003881360.999806
800.0002672920.0005345840.999733
810.0002013440.0004026880.999799
820.0001758270.0003516550.999824
830.0001283450.0002566910.999872
840.0008931180.001786240.999107
850.0007145260.001429050.999285
860.0005398870.001079770.99946
870.0004087170.0008174350.999591
880.0003087080.0006174160.999691
890.0003316540.0006633080.999668
900.0002823860.0005647710.999718
910.000218770.000437540.999781
920.0007671290.001534260.999233
930.000652070.001304140.999348
940.0006343410.001268680.999366
950.0009024080.001804820.999098
960.0009223960.001844790.999078
970.001441610.002883230.998558
980.001157820.002315640.998842
990.001042030.002084060.998958
1000.001427240.002854490.998573
1010.001189840.002379670.99881
1020.001034890.002069780.998965
1030.001320870.002641730.998679
1040.001274990.002549990.998725
1050.001304410.002608810.998696
1060.001550930.003101860.998449
1070.001455710.002911420.998544
1080.006665040.01333010.993335
1090.01412270.02824530.985877
1100.01443480.02886970.985565
1110.01273560.02547130.987264
1120.01143060.02286110.988569
1130.04945560.09891110.950544
1140.04429070.08858150.955709
1150.09302980.186060.90697
1160.1553770.3107530.844623
1170.193480.3869590.80652
1180.1800210.3600420.819979
1190.2320450.4640890.767955
1200.3727570.7455140.627243
1210.4035570.8071140.596443
1220.3841810.7683620.615819
1230.4917950.983590.508205
1240.4867580.9735170.513242
1250.4809420.9618840.519058
1260.4582520.9165040.541748
1270.4773220.9546430.522678
1280.4564950.912990.543505
1290.5769650.8460690.423035
1300.5592650.8814710.440735
1310.5517760.8964480.448224
1320.5698880.8602250.430112
1330.5571460.8857090.442854
1340.5448740.9102510.455126
1350.5212170.9575670.478783
1360.4964970.9929950.503503
1370.5386430.9227140.461357
1380.5867450.826510.413255
1390.6665130.6669740.333487
1400.6774930.6450140.322507
1410.6519010.6961970.348099
1420.6965380.6069250.303462
1430.6883970.6232060.311603
1440.7269710.5460590.273029
1450.7329010.5341980.267099
1460.7668770.4662450.233123
1470.7454730.5090540.254527
1480.7259170.5481650.274083
1490.7083820.5832360.291618
1500.7583820.4832360.241618
1510.7688830.4622350.231117
1520.7655370.4689250.234463
1530.80520.38960.1948
1540.8131370.3737260.186863
1550.7964940.4070120.203506
1560.7759040.4481920.224096
1570.825780.3484410.17422
1580.8161040.3677920.183896
1590.7998250.4003490.200175
1600.785760.4284790.21424
1610.8234290.3531420.176571
1620.8156330.3687330.184367
1630.8237740.3524530.176226
1640.8175520.3648950.182448
1650.8824560.2350870.117544
1660.8734410.2531180.126559
1670.8979720.2040570.102028
1680.886930.226140.11307
1690.8739650.252070.126035
1700.8648780.2702440.135122
1710.8561390.2877230.143861
1720.8791240.2417510.120876
1730.8636510.2726990.136349
1740.8519080.2961830.148092
1750.8393490.3213020.160651
1760.8523440.2953120.147656
1770.8320260.3359480.167974
1780.8760620.2478750.123938
1790.8640720.2718570.135928
1800.9030610.1938780.096939
1810.8875590.2248810.112441
1820.8702590.2594820.129741
1830.9040940.1918120.0959062
1840.8925040.2149930.107496
1850.8758560.2482890.124144
1860.8686560.2626890.131344
1870.8751680.2496650.124832
1880.8564780.2870440.143522
1890.8403130.3193740.159687
1900.8196030.3607940.180397
1910.8186020.3627960.181398
1920.8009110.3981780.199089
1930.8162960.3674090.183704
1940.8375560.3248870.162444
1950.8138940.3722120.186106
1960.7930010.4139980.206999
1970.768950.4621010.23105
1980.7406870.5186270.259313
1990.7145210.5709590.285479
2000.7017330.5965340.298267
2010.7885470.4229070.211453
2020.7602290.4795420.239771
2030.7300360.5399280.269964
2040.7083990.5832010.291601
2050.6786430.6427130.321357
2060.6459570.7080850.354043
2070.6631010.6737980.336899
2080.6269310.7461380.373069
2090.686350.62730.31365
2100.6771930.6456140.322807
2110.6617980.6764040.338202
2120.6319460.7361080.368054
2130.6073150.785370.392685
2140.5700290.8599430.429971
2150.5529390.8941220.447061
2160.5164630.9670730.483537
2170.4951960.9903920.504804
2180.5226760.9546480.477324
2190.5002940.9994120.499706
2200.471970.943940.52803
2210.4889560.9779130.511044
2220.5789620.8420760.421038
2230.543040.913920.45696
2240.5159940.9680130.484006
2250.5990290.8019420.400971
2260.5691140.8617720.430886
2270.5695630.8608730.430437
2280.5387920.9224170.461208
2290.5819820.8360350.418018
2300.6647530.6704940.335247
2310.7177160.5645670.282284
2320.7986630.4026750.201337
2330.7631050.473790.236895
2340.7239290.5521430.276071
2350.7340950.531810.265905
2360.9268730.1462530.0731265
2370.9127350.174530.0872649
2380.8902910.2194170.109709
2390.8687950.262410.131205
2400.8443490.3113020.155651
2410.8120440.3759120.187956
2420.7917080.4165840.208292
2430.7556290.4887410.244371
2440.8861940.2276130.113806
2450.8706940.2586110.129306
2460.8399220.3201570.160078
2470.8628940.2742130.137106
2480.8374820.3250360.162518
2490.8189640.3620730.181036
2500.7763330.4473350.223667
2510.7416560.5166890.258344
2520.7010720.5978560.298928
2530.6529070.6941860.347093
2540.7257620.5484760.274238
2550.7257430.5485140.274257
2560.7093910.5812170.290609
2570.848570.302860.15143
2580.9643070.07138680.0356934
2590.9458680.1082640.0541322
2600.9818510.03629860.0181493
2610.9696930.06061480.0303074
2620.9657080.06858460.0342923
2630.9442040.1115930.0557963
2640.9474360.1051280.0525642
2650.9291870.1416250.0708125
2660.8949310.2101380.105069
2670.8348530.3302930.165147
2680.7727760.4544490.227224
2690.6724720.6550550.327528
2700.8493050.301390.150695
2710.7694530.4610940.230547
2720.6912990.6174020.308701






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level740.277154NOK
5% type I error level950.355805NOK
10% type I error level1020.382022NOK

\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 & 74 & 0.277154 & NOK \tabularnewline
5% type I error level & 95 & 0.355805 & NOK \tabularnewline
10% type I error level & 102 & 0.382022 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268776&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]74[/C][C]0.277154[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]95[/C][C]0.355805[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]102[/C][C]0.382022[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268776&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268776&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level740.277154NOK
5% type I error level950.355805NOK
10% type I error level1020.382022NOK


Figures (Output of Computation)

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Input Parameters & R Code

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