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Author's title

Author

*Unverified author*

R Software Module

rwasp_logisticregression.wasp

Title produced by software

Bias-Reduced Logistic Regression

Date of computation

Thu, 25 Aug 2016 10:33:18 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/25/t14721181633157wll13h3n2nc.htm/, Retrieved Sun, 05 May 2024 11:02:39 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 11:02:39 +0200

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Dataseries X:

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Histogram

Boxplots

0	0	1	0	0	2	0.23
0	1	0	1	0	1	0.3
0	0	1	1	0	2	0.37
0	0	0	0	0	2	0.31
0	1	0	1	0	2	0.33
0	0	1	1	0	1	0.25
0	0	1	0	0	2	0.37
0	1	1	1	0	1	0.28
0	0	1	0	0	2	0.28
0	0	0	0	0	2	0.42
0	0	1	1	0	2	0.37
0	0	1	0	0	2	0.16
0	1	0	1	0	3	0.27
0	0	1	0	0	2	0.22
0	1	1	0	0	2	0.27
0	0	0	0	0	1	0.23
0	1	2	1	0	1	0.33
0	1	1	1	0	1	0.23
0	0	1	1	0	2	0.3
0	0	1	0	0	2	0.38
0	0	1	0	0	2	0.29
0	0	0	0	0	2	0.29
0	0	0	0	0	2	0.35
0	0	1	0	0	2	0.14
0	0	1	1	0	2	0.32
0	0	1	0	0	2	0.2
0	0	1	0	0	2	0.24
0	0	1	0	0	2	0.24
0	0	1	0	0	2	0.37
0	0	1	0	0	2	0.37
0	0	1	0	0	2	0.39
0	1	1	0	0	2	0.26
0	1	1	0	0	2	0.25
0	0	1	0	0	2	0.37
0	0	1	1	0	2	0.17
0	0	1	0	0	2	0.32
0	0	1	0	1	2	0.28
0	0	1	0	0	2	0.24
0	0	1	1	0	2	0.37
0	1	1	0	0	2	0.3
0	0	1	0	1	2	0.27
0	0	1	0	0	2	0.27
0	0	1	0	0	2	0.26
0	0	1	0	0	2	0.23
0	0	1	0	0	2	0.35
0	0	1	1	0	2	0.3
0	1	1	1	0	1	0.41
0	1	1	1	0	3	0.39
0	0	1	0	0	2	0.28
0	0	1	0	0	2	0.37
0	0	1	0	0	2	0.24
0	0	1	0	0	2	0.21
0	0	1	0	0	2	0.37
0	0	1	0	0	2	0.33
0	0	1	1	0	2	0.16
0	0	1	0	0	2	0.36
0	1	1	1	0	1	0.16
0	0	0	0	0	2	0.22
0	1	1	1	0	1	0.24
0	0	0	0	0	2	0.37
0	1	0	1	0	1	0.26
0	0	1	0	0	2	0.15
0	0	1	0	0	2	0.19
0	0	1	0	0	2	0.2
0	1	1	1	0	1	0.31
0	0	1	0	0	2	0.24
0	0	1	1	0	1	0.46
0	1	1	1	0	1	0.41
0	0	1	0	0	2	0.35
0	0	1	1	0	2	0.35
0	0	1	0	0	2	0.14
0	1	1	1	0	1	0.43
0	0	1	0	0	2	0.37
0	1	1	1	0	1	0.36
0	0	1	0	0	2	0.22
0	0	1	1	0	2	0.22
0	0	1	0	0	2	0.37
0	0	0	0	0	2	0.25
0	1	1	1	1	2	0.21
0	0	1	0	0	2	0.37
0	0	1	0	0	2	0.24
0	0	1	0	0	2	0.23
0	0	1	0	0	2	0.12
0	0	1	0	0	2	0.37
0	1	0	1	0	1	0.25
0	0	1	0	0	2	0.2
0	1	1	1	0	3	0.37
0	0	1	0	0	2	0.27
0	0	1	0	0	2	0.28
0	0	1	1	0	1	0.3
0	1	1	1	0	1	0.38
0	0	1	0	0	2	0.32
0	0	1	0	0	2	0.33
0	1	1	0	0	2	0.22
0	0	1	0	0	2	0.25
0	1	1	1	0	1	0.22
0	1	1	1	0	1	0.39
0	0	1	0	0	2	0.37
0	1	1	0	1	4	0.35
0	1	1	1	0	1	0.46
0	0	1	1	0	2	0.25
0	1	1	1	0	1	0.38
0	1	1	1	0	2	0.21
0	0	1	1	0	1	0.26
0	1	1	1	0	1	0.27
0	1	1	1	0	1	0.39
0	1	1	1	0	1	0.31
0	0	1	1	0	2	0.38
0	0	1	1	0	2	0.32
0	1	1	1	0	1	0.29
0	0	1	0	0	2	0.24
0	1	1	1	0	1	0.42
0	0	1	0	0	2	0.28
0	0	1	1	0	2	0.31
0	0	1	1	0	1	0.22
0	1	1	1	0	2	0.5
0	1	1	1	0	1	0.28
0	0	0	0	0	2	0.31
0	0	0	0	0	2	0.37
0	1	1	0	1	2	0.35
0	0	1	0	0	2	0.41
0	0	1	0	0	2	0.37
0	1	1	0	0	2	0.37
0	0	1	0	0	2	0.25
0	0	1	0	0	2	0.25
0	0	0	0	0	2	0.19
0	0	0	0	0	2	0.2
0	0	0	0	0	2	0.23
0	0	0	0	0	2	0.37
0	0	1	0	0	2	0.27
0	0	1	0	1	2	0.29
0	0	1	0	0	2	0.25
0	0	1	0	0	2	0.32
0	0	1	0	0	2	0.27
0	1	1	0	1	2	0.27
0	1	1	0	0	2	0.31
0	1	1	1	0	3	0.25
0	1	1	1	0	1	0.21
0	1	1	1	0	1	0.43
0	1	0	0	1	4	0.19
0	0	1	0	0	2	0.27
0	0	0	0	0	2	0.38
0	0	1	1	0	1	0.3
0	0	1	0	0	2	0.37
0	0	1	0	0	2	0.27
0	1	1	0	1	1	0.58
0	0	1	0	0	2	0.25
0	0	1	0	0	2	0.21
0	0	1	0	0	2	0.24
0	0	1	0	0	2	0.22
0	1	0	1	0	1	0.25
0	1	1	1	0	2	0.38
0	0	2	0	0	2	0.35
0	0	1	0	0	2	0.28
0	0	1	0	0	2	0.31
0	0	0	0	0	2	0.2
0	0	1	0	0	2	0.35
0	0	1	0	0	2	0.25
0	0	1	0	0	2	0.33
0	0	1	0	0	2	0.25
0	0	1	0	0	2	0.29
0	0	1	0	0	2	0.27
0	0	1	0	0	3	0.21
0	1	1	0	1	2	0.29
0	1	0	0	1	3	0.21
0	0	0	0	0	2	0.37
0	0	1	0	0	3	0.22
0	0	0	0	0	2	0.25
0	0	1	0	0	2	0.19
0	0	1	0	0	2	0.34
0	0	0	0	0	2	0.38
0	0	0	0	0	2	0.23
0	0	1	0	0	2	0.33
0	0	1	0	0	2	0.37
0	0	0	0	0	2	0.23
0	1	0	1	0	3	0.23
0	1	1	0	0	2	0.27
0	0	1	0	0	2	0.24
0	0	1	0	0	2	0.25
0	0	1	0	0	2	0.22
0	0	1	0	0	2	0.2
0	0	1	0	0	3	0.16
0	0	1	0	0	2	0.22
0	0	1	0	0	2	0.22
0	0	1	0	0	2	0.27
0	0	0	0	0	2	0.35
0	0	1	0	0	2	0.37
0	0	0	0	0	2	0.33
0	0	1	0	0	2	0.29
0	0	1	0	0	3	4.37
0	0	0	0	0	2	0.23
0	0	1	0	0	2	0.23
0	1	1	1	0	1	0.45
0	0	1	0	0	2	0.23
0	0	1	0	0	2	0.2
0	0	0	1	0	2	0.29
0	1	1	1	0	3	0.28
0	0	1	0	0	3	0.37
0	0	1	0	0	2	0.21
0	0	1	0	0	2	0.17
0	1	1	1	0	1	0.32
0	0	0	1	0	2	0.25
0	0	1	1	0	2	0.33
0	0	1	0	0	2	0.2
0	0	1	1	0	2	0.25
0	0	1	0	0	2	0.26
0	0	1	1	0	2	0.37
0	1	1	1	0	2	0.31
0	1	1	0	1	3	0.37
0	0	1	0	0	2	0.22
0	0	1	1	0	3	0.28
0	1	1	1	0	2	0.56
0	0	1	0	0	2	0.21
0	1	1	1	0	1	0.37
0	1	1	1	0	3	0.38
0	1	1	1	0	1	0.45
0	1	1	0	0	2	0.33
0	0	1	0	0	2	0.19
0	1	1	0	0	2	0.23
0	1	1	1	0	1	0.54
0	0	1	1	0	2	0.36
0	0	1	0	0	2	0.3
0	0	1	0	0	2	0.33
0	0	1	1	0	2	0.29
0	0	1	0	0	2	0.24
0	1	1	1	0	1	0.32
0	1	1	1	0	1	0.34
0	1	1	1	0	2	0.27
0	0	1	0	0	2	0.28
0	0	1	1	0	2	0.22
0	0	1	0	0	2	0.24
0	0	1	0	0	2	0.19
0	0	1	0	0	2	0.27
0	1	1	1	0	3	0.37
0	0	1	0	0	2	0.37
0	1	1	1	0	3	0.32
0	0	1	0	0	2	0.27
0	0	1	0	0	2	0.37
0	1	1	1	0	1	0.44
0	0	0	0	0	2	0.27
0	1	1	1	1	1	0.3
0	0	1	0	0	2	0.37
0	1	1	1	1	3	0.3
0	1	1	1	0	1	0.43
0	0	1	0	0	2	0.19
0	0	1	0	0	2	0.37
0	0	1	1	0	2	0.23
0	1	1	1	0	1	0.38
0	0	1	0	0	2	0.24
0	1	1	0	0	3	0.35
0	0	1	0	0	2	0.2
0	1	1	1	0	1	0.31
0	0	0	1	0	2	0.35
0	0	0	1	0	2	0.29
0	0	1	0	0	2	0.23
0	1	1	1	0	1	0.2
0	1	1	1	0	1	0.36
0	0	1	0	0	2	0.28
0	0	1	0	0	2	0.34
0	0	1	1	0	2	0.22
0	0	1	0	0	2	0.21
0	0	1	1	0	2	0.32
0	0	1	0	0	2	0.37
0	0	1	0	0	2	0.25
0	0	0	1	0	2	0.26
0	0	0	0	0	2	0.21
0	1	1	1	0	3	0.19
0	1	1	1	0	1	0.49
0	1	1	1	1	2	0.73
0	0	1	0	0	2	0.29
0	1	1	1	0	1	0.22
0	1	1	1	0	1	0.22
0	1	1	1	0	2	0.29
0	1	1	1	0	1	0.35
0	1	1	1	0	1	0.38
0	1	1	1	0	1	0.35
0	1	1	1	0	1	0.3
0	0	1	1	0	2	0.25
0	0	1	0	0	2	0.37
0	1	1	1	0	1	0.29
0	0	0	0	0	2	0.28
0	1	1	1	0	1	0.27
0	1	1	1	0	2	0.32
0	0	0	0	0	3	0.25
0	1	1	1	0	1	0.27
0	1	1	1	0	1	0.34
0	1	1	1	0	3	0.29
0	0	1	1	0	2	0.28
0	1	1	1	0	1	0.33
0	0	1	1	0	1	0.27
0	1	1	1	0	2	0.41
0	1	1	1	0	1	0.35
0	0	1	0	0	2	0.34
0	0	1	1	0	2	0.32
0	0	1	0	0	2	0.18
0	0	1	0	0	2	0.37
0	0	0	0	0	2	0.25
0	0	1	0	1	2	0.37
0	0	1	0	0	3	0.59
0	1	0	0	1	3	0.84
0	1	1	0	0	2	0.37
0	0	0	0	1	3	0.45
0	0	0	0	0	3	0.52
0	0	0	0	1	3	0.43
0	0	0	0	0	3	0.48
0	0	0	0	0	3	0.69
0	0	1	0	1	3	0.48
0	0	0	0	1	3	0.41
0	0	0	0	0	3	0.43
0	0	1	0	1	2	0.37
0	1	0	0	1	3	0.47
0	0	1	0	0	3	0.49
0	0	1	0	0	3	0.37
0	0	1	0	1	3	0.51
0	0	1	0	0	3	0.5
0	0	1	0	0	3	0.53
0	0	1	0	1	2	0.29
0	0	1	0	1	3	0.62
0	0	0	0	0	3	0.41
0	0	0	0	0	3	0.41
0	0	1	0	0	3	0.4
0	0	0	0	1	3	0.33
0	0	1	0	0	3	0.37
0	0	1	0	0	3	0.37
0	1	1	0	0	3	0.34
0	0	0	0	0	3	0.33
0	0	0	0	0	3	0.34
0	0	1	0	0	3	0.52
0	0	1	0	0	3	0.37
0	0	0	0	0	3	0.36
0	0	0	0	0	3	0.37
0	0	1	0	1	3	0.52
0	0	1	0	0	3	0.35
0	0	1	0	0	3	0.27
0	0	1	0	0	3	0.45
0	0	0	0	0	3	0.45
0	0	1	0	0	3	0.15
0	0	1	0	0	3	0.22
0	0	0	0	1	3	0.52
0	0	1	0	0	2	0.49
0	0	1	0	1	2	0.32
0	0	0	0	0	2	0.35
0	1	0	0	0	3	0.37
0	0	1	0	0	2	0.29
0	0	1	0	0	3	0.37
0	0	1	0	1	3	0.27
0	0	1	0	0	2	0.36
0	0	1	0	1	2	0.41
0	0	1	0	1	2	0.39
0	0	1	0	0	3	0.38
0	0	1	0	0	3	0.51
0	0	0	0	1	3	0.35
0	0	0	0	1	3	0.69
0	0	0	0	0	3	0.64
0	0	0	0	1	3	0.5
0	0	0	0	1	3	1.1
0	0	1	0	1	3	0.47
0	1	0	0	1	3	0.48
0	0	1	0	0	2	1.59
0	0	0	0	1	3	0.49
0	0	0	0	0	3	0.46
0	0	0	0	1	3	0.27
0	0	0	0	0	3	0.42
0	0	1	0	1	3	0.55
0	0	1	0	1	3	0.43
0	0	1	0	1	3	0.39
0	1	1	0	0	2	0.36
0	0	1	0	0	3	0.34
0	0	1	0	0	3	0.55
0	0	1	0	0	3	0.36
0	0	0	0	0	3	0.44
0	0	1	0	0	3	0.33
0	0	0	0	0	3	0.51
0	0	1	0	0	3	0.51
0	0	0	0	0	3	0.34
0	0	0	0	0	2	0.28
0	1	1	0	0	2	0.3
0	0	1	0	0	3	0.42
0	0	1	0	1	2	0.37
0	0	1	0	0	3	0.24
0	0	1	0	0	3	0.3
0	0	1	0	0	3	0.23
0	0	1	0	0	3	0.31
0	0	1	0	0	2	0.49
0	0	1	0	0	3	0.3
0	0	1	0	0	2	0.47
0	0	1	0	0	2	0.31
0	0	0	0	0	2	0.37
0	0	1	0	0	2	0.3
0	0	1	0	0	2	0.32
0	0	1	0	0	2	0.23
0	0	0	0	0	3	0.17
0	0	0	0	0	2	0.6
0	1	1	0	0	2	0.28
0	1	1	1	0	2	0.56
0	0	1	1	0	2	0.32
0	0	1	0	0	3	0.41
0	0	1	0	0	2	0.18
0	1	1	1	0	2	0.38
0	1	0	0	0	2	0.73
0	1	1	1	0	1	0.32
0	0	1	1	0	2	0.21
0	0	1	1	0	2	0.18
0	1	1	1	0	1	0.24
0	1	1	1	0	1	0.51
0	1	1	1	0	3	0.45
0	1	1	1	0	1	0.56
0	1	1	1	0	1	0.56
0	0	1	1	0	2	0.24
0	0	0	0	0	2	0.25
0	0	0	0	0	2	0.24
0	0	1	1	0	2	0.25
0	1	0	1	0	2	0.51
0	1	1	1	0	1	0.3
0	0	0	1	0	2	0.22
0	1	1	0	0	2	0.23
0	0	1	1	0	2	0.32
0	0	1	0	0	2	0.37
0	1	1	1	0	1	0.29
0	0	1	0	0	2	0.16
0	0	1	0	1	2	0.42
0	1	1	0	0	3	0.62
0	0	1	0	0	3	0.49
0	0	0	0	1	3	0.61
0	0	0	0	0	3	0.71
0	0	1	0	0	3	0.54
0	0	1	0	1	3	0.49
0	0	1	0	1	2	0.36
0	0	0	0	1	3	0.4
0	0	0	0	1	3	0.3
0	0	1	0	0	3	0.46
0	0	1	0	0	3	0.31
0	0	1	0	0	3	0.37
0	1	1	1	0	1	0.24
0	1	1	0	1	3	0.69
0	0	1	0	0	3	0.25
0	0	0	0	0	3	0.43
0	0	1	1	0	1	1.63
1	1	1	1	0	2	0.75
1	1	1	0	1	1	0.78
1	1	1	1	0	1	0.42
1	0	1	1	0	2	0.36
1	1	1	0	0	2	0.24
1	0	1	0	0	2	0.3
1	1	1	1	1	1	3.87
1	1	1	0	0	1	0.2
1	1	1	0	0	2	0.46
1	1	1	1	0	1	0.67
1	0	1	0	0	2	0.3
1	0	1	0	0	2	2.34
1	0	1	0	0	2	0.24
1	0	1	1	0	1	0.24
1	1	1	1	0	3	0.28
1	1	1	1	1	2	2.5
1	1	1	1	0	2	0.22
1	1	1	1	0	2	0.36
1	0	1	0	0	2	0.25
1	0	1	0	0	2	0.39
1	0	1	0	0	1	0.27
1	0	1	1	0	2	0.21
1	1	1	1	0	1	0.47
1	1	1	0	1	2	2.94
1	0	1	1	0	3	0.32
1	1	1	1	0	1	0.65

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 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 & 7 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]7 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=&T=0

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

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Coefficients of Bias-Reduced Logistic Regression
Variable	Parameter	S.E.	t-stat	2-sided p-value
(Intercept)	-4.22935082728879	1.31657659722701	-3.21238493544296	0.00140937048730327
sex	0.771179327726226	0.539986514586277	1.42814553122143	0.153933003813498
etnicity	1.53399293815072	0.883682394852196	1.73590981000282	0.0832537785309915
`3m`	0.0410481378802631	0.573743474653881	0.0715444091194693	0.942995780389114
`under-uro`	0.0297101451993768	0.712734859564125	0.0416847089779586	0.96676824914223
`body-site`	-0.395209388509979	0.388537037606988	-1.01717301121172	0.309609323890076
creatinine	1.15165187915446	0.371069142587653	3.10360454960874	0.00203040054896864

\begin{tabular}{lllllllll}
\hline
Coefficients of Bias-Reduced Logistic Regression \tabularnewline
Variable & Parameter & S.E. & t-stat & 2-sided p-value \tabularnewline
(Intercept) & -4.22935082728879 & 1.31657659722701 & -3.21238493544296 & 0.00140937048730327 \tabularnewline
sex & 0.771179327726226 & 0.539986514586277 & 1.42814553122143 & 0.153933003813498 \tabularnewline
etnicity & 1.53399293815072 & 0.883682394852196 & 1.73590981000282 & 0.0832537785309915 \tabularnewline
`3m` & 0.0410481378802631 & 0.573743474653881 & 0.0715444091194693 & 0.942995780389114 \tabularnewline
`under-uro` & 0.0297101451993768 & 0.712734859564125 & 0.0416847089779586 & 0.96676824914223 \tabularnewline
`body-site` & -0.395209388509979 & 0.388537037606988 & -1.01717301121172 & 0.309609323890076 \tabularnewline
creatinine & 1.15165187915446 & 0.371069142587653 & 3.10360454960874 & 0.00203040054896864 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Coefficients of Bias-Reduced Logistic Regression[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.E.[/C][C]t-stat[/C][C]2-sided p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]-4.22935082728879[/C][C]1.31657659722701[/C][C]-3.21238493544296[/C][C]0.00140937048730327[/C][/ROW]
[ROW][C]sex[/C][C]0.771179327726226[/C][C]0.539986514586277[/C][C]1.42814553122143[/C][C]0.153933003813498[/C][/ROW]
[ROW][C]etnicity[/C][C]1.53399293815072[/C][C]0.883682394852196[/C][C]1.73590981000282[/C][C]0.0832537785309915[/C][/ROW]
[ROW][C]`3m`[/C][C]0.0410481378802631[/C][C]0.573743474653881[/C][C]0.0715444091194693[/C][C]0.942995780389114[/C][/ROW]
[ROW][C]`under-uro`[/C][C]0.0297101451993768[/C][C]0.712734859564125[/C][C]0.0416847089779586[/C][C]0.96676824914223[/C][/ROW]
[ROW][C]`body-site`[/C][C]-0.395209388509979[/C][C]0.388537037606988[/C][C]-1.01717301121172[/C][C]0.309609323890076[/C][/ROW]
[ROW][C]creatinine[/C][C]1.15165187915446[/C][C]0.371069142587653[/C][C]3.10360454960874[/C][C]0.00203040054896864[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a QR Code:

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

Coefficients of Bias-Reduced Logistic Regression
Variable	Parameter	S.E.	t-stat	2-sided p-value
(Intercept)	-4.22935082728879	1.31657659722701	-3.21238493544296	0.00140937048730327
sex	0.771179327726226	0.539986514586277	1.42814553122143	0.153933003813498
etnicity	1.53399293815072	0.883682394852196	1.73590981000282	0.0832537785309915
`3m`	0.0410481378802631	0.573743474653881	0.0715444091194693	0.942995780389114
`under-uro`	0.0297101451993768	0.712734859564125	0.0416847089779586	0.96676824914223
`body-site`	-0.395209388509979	0.388537037606988	-1.01717301121172	0.309609323890076
creatinine	1.15165187915446	0.371069142587653	3.10360454960874	0.00203040054896864

Summary of Bias-Reduced Logistic Regression
Deviance	169.748868914864
Penalized deviance	158.536817399392
Residual Degrees of Freedom	457
ROC Area	0.77915349490692
Hosmer–Lemeshow test
Chi-square	4.13674020188381
Degrees of Freedom	8
P(>Chi)	0.8445802489261

\begin{tabular}{lllllllll}
\hline
Summary of Bias-Reduced Logistic Regression \tabularnewline
Deviance & 169.748868914864 \tabularnewline
Penalized deviance & 158.536817399392 \tabularnewline
Residual Degrees of Freedom & 457 \tabularnewline
ROC Area & 0.77915349490692 \tabularnewline
Hosmer–Lemeshow test \tabularnewline
Chi-square & 4.13674020188381 \tabularnewline
Degrees of Freedom & 8 \tabularnewline
P(>Chi) & 0.8445802489261 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=2

[TABLE]
[ROW][C]Summary of Bias-Reduced Logistic Regression[/C][/ROW]
[ROW][C]Deviance[/C][C]169.748868914864[/C][/ROW]
[ROW][C]Penalized deviance[/C][C]158.536817399392[/C][/ROW]
[ROW][C]Residual Degrees of Freedom[/C][C]457[/C][/ROW]
[ROW][C]ROC Area[/C][C]0.77915349490692[/C][/ROW]
[ROW][C]Hosmer–Lemeshow test[/C][/ROW]
[ROW][C]Chi-square[/C][C]4.13674020188381[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]8[/C][/ROW]
[ROW][C]P(>Chi)[/C][C]0.8445802489261[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

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

As an alternative you can also use a QR Code:

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

Summary of Bias-Reduced Logistic Regression
Deviance	169.748868914864
Penalized deviance	158.536817399392
Residual Degrees of Freedom	457
ROC Area	0.77915349490692
Hosmer–Lemeshow test
Chi-square	4.13674020188381
Degrees of Freedom	8
P(>Chi)	0.8445802489261

Fit of Logistic Regression
Index	Actual	Fitted	Error
1	0	0.0383868703699226	-0.0383868703699226
2	0	0.0302706860850248	-0.0302706860850248
3	0	0.0465918555510592	-0.0465918555510592
4	0	0.00935210680705014	-0.00935210680705014
5	0	0.0213004392181517	-0.0213004392181517
6	0	0.059434514215762	-0.059434514215762
7	0	0.0448020169758923	-0.0448020169758923
8	0	0.12391391284354	-0.12391391284354
9	0	0.0405698575735224	-0.0405698575735224
10	0	0.0106017713264318	-0.0106017713264318
11	0	0.0465918555510592	-0.0465918555510592
12	0	0.0355193426700751	-0.0355193426700751
13	0	0.0134955808210564	-0.0134955808210564
14	0	0.0379640101164571	-0.0379640101164571
15	0	0.0828946876785912	-0.0828946876785912
16	0	0.0126211443167961	-0.0126211443167961
17	0	0.409918632972152	-0.409918632972152
18	0	0.117796948498729	-0.117796948498729
19	0	0.043138905492573	-0.043138905492573
20	0	0.0452974558123534	-0.0452974558123534
21	0	0.0410205053213048	-0.0410205053213048
22	0	0.00914110774485202	-0.00914110774485202
23	0	0.00978868302708173	-0.00978868302708173
24	0	0.0347386698058196	-0.0347386698058196
25	0	0.0440997300249802	-0.0440997300249802
26	0	0.0371316749648551	-0.0371316749648551
27	0	0.0388142506017327	-0.0388142506017327
28	0	0.0388142506017327	-0.0388142506017327
29	0	0.0448020169758923	-0.0448020169758923
30	0	0.0448020169758923	-0.0448020169758923
31	0	0.0457981107261285	-0.0457981107261285
32	0	0.0820233606836075	-0.0820233606836075
33	0	0.0811603819127145	-0.0811603819127145
34	0	0.0448020169758923	-0.0448020169758923
35	0	0.0373647183599424	-0.0373647183599424
36	0	0.0424013694200799	-0.0424013694200799
37	0	0.0417422096709513	-0.0417422096709513
38	0	0.0388142506017327	-0.0388142506017327
39	0	0.0465918555510592	-0.0465918555510592
40	0	0.0855593895114748	-0.0855593895114748
41	0	0.0412839746658676	-0.0412839746658676
42	0	0.0401239534613601	-0.0401239534613601
43	0	0.0396827475835899	-0.0396827475835899
44	0	0.0383868703699226	-0.0383868703699226
45	0	0.0438265928726662	-0.0438265928726662
46	0	0.043138905492573	-0.043138905492573
47	0	0.141102557184442	-0.141102557184442
48	0	0.067886692314216	-0.067886692314216
49	0	0.0405698575735224	-0.0405698575735224
50	0	0.0448020169758923	-0.0448020169758923
51	0	0.0388142506017327	-0.0388142506017327
52	0	0.0375456261130405	-0.0375456261130405
53	0	0.0448020169758923	-0.0448020169758923
54	0	0.0428714524287517	-0.0428714524287517
55	0	0.0369526851913638	-0.0369526851913638
56	0	0.0443117454678391	-0.0443117454678391
57	0	0.109673985084932	-0.109673985084932
58	0	0.00843908752697637	-0.00843908752697637
59	0	0.118999032526061	-0.118999032526061
60	0	0.0100144786326795	-0.0100144786326795
61	0	0.0289473152838999	-0.0289473152838999
62	0	0.0351269165092361	-0.0351269165092361
63	0	0.0367221136100573	-0.0367221136100573
64	0	0.0371316749648551	-0.0371316749648551
65	0	0.127713580378761	-0.127713580378761
66	0	0.0388142506017327	-0.0388142506017327
67	0	0.0744845382027508	-0.0744845382027508
68	0	0.141102557184442	-0.141102557184442
69	0	0.0438265928726662	-0.0438265928726662
70	0	0.0455793227474351	-0.0455793227474351
71	0	0.0347386698058196	-0.0347386698058196
72	0	0.143917133744101	-0.143917133744101
73	0	0.0448020169758923	-0.0448020169758923
74	0	0.134267122818021	-0.134267122818021
75	0	0.0379640101164571	-0.0379640101164571
76	0	0.0394919649715938	-0.0394919649715938
77	0	0.0448020169758923	-0.0448020169758923
78	0	0.00873315872191022	-0.00873315872191022
79	0	0.0830209103707864	-0.0830209103707864
80	0	0.0448020169758923	-0.0448020169758923
81	0	0.0388142506017327	-0.0388142506017327
82	0	0.0383868703699226	-0.0383868703699226
83	0	0.0339745507891732	-0.0339745507891732
84	0	0.0448020169758923	-0.0448020169758923
85	0	0.0286253434360695	-0.0286253434360695
86	0	0.0371316749648551	-0.0371316749648551
87	0	0.066443632109942	-0.066443632109942
88	0	0.0401239534613601	-0.0401239534613601
89	0	0.0405698575735224	-0.0405698575735224
90	0	0.0627363511115565	-0.0627363511115565
91	0	0.136967095770335	-0.136967095770335
92	0	0.0424013694200799	-0.0424013694200799
93	0	0.0428714524287517	-0.0428714524287517
94	0	0.0786209055746527	-0.0786209055746527
95	0	0.0392461948741092	-0.0392461948741092
96	0	0.116605400283021	-0.116605400283021
97	0	0.138334130471513	-0.138334130471513
98	0	0.0448020169758923	-0.0448020169758923
99	0	0.0442674778363729	-0.0442674778363729
100	0	0.148226397669103	-0.148226397669103
101	0	0.0408235645836218	-0.0408235645836218
102	0	0.136967095770335	-0.136967095770335
103	0	0.0807869629993368	-0.0807869629993368
104	0	0.0600815872112826	-0.0600815872112826
105	0	0.122669093465936	-0.122669093465936
106	0	0.138334130471513	-0.138334130471513
107	0	0.127713580378761	-0.127713580378761
108	0	0.0471061110561313	-0.0471061110561313
109	0	0.0440997300249802	-0.0440997300249802
110	0	0.125169562137583	-0.125169562137583
111	0	0.0388142506017327	-0.0388142506017327
112	0	0.142504051569337	-0.142504051569337
113	0	0.0405698575735224	-0.0405698575735224
114	0	0.0436167927658597	-0.0436167927658597
115	0	0.0575322670657264	-0.0575322670657264
116	0	0.109318305194781	-0.109318305194781
117	0	0.12391391284354	-0.12391391284354
118	0	0.00935210680705014	-0.00935210680705014
119	0	0.0100144786326795	-0.0100144786326795
120	0	0.0926407762696427	-0.0926407762696427
121	0	0.0468152654444686	-0.0468152654444686
122	0	0.0448020169758923	-0.0448020169758923
123	0	0.0920810334368871	-0.0920810334368871
124	0	0.0392461948741092	-0.0392461948741092
125	0	0.0392461948741092	-0.0392461948741092
126	0	0.00815483711333145	-0.00815483711333145
127	0	0.00824851617900299	-0.00824851617900299
128	0	0.00853600383020244	-0.00853600383020244
129	0	0.0100144786326795	-0.0100144786326795
130	0	0.0401239534613601	-0.0401239534613601
131	0	0.0422053069853537	-0.0422053069853537
132	0	0.0392461948741092	-0.0392461948741092
133	0	0.0424013694200799	-0.0424013694200799
134	0	0.0401239534613601	-0.0401239534613601
135	0	0.0851815175313484	-0.0851815175313484
136	0	0.0864647413585049	-0.0864647413585049
137	0	0.0583680619055909	-0.0583680619055909
138	0	0.115424327951752	-0.115424327951752
139	0	0.143917133744101	-0.143917133744101
140	0	0.00823996524612134	-0.00823996524612134
141	0	0.0401239534613601	-0.0401239534613601
142	0	0.0101293022471183	-0.0101293022471183
143	0	0.0627363511115565	-0.0627363511115565
144	0	0.0448020169758923	-0.0448020169758923
145	0	0.0401239534613601	-0.0401239534613601
146	0	0.164967837031956	-0.164967837031956
147	0	0.0392461948741092	-0.0392461948741092
148	0	0.0375456261130405	-0.0375456261130405
149	0	0.0388142506017327	-0.0388142506017327
150	0	0.0379640101164571	-0.0379640101164571
151	0	0.0286253434360695	-0.0286253434360695
152	0	0.096570786082035	-0.096570786082035
153	0	0.175273302662598	-0.175273302662598
154	0	0.0405698575735224	-0.0405698575735224
155	0	0.0419362150050626	-0.0419362150050626
156	0	0.00824851617900299	-0.00824851617900299
157	0	0.0438265928726662	-0.0438265928726662
158	0	0.0392461948741092	-0.0392461948741092
159	0	0.0428714524287517	-0.0428714524287517
160	0	0.0392461948741092	-0.0392461948741092
161	0	0.0410205053213048	-0.0410205053213048
162	0	0.0401239534613601	-0.0401239534613601
163	0	0.025602254728555	-0.025602254728555
164	0	0.0869936150448269	-0.0869936150448269
165	0	0.0124655489834762	-0.0124655489834762
166	0	0.0100144786326795	-0.0100144786326795
167	0	0.0258911298314316	-0.0258911298314316
168	0	0.00873315872191022	-0.00873315872191022
169	0	0.0367221136100573	-0.0367221136100573
170	0	0.0433465111087393	-0.0433465111087393
171	0	0.0101293022471183	-0.0101293022471183
172	0	0.00853600383020244	-0.00853600383020244
173	0	0.0428714524287517	-0.0428714524287517
174	0	0.0448020169758923	-0.0448020169758923
175	0	0.00853600383020244	-0.00853600383020244
176	0	0.0128958297149726	-0.0128958297149726
177	0	0.0828946876785912	-0.0828946876785912
178	0	0.0388142506017327	-0.0388142506017327
179	0	0.0392461948741092	-0.0392461948741092
180	0	0.0379640101164571	-0.0379640101164571
181	0	0.0371316749648551	-0.0371316749648551
182	0	0.0242043279500739	-0.0242043279500739
183	0	0.0379640101164571	-0.0379640101164571
184	0	0.0379640101164571	-0.0379640101164571
185	0	0.0401239534613601	-0.0401239534613601
186	0	0.00978868302708173	-0.00978868302708173
187	0	0.0448020169758923	-0.0448020169758923
188	0	0.00956792921295334	-0.00956792921295334
189	0	0.0410205053213048	-0.0410205053213048
190	0	0.759827251552659	-0.759827251552659
191	0	0.00853600383020244	-0.00853600383020244
192	0	0.0383868703699226	-0.0383868703699226
193	0	0.146778258475119	-0.146778258475119
194	0	0.0383868703699226	-0.0383868703699226
195	0	0.0371316749648551	-0.0371316749648551
196	0	0.00952049414783409	-0.00952049414783409
197	0	0.0602961757958033	-0.0602961757958033
198	0	0.0306238127066861	-0.0306238127066861
199	0	0.0375456261130405	-0.0375456261130405
200	0	0.0359159896947192	-0.0359159896947192
201	0	0.129002063125147	-0.129002063125147
202	0	0.0090957693057597	-0.0090957693057597
203	0	0.0445877652059452	-0.0445877652059452
204	0	0.0371316749648551	-0.0371316749648551
205	0	0.0408235645836218	-0.0408235645836218
206	0	0.0396827475835899	-0.0396827475835899
207	0	0.0465918555510592	-0.0465918555510592
208	0	0.0897625933907207	-0.0897625933907207
209	0	0.0657437968179888	-0.0657437968179888
210	0	0.0379640101164571	-0.0379640101164571
211	0	0.0288190720485431	-0.0288190720485431
212	0	0.116230175951088	-0.116230175951088
213	0	0.0375456261130405	-0.0375456261130405
214	0	0.135611444155216	-0.135611444155216
215	0	0.0671615655743761	-0.0671615655743761
216	0	0.146778258475119	-0.146778258475119
217	0	0.0883015024145282	-0.0883015024145282
218	0	0.0367221136100573	-0.0367221136100573
219	0	0.0794592171763518	-0.0794592171763518
220	0	0.160239414391735	-0.160239414391735
221	0	0.046082942648444	-0.046082942648444
222	0	0.0414759424412039	-0.0414759424412039
223	0	0.0428714524287517	-0.0428714524287517
224	0	0.042666020603601	-0.042666020603601
225	0	0.0388142506017327	-0.0388142506017327
226	0	0.129002063125147	-0.129002063125147
227	0	0.131612256709715	-0.131612256709715
228	0	0.0860692031771478	-0.0860692031771478
229	0	0.0405698575735224	-0.0405698575735224
230	0	0.0394919649715938	-0.0394919649715938
231	0	0.0388142506017327	-0.0388142506017327
232	0	0.0367221136100573	-0.0367221136100573
233	0	0.0401239534613601	-0.0401239534613601
234	0	0.066443632109942	-0.066443632109942
235	0	0.0448020169758923	-0.0448020169758923
236	0	0.0629597863709855	-0.0629597863709855
237	0	0.0401239534613601	-0.0401239534613601
238	0	0.0448020169758923	-0.0448020169758923
239	0	0.145341853146334	-0.145341853146334
240	0	0.00893482623625537	-0.00893482623625537
241	0	0.129754166793108	-0.129754166793108
242	0	0.0448020169758923	-0.0448020169758923
243	0	0.0633548594419146	-0.0633548594419146
244	0	0.143917133744101	-0.143917133744101
245	0	0.0367221136100573	-0.0367221136100573
246	0	0.0448020169758923	-0.0448020169758923
247	0	0.0399311378667142	-0.0399311378667142
248	0	0.136967095770335	-0.136967095770335
249	0	0.0388142506017327	-0.0388142506017327
250	0	0.0625774841582016	-0.0625774841582016
251	0	0.0371316749648551	-0.0371316749648551
252	0	0.127713580378761	-0.127713580378761
253	0	0.0101946694350277	-0.0101946694350277
254	0	0.00952049414783409	-0.00952049414783409
255	0	0.0383868703699226	-0.0383868703699226
256	0	0.114253671249647	-0.114253671249647
257	0	0.134267122818021	-0.134267122818021
258	0	0.0405698575735224	-0.0405698575735224
259	0	0.0433465111087393	-0.0433465111087393
260	0	0.0394919649715938	-0.0394919649715938
261	0	0.0375456261130405	-0.0375456261130405
262	0	0.0440997300249802	-0.0440997300249802
263	0	0.0448020169758923	-0.0448020169758923
264	0	0.0392461948741092	-0.0392461948741092
265	0	0.00920015711104772	-0.00920015711104772
266	0	0.00834326233488132	-0.00834326233488132
267	0	0.054684174158261	-0.054684174158261
268	0	0.152641685956671	-0.152641685956671
269	0	0.141470092350207	-0.141470092350207
270	0	0.0410205053213048	-0.0410205053213048
271	0	0.116605400283021	-0.116605400283021
272	0	0.116605400283021	-0.116605400283021
273	0	0.0878983703169285	-0.0878983703169285
274	0	0.132934078339486	-0.132934078339486
275	0	0.136967095770335	-0.136967095770335
276	0	0.132934078339486	-0.132934078339486
277	0	0.126436098937384	-0.126436098937384
278	0	0.0408235645836218	-0.0408235645836218
279	0	0.0448020169758923	-0.0448020169758923
280	0	0.125169562137583	-0.125169562137583
281	0	0.00903738382058891	-0.00903738382058891
282	0	0.122669093465936	-0.122669093465936
283	0	0.0907080098478343	-0.0907080098478343
284	0	0.00589894102461113	-0.00589894102461113
285	0	0.122669093465936	-0.122669093465936
286	0	0.131612256709715	-0.131612256709715
287	0	0.0609520219122858	-0.0609520219122858
288	0	0.0421980908322391	-0.0421980908322391
289	0	0.130301603348454	-0.130301603348454
290	0	0.0607352500894143	-0.0607352500894143
291	0	0.0996273569783844	-0.0996273569783844
292	0	0.132934078339486	-0.132934078339486
293	0	0.0433465111087393	-0.0433465111087393
294	0	0.0440997300249802	-0.0440997300249802
295	0	0.0363168993192197	-0.0363168993192197
296	0	0.0448020169758923	-0.0448020169758923
297	0	0.00873315872191022	-0.00873315872191022
298	0	0.0460907911681932	-0.0460907911681932
299	0	0.0391088840118696	-0.0391088840118696
300	0	0.0254142630574988	-0.0254142630574988
301	0	0.0920810334368871	-0.0920810334368871
302	0	0.00763744419799405	-0.00763744419799405
303	0	0.00803309377153577	-0.00803309377153577
304	0	0.00746483926381421	-0.00746483926381421
305	0	0.00767421017745573	-0.00767421017745573
306	0	0.00975338903445974	-0.00975338903445974
307	0	0.0356232677169239	-0.0356232677169239
308	0	0.00729610649166021	-0.00729610649166021
309	0	0.00724790380510578	-0.00724790380510578
310	0	0.0460907911681932	-0.0460907911681932
311	0	0.0167442698686849	-0.0167442698686849
312	0	0.035003492704483	-0.035003492704483
313	0	0.0306238127066861	-0.0306238127066861
314	0	0.0368294234290631	-0.0368294234290631
315	0	0.035394590596413	-0.035394590596413
316	0	0.0365932974070981	-0.0365932974070981
317	0	0.0422053069853537	-0.0422053069853537
318	0	0.0415965440828727	-0.0415965440828727
319	0	0.00708403957261746	-0.00708403957261746
320	0	0.00708403957261746	-0.00708403957261746
321	0	0.0316662519303609	-0.0316662519303609
322	0	0.00665821262611236	-0.00665821262611236
323	0	0.0306238127066861	-0.0306238127066861
324	0	0.0306238127066861	-0.0306238127066861
325	0	0.0619053010089053	-0.0619053010089053
326	0	0.00646456584083927	-0.00646456584083927
327	0	0.00653895584894624	-0.00653895584894624
328	0	0.0361894511510765	-0.0361894511510765
329	0	0.0306238127066861	-0.0306238127066861
330	0	0.00669029645191284	-0.00669029645191284
331	0	0.00676726632793062	-0.00676726632793062
332	0	0.0372401353401337	-0.0372401353401337
333	0	0.0299473968168294	-0.0299473968168294
334	0	0.0273837443152592	-0.0273837443152592
335	0	0.0334803571487055	-0.0334803571487055
336	0	0.00741553014927954	-0.00741553014927954
337	0	0.0239338105914863	-0.0239338105914863
338	0	0.0258911298314316	-0.0258911298314316
339	0	0.00827333472911252	-0.00827333472911252
340	0	0.0511025057841238	-0.0511025057841238
341	0	0.0436242404765572	-0.0436242404765572
342	0	0.00978868302708173	-0.00978868302708173
343	0	0.0145187602043612	-0.0145187602043612
344	0	0.0410205053213048	-0.0410205053213048
345	0	0.0306238127066861	-0.0306238127066861
346	0	0.0281862499560374	-0.0281862499560374
347	0	0.0443117454678391	-0.0443117454678391
348	0	0.048159032860898	-0.048159032860898
349	0	0.0471141252279916	-0.0471141252279916
350	0	0.0309675463039048	-0.0309675463039048
351	0	0.0357898962014285	-0.0357898962014285
352	0	0.00681229443620001	-0.00681229443620001
353	0	0.0100445568835693	-0.0100445568835693
354	0	0.00921265547945228	-0.00921265547945228
355	0	0.00808647588282815	-0.00808647588282815
356	0	0.0160092190590574	-0.0160092190590574
357	0	0.0352297353074725	-0.0352297353074725
358	0	0.0169349357031212	-0.0169349357031212
359	0	0.160481454700685	-0.160481454700685
360	0	0.00799462228700433	-0.00799462228700433
361	0	0.00750078061882199	-0.00750078061882199
362	0	0.00621643506140311	-0.00621643506140311
363	0	0.00716550666879995	-0.00716550666879995
364	0	0.0384988505339483	-0.0384988505339483
365	0	0.0336970988428862	-0.0336970988428862
366	0	0.0322289109234714	-0.0322289109234714
367	0	0.0911227405546925	-0.0911227405546925
368	0	0.0296146406191599	-0.0296146406191599
369	0	0.0374140333405127	-0.0374140333405127
370	0	0.0302837752475448	-0.0302837752475448
371	0	0.00733124144084082	-0.00733124144084082
372	0	0.0292854701720907	-0.0292854701720907
373	0	0.00794184168370348	-0.00794184168370348
374	0	0.0357898962014285	-0.0357898962014285
375	0	0.00653895584894624	-0.00653895584894624
376	0	0.00903738382058891	-0.00903738382058891
377	0	0.0855593895114748	-0.0855593895114748
378	0	0.0323801953385274	-0.0323801953385274
379	0	0.0460907911681932	-0.0460907911681932
380	0	0.0264784284219083	-0.0264784284219083
381	0	0.0283191131751629	-0.0283191131751629
382	0	0.0261831767822952	-0.0261831767822952
383	0	0.0286377421564163	-0.0286377421564163
384	0	0.0511025057841238	-0.0511025057841238
385	0	0.0283191131751629	-0.0283191131751629
386	0	0.0499970881503519	-0.0499970881503519
387	0	0.0419362150050626	-0.0419362150050626
388	0	0.0100144786326795	-0.0100144786326795
389	0	0.0414759424412039	-0.0414759424412039
390	0	0.0424013694200799	-0.0424013694200799
391	0	0.0383868703699226	-0.0383868703699226
392	0	0.00538253810398206	-0.00538253810398206
393	0	0.0130120949832906	-0.0130120949832906
394	0	0.0837744260000068	-0.0837744260000068
395	0	0.116230175951088	-0.116230175951088
396	0	0.0440997300249802	-0.0440997300249802
397	0	0.0320212997618863	-0.0320212997618863
398	0	0.0363168993192197	-0.0363168993192197
399	0	0.096570786082035	-0.096570786082035
400	0	0.0320499641650744	-0.0320499641650744
401	0	0.129002063125147	-0.129002063125147
402	0	0.0390574257134892	-0.0390574257134892
403	0	0.0377811655800942	-0.0377811655800942
404	0	0.118999032526061	-0.118999032526061
405	0	0.155644723438722	-0.155644723438722
406	0	0.0723918784735499	-0.0723918784735499
407	0	0.163363110208379	-0.163363110208379
408	0	0.163363110208379	-0.163363110208379
409	0	0.0403749893189945	-0.0403749893189945
410	0	0.00873315872191022	-0.00873315872191022
411	0	0.00863402344965713	-0.00863402344965713
412	0	0.0408235645836218	-0.0408235645836218
413	0	0.0260790030078618	-0.0260790030078618
414	0	0.126436098937384	-0.126436098937384
415	0	0.00878959621164215	-0.00878959621164215
416	0	0.0794592171763518	-0.0794592171763518
417	0	0.0440997300249802	-0.0440997300249802
418	0	0.0448020169758923	-0.0448020169758923
419	0	0.125169562137583	-0.125169562137583
420	0	0.0355193426700751	-0.0355193426700751
421	0	0.0486897026393876	-0.0486897026393876
422	0	0.0834948631079662	-0.0834948631079662
423	0	0.035003492704483	-0.035003492704483
424	0	0.00916858714069405	-0.00916858714069405
425	0	0.00997837871730505	-0.00997837871730505
426	0	0.0370014772621558	-0.0370014772621558
427	0	0.0360210319366378	-0.0360210319366378
428	0	0.0455870895932524	-0.0455870895932524
429	0	0.00721316534907428	-0.00721316534907428
430	0	0.00643355751207628	-0.00643355751207628
431	0	0.0338550339280188	-0.0338550339280188
432	0	0.0286377421564163	-0.0286377421564163
433	0	0.0306238127066861	-0.0306238127066861
434	0	0.118999032526061	-0.118999032526061
435	0	0.0923346073351675	-0.0923346073351675
436	0	0.0267769178860169	-0.0267769178860169
437	0	0.00724790380510578	-0.00724790380510578
438	0	0.236434702087479	-0.236434702087479
439	1	0.140661055323076	0.859338944676924
440	1	0.199186049420885	0.800813950579115
441	1	0.142504051569337	0.857495948430663
442	1	0.046082942648444	0.953917057351556
443	1	0.0803056883703308	0.919694311629669
444	1	0.0414759424412039	0.958524057558796
445	1	0.900989090249921	0.099010909750079
446	1	0.110164925132899	0.889835074867101
447	1	0.101120376259109	0.898879623740891
448	1	0.181423459284468	0.818576540715532
449	1	0.0414759424412039	0.958524057558796
450	1	0.311973035804963	0.688026964195037
451	1	0.0388142506017327	0.961185749398267
452	1	0.058793974214005	0.941206025785995
453	1	0.0602961757958033	0.939703824204197
454	1	0.558552777843806	0.441447222156194
455	1	0.0816463240217519	0.918353675978248
456	1	0.0945798598308007	0.905420140169199
457	1	0.0392461948741092	0.960753805125891
458	1	0.0457981107261285	0.954201889273872
459	1	0.0584353900306166	0.941564609969383
460	1	0.0390574257134892	0.960942574286511
461	1	0.14968631788439	0.85031368211561
462	1	0.668402650387784	0.331597349612216
463	1	0.0301367619679425	0.969863238032058
464	1	0.178027912101922	0.821972087898078

\begin{tabular}{lllllllll}
\hline
Fit of Logistic Regression \tabularnewline
Index & Actual & Fitted & Error \tabularnewline
1 & 0 & 0.0383868703699226 & -0.0383868703699226 \tabularnewline
2 & 0 & 0.0302706860850248 & -0.0302706860850248 \tabularnewline
3 & 0 & 0.0465918555510592 & -0.0465918555510592 \tabularnewline
4 & 0 & 0.00935210680705014 & -0.00935210680705014 \tabularnewline
5 & 0 & 0.0213004392181517 & -0.0213004392181517 \tabularnewline
6 & 0 & 0.059434514215762 & -0.059434514215762 \tabularnewline
7 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
8 & 0 & 0.12391391284354 & -0.12391391284354 \tabularnewline
9 & 0 & 0.0405698575735224 & -0.0405698575735224 \tabularnewline
10 & 0 & 0.0106017713264318 & -0.0106017713264318 \tabularnewline
11 & 0 & 0.0465918555510592 & -0.0465918555510592 \tabularnewline
12 & 0 & 0.0355193426700751 & -0.0355193426700751 \tabularnewline
13 & 0 & 0.0134955808210564 & -0.0134955808210564 \tabularnewline
14 & 0 & 0.0379640101164571 & -0.0379640101164571 \tabularnewline
15 & 0 & 0.0828946876785912 & -0.0828946876785912 \tabularnewline
16 & 0 & 0.0126211443167961 & -0.0126211443167961 \tabularnewline
17 & 0 & 0.409918632972152 & -0.409918632972152 \tabularnewline
18 & 0 & 0.117796948498729 & -0.117796948498729 \tabularnewline
19 & 0 & 0.043138905492573 & -0.043138905492573 \tabularnewline
20 & 0 & 0.0452974558123534 & -0.0452974558123534 \tabularnewline
21 & 0 & 0.0410205053213048 & -0.0410205053213048 \tabularnewline
22 & 0 & 0.00914110774485202 & -0.00914110774485202 \tabularnewline
23 & 0 & 0.00978868302708173 & -0.00978868302708173 \tabularnewline
24 & 0 & 0.0347386698058196 & -0.0347386698058196 \tabularnewline
25 & 0 & 0.0440997300249802 & -0.0440997300249802 \tabularnewline
26 & 0 & 0.0371316749648551 & -0.0371316749648551 \tabularnewline
27 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
28 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
29 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
30 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
31 & 0 & 0.0457981107261285 & -0.0457981107261285 \tabularnewline
32 & 0 & 0.0820233606836075 & -0.0820233606836075 \tabularnewline
33 & 0 & 0.0811603819127145 & -0.0811603819127145 \tabularnewline
34 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
35 & 0 & 0.0373647183599424 & -0.0373647183599424 \tabularnewline
36 & 0 & 0.0424013694200799 & -0.0424013694200799 \tabularnewline
37 & 0 & 0.0417422096709513 & -0.0417422096709513 \tabularnewline
38 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
39 & 0 & 0.0465918555510592 & -0.0465918555510592 \tabularnewline
40 & 0 & 0.0855593895114748 & -0.0855593895114748 \tabularnewline
41 & 0 & 0.0412839746658676 & -0.0412839746658676 \tabularnewline
42 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
43 & 0 & 0.0396827475835899 & -0.0396827475835899 \tabularnewline
44 & 0 & 0.0383868703699226 & -0.0383868703699226 \tabularnewline
45 & 0 & 0.0438265928726662 & -0.0438265928726662 \tabularnewline
46 & 0 & 0.043138905492573 & -0.043138905492573 \tabularnewline
47 & 0 & 0.141102557184442 & -0.141102557184442 \tabularnewline
48 & 0 & 0.067886692314216 & -0.067886692314216 \tabularnewline
49 & 0 & 0.0405698575735224 & -0.0405698575735224 \tabularnewline
50 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
51 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
52 & 0 & 0.0375456261130405 & -0.0375456261130405 \tabularnewline
53 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
54 & 0 & 0.0428714524287517 & -0.0428714524287517 \tabularnewline
55 & 0 & 0.0369526851913638 & -0.0369526851913638 \tabularnewline
56 & 0 & 0.0443117454678391 & -0.0443117454678391 \tabularnewline
57 & 0 & 0.109673985084932 & -0.109673985084932 \tabularnewline
58 & 0 & 0.00843908752697637 & -0.00843908752697637 \tabularnewline
59 & 0 & 0.118999032526061 & -0.118999032526061 \tabularnewline
60 & 0 & 0.0100144786326795 & -0.0100144786326795 \tabularnewline
61 & 0 & 0.0289473152838999 & -0.0289473152838999 \tabularnewline
62 & 0 & 0.0351269165092361 & -0.0351269165092361 \tabularnewline
63 & 0 & 0.0367221136100573 & -0.0367221136100573 \tabularnewline
64 & 0 & 0.0371316749648551 & -0.0371316749648551 \tabularnewline
65 & 0 & 0.127713580378761 & -0.127713580378761 \tabularnewline
66 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
67 & 0 & 0.0744845382027508 & -0.0744845382027508 \tabularnewline
68 & 0 & 0.141102557184442 & -0.141102557184442 \tabularnewline
69 & 0 & 0.0438265928726662 & -0.0438265928726662 \tabularnewline
70 & 0 & 0.0455793227474351 & -0.0455793227474351 \tabularnewline
71 & 0 & 0.0347386698058196 & -0.0347386698058196 \tabularnewline
72 & 0 & 0.143917133744101 & -0.143917133744101 \tabularnewline
73 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
74 & 0 & 0.134267122818021 & -0.134267122818021 \tabularnewline
75 & 0 & 0.0379640101164571 & -0.0379640101164571 \tabularnewline
76 & 0 & 0.0394919649715938 & -0.0394919649715938 \tabularnewline
77 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
78 & 0 & 0.00873315872191022 & -0.00873315872191022 \tabularnewline
79 & 0 & 0.0830209103707864 & -0.0830209103707864 \tabularnewline
80 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
81 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
82 & 0 & 0.0383868703699226 & -0.0383868703699226 \tabularnewline
83 & 0 & 0.0339745507891732 & -0.0339745507891732 \tabularnewline
84 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
85 & 0 & 0.0286253434360695 & -0.0286253434360695 \tabularnewline
86 & 0 & 0.0371316749648551 & -0.0371316749648551 \tabularnewline
87 & 0 & 0.066443632109942 & -0.066443632109942 \tabularnewline
88 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
89 & 0 & 0.0405698575735224 & -0.0405698575735224 \tabularnewline
90 & 0 & 0.0627363511115565 & -0.0627363511115565 \tabularnewline
91 & 0 & 0.136967095770335 & -0.136967095770335 \tabularnewline
92 & 0 & 0.0424013694200799 & -0.0424013694200799 \tabularnewline
93 & 0 & 0.0428714524287517 & -0.0428714524287517 \tabularnewline
94 & 0 & 0.0786209055746527 & -0.0786209055746527 \tabularnewline
95 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
96 & 0 & 0.116605400283021 & -0.116605400283021 \tabularnewline
97 & 0 & 0.138334130471513 & -0.138334130471513 \tabularnewline
98 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
99 & 0 & 0.0442674778363729 & -0.0442674778363729 \tabularnewline
100 & 0 & 0.148226397669103 & -0.148226397669103 \tabularnewline
101 & 0 & 0.0408235645836218 & -0.0408235645836218 \tabularnewline
102 & 0 & 0.136967095770335 & -0.136967095770335 \tabularnewline
103 & 0 & 0.0807869629993368 & -0.0807869629993368 \tabularnewline
104 & 0 & 0.0600815872112826 & -0.0600815872112826 \tabularnewline
105 & 0 & 0.122669093465936 & -0.122669093465936 \tabularnewline
106 & 0 & 0.138334130471513 & -0.138334130471513 \tabularnewline
107 & 0 & 0.127713580378761 & -0.127713580378761 \tabularnewline
108 & 0 & 0.0471061110561313 & -0.0471061110561313 \tabularnewline
109 & 0 & 0.0440997300249802 & -0.0440997300249802 \tabularnewline
110 & 0 & 0.125169562137583 & -0.125169562137583 \tabularnewline
111 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
112 & 0 & 0.142504051569337 & -0.142504051569337 \tabularnewline
113 & 0 & 0.0405698575735224 & -0.0405698575735224 \tabularnewline
114 & 0 & 0.0436167927658597 & -0.0436167927658597 \tabularnewline
115 & 0 & 0.0575322670657264 & -0.0575322670657264 \tabularnewline
116 & 0 & 0.109318305194781 & -0.109318305194781 \tabularnewline
117 & 0 & 0.12391391284354 & -0.12391391284354 \tabularnewline
118 & 0 & 0.00935210680705014 & -0.00935210680705014 \tabularnewline
119 & 0 & 0.0100144786326795 & -0.0100144786326795 \tabularnewline
120 & 0 & 0.0926407762696427 & -0.0926407762696427 \tabularnewline
121 & 0 & 0.0468152654444686 & -0.0468152654444686 \tabularnewline
122 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
123 & 0 & 0.0920810334368871 & -0.0920810334368871 \tabularnewline
124 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
125 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
126 & 0 & 0.00815483711333145 & -0.00815483711333145 \tabularnewline
127 & 0 & 0.00824851617900299 & -0.00824851617900299 \tabularnewline
128 & 0 & 0.00853600383020244 & -0.00853600383020244 \tabularnewline
129 & 0 & 0.0100144786326795 & -0.0100144786326795 \tabularnewline
130 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
131 & 0 & 0.0422053069853537 & -0.0422053069853537 \tabularnewline
132 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
133 & 0 & 0.0424013694200799 & -0.0424013694200799 \tabularnewline
134 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
135 & 0 & 0.0851815175313484 & -0.0851815175313484 \tabularnewline
136 & 0 & 0.0864647413585049 & -0.0864647413585049 \tabularnewline
137 & 0 & 0.0583680619055909 & -0.0583680619055909 \tabularnewline
138 & 0 & 0.115424327951752 & -0.115424327951752 \tabularnewline
139 & 0 & 0.143917133744101 & -0.143917133744101 \tabularnewline
140 & 0 & 0.00823996524612134 & -0.00823996524612134 \tabularnewline
141 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
142 & 0 & 0.0101293022471183 & -0.0101293022471183 \tabularnewline
143 & 0 & 0.0627363511115565 & -0.0627363511115565 \tabularnewline
144 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
145 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
146 & 0 & 0.164967837031956 & -0.164967837031956 \tabularnewline
147 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
148 & 0 & 0.0375456261130405 & -0.0375456261130405 \tabularnewline
149 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
150 & 0 & 0.0379640101164571 & -0.0379640101164571 \tabularnewline
151 & 0 & 0.0286253434360695 & -0.0286253434360695 \tabularnewline
152 & 0 & 0.096570786082035 & -0.096570786082035 \tabularnewline
153 & 0 & 0.175273302662598 & -0.175273302662598 \tabularnewline
154 & 0 & 0.0405698575735224 & -0.0405698575735224 \tabularnewline
155 & 0 & 0.0419362150050626 & -0.0419362150050626 \tabularnewline
156 & 0 & 0.00824851617900299 & -0.00824851617900299 \tabularnewline
157 & 0 & 0.0438265928726662 & -0.0438265928726662 \tabularnewline
158 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
159 & 0 & 0.0428714524287517 & -0.0428714524287517 \tabularnewline
160 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
161 & 0 & 0.0410205053213048 & -0.0410205053213048 \tabularnewline
162 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
163 & 0 & 0.025602254728555 & -0.025602254728555 \tabularnewline
164 & 0 & 0.0869936150448269 & -0.0869936150448269 \tabularnewline
165 & 0 & 0.0124655489834762 & -0.0124655489834762 \tabularnewline
166 & 0 & 0.0100144786326795 & -0.0100144786326795 \tabularnewline
167 & 0 & 0.0258911298314316 & -0.0258911298314316 \tabularnewline
168 & 0 & 0.00873315872191022 & -0.00873315872191022 \tabularnewline
169 & 0 & 0.0367221136100573 & -0.0367221136100573 \tabularnewline
170 & 0 & 0.0433465111087393 & -0.0433465111087393 \tabularnewline
171 & 0 & 0.0101293022471183 & -0.0101293022471183 \tabularnewline
172 & 0 & 0.00853600383020244 & -0.00853600383020244 \tabularnewline
173 & 0 & 0.0428714524287517 & -0.0428714524287517 \tabularnewline
174 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
175 & 0 & 0.00853600383020244 & -0.00853600383020244 \tabularnewline
176 & 0 & 0.0128958297149726 & -0.0128958297149726 \tabularnewline
177 & 0 & 0.0828946876785912 & -0.0828946876785912 \tabularnewline
178 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
179 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
180 & 0 & 0.0379640101164571 & -0.0379640101164571 \tabularnewline
181 & 0 & 0.0371316749648551 & -0.0371316749648551 \tabularnewline
182 & 0 & 0.0242043279500739 & -0.0242043279500739 \tabularnewline
183 & 0 & 0.0379640101164571 & -0.0379640101164571 \tabularnewline
184 & 0 & 0.0379640101164571 & -0.0379640101164571 \tabularnewline
185 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
186 & 0 & 0.00978868302708173 & -0.00978868302708173 \tabularnewline
187 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
188 & 0 & 0.00956792921295334 & -0.00956792921295334 \tabularnewline
189 & 0 & 0.0410205053213048 & -0.0410205053213048 \tabularnewline
190 & 0 & 0.759827251552659 & -0.759827251552659 \tabularnewline
191 & 0 & 0.00853600383020244 & -0.00853600383020244 \tabularnewline
192 & 0 & 0.0383868703699226 & -0.0383868703699226 \tabularnewline
193 & 0 & 0.146778258475119 & -0.146778258475119 \tabularnewline
194 & 0 & 0.0383868703699226 & -0.0383868703699226 \tabularnewline
195 & 0 & 0.0371316749648551 & -0.0371316749648551 \tabularnewline
196 & 0 & 0.00952049414783409 & -0.00952049414783409 \tabularnewline
197 & 0 & 0.0602961757958033 & -0.0602961757958033 \tabularnewline
198 & 0 & 0.0306238127066861 & -0.0306238127066861 \tabularnewline
199 & 0 & 0.0375456261130405 & -0.0375456261130405 \tabularnewline
200 & 0 & 0.0359159896947192 & -0.0359159896947192 \tabularnewline
201 & 0 & 0.129002063125147 & -0.129002063125147 \tabularnewline
202 & 0 & 0.0090957693057597 & -0.0090957693057597 \tabularnewline
203 & 0 & 0.0445877652059452 & -0.0445877652059452 \tabularnewline
204 & 0 & 0.0371316749648551 & -0.0371316749648551 \tabularnewline
205 & 0 & 0.0408235645836218 & -0.0408235645836218 \tabularnewline
206 & 0 & 0.0396827475835899 & -0.0396827475835899 \tabularnewline
207 & 0 & 0.0465918555510592 & -0.0465918555510592 \tabularnewline
208 & 0 & 0.0897625933907207 & -0.0897625933907207 \tabularnewline
209 & 0 & 0.0657437968179888 & -0.0657437968179888 \tabularnewline
210 & 0 & 0.0379640101164571 & -0.0379640101164571 \tabularnewline
211 & 0 & 0.0288190720485431 & -0.0288190720485431 \tabularnewline
212 & 0 & 0.116230175951088 & -0.116230175951088 \tabularnewline
213 & 0 & 0.0375456261130405 & -0.0375456261130405 \tabularnewline
214 & 0 & 0.135611444155216 & -0.135611444155216 \tabularnewline
215 & 0 & 0.0671615655743761 & -0.0671615655743761 \tabularnewline
216 & 0 & 0.146778258475119 & -0.146778258475119 \tabularnewline
217 & 0 & 0.0883015024145282 & -0.0883015024145282 \tabularnewline
218 & 0 & 0.0367221136100573 & -0.0367221136100573 \tabularnewline
219 & 0 & 0.0794592171763518 & -0.0794592171763518 \tabularnewline
220 & 0 & 0.160239414391735 & -0.160239414391735 \tabularnewline
221 & 0 & 0.046082942648444 & -0.046082942648444 \tabularnewline
222 & 0 & 0.0414759424412039 & -0.0414759424412039 \tabularnewline
223 & 0 & 0.0428714524287517 & -0.0428714524287517 \tabularnewline
224 & 0 & 0.042666020603601 & -0.042666020603601 \tabularnewline
225 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
226 & 0 & 0.129002063125147 & -0.129002063125147 \tabularnewline
227 & 0 & 0.131612256709715 & -0.131612256709715 \tabularnewline
228 & 0 & 0.0860692031771478 & -0.0860692031771478 \tabularnewline
229 & 0 & 0.0405698575735224 & -0.0405698575735224 \tabularnewline
230 & 0 & 0.0394919649715938 & -0.0394919649715938 \tabularnewline
231 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
232 & 0 & 0.0367221136100573 & -0.0367221136100573 \tabularnewline
233 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
234 & 0 & 0.066443632109942 & -0.066443632109942 \tabularnewline
235 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
236 & 0 & 0.0629597863709855 & -0.0629597863709855 \tabularnewline
237 & 0 & 0.0401239534613601 & -0.0401239534613601 \tabularnewline
238 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
239 & 0 & 0.145341853146334 & -0.145341853146334 \tabularnewline
240 & 0 & 0.00893482623625537 & -0.00893482623625537 \tabularnewline
241 & 0 & 0.129754166793108 & -0.129754166793108 \tabularnewline
242 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
243 & 0 & 0.0633548594419146 & -0.0633548594419146 \tabularnewline
244 & 0 & 0.143917133744101 & -0.143917133744101 \tabularnewline
245 & 0 & 0.0367221136100573 & -0.0367221136100573 \tabularnewline
246 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
247 & 0 & 0.0399311378667142 & -0.0399311378667142 \tabularnewline
248 & 0 & 0.136967095770335 & -0.136967095770335 \tabularnewline
249 & 0 & 0.0388142506017327 & -0.0388142506017327 \tabularnewline
250 & 0 & 0.0625774841582016 & -0.0625774841582016 \tabularnewline
251 & 0 & 0.0371316749648551 & -0.0371316749648551 \tabularnewline
252 & 0 & 0.127713580378761 & -0.127713580378761 \tabularnewline
253 & 0 & 0.0101946694350277 & -0.0101946694350277 \tabularnewline
254 & 0 & 0.00952049414783409 & -0.00952049414783409 \tabularnewline
255 & 0 & 0.0383868703699226 & -0.0383868703699226 \tabularnewline
256 & 0 & 0.114253671249647 & -0.114253671249647 \tabularnewline
257 & 0 & 0.134267122818021 & -0.134267122818021 \tabularnewline
258 & 0 & 0.0405698575735224 & -0.0405698575735224 \tabularnewline
259 & 0 & 0.0433465111087393 & -0.0433465111087393 \tabularnewline
260 & 0 & 0.0394919649715938 & -0.0394919649715938 \tabularnewline
261 & 0 & 0.0375456261130405 & -0.0375456261130405 \tabularnewline
262 & 0 & 0.0440997300249802 & -0.0440997300249802 \tabularnewline
263 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
264 & 0 & 0.0392461948741092 & -0.0392461948741092 \tabularnewline
265 & 0 & 0.00920015711104772 & -0.00920015711104772 \tabularnewline
266 & 0 & 0.00834326233488132 & -0.00834326233488132 \tabularnewline
267 & 0 & 0.054684174158261 & -0.054684174158261 \tabularnewline
268 & 0 & 0.152641685956671 & -0.152641685956671 \tabularnewline
269 & 0 & 0.141470092350207 & -0.141470092350207 \tabularnewline
270 & 0 & 0.0410205053213048 & -0.0410205053213048 \tabularnewline
271 & 0 & 0.116605400283021 & -0.116605400283021 \tabularnewline
272 & 0 & 0.116605400283021 & -0.116605400283021 \tabularnewline
273 & 0 & 0.0878983703169285 & -0.0878983703169285 \tabularnewline
274 & 0 & 0.132934078339486 & -0.132934078339486 \tabularnewline
275 & 0 & 0.136967095770335 & -0.136967095770335 \tabularnewline
276 & 0 & 0.132934078339486 & -0.132934078339486 \tabularnewline
277 & 0 & 0.126436098937384 & -0.126436098937384 \tabularnewline
278 & 0 & 0.0408235645836218 & -0.0408235645836218 \tabularnewline
279 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
280 & 0 & 0.125169562137583 & -0.125169562137583 \tabularnewline
281 & 0 & 0.00903738382058891 & -0.00903738382058891 \tabularnewline
282 & 0 & 0.122669093465936 & -0.122669093465936 \tabularnewline
283 & 0 & 0.0907080098478343 & -0.0907080098478343 \tabularnewline
284 & 0 & 0.00589894102461113 & -0.00589894102461113 \tabularnewline
285 & 0 & 0.122669093465936 & -0.122669093465936 \tabularnewline
286 & 0 & 0.131612256709715 & -0.131612256709715 \tabularnewline
287 & 0 & 0.0609520219122858 & -0.0609520219122858 \tabularnewline
288 & 0 & 0.0421980908322391 & -0.0421980908322391 \tabularnewline
289 & 0 & 0.130301603348454 & -0.130301603348454 \tabularnewline
290 & 0 & 0.0607352500894143 & -0.0607352500894143 \tabularnewline
291 & 0 & 0.0996273569783844 & -0.0996273569783844 \tabularnewline
292 & 0 & 0.132934078339486 & -0.132934078339486 \tabularnewline
293 & 0 & 0.0433465111087393 & -0.0433465111087393 \tabularnewline
294 & 0 & 0.0440997300249802 & -0.0440997300249802 \tabularnewline
295 & 0 & 0.0363168993192197 & -0.0363168993192197 \tabularnewline
296 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
297 & 0 & 0.00873315872191022 & -0.00873315872191022 \tabularnewline
298 & 0 & 0.0460907911681932 & -0.0460907911681932 \tabularnewline
299 & 0 & 0.0391088840118696 & -0.0391088840118696 \tabularnewline
300 & 0 & 0.0254142630574988 & -0.0254142630574988 \tabularnewline
301 & 0 & 0.0920810334368871 & -0.0920810334368871 \tabularnewline
302 & 0 & 0.00763744419799405 & -0.00763744419799405 \tabularnewline
303 & 0 & 0.00803309377153577 & -0.00803309377153577 \tabularnewline
304 & 0 & 0.00746483926381421 & -0.00746483926381421 \tabularnewline
305 & 0 & 0.00767421017745573 & -0.00767421017745573 \tabularnewline
306 & 0 & 0.00975338903445974 & -0.00975338903445974 \tabularnewline
307 & 0 & 0.0356232677169239 & -0.0356232677169239 \tabularnewline
308 & 0 & 0.00729610649166021 & -0.00729610649166021 \tabularnewline
309 & 0 & 0.00724790380510578 & -0.00724790380510578 \tabularnewline
310 & 0 & 0.0460907911681932 & -0.0460907911681932 \tabularnewline
311 & 0 & 0.0167442698686849 & -0.0167442698686849 \tabularnewline
312 & 0 & 0.035003492704483 & -0.035003492704483 \tabularnewline
313 & 0 & 0.0306238127066861 & -0.0306238127066861 \tabularnewline
314 & 0 & 0.0368294234290631 & -0.0368294234290631 \tabularnewline
315 & 0 & 0.035394590596413 & -0.035394590596413 \tabularnewline
316 & 0 & 0.0365932974070981 & -0.0365932974070981 \tabularnewline
317 & 0 & 0.0422053069853537 & -0.0422053069853537 \tabularnewline
318 & 0 & 0.0415965440828727 & -0.0415965440828727 \tabularnewline
319 & 0 & 0.00708403957261746 & -0.00708403957261746 \tabularnewline
320 & 0 & 0.00708403957261746 & -0.00708403957261746 \tabularnewline
321 & 0 & 0.0316662519303609 & -0.0316662519303609 \tabularnewline
322 & 0 & 0.00665821262611236 & -0.00665821262611236 \tabularnewline
323 & 0 & 0.0306238127066861 & -0.0306238127066861 \tabularnewline
324 & 0 & 0.0306238127066861 & -0.0306238127066861 \tabularnewline
325 & 0 & 0.0619053010089053 & -0.0619053010089053 \tabularnewline
326 & 0 & 0.00646456584083927 & -0.00646456584083927 \tabularnewline
327 & 0 & 0.00653895584894624 & -0.00653895584894624 \tabularnewline
328 & 0 & 0.0361894511510765 & -0.0361894511510765 \tabularnewline
329 & 0 & 0.0306238127066861 & -0.0306238127066861 \tabularnewline
330 & 0 & 0.00669029645191284 & -0.00669029645191284 \tabularnewline
331 & 0 & 0.00676726632793062 & -0.00676726632793062 \tabularnewline
332 & 0 & 0.0372401353401337 & -0.0372401353401337 \tabularnewline
333 & 0 & 0.0299473968168294 & -0.0299473968168294 \tabularnewline
334 & 0 & 0.0273837443152592 & -0.0273837443152592 \tabularnewline
335 & 0 & 0.0334803571487055 & -0.0334803571487055 \tabularnewline
336 & 0 & 0.00741553014927954 & -0.00741553014927954 \tabularnewline
337 & 0 & 0.0239338105914863 & -0.0239338105914863 \tabularnewline
338 & 0 & 0.0258911298314316 & -0.0258911298314316 \tabularnewline
339 & 0 & 0.00827333472911252 & -0.00827333472911252 \tabularnewline
340 & 0 & 0.0511025057841238 & -0.0511025057841238 \tabularnewline
341 & 0 & 0.0436242404765572 & -0.0436242404765572 \tabularnewline
342 & 0 & 0.00978868302708173 & -0.00978868302708173 \tabularnewline
343 & 0 & 0.0145187602043612 & -0.0145187602043612 \tabularnewline
344 & 0 & 0.0410205053213048 & -0.0410205053213048 \tabularnewline
345 & 0 & 0.0306238127066861 & -0.0306238127066861 \tabularnewline
346 & 0 & 0.0281862499560374 & -0.0281862499560374 \tabularnewline
347 & 0 & 0.0443117454678391 & -0.0443117454678391 \tabularnewline
348 & 0 & 0.048159032860898 & -0.048159032860898 \tabularnewline
349 & 0 & 0.0471141252279916 & -0.0471141252279916 \tabularnewline
350 & 0 & 0.0309675463039048 & -0.0309675463039048 \tabularnewline
351 & 0 & 0.0357898962014285 & -0.0357898962014285 \tabularnewline
352 & 0 & 0.00681229443620001 & -0.00681229443620001 \tabularnewline
353 & 0 & 0.0100445568835693 & -0.0100445568835693 \tabularnewline
354 & 0 & 0.00921265547945228 & -0.00921265547945228 \tabularnewline
355 & 0 & 0.00808647588282815 & -0.00808647588282815 \tabularnewline
356 & 0 & 0.0160092190590574 & -0.0160092190590574 \tabularnewline
357 & 0 & 0.0352297353074725 & -0.0352297353074725 \tabularnewline
358 & 0 & 0.0169349357031212 & -0.0169349357031212 \tabularnewline
359 & 0 & 0.160481454700685 & -0.160481454700685 \tabularnewline
360 & 0 & 0.00799462228700433 & -0.00799462228700433 \tabularnewline
361 & 0 & 0.00750078061882199 & -0.00750078061882199 \tabularnewline
362 & 0 & 0.00621643506140311 & -0.00621643506140311 \tabularnewline
363 & 0 & 0.00716550666879995 & -0.00716550666879995 \tabularnewline
364 & 0 & 0.0384988505339483 & -0.0384988505339483 \tabularnewline
365 & 0 & 0.0336970988428862 & -0.0336970988428862 \tabularnewline
366 & 0 & 0.0322289109234714 & -0.0322289109234714 \tabularnewline
367 & 0 & 0.0911227405546925 & -0.0911227405546925 \tabularnewline
368 & 0 & 0.0296146406191599 & -0.0296146406191599 \tabularnewline
369 & 0 & 0.0374140333405127 & -0.0374140333405127 \tabularnewline
370 & 0 & 0.0302837752475448 & -0.0302837752475448 \tabularnewline
371 & 0 & 0.00733124144084082 & -0.00733124144084082 \tabularnewline
372 & 0 & 0.0292854701720907 & -0.0292854701720907 \tabularnewline
373 & 0 & 0.00794184168370348 & -0.00794184168370348 \tabularnewline
374 & 0 & 0.0357898962014285 & -0.0357898962014285 \tabularnewline
375 & 0 & 0.00653895584894624 & -0.00653895584894624 \tabularnewline
376 & 0 & 0.00903738382058891 & -0.00903738382058891 \tabularnewline
377 & 0 & 0.0855593895114748 & -0.0855593895114748 \tabularnewline
378 & 0 & 0.0323801953385274 & -0.0323801953385274 \tabularnewline
379 & 0 & 0.0460907911681932 & -0.0460907911681932 \tabularnewline
380 & 0 & 0.0264784284219083 & -0.0264784284219083 \tabularnewline
381 & 0 & 0.0283191131751629 & -0.0283191131751629 \tabularnewline
382 & 0 & 0.0261831767822952 & -0.0261831767822952 \tabularnewline
383 & 0 & 0.0286377421564163 & -0.0286377421564163 \tabularnewline
384 & 0 & 0.0511025057841238 & -0.0511025057841238 \tabularnewline
385 & 0 & 0.0283191131751629 & -0.0283191131751629 \tabularnewline
386 & 0 & 0.0499970881503519 & -0.0499970881503519 \tabularnewline
387 & 0 & 0.0419362150050626 & -0.0419362150050626 \tabularnewline
388 & 0 & 0.0100144786326795 & -0.0100144786326795 \tabularnewline
389 & 0 & 0.0414759424412039 & -0.0414759424412039 \tabularnewline
390 & 0 & 0.0424013694200799 & -0.0424013694200799 \tabularnewline
391 & 0 & 0.0383868703699226 & -0.0383868703699226 \tabularnewline
392 & 0 & 0.00538253810398206 & -0.00538253810398206 \tabularnewline
393 & 0 & 0.0130120949832906 & -0.0130120949832906 \tabularnewline
394 & 0 & 0.0837744260000068 & -0.0837744260000068 \tabularnewline
395 & 0 & 0.116230175951088 & -0.116230175951088 \tabularnewline
396 & 0 & 0.0440997300249802 & -0.0440997300249802 \tabularnewline
397 & 0 & 0.0320212997618863 & -0.0320212997618863 \tabularnewline
398 & 0 & 0.0363168993192197 & -0.0363168993192197 \tabularnewline
399 & 0 & 0.096570786082035 & -0.096570786082035 \tabularnewline
400 & 0 & 0.0320499641650744 & -0.0320499641650744 \tabularnewline
401 & 0 & 0.129002063125147 & -0.129002063125147 \tabularnewline
402 & 0 & 0.0390574257134892 & -0.0390574257134892 \tabularnewline
403 & 0 & 0.0377811655800942 & -0.0377811655800942 \tabularnewline
404 & 0 & 0.118999032526061 & -0.118999032526061 \tabularnewline
405 & 0 & 0.155644723438722 & -0.155644723438722 \tabularnewline
406 & 0 & 0.0723918784735499 & -0.0723918784735499 \tabularnewline
407 & 0 & 0.163363110208379 & -0.163363110208379 \tabularnewline
408 & 0 & 0.163363110208379 & -0.163363110208379 \tabularnewline
409 & 0 & 0.0403749893189945 & -0.0403749893189945 \tabularnewline
410 & 0 & 0.00873315872191022 & -0.00873315872191022 \tabularnewline
411 & 0 & 0.00863402344965713 & -0.00863402344965713 \tabularnewline
412 & 0 & 0.0408235645836218 & -0.0408235645836218 \tabularnewline
413 & 0 & 0.0260790030078618 & -0.0260790030078618 \tabularnewline
414 & 0 & 0.126436098937384 & -0.126436098937384 \tabularnewline
415 & 0 & 0.00878959621164215 & -0.00878959621164215 \tabularnewline
416 & 0 & 0.0794592171763518 & -0.0794592171763518 \tabularnewline
417 & 0 & 0.0440997300249802 & -0.0440997300249802 \tabularnewline
418 & 0 & 0.0448020169758923 & -0.0448020169758923 \tabularnewline
419 & 0 & 0.125169562137583 & -0.125169562137583 \tabularnewline
420 & 0 & 0.0355193426700751 & -0.0355193426700751 \tabularnewline
421 & 0 & 0.0486897026393876 & -0.0486897026393876 \tabularnewline
422 & 0 & 0.0834948631079662 & -0.0834948631079662 \tabularnewline
423 & 0 & 0.035003492704483 & -0.035003492704483 \tabularnewline
424 & 0 & 0.00916858714069405 & -0.00916858714069405 \tabularnewline
425 & 0 & 0.00997837871730505 & -0.00997837871730505 \tabularnewline
426 & 0 & 0.0370014772621558 & -0.0370014772621558 \tabularnewline
427 & 0 & 0.0360210319366378 & -0.0360210319366378 \tabularnewline
428 & 0 & 0.0455870895932524 & -0.0455870895932524 \tabularnewline
429 & 0 & 0.00721316534907428 & -0.00721316534907428 \tabularnewline
430 & 0 & 0.00643355751207628 & -0.00643355751207628 \tabularnewline
431 & 0 & 0.0338550339280188 & -0.0338550339280188 \tabularnewline
432 & 0 & 0.0286377421564163 & -0.0286377421564163 \tabularnewline
433 & 0 & 0.0306238127066861 & -0.0306238127066861 \tabularnewline
434 & 0 & 0.118999032526061 & -0.118999032526061 \tabularnewline
435 & 0 & 0.0923346073351675 & -0.0923346073351675 \tabularnewline
436 & 0 & 0.0267769178860169 & -0.0267769178860169 \tabularnewline
437 & 0 & 0.00724790380510578 & -0.00724790380510578 \tabularnewline
438 & 0 & 0.236434702087479 & -0.236434702087479 \tabularnewline
439 & 1 & 0.140661055323076 & 0.859338944676924 \tabularnewline
440 & 1 & 0.199186049420885 & 0.800813950579115 \tabularnewline
441 & 1 & 0.142504051569337 & 0.857495948430663 \tabularnewline
442 & 1 & 0.046082942648444 & 0.953917057351556 \tabularnewline
443 & 1 & 0.0803056883703308 & 0.919694311629669 \tabularnewline
444 & 1 & 0.0414759424412039 & 0.958524057558796 \tabularnewline
445 & 1 & 0.900989090249921 & 0.099010909750079 \tabularnewline
446 & 1 & 0.110164925132899 & 0.889835074867101 \tabularnewline
447 & 1 & 0.101120376259109 & 0.898879623740891 \tabularnewline
448 & 1 & 0.181423459284468 & 0.818576540715532 \tabularnewline
449 & 1 & 0.0414759424412039 & 0.958524057558796 \tabularnewline
450 & 1 & 0.311973035804963 & 0.688026964195037 \tabularnewline
451 & 1 & 0.0388142506017327 & 0.961185749398267 \tabularnewline
452 & 1 & 0.058793974214005 & 0.941206025785995 \tabularnewline
453 & 1 & 0.0602961757958033 & 0.939703824204197 \tabularnewline
454 & 1 & 0.558552777843806 & 0.441447222156194 \tabularnewline
455 & 1 & 0.0816463240217519 & 0.918353675978248 \tabularnewline
456 & 1 & 0.0945798598308007 & 0.905420140169199 \tabularnewline
457 & 1 & 0.0392461948741092 & 0.960753805125891 \tabularnewline
458 & 1 & 0.0457981107261285 & 0.954201889273872 \tabularnewline
459 & 1 & 0.0584353900306166 & 0.941564609969383 \tabularnewline
460 & 1 & 0.0390574257134892 & 0.960942574286511 \tabularnewline
461 & 1 & 0.14968631788439 & 0.85031368211561 \tabularnewline
462 & 1 & 0.668402650387784 & 0.331597349612216 \tabularnewline
463 & 1 & 0.0301367619679425 & 0.969863238032058 \tabularnewline
464 & 1 & 0.178027912101922 & 0.821972087898078 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=3

[TABLE]
[ROW][C]Fit of Logistic Regression[/C][/ROW]
[ROW][C]Index[/C][C]Actual[/C][C]Fitted[/C][C]Error[/C][/ROW]
[ROW][C]1[/C][C]0[/C][C]0.0383868703699226[/C][C]-0.0383868703699226[/C][/ROW]
[ROW][C]2[/C][C]0[/C][C]0.0302706860850248[/C][C]-0.0302706860850248[/C][/ROW]
[ROW][C]3[/C][C]0[/C][C]0.0465918555510592[/C][C]-0.0465918555510592[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]0.00935210680705014[/C][C]-0.00935210680705014[/C][/ROW]
[ROW][C]5[/C][C]0[/C][C]0.0213004392181517[/C][C]-0.0213004392181517[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]0.059434514215762[/C][C]-0.059434514215762[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]0.0448020169758923[/C][C]-0.0448020169758923[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]0.12391391284354[/C][C]-0.12391391284354[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]0.0405698575735224[/C][C]-0.0405698575735224[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]0.0106017713264318[/C][C]-0.0106017713264318[/C][/ROW]
[ROW][C]11[/C][C]0[/C][C]0.0465918555510592[/C][C]-0.0465918555510592[/C][/ROW]
[ROW][C]12[/C][C]0[/C][C]0.0355193426700751[/C][C]-0.0355193426700751[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0.0134955808210564[/C][C]-0.0134955808210564[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]0.0379640101164571[/C][C]-0.0379640101164571[/C][/ROW]
[ROW][C]15[/C][C]0[/C][C]0.0828946876785912[/C][C]-0.0828946876785912[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.0126211443167961[/C][C]-0.0126211443167961[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0.409918632972152[/C][C]-0.409918632972152[/C][/ROW]
[ROW][C]18[/C][C]0[/C][C]0.117796948498729[/C][C]-0.117796948498729[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]0.043138905492573[/C][C]-0.043138905492573[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]0.0452974558123534[/C][C]-0.0452974558123534[/C][/ROW]
[ROW][C]21[/C][C]0[/C][C]0.0410205053213048[/C][C]-0.0410205053213048[/C][/ROW]
[ROW][C]22[/C][C]0[/C][C]0.00914110774485202[/C][C]-0.00914110774485202[/C][/ROW]
[ROW][C]23[/C][C]0[/C][C]0.00978868302708173[/C][C]-0.00978868302708173[/C][/ROW]
[ROW][C]24[/C][C]0[/C][C]0.0347386698058196[/C][C]-0.0347386698058196[/C][/ROW]
[ROW][C]25[/C][C]0[/C][C]0.0440997300249802[/C][C]-0.0440997300249802[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]0.0371316749648551[/C][C]-0.0371316749648551[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.0388142506017327[/C][C]-0.0388142506017327[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.0388142506017327[/C][C]-0.0388142506017327[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]0.0448020169758923[/C][C]-0.0448020169758923[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]0.0448020169758923[/C][C]-0.0448020169758923[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.0457981107261285[/C][C]-0.0457981107261285[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.0820233606836075[/C][C]-0.0820233606836075[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0.0811603819127145[/C][C]-0.0811603819127145[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.0448020169758923[/C][C]-0.0448020169758923[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.0373647183599424[/C][C]-0.0373647183599424[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.0424013694200799[/C][C]-0.0424013694200799[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.0417422096709513[/C][C]-0.0417422096709513[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.0388142506017327[/C][C]-0.0388142506017327[/C][/ROW]
[ROW][C]39[/C][C]0[/C][C]0.0465918555510592[/C][C]-0.0465918555510592[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.0855593895114748[/C][C]-0.0855593895114748[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]0.0412839746658676[/C][C]-0.0412839746658676[/C][/ROW]
[ROW][C]42[/C][C]0[/C][C]0.0401239534613601[/C][C]-0.0401239534613601[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.0396827475835899[/C][C]-0.0396827475835899[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.0383868703699226[/C][C]-0.0383868703699226[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.0438265928726662[/C][C]-0.0438265928726662[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.043138905492573[/C][C]-0.043138905492573[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.141102557184442[/C][C]-0.141102557184442[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0.067886692314216[/C][C]-0.067886692314216[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.0405698575735224[/C][C]-0.0405698575735224[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.0448020169758923[/C][C]-0.0448020169758923[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.0388142506017327[/C][C]-0.0388142506017327[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.0375456261130405[/C][C]-0.0375456261130405[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.0448020169758923[/C][C]-0.0448020169758923[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.0428714524287517[/C][C]-0.0428714524287517[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0.0369526851913638[/C][C]-0.0369526851913638[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]0.0443117454678391[/C][C]-0.0443117454678391[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.109673985084932[/C][C]-0.109673985084932[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]0.00843908752697637[/C][C]-0.00843908752697637[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.118999032526061[/C][C]-0.118999032526061[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0.0100144786326795[/C][C]-0.0100144786326795[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.0289473152838999[/C][C]-0.0289473152838999[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.0351269165092361[/C][C]-0.0351269165092361[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.0367221136100573[/C][C]-0.0367221136100573[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0.0371316749648551[/C][C]-0.0371316749648551[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.127713580378761[/C][C]-0.127713580378761[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.0388142506017327[/C][C]-0.0388142506017327[/C][/ROW]
[ROW][C]67[/C][C]0[/C][C]0.0744845382027508[/C][C]-0.0744845382027508[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0.141102557184442[/C][C]-0.141102557184442[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]0.0438265928726662[/C][C]-0.0438265928726662[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.0455793227474351[/C][C]-0.0455793227474351[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0.0347386698058196[/C][C]-0.0347386698058196[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0.143917133744101[/C][C]-0.143917133744101[/C][/ROW]
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[ROW][C]167[/C][C]0[/C][C]0.0258911298314316[/C][C]-0.0258911298314316[/C][/ROW]
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[ROW][C]330[/C][C]0[/C][C]0.00669029645191284[/C][C]-0.00669029645191284[/C][/ROW]
[ROW][C]331[/C][C]0[/C][C]0.00676726632793062[/C][C]-0.00676726632793062[/C][/ROW]
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[ROW][C]336[/C][C]0[/C][C]0.00741553014927954[/C][C]-0.00741553014927954[/C][/ROW]
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[ROW][C]341[/C][C]0[/C][C]0.0436242404765572[/C][C]-0.0436242404765572[/C][/ROW]
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[ROW][C]400[/C][C]0[/C][C]0.0320499641650744[/C][C]-0.0320499641650744[/C][/ROW]
[ROW][C]401[/C][C]0[/C][C]0.129002063125147[/C][C]-0.129002063125147[/C][/ROW]
[ROW][C]402[/C][C]0[/C][C]0.0390574257134892[/C][C]-0.0390574257134892[/C][/ROW]
[ROW][C]403[/C][C]0[/C][C]0.0377811655800942[/C][C]-0.0377811655800942[/C][/ROW]
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[ROW][C]408[/C][C]0[/C][C]0.163363110208379[/C][C]-0.163363110208379[/C][/ROW]
[ROW][C]409[/C][C]0[/C][C]0.0403749893189945[/C][C]-0.0403749893189945[/C][/ROW]
[ROW][C]410[/C][C]0[/C][C]0.00873315872191022[/C][C]-0.00873315872191022[/C][/ROW]
[ROW][C]411[/C][C]0[/C][C]0.00863402344965713[/C][C]-0.00863402344965713[/C][/ROW]
[ROW][C]412[/C][C]0[/C][C]0.0408235645836218[/C][C]-0.0408235645836218[/C][/ROW]
[ROW][C]413[/C][C]0[/C][C]0.0260790030078618[/C][C]-0.0260790030078618[/C][/ROW]
[ROW][C]414[/C][C]0[/C][C]0.126436098937384[/C][C]-0.126436098937384[/C][/ROW]
[ROW][C]415[/C][C]0[/C][C]0.00878959621164215[/C][C]-0.00878959621164215[/C][/ROW]
[ROW][C]416[/C][C]0[/C][C]0.0794592171763518[/C][C]-0.0794592171763518[/C][/ROW]
[ROW][C]417[/C][C]0[/C][C]0.0440997300249802[/C][C]-0.0440997300249802[/C][/ROW]
[ROW][C]418[/C][C]0[/C][C]0.0448020169758923[/C][C]-0.0448020169758923[/C][/ROW]
[ROW][C]419[/C][C]0[/C][C]0.125169562137583[/C][C]-0.125169562137583[/C][/ROW]
[ROW][C]420[/C][C]0[/C][C]0.0355193426700751[/C][C]-0.0355193426700751[/C][/ROW]
[ROW][C]421[/C][C]0[/C][C]0.0486897026393876[/C][C]-0.0486897026393876[/C][/ROW]
[ROW][C]422[/C][C]0[/C][C]0.0834948631079662[/C][C]-0.0834948631079662[/C][/ROW]
[ROW][C]423[/C][C]0[/C][C]0.035003492704483[/C][C]-0.035003492704483[/C][/ROW]
[ROW][C]424[/C][C]0[/C][C]0.00916858714069405[/C][C]-0.00916858714069405[/C][/ROW]
[ROW][C]425[/C][C]0[/C][C]0.00997837871730505[/C][C]-0.00997837871730505[/C][/ROW]
[ROW][C]426[/C][C]0[/C][C]0.0370014772621558[/C][C]-0.0370014772621558[/C][/ROW]
[ROW][C]427[/C][C]0[/C][C]0.0360210319366378[/C][C]-0.0360210319366378[/C][/ROW]
[ROW][C]428[/C][C]0[/C][C]0.0455870895932524[/C][C]-0.0455870895932524[/C][/ROW]
[ROW][C]429[/C][C]0[/C][C]0.00721316534907428[/C][C]-0.00721316534907428[/C][/ROW]
[ROW][C]430[/C][C]0[/C][C]0.00643355751207628[/C][C]-0.00643355751207628[/C][/ROW]
[ROW][C]431[/C][C]0[/C][C]0.0338550339280188[/C][C]-0.0338550339280188[/C][/ROW]
[ROW][C]432[/C][C]0[/C][C]0.0286377421564163[/C][C]-0.0286377421564163[/C][/ROW]
[ROW][C]433[/C][C]0[/C][C]0.0306238127066861[/C][C]-0.0306238127066861[/C][/ROW]
[ROW][C]434[/C][C]0[/C][C]0.118999032526061[/C][C]-0.118999032526061[/C][/ROW]
[ROW][C]435[/C][C]0[/C][C]0.0923346073351675[/C][C]-0.0923346073351675[/C][/ROW]
[ROW][C]436[/C][C]0[/C][C]0.0267769178860169[/C][C]-0.0267769178860169[/C][/ROW]
[ROW][C]437[/C][C]0[/C][C]0.00724790380510578[/C][C]-0.00724790380510578[/C][/ROW]
[ROW][C]438[/C][C]0[/C][C]0.236434702087479[/C][C]-0.236434702087479[/C][/ROW]
[ROW][C]439[/C][C]1[/C][C]0.140661055323076[/C][C]0.859338944676924[/C][/ROW]
[ROW][C]440[/C][C]1[/C][C]0.199186049420885[/C][C]0.800813950579115[/C][/ROW]
[ROW][C]441[/C][C]1[/C][C]0.142504051569337[/C][C]0.857495948430663[/C][/ROW]
[ROW][C]442[/C][C]1[/C][C]0.046082942648444[/C][C]0.953917057351556[/C][/ROW]
[ROW][C]443[/C][C]1[/C][C]0.0803056883703308[/C][C]0.919694311629669[/C][/ROW]
[ROW][C]444[/C][C]1[/C][C]0.0414759424412039[/C][C]0.958524057558796[/C][/ROW]
[ROW][C]445[/C][C]1[/C][C]0.900989090249921[/C][C]0.099010909750079[/C][/ROW]
[ROW][C]446[/C][C]1[/C][C]0.110164925132899[/C][C]0.889835074867101[/C][/ROW]
[ROW][C]447[/C][C]1[/C][C]0.101120376259109[/C][C]0.898879623740891[/C][/ROW]
[ROW][C]448[/C][C]1[/C][C]0.181423459284468[/C][C]0.818576540715532[/C][/ROW]
[ROW][C]449[/C][C]1[/C][C]0.0414759424412039[/C][C]0.958524057558796[/C][/ROW]
[ROW][C]450[/C][C]1[/C][C]0.311973035804963[/C][C]0.688026964195037[/C][/ROW]
[ROW][C]451[/C][C]1[/C][C]0.0388142506017327[/C][C]0.961185749398267[/C][/ROW]
[ROW][C]452[/C][C]1[/C][C]0.058793974214005[/C][C]0.941206025785995[/C][/ROW]
[ROW][C]453[/C][C]1[/C][C]0.0602961757958033[/C][C]0.939703824204197[/C][/ROW]
[ROW][C]454[/C][C]1[/C][C]0.558552777843806[/C][C]0.441447222156194[/C][/ROW]
[ROW][C]455[/C][C]1[/C][C]0.0816463240217519[/C][C]0.918353675978248[/C][/ROW]
[ROW][C]456[/C][C]1[/C][C]0.0945798598308007[/C][C]0.905420140169199[/C][/ROW]
[ROW][C]457[/C][C]1[/C][C]0.0392461948741092[/C][C]0.960753805125891[/C][/ROW]
[ROW][C]458[/C][C]1[/C][C]0.0457981107261285[/C][C]0.954201889273872[/C][/ROW]
[ROW][C]459[/C][C]1[/C][C]0.0584353900306166[/C][C]0.941564609969383[/C][/ROW]
[ROW][C]460[/C][C]1[/C][C]0.0390574257134892[/C][C]0.960942574286511[/C][/ROW]
[ROW][C]461[/C][C]1[/C][C]0.14968631788439[/C][C]0.85031368211561[/C][/ROW]
[ROW][C]462[/C][C]1[/C][C]0.668402650387784[/C][C]0.331597349612216[/C][/ROW]
[ROW][C]463[/C][C]1[/C][C]0.0301367619679425[/C][C]0.969863238032058[/C][/ROW]
[ROW][C]464[/C][C]1[/C][C]0.178027912101922[/C][C]0.821972087898078[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=3

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

As an alternative you can also use a QR Code:

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

Fit of Logistic Regression
Index	Actual	Fitted	Error
1	0	0.0383868703699226	-0.0383868703699226
2	0	0.0302706860850248	-0.0302706860850248
3	0	0.0465918555510592	-0.0465918555510592
4	0	0.00935210680705014	-0.00935210680705014
5	0	0.0213004392181517	-0.0213004392181517
6	0	0.059434514215762	-0.059434514215762
7	0	0.0448020169758923	-0.0448020169758923
8	0	0.12391391284354	-0.12391391284354
9	0	0.0405698575735224	-0.0405698575735224
10	0	0.0106017713264318	-0.0106017713264318
11	0	0.0465918555510592	-0.0465918555510592
12	0	0.0355193426700751	-0.0355193426700751
13	0	0.0134955808210564	-0.0134955808210564
14	0	0.0379640101164571	-0.0379640101164571
15	0	0.0828946876785912	-0.0828946876785912
16	0	0.0126211443167961	-0.0126211443167961
17	0	0.409918632972152	-0.409918632972152
18	0	0.117796948498729	-0.117796948498729
19	0	0.043138905492573	-0.043138905492573
20	0	0.0452974558123534	-0.0452974558123534
21	0	0.0410205053213048	-0.0410205053213048
22	0	0.00914110774485202	-0.00914110774485202
23	0	0.00978868302708173	-0.00978868302708173
24	0	0.0347386698058196	-0.0347386698058196
25	0	0.0440997300249802	-0.0440997300249802
26	0	0.0371316749648551	-0.0371316749648551
27	0	0.0388142506017327	-0.0388142506017327
28	0	0.0388142506017327	-0.0388142506017327
29	0	0.0448020169758923	-0.0448020169758923
30	0	0.0448020169758923	-0.0448020169758923
31	0	0.0457981107261285	-0.0457981107261285
32	0	0.0820233606836075	-0.0820233606836075
33	0	0.0811603819127145	-0.0811603819127145
34	0	0.0448020169758923	-0.0448020169758923
35	0	0.0373647183599424	-0.0373647183599424
36	0	0.0424013694200799	-0.0424013694200799
37	0	0.0417422096709513	-0.0417422096709513
38	0	0.0388142506017327	-0.0388142506017327
39	0	0.0465918555510592	-0.0465918555510592
40	0	0.0855593895114748	-0.0855593895114748
41	0	0.0412839746658676	-0.0412839746658676
42	0	0.0401239534613601	-0.0401239534613601
43	0	0.0396827475835899	-0.0396827475835899
44	0	0.0383868703699226	-0.0383868703699226
45	0	0.0438265928726662	-0.0438265928726662
46	0	0.043138905492573	-0.043138905492573
47	0	0.141102557184442	-0.141102557184442
48	0	0.067886692314216	-0.067886692314216
49	0	0.0405698575735224	-0.0405698575735224
50	0	0.0448020169758923	-0.0448020169758923
51	0	0.0388142506017327	-0.0388142506017327
52	0	0.0375456261130405	-0.0375456261130405
53	0	0.0448020169758923	-0.0448020169758923
54	0	0.0428714524287517	-0.0428714524287517
55	0	0.0369526851913638	-0.0369526851913638
56	0	0.0443117454678391	-0.0443117454678391
57	0	0.109673985084932	-0.109673985084932
58	0	0.00843908752697637	-0.00843908752697637
59	0	0.118999032526061	-0.118999032526061
60	0	0.0100144786326795	-0.0100144786326795
61	0	0.0289473152838999	-0.0289473152838999
62	0	0.0351269165092361	-0.0351269165092361
63	0	0.0367221136100573	-0.0367221136100573
64	0	0.0371316749648551	-0.0371316749648551
65	0	0.127713580378761	-0.127713580378761
66	0	0.0388142506017327	-0.0388142506017327
67	0	0.0744845382027508	-0.0744845382027508
68	0	0.141102557184442	-0.141102557184442
69	0	0.0438265928726662	-0.0438265928726662
70	0	0.0455793227474351	-0.0455793227474351
71	0	0.0347386698058196	-0.0347386698058196
72	0	0.143917133744101	-0.143917133744101
73	0	0.0448020169758923	-0.0448020169758923
74	0	0.134267122818021	-0.134267122818021
75	0	0.0379640101164571	-0.0379640101164571
76	0	0.0394919649715938	-0.0394919649715938
77	0	0.0448020169758923	-0.0448020169758923
78	0	0.00873315872191022	-0.00873315872191022
79	0	0.0830209103707864	-0.0830209103707864
80	0	0.0448020169758923	-0.0448020169758923
81	0	0.0388142506017327	-0.0388142506017327
82	0	0.0383868703699226	-0.0383868703699226
83	0	0.0339745507891732	-0.0339745507891732
84	0	0.0448020169758923	-0.0448020169758923
85	0	0.0286253434360695	-0.0286253434360695
86	0	0.0371316749648551	-0.0371316749648551
87	0	0.066443632109942	-0.066443632109942
88	0	0.0401239534613601	-0.0401239534613601
89	0	0.0405698575735224	-0.0405698575735224
90	0	0.0627363511115565	-0.0627363511115565
91	0	0.136967095770335	-0.136967095770335
92	0	0.0424013694200799	-0.0424013694200799
93	0	0.0428714524287517	-0.0428714524287517
94	0	0.0786209055746527	-0.0786209055746527
95	0	0.0392461948741092	-0.0392461948741092
96	0	0.116605400283021	-0.116605400283021
97	0	0.138334130471513	-0.138334130471513
98	0	0.0448020169758923	-0.0448020169758923
99	0	0.0442674778363729	-0.0442674778363729
100	0	0.148226397669103	-0.148226397669103
101	0	0.0408235645836218	-0.0408235645836218
102	0	0.136967095770335	-0.136967095770335
103	0	0.0807869629993368	-0.0807869629993368
104	0	0.0600815872112826	-0.0600815872112826
105	0	0.122669093465936	-0.122669093465936
106	0	0.138334130471513	-0.138334130471513
107	0	0.127713580378761	-0.127713580378761
108	0	0.0471061110561313	-0.0471061110561313
109	0	0.0440997300249802	-0.0440997300249802
110	0	0.125169562137583	-0.125169562137583
111	0	0.0388142506017327	-0.0388142506017327
112	0	0.142504051569337	-0.142504051569337
113	0	0.0405698575735224	-0.0405698575735224
114	0	0.0436167927658597	-0.0436167927658597
115	0	0.0575322670657264	-0.0575322670657264
116	0	0.109318305194781	-0.109318305194781
117	0	0.12391391284354	-0.12391391284354
118	0	0.00935210680705014	-0.00935210680705014
119	0	0.0100144786326795	-0.0100144786326795
120	0	0.0926407762696427	-0.0926407762696427
121	0	0.0468152654444686	-0.0468152654444686
122	0	0.0448020169758923	-0.0448020169758923
123	0	0.0920810334368871	-0.0920810334368871
124	0	0.0392461948741092	-0.0392461948741092
125	0	0.0392461948741092	-0.0392461948741092
126	0	0.00815483711333145	-0.00815483711333145
127	0	0.00824851617900299	-0.00824851617900299
128	0	0.00853600383020244	-0.00853600383020244
129	0	0.0100144786326795	-0.0100144786326795
130	0	0.0401239534613601	-0.0401239534613601
131	0	0.0422053069853537	-0.0422053069853537
132	0	0.0392461948741092	-0.0392461948741092
133	0	0.0424013694200799	-0.0424013694200799
134	0	0.0401239534613601	-0.0401239534613601
135	0	0.0851815175313484	-0.0851815175313484
136	0	0.0864647413585049	-0.0864647413585049
137	0	0.0583680619055909	-0.0583680619055909
138	0	0.115424327951752	-0.115424327951752
139	0	0.143917133744101	-0.143917133744101
140	0	0.00823996524612134	-0.00823996524612134
141	0	0.0401239534613601	-0.0401239534613601
142	0	0.0101293022471183	-0.0101293022471183
143	0	0.0627363511115565	-0.0627363511115565
144	0	0.0448020169758923	-0.0448020169758923
145	0	0.0401239534613601	-0.0401239534613601
146	0	0.164967837031956	-0.164967837031956
147	0	0.0392461948741092	-0.0392461948741092
148	0	0.0375456261130405	-0.0375456261130405
149	0	0.0388142506017327	-0.0388142506017327
150	0	0.0379640101164571	-0.0379640101164571
151	0	0.0286253434360695	-0.0286253434360695
152	0	0.096570786082035	-0.096570786082035
153	0	0.175273302662598	-0.175273302662598
154	0	0.0405698575735224	-0.0405698575735224
155	0	0.0419362150050626	-0.0419362150050626
156	0	0.00824851617900299	-0.00824851617900299
157	0	0.0438265928726662	-0.0438265928726662
158	0	0.0392461948741092	-0.0392461948741092
159	0	0.0428714524287517	-0.0428714524287517
160	0	0.0392461948741092	-0.0392461948741092
161	0	0.0410205053213048	-0.0410205053213048
162	0	0.0401239534613601	-0.0401239534613601
163	0	0.025602254728555	-0.025602254728555
164	0	0.0869936150448269	-0.0869936150448269
165	0	0.0124655489834762	-0.0124655489834762
166	0	0.0100144786326795	-0.0100144786326795
167	0	0.0258911298314316	-0.0258911298314316
168	0	0.00873315872191022	-0.00873315872191022
169	0	0.0367221136100573	-0.0367221136100573
170	0	0.0433465111087393	-0.0433465111087393
171	0	0.0101293022471183	-0.0101293022471183
172	0	0.00853600383020244	-0.00853600383020244
173	0	0.0428714524287517	-0.0428714524287517
174	0	0.0448020169758923	-0.0448020169758923
175	0	0.00853600383020244	-0.00853600383020244
176	0	0.0128958297149726	-0.0128958297149726
177	0	0.0828946876785912	-0.0828946876785912
178	0	0.0388142506017327	-0.0388142506017327
179	0	0.0392461948741092	-0.0392461948741092
180	0	0.0379640101164571	-0.0379640101164571
181	0	0.0371316749648551	-0.0371316749648551
182	0	0.0242043279500739	-0.0242043279500739
183	0	0.0379640101164571	-0.0379640101164571
184	0	0.0379640101164571	-0.0379640101164571
185	0	0.0401239534613601	-0.0401239534613601
186	0	0.00978868302708173	-0.00978868302708173
187	0	0.0448020169758923	-0.0448020169758923
188	0	0.00956792921295334	-0.00956792921295334
189	0	0.0410205053213048	-0.0410205053213048
190	0	0.759827251552659	-0.759827251552659
191	0	0.00853600383020244	-0.00853600383020244
192	0	0.0383868703699226	-0.0383868703699226
193	0	0.146778258475119	-0.146778258475119
194	0	0.0383868703699226	-0.0383868703699226
195	0	0.0371316749648551	-0.0371316749648551
196	0	0.00952049414783409	-0.00952049414783409
197	0	0.0602961757958033	-0.0602961757958033
198	0	0.0306238127066861	-0.0306238127066861
199	0	0.0375456261130405	-0.0375456261130405
200	0	0.0359159896947192	-0.0359159896947192
201	0	0.129002063125147	-0.129002063125147
202	0	0.0090957693057597	-0.0090957693057597
203	0	0.0445877652059452	-0.0445877652059452
204	0	0.0371316749648551	-0.0371316749648551
205	0	0.0408235645836218	-0.0408235645836218
206	0	0.0396827475835899	-0.0396827475835899
207	0	0.0465918555510592	-0.0465918555510592
208	0	0.0897625933907207	-0.0897625933907207
209	0	0.0657437968179888	-0.0657437968179888
210	0	0.0379640101164571	-0.0379640101164571
211	0	0.0288190720485431	-0.0288190720485431
212	0	0.116230175951088	-0.116230175951088
213	0	0.0375456261130405	-0.0375456261130405
214	0	0.135611444155216	-0.135611444155216
215	0	0.0671615655743761	-0.0671615655743761
216	0	0.146778258475119	-0.146778258475119
217	0	0.0883015024145282	-0.0883015024145282
218	0	0.0367221136100573	-0.0367221136100573
219	0	0.0794592171763518	-0.0794592171763518
220	0	0.160239414391735	-0.160239414391735
221	0	0.046082942648444	-0.046082942648444
222	0	0.0414759424412039	-0.0414759424412039
223	0	0.0428714524287517	-0.0428714524287517
224	0	0.042666020603601	-0.042666020603601
225	0	0.0388142506017327	-0.0388142506017327
226	0	0.129002063125147	-0.129002063125147
227	0	0.131612256709715	-0.131612256709715
228	0	0.0860692031771478	-0.0860692031771478
229	0	0.0405698575735224	-0.0405698575735224
230	0	0.0394919649715938	-0.0394919649715938
231	0	0.0388142506017327	-0.0388142506017327
232	0	0.0367221136100573	-0.0367221136100573
233	0	0.0401239534613601	-0.0401239534613601
234	0	0.066443632109942	-0.066443632109942
235	0	0.0448020169758923	-0.0448020169758923
236	0	0.0629597863709855	-0.0629597863709855
237	0	0.0401239534613601	-0.0401239534613601
238	0	0.0448020169758923	-0.0448020169758923
239	0	0.145341853146334	-0.145341853146334
240	0	0.00893482623625537	-0.00893482623625537
241	0	0.129754166793108	-0.129754166793108
242	0	0.0448020169758923	-0.0448020169758923
243	0	0.0633548594419146	-0.0633548594419146
244	0	0.143917133744101	-0.143917133744101
245	0	0.0367221136100573	-0.0367221136100573
246	0	0.0448020169758923	-0.0448020169758923
247	0	0.0399311378667142	-0.0399311378667142
248	0	0.136967095770335	-0.136967095770335
249	0	0.0388142506017327	-0.0388142506017327
250	0	0.0625774841582016	-0.0625774841582016
251	0	0.0371316749648551	-0.0371316749648551
252	0	0.127713580378761	-0.127713580378761
253	0	0.0101946694350277	-0.0101946694350277
254	0	0.00952049414783409	-0.00952049414783409
255	0	0.0383868703699226	-0.0383868703699226
256	0	0.114253671249647	-0.114253671249647
257	0	0.134267122818021	-0.134267122818021
258	0	0.0405698575735224	-0.0405698575735224
259	0	0.0433465111087393	-0.0433465111087393
260	0	0.0394919649715938	-0.0394919649715938
261	0	0.0375456261130405	-0.0375456261130405
262	0	0.0440997300249802	-0.0440997300249802
263	0	0.0448020169758923	-0.0448020169758923
264	0	0.0392461948741092	-0.0392461948741092
265	0	0.00920015711104772	-0.00920015711104772
266	0	0.00834326233488132	-0.00834326233488132
267	0	0.054684174158261	-0.054684174158261
268	0	0.152641685956671	-0.152641685956671
269	0	0.141470092350207	-0.141470092350207
270	0	0.0410205053213048	-0.0410205053213048
271	0	0.116605400283021	-0.116605400283021
272	0	0.116605400283021	-0.116605400283021
273	0	0.0878983703169285	-0.0878983703169285
274	0	0.132934078339486	-0.132934078339486
275	0	0.136967095770335	-0.136967095770335
276	0	0.132934078339486	-0.132934078339486
277	0	0.126436098937384	-0.126436098937384
278	0	0.0408235645836218	-0.0408235645836218
279	0	0.0448020169758923	-0.0448020169758923
280	0	0.125169562137583	-0.125169562137583
281	0	0.00903738382058891	-0.00903738382058891
282	0	0.122669093465936	-0.122669093465936
283	0	0.0907080098478343	-0.0907080098478343
284	0	0.00589894102461113	-0.00589894102461113
285	0	0.122669093465936	-0.122669093465936
286	0	0.131612256709715	-0.131612256709715
287	0	0.0609520219122858	-0.0609520219122858
288	0	0.0421980908322391	-0.0421980908322391
289	0	0.130301603348454	-0.130301603348454
290	0	0.0607352500894143	-0.0607352500894143
291	0	0.0996273569783844	-0.0996273569783844
292	0	0.132934078339486	-0.132934078339486
293	0	0.0433465111087393	-0.0433465111087393
294	0	0.0440997300249802	-0.0440997300249802
295	0	0.0363168993192197	-0.0363168993192197
296	0	0.0448020169758923	-0.0448020169758923
297	0	0.00873315872191022	-0.00873315872191022
298	0	0.0460907911681932	-0.0460907911681932
299	0	0.0391088840118696	-0.0391088840118696
300	0	0.0254142630574988	-0.0254142630574988
301	0	0.0920810334368871	-0.0920810334368871
302	0	0.00763744419799405	-0.00763744419799405
303	0	0.00803309377153577	-0.00803309377153577
304	0	0.00746483926381421	-0.00746483926381421
305	0	0.00767421017745573	-0.00767421017745573
306	0	0.00975338903445974	-0.00975338903445974
307	0	0.0356232677169239	-0.0356232677169239
308	0	0.00729610649166021	-0.00729610649166021
309	0	0.00724790380510578	-0.00724790380510578
310	0	0.0460907911681932	-0.0460907911681932
311	0	0.0167442698686849	-0.0167442698686849
312	0	0.035003492704483	-0.035003492704483
313	0	0.0306238127066861	-0.0306238127066861
314	0	0.0368294234290631	-0.0368294234290631
315	0	0.035394590596413	-0.035394590596413
316	0	0.0365932974070981	-0.0365932974070981
317	0	0.0422053069853537	-0.0422053069853537
318	0	0.0415965440828727	-0.0415965440828727
319	0	0.00708403957261746	-0.00708403957261746
320	0	0.00708403957261746	-0.00708403957261746
321	0	0.0316662519303609	-0.0316662519303609
322	0	0.00665821262611236	-0.00665821262611236
323	0	0.0306238127066861	-0.0306238127066861
324	0	0.0306238127066861	-0.0306238127066861
325	0	0.0619053010089053	-0.0619053010089053
326	0	0.00646456584083927	-0.00646456584083927
327	0	0.00653895584894624	-0.00653895584894624
328	0	0.0361894511510765	-0.0361894511510765
329	0	0.0306238127066861	-0.0306238127066861
330	0	0.00669029645191284	-0.00669029645191284
331	0	0.00676726632793062	-0.00676726632793062
332	0	0.0372401353401337	-0.0372401353401337
333	0	0.0299473968168294	-0.0299473968168294
334	0	0.0273837443152592	-0.0273837443152592
335	0	0.0334803571487055	-0.0334803571487055
336	0	0.00741553014927954	-0.00741553014927954
337	0	0.0239338105914863	-0.0239338105914863
338	0	0.0258911298314316	-0.0258911298314316
339	0	0.00827333472911252	-0.00827333472911252
340	0	0.0511025057841238	-0.0511025057841238
341	0	0.0436242404765572	-0.0436242404765572
342	0	0.00978868302708173	-0.00978868302708173
343	0	0.0145187602043612	-0.0145187602043612
344	0	0.0410205053213048	-0.0410205053213048
345	0	0.0306238127066861	-0.0306238127066861
346	0	0.0281862499560374	-0.0281862499560374
347	0	0.0443117454678391	-0.0443117454678391
348	0	0.048159032860898	-0.048159032860898
349	0	0.0471141252279916	-0.0471141252279916
350	0	0.0309675463039048	-0.0309675463039048
351	0	0.0357898962014285	-0.0357898962014285
352	0	0.00681229443620001	-0.00681229443620001
353	0	0.0100445568835693	-0.0100445568835693
354	0	0.00921265547945228	-0.00921265547945228
355	0	0.00808647588282815	-0.00808647588282815
356	0	0.0160092190590574	-0.0160092190590574
357	0	0.0352297353074725	-0.0352297353074725
358	0	0.0169349357031212	-0.0169349357031212
359	0	0.160481454700685	-0.160481454700685
360	0	0.00799462228700433	-0.00799462228700433
361	0	0.00750078061882199	-0.00750078061882199
362	0	0.00621643506140311	-0.00621643506140311
363	0	0.00716550666879995	-0.00716550666879995
364	0	0.0384988505339483	-0.0384988505339483
365	0	0.0336970988428862	-0.0336970988428862
366	0	0.0322289109234714	-0.0322289109234714
367	0	0.0911227405546925	-0.0911227405546925
368	0	0.0296146406191599	-0.0296146406191599
369	0	0.0374140333405127	-0.0374140333405127
370	0	0.0302837752475448	-0.0302837752475448
371	0	0.00733124144084082	-0.00733124144084082
372	0	0.0292854701720907	-0.0292854701720907
373	0	0.00794184168370348	-0.00794184168370348
374	0	0.0357898962014285	-0.0357898962014285
375	0	0.00653895584894624	-0.00653895584894624
376	0	0.00903738382058891	-0.00903738382058891
377	0	0.0855593895114748	-0.0855593895114748
378	0	0.0323801953385274	-0.0323801953385274
379	0	0.0460907911681932	-0.0460907911681932
380	0	0.0264784284219083	-0.0264784284219083
381	0	0.0283191131751629	-0.0283191131751629
382	0	0.0261831767822952	-0.0261831767822952
383	0	0.0286377421564163	-0.0286377421564163
384	0	0.0511025057841238	-0.0511025057841238
385	0	0.0283191131751629	-0.0283191131751629
386	0	0.0499970881503519	-0.0499970881503519
387	0	0.0419362150050626	-0.0419362150050626
388	0	0.0100144786326795	-0.0100144786326795
389	0	0.0414759424412039	-0.0414759424412039
390	0	0.0424013694200799	-0.0424013694200799
391	0	0.0383868703699226	-0.0383868703699226
392	0	0.00538253810398206	-0.00538253810398206
393	0	0.0130120949832906	-0.0130120949832906
394	0	0.0837744260000068	-0.0837744260000068
395	0	0.116230175951088	-0.116230175951088
396	0	0.0440997300249802	-0.0440997300249802
397	0	0.0320212997618863	-0.0320212997618863
398	0	0.0363168993192197	-0.0363168993192197
399	0	0.096570786082035	-0.096570786082035
400	0	0.0320499641650744	-0.0320499641650744
401	0	0.129002063125147	-0.129002063125147
402	0	0.0390574257134892	-0.0390574257134892
403	0	0.0377811655800942	-0.0377811655800942
404	0	0.118999032526061	-0.118999032526061
405	0	0.155644723438722	-0.155644723438722
406	0	0.0723918784735499	-0.0723918784735499
407	0	0.163363110208379	-0.163363110208379
408	0	0.163363110208379	-0.163363110208379
409	0	0.0403749893189945	-0.0403749893189945
410	0	0.00873315872191022	-0.00873315872191022
411	0	0.00863402344965713	-0.00863402344965713
412	0	0.0408235645836218	-0.0408235645836218
413	0	0.0260790030078618	-0.0260790030078618
414	0	0.126436098937384	-0.126436098937384
415	0	0.00878959621164215	-0.00878959621164215
416	0	0.0794592171763518	-0.0794592171763518
417	0	0.0440997300249802	-0.0440997300249802
418	0	0.0448020169758923	-0.0448020169758923
419	0	0.125169562137583	-0.125169562137583
420	0	0.0355193426700751	-0.0355193426700751
421	0	0.0486897026393876	-0.0486897026393876
422	0	0.0834948631079662	-0.0834948631079662
423	0	0.035003492704483	-0.035003492704483
424	0	0.00916858714069405	-0.00916858714069405
425	0	0.00997837871730505	-0.00997837871730505
426	0	0.0370014772621558	-0.0370014772621558
427	0	0.0360210319366378	-0.0360210319366378
428	0	0.0455870895932524	-0.0455870895932524
429	0	0.00721316534907428	-0.00721316534907428
430	0	0.00643355751207628	-0.00643355751207628
431	0	0.0338550339280188	-0.0338550339280188
432	0	0.0286377421564163	-0.0286377421564163
433	0	0.0306238127066861	-0.0306238127066861
434	0	0.118999032526061	-0.118999032526061
435	0	0.0923346073351675	-0.0923346073351675
436	0	0.0267769178860169	-0.0267769178860169
437	0	0.00724790380510578	-0.00724790380510578
438	0	0.236434702087479	-0.236434702087479
439	1	0.140661055323076	0.859338944676924
440	1	0.199186049420885	0.800813950579115
441	1	0.142504051569337	0.857495948430663
442	1	0.046082942648444	0.953917057351556
443	1	0.0803056883703308	0.919694311629669
444	1	0.0414759424412039	0.958524057558796
445	1	0.900989090249921	0.099010909750079
446	1	0.110164925132899	0.889835074867101
447	1	0.101120376259109	0.898879623740891
448	1	0.181423459284468	0.818576540715532
449	1	0.0414759424412039	0.958524057558796
450	1	0.311973035804963	0.688026964195037
451	1	0.0388142506017327	0.961185749398267
452	1	0.058793974214005	0.941206025785995
453	1	0.0602961757958033	0.939703824204197
454	1	0.558552777843806	0.441447222156194
455	1	0.0816463240217519	0.918353675978248
456	1	0.0945798598308007	0.905420140169199
457	1	0.0392461948741092	0.960753805125891
458	1	0.0457981107261285	0.954201889273872
459	1	0.0584353900306166	0.941564609969383
460	1	0.0390574257134892	0.960942574286511
461	1	0.14968631788439	0.85031368211561
462	1	0.668402650387784	0.331597349612216
463	1	0.0301367619679425	0.969863238032058
464	1	0.178027912101922	0.821972087898078

Type I & II errors for various threshold values
Threshold	Type I	Type II
0.01	0	0.856164383561644
0.02	0	0.812785388127854
0.03	0	0.757990867579909
0.04	0.153846153846154	0.518264840182648
0.05	0.307692307692308	0.271689497716895
0.06	0.384615384615385	0.257990867579909
0.07	0.423076923076923	0.223744292237443
0.08	0.423076923076923	0.212328767123288
0.09	0.5	0.17351598173516
0.1	0.538461538461538	0.15296803652968
0.11	0.576923076923077	0.148401826484018
0.12	0.615384615384615	0.123287671232877
0.13	0.615384615384615	0.0844748858447489
0.14	0.615384615384615	0.0502283105022831
0.15	0.730769230769231	0.0251141552511416
0.16	0.730769230769231	0.0205479452054795
0.17	0.730769230769231	0.0091324200913242
0.18	0.769230769230769	0.00684931506849315
0.19	0.807692307692308	0.00684931506849315
0.2	0.846153846153846	0.00684931506849315
0.21	0.846153846153846	0.00684931506849315
0.22	0.846153846153846	0.00684931506849315
0.23	0.846153846153846	0.00684931506849315
0.24	0.846153846153846	0.0045662100456621
0.25	0.846153846153846	0.0045662100456621
0.26	0.846153846153846	0.0045662100456621
0.27	0.846153846153846	0.0045662100456621
0.28	0.846153846153846	0.0045662100456621
0.29	0.846153846153846	0.0045662100456621
0.3	0.846153846153846	0.0045662100456621
0.31	0.846153846153846	0.0045662100456621
0.32	0.884615384615385	0.0045662100456621
0.33	0.884615384615385	0.0045662100456621
0.34	0.884615384615385	0.0045662100456621
0.35	0.884615384615385	0.0045662100456621
0.36	0.884615384615385	0.0045662100456621
0.37	0.884615384615385	0.0045662100456621
0.38	0.884615384615385	0.0045662100456621
0.39	0.884615384615385	0.0045662100456621
0.4	0.884615384615385	0.0045662100456621
0.41	0.884615384615385	0.00228310502283105
0.42	0.884615384615385	0.00228310502283105
0.43	0.884615384615385	0.00228310502283105
0.44	0.884615384615385	0.00228310502283105
0.45	0.884615384615385	0.00228310502283105
0.46	0.884615384615385	0.00228310502283105
0.47	0.884615384615385	0.00228310502283105
0.48	0.884615384615385	0.00228310502283105
0.49	0.884615384615385	0.00228310502283105
0.5	0.884615384615385	0.00228310502283105
0.51	0.884615384615385	0.00228310502283105
0.52	0.884615384615385	0.00228310502283105
0.53	0.884615384615385	0.00228310502283105
0.54	0.884615384615385	0.00228310502283105
0.55	0.884615384615385	0.00228310502283105
0.56	0.923076923076923	0.00228310502283105
0.57	0.923076923076923	0.00228310502283105
0.58	0.923076923076923	0.00228310502283105
0.59	0.923076923076923	0.00228310502283105
0.6	0.923076923076923	0.00228310502283105
0.61	0.923076923076923	0.00228310502283105
0.62	0.923076923076923	0.00228310502283105
0.63	0.923076923076923	0.00228310502283105
0.64	0.923076923076923	0.00228310502283105
0.65	0.923076923076923	0.00228310502283105
0.66	0.923076923076923	0.00228310502283105
0.67	0.961538461538462	0.00228310502283105
0.68	0.961538461538462	0.00228310502283105
0.69	0.961538461538462	0.00228310502283105
0.7	0.961538461538462	0.00228310502283105
0.71	0.961538461538462	0.00228310502283105
0.72	0.961538461538462	0.00228310502283105
0.73	0.961538461538462	0.00228310502283105
0.74	0.961538461538462	0.00228310502283105
0.75	0.961538461538462	0.00228310502283105
0.76	0.961538461538462	0
0.77	0.961538461538462	0
0.78	0.961538461538462	0
0.79	0.961538461538462	0
0.8	0.961538461538462	0
0.81	0.961538461538462	0
0.82	0.961538461538462	0
0.83	0.961538461538462	0
0.84	0.961538461538462	0
0.85	0.961538461538462	0
0.86	0.961538461538462	0
0.87	0.961538461538462	0
0.88	0.961538461538462	0
0.89	0.961538461538462	0
0.9	0.961538461538462	0
0.91	1	0
0.92	1	0
0.93	1	0
0.94	1	0
0.95	1	0
0.96	1	0
0.97	1	0
0.98	1	0
0.99	1	0

\begin{tabular}{lllllllll}
\hline
Type I & II errors for various threshold values \tabularnewline
Threshold & Type I & Type II \tabularnewline
0.01 & 0 & 0.856164383561644 \tabularnewline
0.02 & 0 & 0.812785388127854 \tabularnewline
0.03 & 0 & 0.757990867579909 \tabularnewline
0.04 & 0.153846153846154 & 0.518264840182648 \tabularnewline
0.05 & 0.307692307692308 & 0.271689497716895 \tabularnewline
0.06 & 0.384615384615385 & 0.257990867579909 \tabularnewline
0.07 & 0.423076923076923 & 0.223744292237443 \tabularnewline
0.08 & 0.423076923076923 & 0.212328767123288 \tabularnewline
0.09 & 0.5 & 0.17351598173516 \tabularnewline
0.1 & 0.538461538461538 & 0.15296803652968 \tabularnewline
0.11 & 0.576923076923077 & 0.148401826484018 \tabularnewline
0.12 & 0.615384615384615 & 0.123287671232877 \tabularnewline
0.13 & 0.615384615384615 & 0.0844748858447489 \tabularnewline
0.14 & 0.615384615384615 & 0.0502283105022831 \tabularnewline
0.15 & 0.730769230769231 & 0.0251141552511416 \tabularnewline
0.16 & 0.730769230769231 & 0.0205479452054795 \tabularnewline
0.17 & 0.730769230769231 & 0.0091324200913242 \tabularnewline
0.18 & 0.769230769230769 & 0.00684931506849315 \tabularnewline
0.19 & 0.807692307692308 & 0.00684931506849315 \tabularnewline
0.2 & 0.846153846153846 & 0.00684931506849315 \tabularnewline
0.21 & 0.846153846153846 & 0.00684931506849315 \tabularnewline
0.22 & 0.846153846153846 & 0.00684931506849315 \tabularnewline
0.23 & 0.846153846153846 & 0.00684931506849315 \tabularnewline
0.24 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.25 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.26 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.27 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.28 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.29 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.3 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.31 & 0.846153846153846 & 0.0045662100456621 \tabularnewline
0.32 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.33 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.34 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.35 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.36 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.37 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.38 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.39 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.4 & 0.884615384615385 & 0.0045662100456621 \tabularnewline
0.41 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.42 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.43 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.44 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.45 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.46 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.47 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.48 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.49 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.5 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.51 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.52 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.53 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.54 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.55 & 0.884615384615385 & 0.00228310502283105 \tabularnewline
0.56 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.57 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.58 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.59 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.6 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.61 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.62 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.63 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.64 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.65 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.66 & 0.923076923076923 & 0.00228310502283105 \tabularnewline
0.67 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.68 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.69 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.7 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.71 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.72 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.73 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.74 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.75 & 0.961538461538462 & 0.00228310502283105 \tabularnewline
0.76 & 0.961538461538462 & 0 \tabularnewline
0.77 & 0.961538461538462 & 0 \tabularnewline
0.78 & 0.961538461538462 & 0 \tabularnewline
0.79 & 0.961538461538462 & 0 \tabularnewline
0.8 & 0.961538461538462 & 0 \tabularnewline
0.81 & 0.961538461538462 & 0 \tabularnewline
0.82 & 0.961538461538462 & 0 \tabularnewline
0.83 & 0.961538461538462 & 0 \tabularnewline
0.84 & 0.961538461538462 & 0 \tabularnewline
0.85 & 0.961538461538462 & 0 \tabularnewline
0.86 & 0.961538461538462 & 0 \tabularnewline
0.87 & 0.961538461538462 & 0 \tabularnewline
0.88 & 0.961538461538462 & 0 \tabularnewline
0.89 & 0.961538461538462 & 0 \tabularnewline
0.9 & 0.961538461538462 & 0 \tabularnewline
0.91 & 1 & 0 \tabularnewline
0.92 & 1 & 0 \tabularnewline
0.93 & 1 & 0 \tabularnewline
0.94 & 1 & 0 \tabularnewline
0.95 & 1 & 0 \tabularnewline
0.96 & 1 & 0 \tabularnewline
0.97 & 1 & 0 \tabularnewline
0.98 & 1 & 0 \tabularnewline
0.99 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=4

[TABLE]
[ROW][C]Type I & II errors for various threshold values[/C][/ROW]
[ROW][C]Threshold[/C][C]Type I[/C][C]Type II[/C][/ROW]
[ROW][C]0.01[/C][C]0[/C][C]0.856164383561644[/C][/ROW]
[ROW][C]0.02[/C][C]0[/C][C]0.812785388127854[/C][/ROW]
[ROW][C]0.03[/C][C]0[/C][C]0.757990867579909[/C][/ROW]
[ROW][C]0.04[/C][C]0.153846153846154[/C][C]0.518264840182648[/C][/ROW]
[ROW][C]0.05[/C][C]0.307692307692308[/C][C]0.271689497716895[/C][/ROW]
[ROW][C]0.06[/C][C]0.384615384615385[/C][C]0.257990867579909[/C][/ROW]
[ROW][C]0.07[/C][C]0.423076923076923[/C][C]0.223744292237443[/C][/ROW]
[ROW][C]0.08[/C][C]0.423076923076923[/C][C]0.212328767123288[/C][/ROW]
[ROW][C]0.09[/C][C]0.5[/C][C]0.17351598173516[/C][/ROW]
[ROW][C]0.1[/C][C]0.538461538461538[/C][C]0.15296803652968[/C][/ROW]
[ROW][C]0.11[/C][C]0.576923076923077[/C][C]0.148401826484018[/C][/ROW]
[ROW][C]0.12[/C][C]0.615384615384615[/C][C]0.123287671232877[/C][/ROW]
[ROW][C]0.13[/C][C]0.615384615384615[/C][C]0.0844748858447489[/C][/ROW]
[ROW][C]0.14[/C][C]0.615384615384615[/C][C]0.0502283105022831[/C][/ROW]
[ROW][C]0.15[/C][C]0.730769230769231[/C][C]0.0251141552511416[/C][/ROW]
[ROW][C]0.16[/C][C]0.730769230769231[/C][C]0.0205479452054795[/C][/ROW]
[ROW][C]0.17[/C][C]0.730769230769231[/C][C]0.0091324200913242[/C][/ROW]
[ROW][C]0.18[/C][C]0.769230769230769[/C][C]0.00684931506849315[/C][/ROW]
[ROW][C]0.19[/C][C]0.807692307692308[/C][C]0.00684931506849315[/C][/ROW]
[ROW][C]0.2[/C][C]0.846153846153846[/C][C]0.00684931506849315[/C][/ROW]
[ROW][C]0.21[/C][C]0.846153846153846[/C][C]0.00684931506849315[/C][/ROW]
[ROW][C]0.22[/C][C]0.846153846153846[/C][C]0.00684931506849315[/C][/ROW]
[ROW][C]0.23[/C][C]0.846153846153846[/C][C]0.00684931506849315[/C][/ROW]
[ROW][C]0.24[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.25[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.26[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.27[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.28[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.29[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.3[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.31[/C][C]0.846153846153846[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.32[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.33[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.34[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.35[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.36[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.37[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.38[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.39[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.4[/C][C]0.884615384615385[/C][C]0.0045662100456621[/C][/ROW]
[ROW][C]0.41[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.42[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.43[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.44[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.45[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.46[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.47[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.48[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.49[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.5[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.51[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.52[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.53[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.54[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.55[/C][C]0.884615384615385[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.56[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.57[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.58[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.59[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.6[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.61[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.62[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.63[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.64[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.65[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.66[/C][C]0.923076923076923[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.67[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.68[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.69[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.7[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.71[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.72[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.73[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.74[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.75[/C][C]0.961538461538462[/C][C]0.00228310502283105[/C][/ROW]
[ROW][C]0.76[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.77[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.78[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.79[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.8[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.81[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.82[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.83[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.84[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.85[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.86[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.87[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.88[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.89[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.9[/C][C]0.961538461538462[/C][C]0[/C][/ROW]
[ROW][C]0.91[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.92[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.93[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.94[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.95[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.96[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.97[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.98[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.99[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=4

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

As an alternative you can also use a QR Code:

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

Type I & II errors for various threshold values
Threshold	Type I	Type II
0.01	0	0.856164383561644
0.02	0	0.812785388127854
0.03	0	0.757990867579909
0.04	0.153846153846154	0.518264840182648
0.05	0.307692307692308	0.271689497716895
0.06	0.384615384615385	0.257990867579909
0.07	0.423076923076923	0.223744292237443
0.08	0.423076923076923	0.212328767123288
0.09	0.5	0.17351598173516
0.1	0.538461538461538	0.15296803652968
0.11	0.576923076923077	0.148401826484018
0.12	0.615384615384615	0.123287671232877
0.13	0.615384615384615	0.0844748858447489
0.14	0.615384615384615	0.0502283105022831
0.15	0.730769230769231	0.0251141552511416
0.16	0.730769230769231	0.0205479452054795
0.17	0.730769230769231	0.0091324200913242
0.18	0.769230769230769	0.00684931506849315
0.19	0.807692307692308	0.00684931506849315
0.2	0.846153846153846	0.00684931506849315
0.21	0.846153846153846	0.00684931506849315
0.22	0.846153846153846	0.00684931506849315
0.23	0.846153846153846	0.00684931506849315
0.24	0.846153846153846	0.0045662100456621
0.25	0.846153846153846	0.0045662100456621
0.26	0.846153846153846	0.0045662100456621
0.27	0.846153846153846	0.0045662100456621
0.28	0.846153846153846	0.0045662100456621
0.29	0.846153846153846	0.0045662100456621
0.3	0.846153846153846	0.0045662100456621
0.31	0.846153846153846	0.0045662100456621
0.32	0.884615384615385	0.0045662100456621
0.33	0.884615384615385	0.0045662100456621
0.34	0.884615384615385	0.0045662100456621
0.35	0.884615384615385	0.0045662100456621
0.36	0.884615384615385	0.0045662100456621
0.37	0.884615384615385	0.0045662100456621
0.38	0.884615384615385	0.0045662100456621
0.39	0.884615384615385	0.0045662100456621
0.4	0.884615384615385	0.0045662100456621
0.41	0.884615384615385	0.00228310502283105
0.42	0.884615384615385	0.00228310502283105
0.43	0.884615384615385	0.00228310502283105
0.44	0.884615384615385	0.00228310502283105
0.45	0.884615384615385	0.00228310502283105
0.46	0.884615384615385	0.00228310502283105
0.47	0.884615384615385	0.00228310502283105
0.48	0.884615384615385	0.00228310502283105
0.49	0.884615384615385	0.00228310502283105
0.5	0.884615384615385	0.00228310502283105
0.51	0.884615384615385	0.00228310502283105
0.52	0.884615384615385	0.00228310502283105
0.53	0.884615384615385	0.00228310502283105
0.54	0.884615384615385	0.00228310502283105
0.55	0.884615384615385	0.00228310502283105
0.56	0.923076923076923	0.00228310502283105
0.57	0.923076923076923	0.00228310502283105
0.58	0.923076923076923	0.00228310502283105
0.59	0.923076923076923	0.00228310502283105
0.6	0.923076923076923	0.00228310502283105
0.61	0.923076923076923	0.00228310502283105
0.62	0.923076923076923	0.00228310502283105
0.63	0.923076923076923	0.00228310502283105
0.64	0.923076923076923	0.00228310502283105
0.65	0.923076923076923	0.00228310502283105
0.66	0.923076923076923	0.00228310502283105
0.67	0.961538461538462	0.00228310502283105
0.68	0.961538461538462	0.00228310502283105
0.69	0.961538461538462	0.00228310502283105
0.7	0.961538461538462	0.00228310502283105
0.71	0.961538461538462	0.00228310502283105
0.72	0.961538461538462	0.00228310502283105
0.73	0.961538461538462	0.00228310502283105
0.74	0.961538461538462	0.00228310502283105
0.75	0.961538461538462	0.00228310502283105
0.76	0.961538461538462	0
0.77	0.961538461538462	0
0.78	0.961538461538462	0
0.79	0.961538461538462	0
0.8	0.961538461538462	0
0.81	0.961538461538462	0
0.82	0.961538461538462	0
0.83	0.961538461538462	0
0.84	0.961538461538462	0
0.85	0.961538461538462	0
0.86	0.961538461538462	0
0.87	0.961538461538462	0
0.88	0.961538461538462	0
0.89	0.961538461538462	0
0.9	0.961538461538462	0
0.91	1	0
0.92	1	0
0.93	1	0
0.94	1	0
0.95	1	0
0.96	1	0
0.97	1	0
0.98	1	0
0.99	1	0

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

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

library(brglm)
roc.plot <- function (sd, sdc, newplot = TRUE, ...)
{
sall <- sort(c(sd, sdc))
sens <- 0
specc <- 0
for (i in length(sall):1) {
sens <- c(sens, mean(sd >= sall[i], na.rm = T))
specc <- c(specc, mean(sdc >= sall[i], na.rm = T))
}
if (newplot) {
plot(specc, sens, xlim = c(0, 1), ylim = c(0, 1), type = 'l',
xlab = '1-specificity', ylab = 'sensitivity', main = 'ROC plot', ...)
abline(0, 1)
}
else lines(specc, sens, ...)
npoints <- length(sens)
area <- sum(0.5 * (sens[-1] + sens[-npoints]) * (specc[-1] -
specc[-npoints]))
lift <- (sens - specc)[-1]
cutoff <- sall[lift == max(lift)][1]
sensopt <- sens[-1][lift == max(lift)][1]
specopt <- 1 - specc[-1][lift == max(lift)][1]
list(area = area, cutoff = cutoff, sensopt = sensopt, specopt = specopt)
}
roc.analysis <- function (object, newdata = NULL, newplot = TRUE, ...)
{
if (is.null(newdata)) {
sd <- object$fitted[object$y == 1]
sdc <- object$fitted[object$y == 0]
}
else {
sd <- predict(object, newdata, type = 'response')[newdata$y ==
1]
sdc <- predict(object, newdata, type = 'response')[newdata$y ==
0]
}
roc.plot(sd, sdc, newplot, ...)
}
hosmerlem <- function (y, yhat, g = 10)
{
cutyhat <- cut(yhat, breaks = quantile(yhat, probs = seq(0,
1, 1/g)), include.lowest = T)
obs <- xtabs(cbind(1 - y, y) ~ cutyhat)
expect <- xtabs(cbind(1 - yhat, yhat) ~ cutyhat)
chisq <- sum((obs - expect)^2/expect)
P <- 1 - pchisq(chisq, g - 2)
c('X^2' = chisq, Df = g - 2, 'P(>Chi)' = P)
}
x <- as.data.frame(t(y))
r <- brglm(x)
summary(r)
rc <- summary(r)$coeff
try(hm <- hosmerlem(y[1,],r$fitted.values),silent=T)
try(hm,silent=T)
bitmap(file='test0.png')
ra <- roc.analysis(r)
dev.off()
te <- array(0,dim=c(2,99))
for (i in 1:99) {
threshold <- i / 100
numcorr1 <- 0
numfaul1 <- 0
numcorr0 <- 0
numfaul0 <- 0
for (j in 1:length(r$fitted.values)) {
if (y[1,j] > 0.99) {
if (r$fitted.values[j] >= threshold) numcorr1 = numcorr1 + 1 else numfaul1 = numfaul1 + 1
} else {
if (r$fitted.values[j] < threshold) numcorr0 = numcorr0 + 1 else numfaul0 = numfaul0 + 1
}
}
te[1,i] <- numfaul1 / (numfaul1 + numcorr1)
te[2,i] <- numfaul0 / (numfaul0 + numcorr0)
}
bitmap(file='test1.png')
op <- par(mfrow=c(2,2))
plot((1:99)/100,te[1,],xlab='Threshold',ylab='Type I error', main='1 - Specificity')
plot((1:99)/100,te[2,],xlab='Threshold',ylab='Type II error', main='1 - Sensitivity')
plot(te[1,],te[2,],xlab='Type I error',ylab='Type II error', main='(1-Sens.) vs (1-Spec.)')
plot((1:99)/100,te[1,]+te[2,],xlab='Threshold',ylab='Sum of Type I & II error', main='(1-Sens.) + (1-Spec.)')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Coefficients of Bias-Reduced Logistic Regression',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'t-stat',header=TRUE)
a<-table.element(a,'2-sided p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(rc[,1])) {
a<-table.row.start(a)
a<-table.element(a,labels(rc)[[1]][i],header=TRUE)
a<-table.element(a,rc[i,1])
a<-table.element(a,rc[i,2])
a<-table.element(a,rc[i,3])
a<-table.element(a,2*(1-pt(abs(rc[i,3]),r$df.residual)))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Bias-Reduced Logistic Regression',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Deviance',1,TRUE)
a<-table.element(a,r$deviance)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Penalized deviance',1,TRUE)
a<-table.element(a,r$penalized.deviance)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Residual Degrees of Freedom',1,TRUE)
a<-table.element(a,r$df.residual)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'ROC Area',1,TRUE)
a<-table.element(a,ra$area)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Hosmer–Lemeshow test',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Chi-square',1,TRUE)
phm <- array('NA',dim=3)
for (i in 1:3) { try(phm[i] <- hm[i],silent=T) }
a<-table.element(a,phm[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',1,TRUE)
a<-table.element(a,phm[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'P(>Chi)',1,TRUE)
a<-table.element(a,phm[3])
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,'Fit of Logistic Regression',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Index',1,TRUE)
a<-table.element(a,'Actual',1,TRUE)
a<-table.element(a,'Fitted',1,TRUE)
a<-table.element(a,'Error',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(r$fitted.values)) {
a<-table.row.start(a)
a<-table.element(a,i,1,TRUE)
a<-table.element(a,y[1,i])
a<-table.element(a,r$fitted.values[i])
a<-table.element(a,y[1,i]-r$fitted.values[i])
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,'Type I & II errors for various threshold values',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Threshold',1,TRUE)
a<-table.element(a,'Type I',1,TRUE)
a<-table.element(a,'Type II',1,TRUE)
a<-table.row.end(a)
for (i in 1:99) {
a<-table.row.start(a)
a<-table.element(a,i/100,1,TRUE)
a<-table.element(a,te[1,i])
a<-table.element(a,te[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable3.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code