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Table 7 Logistic regression for development status of an enterprise based on selected factors through stepwise elimination and lasso methods

From: Application of variable selection and dimension reduction on predictors of MSE’s development

Variables selected by stepwise selection

Variables selected using lasso method

Reduced model

Coefficients

Estimate

Std. Error

L value

\(\hbox {Pr}(>|\hbox {t}|)\)

Significance

Coefficients

Estimate

Std. error

t value

\(\hbox {Pr}(>|\hbox {t}|)\)

Significance

Coefficients

Estimate

Std. error

t value

\(\hbox {Pr}(>|\hbox {t}|)\)

Significance

(Intercept)

− 322.676

68577.647

− 0.005

0.996

 

(Intercept)

1.905

0.956

1.993

0.046

*

(Intercept)

− 954.150

32304.935

− 0.030

0.976

 

c1

− 552.518

33988.886

− 0.016

0.987

 

c1

− 1.710

0.691

− 2.473

0.013

*

IF10

− 461.056

15,574.685

− 0.030

0.976

 

c5

289.965

20,527.088

0.014

0.989

 

h5

0.569

0.431

1.319

0.187

 

c1

− 1,131.226

38,004.669

− 0.030

0.976

 

h1

11.445

778.170

0.015

0.988

 

IF7

− 0.121

0.212

− 0.569

0.569

 

c5

605.125

20,639.885

0.029

0.977

 

h4

− 455.053

28,358.289

− 0.016

0.987

 

IF10

− 0.586

0.258

− 2.275

0.023

*

h1

18.827

664.254

0.028

0.977

 

h5

356.473

22,839.877

0.016

0.988

 

IF13

− 0.572

0.294

− 1.947

0.052

.

h4

− 655.461

22,483.411

− 0.029

0.977

 

h6

− 136.468

8857.694

− 0.015

0.988

 

MSEs

6.475

1.542

4.199

0.000

***

h5

654.079

22,067.031

0.030

0.976

 

h7

142.049

9688.991

0.015

0.988

 

Category

− 0.905

0.21b

− 4.217

0.000

***

h6

− 230.180

8704.315

− 0.026

0.979

 

IF3

147.569

12506.807

0.012

0.991

       

h7

281.038

10105.656

0.028

0.978

 

IF9

− 202.959

13861.819

− 0.015

0.988

       

IF3

237. 720

7991.684

0.030

0.976

 

IF11

74.875

5115.008

0.015

0.988

       

IF11

224.844

7969.311

0.028

0.977

 

IF13

− 365.188

21395.708

− 0.017

0.986

       

IF13

− 543.842

18109.693

− 0.030

0.976

 

IF17

112.401

9559.584

0.012

0.991

       

IF17

151.610

5265.601

0.029

0.977

 

s1

182.913

22360.952

0.008

0.993

       

s1

510.642

17258.235

0.030

0.976

 

s3

− 393.450

36930.442

− 0.011

0.991

       

s3

− 987.537

33036.343

− 0.030

0.976

 

StartK

0.001

0.102

0.014

0.989

       

MSES

4482.055

152684.795

0.029

0.977

 

MSEs

1662.705

98798.058

0.017

0.987

       

Category

− 666.719

22782.652

− 0.029

0.97 7

 

Category

− 364.239

21327.956

− 0.017

0.986

       

Grouping

− 524.788

18505.604

− 0.028

0.977

 

Grouping

− 418.374

27113.658

− 0.016

0.988

       

X15.29

141.460

4728.631

0.030

0.976

 

X15.29

75.706

4414.207

0.017

0.986

             

AIC

40.000

AIC

104.460

AIC

38.000

Significance codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Significance codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Significance codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1