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Table 10 Logistic regression for development status of enterprise based on factor scores

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

Full model

Reduced model by stepwise elimination

Coefficients

Estimate

Std. error

z value

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

Coefficients

Estimate

Std. error

z value

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

(Intercept)

− 2.2437

1.6134

− 1.3907

0.1643

(Intercept)

0.215

0.796

0.270

0.787

x1

0.0154

0.0136

1.1350

0.2564

x1

Removed

x2

− 0.0181

0.0149

− 1.2202

0.2224

x2

− 0.033

0.019

− 1.714

0.087

x3

− 0.0056

0.0895

− 0.0627

0.9500

x3

0.000

0.000

1.293

0.196

x4

0.0000

0.0000

1.7467

0.0807

x4

Removed

x5

0.1070

0.0404

2.6505

0.0080

x5

− 0.802

0.468

− 1.714

0.086

x6

− 0.0761

0.0375

− 2.0286

0.0425

x6

0.000

0.000

4.382

0.000

x7

− 0.1203

0.1006

− 1.1960

0.2317

x7

Removed

x8

− 0.0083

0.0723

− 0.1153

0.9082

x8

Removed

x9

− 0.4450

1.1683

− 0.3809

0.7033

x9

Removed

x10

0.0000

0.0000

4.9160

0.0000

x10

0.000

0.000

− 3.980

0.000

x11

0.0702

0.0447

1.5701

0.1164

x11

Removed

AIC

192.040

AIC

183.160