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Table 17 Logistic regression full model for development status of an enterprise based on all explanatory variables

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

No.

Full model

Coefficients

Estimate

Std. error

t value

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

No

Coefficients

Estimate

Std. error

t value

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

1

(Intercept)

4.958

2,614,096.849

0.000

1.000

42

IF11

5.923

169,451.330

0.000

1.000

2

c1

−  13.760

316,306.025

0.000

1.000

43

IF12

−  1.194

76,149.602

0.000

1.000

3

c2

−  7.311

132,919.886

0.000

1.000

44

IF13

−  5.565

152,714.444

0.000

1.000

4

c3

36.275

732,299.736

0.000

1.000

45

IF14

−  0.208

362,123.438

0.000

1.000

5

c4

−  36.150

1,128,248.785

0.000

1.000

46

IF15

−  3.712

181,134.756

0.000

1.000

6

c5

20.108

405,911.146

0.000

1.000

47

IF16

−  3.440

62,879.430

0.000

1.000

7

c6

1.306

410,842.052

0.000

1.000

48

IF17

8.271

127,473.185

0.000

1.000

8

c7

9.286

1,012,667.981

0.000

1.000

49

IF18

1.822

123,147.926

0.000

1.000

9

c11

−  14.339

220,132.783

0.000

1.000

50

s1

20.368

270,903.154

0.000

1.000

10

c14

6.571

56,881.870

0.000

1.000

51

s2

−  6.681

262,377.966

0.000

1.000

11

c15

−  3.120

301,610.389

0.000

1.000

52

s3

−  25.062

625,667.169

0.000

1.000

12

c10

50.178

446,569.165

0.000

1.000

53

s4

5.002

269,981.542

0.000

1.000

13

h1

1.665

15,314.144

0.000

1.000

54

s5

27.397

1,142,072.937

0.000

1.000

14

h2

−  5.516

171,718.641

0.000

1.000

55

s6

−  8.394

336,651.212

0.000

1.000

15

h3

4.163

661,162.289

0.000

1.000

56

In1

−  1.117

124,868.301

0.000

1.000

16

h4

−  36.841

701,308.424

0.000

1.000

57

In2

1.298

313,484.895

0.000

1.000

17

h5

14.753

239,071.266

0.000

1.000

58

In3

−  2.481

228,680.680

0.000

1.000

18

h6

−  58.114

1,319,993.972

0.000

1.000

59

In4

−  10.480

245,023.177

0.000

1.000

19

h7

8.613

121,302.676

0.000

1.000

60

In5

14.163

357,466.385

0.000

1.000

20

h8

−  0.468

37,495.368

0.000

1.000

61

In6

−  18.582

628,779.715

0.000

1.000

21

h9

13.973

420,234.026

0.000

1.000

62

In7

9.842

525,114.283

0.000

1.000

22

h11

11.427

686,649.379

0.000

1.000

63

In8

−  14.108

487,970.124

0.000

1.000

23

h12

−  1.232

720,857.977

0.000

1.000

64

In9

15.025

1,307,033.796

0.000

1.000

24

h13

−  16.286

310,977.756

0.000

1.000

65

In10

−  1.569

1,284,211.390

0.000

1.000

25

h14

21.364

640,443.859

0.000

1.000

66

StartK

0.000

5.193

0.000

1.000

26

h15

1.020

446,599.076

0.000

1.000

67

CurrK

0.000

0.777

0.000

1.000

27

f1

0.000

2.654

0.000

1.000

68

SourceK

−  11.250

597,320.880

0.000

1.000

28

f2

22.664

416,770.299

0.000

1.000

69

MSEs

60.628

267,055.236

0.000

1.000

29

f3

8.189

1,019,389.766

0.000

1.000

70

Category

−  23.094

135,671.823

0.000

1.000

30

f4

31.613

441,621.077

0.000

1.000

71

Grouping

−  23.002

810,953.991

0.000

1.000

31

f5

23.491

375,903.799

0.000

1.000

72

Emp_0

−  0.677

15,277.651

0.000

1.000

32

IF1

−  5.836

117,205.548

0.000

1.000

73

X15.29

10.224

433,665.460

0.000

1.000

33

IF2

8.850

158,957.012

0.000

1.000

74

X30.49

3.975

407,546.622

0.000

1.000

34

IF3

3.289

266,299.063

0.000

1.000

75

X50.65

−  10.213

323,110.764

0.000

1.000

35

IF4

5.337

143,498.185

0.000

1.000

76

X.65

24.358

1,146,268.145

0.000

1.000

36

IF5

−  1.573

72,458.888

0.000

1.000

77

ed0

−  16.479

730,350.071

0.000

1.000

37

IF6

−  2.078

160,401.583

0.000

1.000

78

ed1

−  1.472

455,101.645

0.000

1.000

38

IF7

−  7.758

233,028.989

0.000

1.000

79

ed2

−  0.455

65,937.820

0.000

1.000

39

IF8

4.498

223,800.980

0.000

1.000

80

ed3

−  5.548

285,216.639

0.000

1.000

40

IF9

−  6.862

283,967.054

0.000

1.000

81

emp_Male

8.635

432,755.143

0.000

1.000

41

IF10

−  3.424

190,939.853

0.000

1.000

      

AIC

162.000