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Table 10 The result of multivariable linear regression models

From: Leisure participation patterns and gender wage gap—evidence from Chinese manufacturing industry

Items

Model 1 (OLS)

Model 2 (WLS)

Model 3 (constraint)

Coefficient

Sig.

Coefficient

Sig.

Coefficient

Sig.

Constant

296.088

.658

334.959

.585

1045.638

.135

X 1

−342.525

.017

−350.315

.013

−554.199

.000

X 2

78.664

.000

78.643

.000

89.009

.000

X 3

191.880

.002

191.185

.001

200.230

.002

L 5

8.991

.000

8.598

.000

a

 

L 7

9.630

.034

9.502

.034

a

 

R 2

.695

 

.715

 

.595

 

Adj. R 2

.673

 

.694

 

.577

 

F

31.043

 

34.075

 

34.224

 

Sig.

.000

 

.000

 

.000

 
  1. aIn model 3, constraint condition: β 4 = o 5 = 0, so the coefficient is zero, which is not shown in the equation