Regression-analysis-question-statistics-homework-help

The following is the result of multiple regression analysis to predict salary.

Based on the following SPSS result table, please interpret the effects of education, years of services, and gender (female dummy) on the salary level.

Interpret the result of the female dummy coefficient.

If you believe that men were paid more than women, what would you conclude after conducting this analysis?

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.810a

.650

.530

11334.16409

a. Predictors: (Constant), Female, YOS, EDUC

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

-35400

20250

-1.847

.102

EDUC

4200

1230

.806

3.389

.010

YOS

750

540

.307

1.477

.178

Female

-4300

7000

.278

1.181

.021

a. Dependent Variable: SALARY

 
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