The Manager of a Human Resources Department Wishes to Predict $\text { Salary } = 40,000 + 2,500 \mathrm { x } + 1,500 \mathrm {~g} + 1,000 \mathrm { xg }$

The manager of a human resources department wishes to predict the salary of an employee based on years of experience,x,and gender,g.(g = 1 for a male employee and 0 for a female employee.) A random sample of 50 employees results in the following least-squares regression equation: $\text { Salary } = 40,000 + 2,500 \mathrm { x } + 1,500 \mathrm {~g} + 1,000 \mathrm { xg }$ What is the least-squares regression line for predicting the salary of female employees?

A) $\text { Salary }$ = 40,000 + 4,000x
B) $\text { Salary }$ = 41,500 + 1,500g
C) $\text { Salary }$ = 40,000 + 2,500x
D) $\text { Salary }$ = 40,000 + 3,500x
E) $\text { Salary }$ = 41,500 + 3,500x