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

question 15

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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:  Salary =40,000+2,500x+1,500 g+1,000xg\text { Salary } = 40,000 + 2,500 \mathrm { x } + 1,500 \mathrm {~g} + 1,000 \mathrm { xg } Interpret the value of the coefficient of the interaction term xg.


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