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The Manager of a Human Resources Department Wishes to Predict

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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: 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:   = 40,000 + 2,500 x + 1,500 g +1,000 xg.Interpret the value of the coefficient of gender (g) . A) We predict that a woman with 0 years of experience will make $1,500 more than a man with 0 years of experience. B) We predict that a man with 0 years of experience will make $1,000 more than a woman with 0 years of experience. C) We predict that a man with 0 years of experience will make $2,500 more than a woman with 0 years of experience. D) We predict that a man with 0 years of experience will make $1,500 more than a woman with 0 years of experience. E) We predict that a woman with 0 years of experience will make $2,500 more than a man with 0 years of experience.
= 40,000 + 2,500 x + 1,500 g +1,000 xg.Interpret the value of the coefficient of gender (g) .


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