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The Manager of a Human Resources Department Wishes to Predict

Question 19

Multiple Choice

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.What is the least-squares regression line for predicting the salary of male employees? A)    = 40,000 + 2,500x B)    = 40,000 + 4,000x C)    = 40,000 + 2,500x + 1,500 g D)    = 41,500 + 2,500x E)    = 41,500 + 1,500g
= 40,000 + 2,500 x + 1,500 g.What is the least-squares regression line for predicting the salary of male employees?


A)
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.What is the least-squares regression line for predicting the salary of male employees? A)    = 40,000 + 2,500x B)    = 40,000 + 4,000x C)    = 40,000 + 2,500x + 1,500 g D)    = 41,500 + 2,500x E)    = 41,500 + 1,500g
= 40,000 + 2,500x
B)
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.What is the least-squares regression line for predicting the salary of male employees? A)    = 40,000 + 2,500x B)    = 40,000 + 4,000x C)    = 40,000 + 2,500x + 1,500 g D)    = 41,500 + 2,500x E)    = 41,500 + 1,500g
= 40,000 + 4,000x
C)
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.What is the least-squares regression line for predicting the salary of male employees? A)    = 40,000 + 2,500x B)    = 40,000 + 4,000x C)    = 40,000 + 2,500x + 1,500 g D)    = 41,500 + 2,500x E)    = 41,500 + 1,500g
= 40,000 + 2,500x + 1,500 g
D)
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.What is the least-squares regression line for predicting the salary of male employees? A)    = 40,000 + 2,500x B)    = 40,000 + 4,000x C)    = 40,000 + 2,500x + 1,500 g D)    = 41,500 + 2,500x E)    = 41,500 + 1,500g
= 41,500 + 2,500x
E)
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.What is the least-squares regression line for predicting the salary of male employees? A)    = 40,000 + 2,500x B)    = 40,000 + 4,000x C)    = 40,000 + 2,500x + 1,500 g D)    = 41,500 + 2,500x E)    = 41,500 + 1,500g
= 41,500 + 1,500g

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