A personnel director is interested in studying the effects which age, experience, and gender expression have on salary. Fifty employees are randomly selected and each employee's salary, age, experience, and gender expression are recorded.
Employee Data
Salary (S)
Age (Years)
Experience (Years)
Gender
Expression
49,816
38
19
Female
36,816
27
Non-Binary
43.119
22
Male
42,928
47
Female
52,506
51
17
Female
56.178
8
Male
47,984
29
10
Male
49.406
5
Male
Prev
The estimated regression equation is given by
Salary = 33,224 + 255(Age) + 746(Experience) + 6,991 (Male) + 798(Female)
where (male) is 1, if the employee's gender expression is male and 0, if the employee's gender expression is not male, and (female) is 1, if the employee's gender expression is female and 0, if the employee's gender expression is not female.
Predict the salary of a male employee who is 31 years old with 8 years of experience. Round your answer to the nearest whole number.
