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.