Use a = 0.05 for all significance tests. Table below shows salaries for 25 employees in the advertising department at Apple Tree, Ltd. As an initial step in a salary equity study, the human resources consultant performed a linear regression using the proposed model Salary = Bo+ B. Male + B2 Exper+B3 Ovr50 + BAMBA. Exper is the employee's experience in years. Salary is in thousands of dollars. Binaries are used for gender (Male = 0,1 -- 1 if employee is male), age (Ovr50 = 0,1 - 1 if employee's age is over 50), and MBA degree (MBA = 0,1 -- 1 if employee has an MBA degree). Sales of Advertising department Employees at Apple Tree, Ltd. Employee Salary Male Exper Ovr50 MBA Mary 28.6 0 0 0 1 Frieda 53.3 0 4 0 1 Alicia 73.8 0 12 0 0 Tom 26.0 1 0 0 0 Nicole 77.5 0 19 0 Xihong 95.1 1 17 0 Ellen 34.3 0 1 0 1 Bob 63.5 1 9 0 Vivian 96.4 0 19 0 Cecil 122.9 1 31 0 Barry 63.8 1 12 0 0 Jaime 111.1 1 29 1 0 Wanda 82.5 0 12 0 1 Sam 80.4 1 19 1 0 Saundra 69.3 0 10 0 0 Pete 52.8 1 8 0 0 Steve 54.0 1 2 1 Juan 58.7 1 11 0 0 Dick 72.3 1 14 0 0 Lee 88.6 1 21 0 0 Judd 60.2 1 10 0 0 Sunil 61.0 1 7 0 0 Marcia 75.8 0 18 0 0 Vivian 79.8 0 19 0 0 70.2 1 12 0 Igor What would the values of the following variables be for a 35 year old female employee who has an MBA degree? Variable: Value: Male [Select]