A binary logistic regression was fitted using a sample of employees of a large corporation to investigate if the employee’s monthly salary (Salary) predicts whether (1) or not (0) the employee has a 401(k) retirement plan (401K). P(401K) = exp(−6. 13 +. 000881 Salary) 1 + exp(−6. 13 +. 000881 Salary)


Use the fitted equation to predict the probability of a 401(k) plan for an employee whose monthly salary is


(a) $3,000. (Round your answer to 6 decimal places. ) P(401k) 0. 059491 0. 059491 Incorrect

(b) $5,000. (Round your answer to 6 decimal places. ) P(401k) 0. 262193 0. 262193 Incorrect

(c) $8,000. (Round your answer to 6 decimal places. ) P(401k) 0. 770157 0. 770157 Incorrect