Abinary 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