After running a logistic linear regression model in R where logit(p) = b0 + b1*student, you find that your coefficient estimate for your 'non-students' (intercept) is equal to -4.732 and your coefficient estimate for 'student' is equal to 1.748. Calculate the odds for non-students and students.

A) e^(-4.732) , e^(-4.732+1.748)

B) -4.732, (-4.732+1.748)

C) -4.732, 1.748

D) log(-4.732), log(1.748)

*no more info or graph were provided