can you all please help me to solve this question?

thanks in advance

A logistic regression model was built to predict the success to graduate from a MBA program for students who are currently applying based on their GMAT and GPA. Success is coded as 1 and failure 0. The google sheet logistic regression output is below, which predicts the probability of being 1. Coefficients Standard Error P-value Odd Ratio Lower 95% Upper 95% Intercept-121.9521989 59.20119504 0.0394021951 0 0.002685230304 GPA 8.052816249 5.019529214 0.0476485762 3142.6329570.1677500457 58874153.26 GMAT b.1572909725 0.075959082020.03838376102 1.1703361 1.008449404 1.358210518 a. What is the logistic regression equation based on the output where the left hand side of the equation is the predicted probability of success? b. One of the admission criteria is the predicted probability of success needs to be higher than 60%. Among the following applicants, who will not be accepted based on this criteria alone? c. For applicants who got admitted, 15% of them didn't complete the degree. And Graduates from this program in the past on average increased their salary by 10K every year for the first three years after graduation, (i.e., +10k year 1, +20k year 2, +30k year 3 relative to the salary before obtaining the degree). If we only consider the incremental earning potentials for the first three years and assume time value of money is negligible, what is the fair tuition for this program