please help.

4. (20 points) An Audi car dealership wants to assess the likelihood that an applicant for a new car loan will pay off the loan in full. You are to construct a logistic regression model based upon data (AudiCarLoan. JMP) from the dealer using the two variables status and credit score. Status is defined as either 1 if the loan was paid in full or 0 if the loan defaulted (not paid in full). The population for the model are individuals that had score between 650 and 690, which are known as the "Problem Credit Score" category. What is the estimated logistic model? Interpret the estimate for credit score? According to the estimated model, what would be the estimated probability for an applicant with a score of 663 will pay off the loan in full? According to the estimated model, what would be the estimated probability for an applicant with a score of 682 will pay off the loan in full? Describe the confusion matrix for the model created, using the data provided