just part a please.

A survey of student athletes that asked questions about gambling behavior classified students according to the National Collegiate Athletic Association (NCAA) division. For male student athletes, the percent who reported wa ering on collegiate sports are given here along with the numbers of respondents in each division: Division 1 Division 2 Division 3 Gambling 417 245 290 No Gambling 83 63 86 (Data in StatPowers) Use two indicator (dummy) variables to code the explanatory variable NCAA division. Let 'indicatorZ' be 1 for division II, and 0 otherwise, let 'indicator3' be 1 for division I" and 0 otherwise. With this coding, the logisitic regression model will use the intercept for Division I, the intercept plus the coefficient of the first indicator variable for Division II, and the intercept plus the coefficient of the second indicator variable for Division III. Include at least 3 decimals of precision (a) Run the multiple logistic regression. Give the coefficient estimates here: log-odds(gambling) = + 'indicator2 + [:'indicatorB (b) What are the log-odds for gambling in Division I? :] (c) What are the log-odds for gambling in Division II? [: (d) What are the log-odds for gambling in Division III? [