Need help in sas jmp assignment. Exercise 4: Use the TitanicPassengers-BBM.jmp data set for this exercise. Fit a logistic regression model, but this time include two-way interactions between Passenger Class, Age and Sex. First, add all predictors to the model. Then, highlight these three variables in the "Select Columns" panel and select Macros > Factorial to degree. Interactions are represented like this: Passenger Class*Age. (Hint: To add interactions one at a time, select two variables in the "Select Columns" panel and choose Cross.) Are any of the two-way interactions significant? Use the Effect Summary table to reduce the model one term at a time. Note: If a term has a "^" next to the p-value in the Effect Summary table, it is involved in an interaction and should not be removed. Use the Prediction Profiler to interpret the model. In particular, interpret the interaction between Passenger Class and Age. Calculate the survival probability of each passenger and generate the confusion matrix of the classification result. What is the misclassification rate? attached is datasets https://www.dropbox.com/s/ffz9uqnma8umyei/titanicpassengers-bbm.jmp?dl=0