Apply your logistic regression model to the data in Applicants.csv to generate predictions of $$Good Risk$$ for each loan applicant. If your glm model is stored in an R object called $$LoanModel$,$ for example, and your Applicants.csv data is in a frame called $$Appl$,$ then you would issue a command that looks like this: LoanPredictions $<-$ predict$($LoanModel$,$ Appl, type$=$response$).$ Document the application of your model to the Applications data in y