B3. In this next exercise, we will use five predictors to predict the probability of good health (health) in a standard logistic regression: The predictors include smoking status (smoker)

and four additional predictors, which include the woman’s age (age), whether or not she is currently employed

(worknow), her body mass index (bmi), and how much stress she has been experiencing (stressed). In the opening logistic regression dialog box (Analyze ➜ Regression ➜

Binary Logistic), move health into the Dependent slot, and move the five predictors into the slot for Covariates. Click the Options pushbutton and in the next dialog box select Hosmer-Lemeshow goodness of fit, Casewise listing of residuals, and CI for Exp(B), 95%. Then click Continue and OK to run the analysis and answer the following questions:

(a) In the null model, what percent of the cases were?