(a) Step wise logistic regression model: variables were considered significant risk factors if they were found significant on step one and if they remained significant when tested against all other significant variables in the model onstep two. All variables found significant on step 1 remained significant at step 2. (b) Model accounts for 48.3% of the variance. Nagelkerke square = .483. (c) Homer-Lemeshow goodness of fit test ( = 9.628, df = 8, ).