With the help of her classmates, she managed to collect data on over 250 subjects regarding their income, age, current health status, gender, CESD score and current drinking status. SexF (1 = female, 0 = male), drink (1 for a heavy drinker and 0 for not), CESD which is a continuous measure of depression on a scale of 0-60 with higher being worse, income in thousands of dollars, age in years and health status which is a four level variable with 0 = Excellent, 1 = Good, 2 =Fair and 3 = Poor. Gina decided to fit a logistic regression with DRINK as the outcome, and CESD score, SEX, and SEXbyCESD (interaction between CESD and SEX) as the predictors