You are asked to develop a multiple regression model that indicates the relationship between a person's behavioral characteristics and the daily cost of food (daily cost). The predictor variables to be used are subject's limiting weight (sr did lm wt), subject being a smoker (smoker), subject's number of hours in front of a TV or computer screen (screen hours), subject's being sedentary versus active (activity level: note that you will need to recode to a dummy variable), percent of subject's calories from a fast-food restaurant (pff), percent of subject's calories eaten at home (P ate at Home), whether the subject is a college graduate (col grad), and household income (hh income est). Also, the model should include a dummy variable to indicate the effect of first versus second interview.
a. Estimate the model using the basic specification variables indicated here.
b. Estimate the model again, but in this case include a variable that adjusts for immigrant versus native person (immigrant).
c. Estimate the model again but in this case include a variable that adjusts for single status versus a person with a partner (single).
d. Estimate the model again, but in this case include a variable that adjusts for participation in the food stamp program (fsp).