Subset the data to include only those individuals who lived in an urban area. Develop a decision tree model to predict an individual’s body mass index (BMI) or whether an individual is going to be overweight or not using predictor variables such as sex, number of years of education, parents’ years of education, self-esteem scale, and whether the person is outgoing as a kid and/or adult.