According to the World Health Organization, obesity has reached epidemic proportions globally. While obesity has generally been linked with chronic disease and disability, researchers argue that it may also affect wages. In other words, the body mass index (BMI) of an employee is a predictor for salary. (A person is considered overweight if his/her BMI is at least 25 and obese if BMI exceeds 30.) The accompanying data file includes salary (in $1,000s) for 30 college-educated men with their respective BMI and a dummy variable that represents 1 for a white man and 0 otherwise. Click here for the Excel Data File a. Estimate a model for Salary with BMI and White as the predictor variables. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. 9= BMI+ White b. Reestimate the model with BMI, White, and a product of BMI and White as the predictor variables. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. BMI c-1. Which of these models is the preferred model? Model 1, based on the a measure. Model 1, based on the adjusted a measure. O Model 2, based on the x2 measure. Model 2, based on the adjusted 2 measure. White+ BMI x White