You are interested in examining

You are interested in examining how various sociodemographic factors are associated with BMI among a sample of 1,000 50+ year olds. You want to estimate a regression model that considers the independent associations of age, gender, years of education, and marital status with BMI. Use the following regression table: BMI | Coefficient P value Age -0.118 0.000 Years Edu -.192 0.000 Gender (1=woman) -0.034 0.765 Marital Status (1=married) -0.014 0.819 intercept 38.996 0.000 a. Write out the regression model equation. You should replace Y and all X's with the appropriate variable name. (3pts) b. Write out the main effects regression model equation from part a by replacing values for the beta coefficients. (3pts) c. Identify which predictor variable(s) is/are statistically significantly associated with BMI. Explain why. (3pts) d. Estimate the BMI of a married 65 year old woman who has 12 years of education. (3pts)