Question Suppose you are interested in studying factors thought to be associated with grade point average (GPA). Data were collected for a total of n 63 undergraduates at SBU. The population regression model hypothesized is E(Y) = [50 + [51311 + [32x2 where: y = grade point average (GPA) x1 (exercise) = number of hours of exercise per week x2 (gender) = 1 for female student, 0 for male student Suppose the following SPSS results are obtained: Model Summary Predictors: (Constant) exercise, gender Coefficients Model Unstandardized 95% Confidence Coefficients Interval for B B Std. Error T Lower Upper Bound Bound (Constant) 3.055 exercise 0.054 0.009 6.000 0.036 0.072 gender 0.219 0.065 3.369 0.089 0.349 a. Dependent Variable: GPA 1. Write the least squares multiple regression equation. 2. Interpret the value of the intercept of the regression line in the context of the problem. 3. Predict the GPA of a female student who exercises 5 hours per week. Show your work!) 4. Interpret the value of the coefficient of determination in the context of the problem. 5. Provide the correct interpretation for the estimated coefficient for the variable gender in the context of the problem. 6. Interpret the beta coefficient for x1. 7. Interpret the 95% CI for x1. 8. Interpret the 95% CI for x2