I need help with this problem. I'm struggling to answer them. Please help.

L2.) A college's job placement ofce collected data about students' GPAs and the salaries they earned in their rst job after graduation. The mean GPA was 3.1 with a standard deviation of 0.4. Starting salaries had a mean of $49,000 with a SD of $8,300. The correlation between the two variables was r = 0.65. The association appears to be linear in the scatterplot. (A) Write an equation for the regression model that can predict starting salary based on GPAin the Y = be + b1X form, where 131 = r a: (1) and be = 7 bli'. (B) Interpret the slope of the regression line in the context of this problem (in terms of the pertinent variables) (C) Use this model to predict an estimate of a recent graduate's salary whose GPA was 3.7. (D) Calculate the coefcient of determination (R2) and interpret its meaning