Suppose the entering freshmen at a certain college have a mean combined SAT score of 1230, with a standard deviation of 129. In the first semester, these students attained a mean GPA of 2.64, with a standard deviation of 0.53. A scatterplot showed the association to be reasonably linear, and the correlation between SAT score and GPA was 0.48. Complete parts a through f below. a) Write the equation of the regression line. GPĀ =DScore (Round to five decimal places as needed.) b) Explain what the y-intercept of the regression line indicates. O A. For each additional point on the SAT, the model predicts the freshman's GPA will increase by a value equal to the y-intercept of the regression line. O B. For each additional point of GPA, the model predicts the freshman's SAT score will increase by a value equal to the y-intercept of the regression line. OC. The y-intercept represents the predicted freshman's SAT score if they have a 0 GPA. It has no practical interpretation. O D. The y-intercept represents the predicted freshman's GPA if they score a 0 on the SAT. It has no practical interpretation. c) Interpret the slope of the regression line. O A. For each increase on the SAT score equal to the slope, the model predicts the freshman's GPA will increase by 1. O B. The slope represents the predicted freshman's GPA if they score a 0 on the SAT. It has no practical interpretation. OC. For each additional point on the SAT, the model predicts the freshman's GPA will increase by a value equal to the slope of the regression line. O D. For each additional noint of GPA the model nredicts tha freshman's SAT score will increase hv a valuA Anual to the slone of the rearession line Click to select your answer(s).