A multiple regression analysis investigates the relationship between y = college GPA and several explanatory variables, using a random sample of 195 students at Slippery Rock University. First, high school GPA and total SAT score are entered into the model. The sum of squared errors is SSE = 20. Next, parents’ education and parents’ income are added, to determine if they have an effect, controlling for high school GPA and SAT. For this expanded model, SSE = 19. Test whether this complete model is significantly better than the one containing only high school GPA and SAT. Report and interpret the P-value.