Question 1 (1 point) We will predict 8 randomly selected students test scores based on the number of hours they studied before the test. Use a default alpha level of 5% and the output below te answer the questions: SUMMARY OUTPUT _ . _ _ , Regression Statistics Multiple R R Square 0.935 Standard Error 2116 Observations 8 ANOVA 7 _ _ _ . _ . dr es _ _' MS Regression 1 _ __ :38'4 334 k Residual - e - 4.479 Total 7 410.675} _ Coemciedts Standard Error .r Star 7 Intercept 71 .875 1: .497 _ 4.81 @218 Time 'Spent on Studying 4 0,432 . . What is the equation for the line of best fit?- 0 Predicted Hours = 71.375 + 4 * Grade 0 Predicted Grade = 4 + 71.375 * Hours 0 Predicted Grade = 71.875 4- 4 " Hours 0 Predicted Hours = 4 + 71.875 * Grade