A statistics professor investigated some of the factors that affect an individual student's final grade in her course. She proposed the multiple regression model where y is the final grade (out of 100 points), x1 is the number of lectures skipped, x2 is the number of late assignments, and x3 is the midterm exam score (out of 100). Her estimated regression equation is: Calculate the predicted grade for a student who skipped 2 lectures, turned 3 assignments late and received a grade of 82 in the midterm.