Find the slope of the line of fit and explain its meaning in the context of the data. 15; for each additional hour a student studies, their grade is predicted to increase by 15% on the test 30; for each additional hour a student studies, their grade is predicted to increase by 30% on the test 40; a student who studies for 0 hours is predicted to earn 40% on the test 70; a student who studies for 0 hours is predicted to earn 70% on the test