(1 pt) In a large class, there were 230 students who wrote both the midterm and the final exam. The standard deviation of the midterm grades was 11, and that of the final exam was 16. The correlation between the grades on the midterm and the final was 0.66. Based on the least squares regression line fitted to the data of the 230 students, if a student scored 24 points below the mean on the midterm, then how many points below the mean on the final would you predict her final exam grade to be?
So I have:
SD for midterm $= 11$
SD for final $= 16$
$r = 0.66$
I tried approaching this problem but I have no clue how to do it. I used the linear regression model, but since the means aren't given, I can't use it to find an intercept; I can only get a slope.