Mr. Lester is offering extra credit on his statistics exam. All students have to do is state how many hours they spent studying for the exam. After he finished grading, Mr. Lester looked at how self-reported studying times were related to exam scores.

He recorded the number of hours each student had reported studying, x, and his or her exam score (out of 100), y.
The least squares regression line of this data set is:
y= 5.241x + 37.803

For each additional hour a student had reported studying, the least squares regression line predicts that he or she would score _____ points higher on the exam

5.241 points higher on the exam.