Making Predictions from a Least-Squares Regression Line
Question 4 of 10 • CA-Statistics and Probability A
A statistics teacher was interested in the relationship between the number of days students waited to start a project and the score that project received (out of 100 points). Information was collected on several students and was used to obtain the regression equation ŷ = –3.64x + 96.5, where x represents the number of procrastination days and ŷ is the predicted grade. Which statement best describes the meaning of the y-intercept of the regression line?
Answer
A
When the grade is 0, the predicted number of procrastination days is 0.
B
When the grade is 0, the predicted number of procrastination days is 96.5.
C
When the number of procrastination days is 0, the predicted grade is 3.64 points.
D
When the number of procrastination days is 0, the predicted grade is 96.5 points.