Read the following description of a data set.

Question

Mitch is a kinesiologist and is interested in how different athletic abilities are related. He selected several subjects with similar athletic backgrounds and compared their abilities in the long jump and the high jump.
He measured how far, x, and how high, y, each subject could jump (in meters).
The least squares regression line of this data set is:
y=0.225x+0.621
Complete the following sentence:
For each additional meter in a person's long jump, the least squares regression line predicts that he or she can clear an extra
meters in the high jump.

Answer 1

For each additional meter in a person's long jump, the least squares regression line predicts that he or she can clear an extra 0.225 meters in the high jump.