Answer:
Step-by-step explanation:
r represents the correlation coefficient between two sets of data. It is a measure of the degree of association between the two sets of data and gives insight into the strength and direction of the relationship.
On the other hand, is the coefficient of determination for a given data set. It is a measure of the predictive power of a linear model.
Given r, is simply the square of r;
in this case we are given, r = 0.88. Therefore,