Respuesta :
Answer:
[tex]R^{2}=0.7744[/tex]
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, [tex]R^{2}[/tex] is the coefficient of determination for a given data set. It is a measure of the predictive power of a linear model.
Given r, [tex]R^{2}[/tex] is simply the square of r;
in this case we are given, r = 0.88. Therefore, [tex]R^{2}=0.88^{2}\\\\R^{2}=0.7744[/tex]
