Answer:
19% of the total variation in the y-values is not explained by the regression line
Step-by-step explanation:
The correlation coefficient, r, is a measure of the degree of association between two variables. It gives information on the direction and strength of the relationship.
On the other hand, [tex]R^{2}[/tex] is the coefficient of determination and is a measure of the percent of the total variation in the y-values explained by the regression line.
[tex]R^{2}[/tex] is simply the square of r;
[tex]R^{2}=r^{2}=(-0.9)^{2}=0.81[/tex]
This implies that 81% of the total variation in the y-values is explained by the regression line. Therefore, only 19% is not explained.
