The numerical value of the coefficient of determination r 2
       |       |  | a. is the proportion of the  variation in the independent variable x that is explained  by the best-fit linear equation. |  |  | 
    |       |  | b. is the proportion of the  variation in the dependent variable y that is explained by  the best-fit linear equation. |  |  | 
    |       |  | c. indicates the direction of the  relationship between the dependent variable y and the  independent variable x. |  |  | 
    |       |  | d. Both \"is the proportion of the  variation in the dependent variable y that is explained by  the best-fit linear equation\" AND \"is the proportion of the  variation in the independent variable x that is explained  by the best-fit linear equation\" are correct. |  |  | 
    |       |  | e. is the proportion of the  variation in the dependent variable y that is explained by  the best-fit linear equation,\" AND \"is the proportion of the  variation in the independent variable x that is explained  by the best-fit linear equation,\" AND \"indicates the direction of  the relationship between the dependent variable y and the  independent variable x\" are all correct. |  | 
    
Solution: Option E
 Explanation: The numerical value of the coefficient of determination r^2 is the proportion of the dependent variable variance which is is predictable from the independent variable. It provides a relationship on how well the variation of one variable provides an explanation on the other variation, and corresponds to the variation percentage explained by a best-fit regression line which is computed for the data