In Multiple Regression, the Multiple R-Square (Also Known as the Coefficient

In multiple regression, the multiple R-square (also known as the coefficient of determination) can be interpreted as:

A) reflecting the degree of association between the dependent variable and the independent variables
B) the percentage of total variation in Y explained by the independent variables
C) a measure of the accuracy of the prediction, i.e., the range of error around forecasting the dependent variable
D) all the independent variables are highly significant in forecasting the dependent variable