The R-square of a regression equation of a dependent variable (Y) and a set of independent variables represents: a. the % forecasted values of the regression model that is above the actual value. b. the % of total residuals of the forecasting mode c. the % total error of the forecasting model. d. the % movements in Y that can be explained by the forecasting model