A If $x=1$ , There Is a Perfect Direct Line Ar Relation Between

A. If $x=1$ , there is a perfect direct line ar relation between the dependent $Y$ variable and the independent $X$ variable.
B. $\quad R^{2}$ is the proportion of total variation in the independent variables that is explained by the dependent variable.
C. $\mathrm{R}^{2}=75$ when a given regression model is unable to explain $25 \%$ of the variation in the dependent $Y$ variable.
D. When a simple regression model is unable to explain $19 \%$ of demand variation, the coefficient of correlation equals $90 \%$ .
E. In a simple regression model with only one independent variable, the correlation coefficient falls in the range between 1 and 0