Consider the following two regression models estimated by OLS:
Model A: $\hat{Y}_i = 2.32 - 4.72X_{1i}$, $i = 1, ..., N$,
Model B: $\hat{Y}_i = 8.22 - 3.67X_{2i} + 9.23X_{3i}$, $i = 1, ..., N$,
where the number of observations is the same and the same data are used for the variable Y in both models. Letting $R_A^2$ and $R_B^2$ represent $R^2$ for Models A and B, respectively, we know that:
$R_A^2 > R_B^2$
$R_A^2 < R_B^2$
$R_A^2 = R_B^2$
We don't have sufficient information to determine the relative values of $R_A^2$ and $R_B^2$