$R^2$ and adjusted $R^2$ from the overall $F$-statistic

Consider the multiple linear regression model $y_i=\beta_0+\beta_1x_{1i}+\cdots+\beta_8x_{8i}+\epsilon_i$, $i=1,2,\dots,29$, where $\epsilon_1,\epsilon_2,\dots,\epsilon_{29}$ are independent and identically normal distributed with mean $0$ and variance $\sigma^2$. Suppose the model is fitted using the method of least squares. If the calculated value of the $F$-statistic for testing the significance of regression is $2.50$, then the possible values of $R^2$ and Adjusted $R^2$ are respectively