Given the following models with their respective p-value for their coefficient, $R^2$ and $F$-statistics, I was asked to determine which model will give the best prediction based on the information given below.
From what I understand, p-value for each coefficient refers to whether to reject the null hypothesis that the coefficient is zero. Since $x_2$ has p-value very small, it is statistically significant, meaning that $x_2$ should be use in a predictive model.
On the other hand, I notice that all $F$-statistics have very small p-value. But I am not sure what does it implies.