Look at the R-squared and Adjusted R-squared values. Higher values (closer to 1) indicate a better fit. Also, check the p-values of the coefficients; values less than 0.05 generally indicate significance. Don’t forget to validate the model’s assumptions like normality, multicollinearity, and homoscedasticity.