## Elementary Statistics (12th Edition)

The adjusted $R^2$ values for the best 1 and best 2 predictors regression equation are really similar, hence it is reasonable to us the regression equation with only 1 predictor variable, hence: CITY=-3.15+0.89HWY. HWY=36, hence $CITY=-3.15+0.89HWY=-3.15+0.89\cdot 36=26.334.$ This is likely to be a good estimate because the P-value is really small, whereas the adjusted $R^2$ value is large.