In the modeling fitting section of our lecture, when using forward and stepwise procedures to select suitable independent variables, we initially chose the two variables with the highest correlation: "miles" and "gasoline consumption." image.png However, the results of the model showed that the p-value for "gasoline consumption" was higher than 0.05, indicating that the linear correlation of gasoline consumption in this model is not statistically significant. image.png Let's discuss with your classmates why the highly correlated variable "gasoline consumption" does not have any linear impact on the dependent variable "times" in the model