\f(e) Explain why this new model may not be the best way to account for seasonality. (Hint 1: What does the slope of Month mean? Hint 2: Suppose that you believe sales generally increase from January to March, and then decline from July to October. Is it possible to choose a slope for Month that would allow you to model this?) To allow the model to account for seasonality more generally, you consider converting Month to a factor or categorical variable. Run the commands below in R, which will create a new factor variable (MonthFactor), and run the linear regression: elantra. df$MonthFactor = as. factor (elantra. df$Month) elantra. Im. 3 = Im(Sales ~ Unemployment + Queries + CPI . Energy + CPI . All + MonthFactor, data = elantra. df) summary (elantra. Im. 3) (f) Interpret the intercept of this model. (g) Interpret the slope of MonthFactor7. (h) Is this a better model than the one in parts (a) - (e) (elantra. Im. 1)? Explain your