I am trying to fit a regression model to predict the revenue generated from the sales of a particular product. I have found out seasonality both in the outcome(sales revenue) as well as in the input variables.
The 'Seasonally Adjusted Annual Rate' and the 'Non Seasonally Adjusted' version of each of the input variables are available.
- What version should be used to training the model ?
- Should 'month' be included as a categorical variable as a means to capture seasonality ?
- Should the seasonality be removed from revenue if the Seasonally Adjusted version of inputs are used?