Hypothetical scenario: I have a training dataset and testing dataset with the prices, location (three dummy variables), color and size (in square feet) for a list of houses and I am trying to predict price from other variables.  I use backwards elimination to create a linear model, and my final model includes the independent variables, location and size. What do I now do with the testing dataset to get an accurate model?
How to test (and tweak) a linear model?
predictive modeling;regression;linear regression;model selection