Question

Did we improve the model by adding these variables? Yes or No? Provide a brief explanation.

Answer 1

Answer:

Adding more terms to the multiple regression inherently improves the fit. It gives a new term for the model to use to fit the data, and a new coefficient that it can vary to force a better fit. ... Adding more and more variables makes it more and more likely that you will overfit your model to the training data.