Multiple linear regression

We have trained and evaluated a model to predict the price of a pizza. While you are eager to demonstrate the pizza-price predictor to your friends and co-workers, you are concerned by the model's imperfect r-squared score and the embarrassment its predictions could cause you. How can we improve the model?

Recalling your personal pizza-eating experience, you might have some intuitions about the other attributes of a pizza that are related to its price. For instance, the price often depends on the number of toppings on the pizza. Fortunately, your pizza journal describes toppings in detail; let's add the number of toppings to our training data as a second explanatory variable. We cannot proceed with simple linear regression, ...

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