Фрагмент из книги:
Linear regression is based on a model where the expected value of the dependent variable is the weighted sum of the explanatory variables and an intercept. This model is appropriate when the dependent variable is a continuous quantity like birth weight or penguin weight, but not when the dependent variable is discrete quantity like a count or a category.








