Building the Model - II in Multiple Linear Regression with Python

The bottom-up approach was just to give you an idea of how the parameters change when the number of variables is increased. More generally, you first build a model using all  and then try to improve the model by dropping some of them.

Let’s now build a model with all the available variables.

In the following video, you will use two main parameters to judge the insignificant variables, the p-values and the VIFs.