9. Multiple Linear Regression 9.1. Preliminaries As before, we need to start by: Loading the Pandas and Statsmodels libraries Reading the data from a CSV file Fixing the column names using Panda’s ...

However, PCA differs from linear regression in that PCA minimizes the perpendicular distance between a data point and the principal component, whereas linear regression minimizes the distance ...

First, multiple linear regression models are considered and the design matrices are allowed to be different. Second, the predictor variables are either unconstrained or constrained to finite intervals ...