Assumptions of linear regression

With implementations in R and Python

Assumptions of linear regression — Photo by Denise Chan on Unsplash

Linear regression is a statistical model that allows to explain a dependent variable y based on variation in one or multiple independent variables (denoted x). It does this based on linear relationships between the independent and dependent variables.