Beyond the Fit: Critical Assumptions of Linear Regression Models

Do you think you are done with your linear regression model? Not so fast…

Linear regression is a widely used statistical method for predicting a dependent variable based on one or more independent variables.

Even though it’s a breeze to set up and run a linear regression model (in both R and Python), it’s imperative to remember that the model’s validity and reliability are contingent on meeting several key assumptions.

Let’s talk about them in this post 👇