This article introduces readers to the concept of R-squared and explores its importance, advantages, and limitations in analyzing regression models. Readers will learn how R-squared can be used to evaluate the accuracy of a model, identify outliers and influential observations, and interpret correlations vs causations. This beginner’s guide provides a step-by-step guide on how to calculate and interpret R-squared and real-world examples of its application.