The Matrix Algebra of Linear Regression

For most, simple linear regression is a common starting point for understanding model-based estimation and model comparison. Regardless of whether you’re taking an introductory statistics or data science course, you can bet your bottom dollar that linear regression will crop up at some point. And there’s a good reason for it. Simple linear regression provides a natural extension of simple descriptive statistics by modeling the response variable as a linear combination of only a single predictor. This simplicity not only facilitates the interpretation of model parameters but also makes estimation via ordinary least squares (OLS) easier to grasp. <a href="https://towardsdatascience.com/the-matrix-algebra-of-linear-regression-6fb433f522d5">Click Here</a>