Linear Regression is a fundamental statistical method used to model the relationship between a dependent variable and one or more independent variables. This guide aims to demystify the concept, making it accessible for beginners.
We will delve into the mathematical principles that underpin Linear Regression, including the least squares method and how it minimizes the error between predicted and actual values.
Additionally, practical examples will illustrate how Linear Regression can be applied in various fields, from economics to machine learning, providing readers with a solid foundation to build upon.