
Linear Regression is a simple yet powerful statistical method used to model the relationship between a dependent variable and one or more independent variables. It assumes this relationship is linear, meaning the change in the dependent variable is proportional to the change in the independent variable(s). The goal is to fit a straight line (in simple linear regression) or a hyperplane (in multiple linear regression) that best predicts the outcome.