Linear Regression
Linear regression is a foundational technique that models the relationship between a dependent variable and one or more independent variables using a linear equation. Despite its simplicity, it remains powerful for prediction and analysis.
Example: Drawing a line of best fit through scattered data points—for instance, predicting house prices based on square footage. Each coefficient indicates how much the output changes per unit increase, offering clear interpretability.