Regression is a data mining technique used to predict continuous values like prices or salaries based on other variables. It helps in business, finance, and environmental modeling. Unlike classification, which predicts discrete values, regression is for continuous outputs. By analyzing relationships between different variables, regression shows how one variable changes with another. Key terms include dependent and independent variables, outliers, and underfitting/overfitting. This paper discusses regression concepts, techniques, and real-world applications to clarify its importance.