Regression in statistics is a fundamental analytical method used to examine and quantify the relationship between one dependent variable and one or more independent variables. The primary purpose of regression analysis is to understand how the value of a dependent variable changes when one or more independent variables are varied, while other influencing factors are held constant. It is widely used in fields such as economics, business, social sciences, medicine, engineering, and machine learning for prediction, forecasting, and decision-making.