Regression is a supervised learning method used to model and analyze the relationship between one or more independent variables and a continuous dependent variable. It predicts numerical outcomes, estimates trends, and minimizes the difference between predicted and actual values.
A company wants to predict the salary of employees based on their years of experience. Using regression, the model can estimate the expected salary for an employee with, say, 5 years of experience.