A regression model is a statistical tool used to understand the relationship between a dependent variable and one or more independent variables. It helps predict the value of the dependent variable based on the values of the independent variables. For example, a regression model can be used to predict a person's weight based on their height and age. There are different types of regression models, such as linear regression and multiple regression. Linear regression examines the relationship between two variables, while multiple regression involves multiple independent variables. These models are widely used in fields like economics, biology, and social sciences for data analysis and forecasting.