Multiple regression is a statistical technique used to understand the relationship between one dependent variable and two or more independent variables. It helps researchers determine how different factors influence an outcome, allowing for predictions and insights based on the data. In a multiple regression analysis, each independent variable contributes to the overall prediction of the dependent variable. This method is commonly used in various fields, such as economics, psychology, and health sciences, to analyze complex data and identify significant predictors that affect the outcome of interest.