Multiple Regression Analysis is a statistical technique used to understand the relationship between one dependent variable and two or more independent variables. It helps researchers determine how various factors influence an outcome, allowing for predictions and insights into complex data sets. In this analysis, each independent variable contributes to the prediction of the dependent variable, and the strength of these relationships is measured using coefficients. This method is widely used in fields like economics, social sciences, and healthcare to inform decision-making and policy development based on data-driven evidence.