MLR, or Multiple Linear Regression, is a statistical modeling technique used to analyze the relationship between a dependent variable and multiple independent variables. It is a widely used method in various fields, including economics, social sciences, and business analytics. MLR aims to find the best-fitting linear equation that predicts the dependent variable based on the independent variables. It considers the impact of each independent variable while accounting for their mutual influence. MLR estimates the coefficients of the equation using the method of least squares, minimizing the sum of squared differences between the observed and predicted values. This allows researchers to better understand the relationships between variables and make accurate predictions.