Multiple Linear Regression (MLR)

A statistical method known as multiple linear regression (MLR), usually referred to as multiple regression, employs a number of explanatory variables to forecast the results of a response variable. Multiple linear regression attempts to represent the linear relationship between the independent explanatory variables and the dependent response variables. Since multiple regression takes into account several explanatory variables, it can be thought of as an extension of ordinary least-squares (OLS) regression.