What is Multiple Regression?
Multiple regression is a statistical method for examining the relationship between numerous independent variables and a single dependent variable. It analyses and aims to predict the value of a single dependent variable by using known independent variables. Each predictor value is weighed, with the weights indicating how much of an impact it has on the overall forecast.
Why is it essential?
Researchers can use multiple regression analysis to assess the strength of the relationship between an outcome (the dependent variable) and several predictor variables and the importance of each predictor to the relationship, often with the effect of other predictors statistically eliminated.