Question

In your own words, discuss (in less than one page) the differences between Multiple Regression Analysis and Multiple Discriminant Analysis.

Answer 1

Multiple regression analysis is a method for studying the relationship between a single dependent variable and several independent variables.

Multiple discriminant analysis is a multivariate technique used to classify a given set of objects, individuals or entities into two or more groups or categories based on a given set of predetermined variables relating to their characteristics, types, or any other attributes. This technique can also be used to identify which variables contribute to making of the classification.

The main difference between these two techniques is that regression analysis deals with a continuous dependent variable, while discriminant analysis must have a discrete dependent variable.