Multivariate Analysis - Meaning & Definition

Published in Statistics by MBA Skool Team

What is Multivariate Analysis ?

Multivariate Analysis uses statistical techniques which allow us to focus and analyze more than 2 statistical variables at once.  It is a collection of methods used when several measurements are made on an object in different samples.  

The measurements are referred to as variables and the objects are called units. Multivariate Analysis helps in summarizing data and reducing the chances of spurious results. Two main multivariate analysis methods are:

  • Dependence Analysis – It is used in predicting the dependency among variables. Eg: Multiple Regression
  • Interdependence Analysis – It is used in analyzing the relationships among variables or objects where none of them are dependent. Eg : Factor Analysis

Examples of Multivariate Data:




Grades in Science, Mathematics, English, Physics etc


Expenditures under salary, advertising, raw materials etc


Multivariate Analysis is generally used in capability based design, analyzing of concepts in changing scenarios, analyzing alternatives to fulfill customer needs and in identifying critical design drivers and their co-relations across different hierarchical levels.

This article has been researched & authored by the Business Concepts Team. It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.

Browse the definition and meaning of more similar terms. The Management Dictionary covers over 1800 business concepts from 5 categories.

Continue Reading:

Share this Page on:
Facebook ShareTweetShare on Linkedin