What is MVA?
Most of the problems in the world are multivariate in nature - meaning that there are many variables that contribute to them. We cannot simply use the season of the year to predict the weather, as many other variables are part of the relationship to weather. The same holds true with other scientific, economic, and consumer preference relationships, such as product quality, which is influenced by numerous process variables, or consumer preference for a product which can be based on traits such as color, taste and price.
This short guide gives you an introduction to the principles of multivariate analysis, some broad applications for this technology, how it differs from classical (univariate) statistics and an overview of common multivariate models.
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