Multivariate Regression Analysis Multivariate regression is a very powerful form of data analysis and happens to be more accurate when applied to the real world.

Multivariate analysis uses statistical tools such as multiple regression analysis, cluster analysis and conjoint analysis to determine the relationships between factors.

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

Course TopicsMultivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used ...

An introduction to the application of modern multivariate methods used in the social sciences, with particular focus on latent variable models for continuous observed variables, and their application ...

Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers.

A Refresher on Regression Analysis Understanding one of the most important types of data analysis. by Amy Gallo November 4, 2015 uptonpark/iStock/Getty Images ...

Even a change in the correlation of those parameters may indicate a problem. For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis ...

An introduction to the application of modern multivariate methods used in the social sciences, with particular focus on latent variable models for continuous observed variables, and their application ...