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.

Enabling multivariate regression analysis is essential because researchers are typically interested in knowing how the probability of answering the sensitive question affirmatively varies as a ...

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...

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 ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

British Journal of Cancer - Survival Analysis Part II: Multivariate data analysis – an introduction to concepts and methods ...

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.

Jeremy W. Lichstein, Multiple Regression on Distance Matrices: A Multivariate Spatial Analysis Tool, Plant Ecology, Vol. 188, No. 2 (2007), pp. 117-131 ...