SAS for Linear Models, Fourth Edition

Chapter 9 Multivariate Linear Models

9.1 Introduction

9.2 A One-Way Multivariate Analysis of Variance

9.3 Hotelling’s T² Test

9.4 A Two-Factor Factorial

9.5 Multivariate Analysis of Covariance

9.6 Contrasts in Multivariate Analyses

9.7 Statistical Background

9.1 Introduction

Although the methods presented in earlier chapters are sufficient for studying one dependent variable at a time, there are many situations in which several dependent variables are studied simultaneously. For example, in monitoring the growth of animals, a researcher might measure the length, weight, and girth of animals receiving different treatments. The goal of the experiment would be to see if the treatments had an effect on the growth of the animals. One way to determine ...