Degree Name
Master of Science
Department or Program
Mathematics
Advisor
Dr. David J. Olive
Abstract
To use the multivariate linear regression model, tests of hypotheses are needed. This paper gives F approximations to the widely used Wilk, Pillai, and Hotelling Lawley test statistics, and gives plots to check goodness and lack of fit, to check for outliers and influential cases, and to check whether the error distribution is multivariate normal.
COinS