Degree Name

Master of Science

Graduate 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.

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