PUBL 608 - Applied Multivariate Regression - An Introduction

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An introduction to the practical application of widely used basic multivariate regression techniques. Experience in the use of these techniques is provided through hands-on exercises and the preparation of an original regression analysis of real-world data in an area of interest selected by the student. Methods covered include multiple linear regression, models with binary dependent variables, analysis of pooled data, and methods for assessing and comparing the performance of alternative models. Rather than focusing on the mechanics of regression computation, the course emphasizes the basic concepts involved in constructing and estimating regression models, and in interpreting their results. Consent of instructor.