Department of Mathematics

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Math 424: Introduction to Linear Models


Prerequisites & Bulletin Description


Course Objectives

Students will gain an understanding of the linear model and gain practical experience applying linear model to analyze real-life data. The course objective are:

  • Understand the statistical foundation of the linear model including major distributions.
  • Understand how to interpret the results of regression analysis.
  • Assessing the quality of the regression model.
  • Understand how to set the model structure in analysis of variance.

Evaluation of Students

Student will evaluated based on homework, projects, midterm, and final examinations.

Course Outline

Topics
Introduction to Linear Models
Transformations
Inference in Linear Regression
Regression Diagnostics
Regression in Matrix Notation
Multiple Regression
Qualitative Predictor Variables
Model Building Strategies
Single Factor Analysis of Variance
Analysis of Covariance
Two Factor Analysis of Variance

Textbooks & Software

Neter, Kutner, Nachtsheim and Wasserman, Applied Linear Statistical Models

Submitted by: M. R. Kafai
Date: Feb 9th, 2006

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