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Instructor Class Description

Time Schedule:

Matthew Stephens
STAT 423
Seattle Campus

Applied Regression and Analysis of Variance

Regression analysis. Problems in interpreting regression coefficients. Estimation, including two-stage least squares. Guided regression: building linear models, selecting carriers. Regression residuals. Analysis of variance. Nonparametric regression. Factorial designs, response surface methods. Prerequisite: either STAT 342, STAT 421, or STAT 481/ECON 481; recommended: MATH 308. Offered: W.

Class description

The course is a basic introduction to regression, at an undergraduate level. If you want a higher level introduction, and have linear algebra, you might want to consider STAT 504.

Student learning goals

General method of instruction

Recommended preparation

Class assignments and grading


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Matthew Stephens
Date: 12/23/2002