MAT 485 - Introduction to Applied Regression

This is an introduction to linear regression and time series analysis. Topics include model building, model diagnostics using residual analysis, choice of models, model interpretation, linear time series models, stationary processes, moving average models, autoregressive models, and related models. Technical writing for project reports is required for this course.

Prerequisite(s): MAT 282 or permission of instructor.
Co-requisite(s):
Credits: 3

Course Typically Offered:
Course Type: Mathematics