Go to Main Content

.

 

HELP | EXIT

Detailed Course Information

 

Fall 2017
Dec 13, 2017
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

MATH 428 - Regression and Time Series Models
Addresses regression topics that include simple and multiple linear regression, polynomial regression, regression diagnostics, and forecasting. Introduces time series topics that include exponential smoothing, auto- regressive, integrated, moving average (ARIMA) models, and forecasting. Prerequisite: C- or better in MATH 321 or its equivalent; or permission of the department chairperson.
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Mathematical Sciences Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate
      Graduate

Prerequisites:
Undergraduate level MATH 321 Minimum Grade of C-

Return to Previous New Search
Transparent Image
Skip to top of page
Release: 8.7.1