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Detailed Course Information


Spring 2018
Apr 24, 2018
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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

Must be enrolled in one of the following Levels:     

Undergraduate level MATH 321 Minimum Grade of C-

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