Detailed Course Information |
Fall 2023
May 09, 2025 |
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| MATH 428 - Regression and Time Series Models |
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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, Online Fixed Times (Synch), Online (Asynchronous), Study Abroad Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Prerequisites: Undergraduate level MATH 321 Minimum Grade of C- |
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