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.