Regression and Forecasting Models for Business Applications
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Overview
Subject area
STA
Catalog Number
4155
Course Title
Regression and Forecasting Models for Business Applications
Department(s)
Description
This is an applied statistics course on regression and time series models. This course is data driven and makes extensive use of statistical packages such asSAS or R. The topics covered include simple linear and multiple linear and curvilinear regression, binary and polytomous logistic regression, and time seriesmodels. The latter include moving average, autoregressive, and ARMA models. All of these topics are illustrated with business applications and other data.
Typically Offered
Fall, Spring, Summer
Academic Career
Undergraduate
Liberal Arts
No
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3
Requisites
025044