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

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

Course Schedule