M 349R - Applied Regression and Time Series

Institution:

The University of Texas at Austin

Subject:

Description:

Introduction to simple and multiple linear regression and to elementary time-series models, including auto-regressive and moving-average models. Emphasizes fitting models to data, evaluating models, and interpreting results. Three lecture hours a week for one semester. Prerequisite: Mathematics 358K or 378K with a grade of at least C-, or an introductory statistics course and consent of the director of the concentration in actuarial studies.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utexas.edu

Phone Number:

(512) 471-3434

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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