MATH 334 - Applied Regression Analysis

Institution:

William Paterson University of New Jersey

Subject:

Description:

This is a comprehensive treatment of regression analysis course, statistical topics including: simple linear regression, least square estimates, ANOVA table, F-test, R-square, multiple regression, using dummy variables, selections of the "best subset" of predictor variable,checking model assumptions, and Logistic regression. The computer package SAS will be used through out the course and applications to real life data will be an integral part of the course. Prerequisite: MATH 324

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.wpunj.edu

Phone Number:

(973) 720-2000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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