MATH 3340 Applied Regression Analysis

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 intergral part of the course. Prerequisite(s): MATH 3240
Credits: 3.0