MATH320 Regression Analysis and Application
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 variables, checking model assumptions and Logistic regression. Software will be used throughout the course and applications to real life data will be an integral part of the course.
Prerequisite
MATH315