MAT 354 Regression Analysis
3 hours
Regression, perhaps the most widely used statistical technique, estimates relationships between independent (predictor or explanatory) variables and a dependent (response or outcome) variable. One purpose of regression may be to predict, or estimate, the value of one variable from known or assumed values of other variables related to it. The course covers regression techniques with applications to the type of problems encountered in real-world situations. Topics include simple linear regression, residual analysis, multiple regression, parameter estimation and testing, model selection procedures and special topics such as logistics regression. R programming language will be used for data analysis.