Course Details
MATH 245: Applied Regression Analysis
A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data. Prerequisite: Statistics 120 or Statistics 250 (formerly Mathematics 215 or 275)
6 credits; FSR, QRE; Offered Fall 2015, Winter 2016, Spring 2016; L. Chihara, K. St. Clair