( 3 credits) Data Analysis and Regression
to multiple regression and data analysis with emphasis on graphics
Prerequisite: Six credits of upper-division statistics courses or written consent of instructor. Linear Algebra highly recommended.
Text: Applied Linear Statistical Models, 5th ed., Kutner, Nachtsheim, Neter & Li.
Highly recommended optional text: The art of R programming: a tour of statistical software design, Norman Matloff, 2011.
Computer Software: R.
This course fulfills a Group I requirement for the MS degree, as well as fulfilling a requirement for the Applied Statistics and Statistical Theory & Methods certificates.