ORIE 476 -- Applied Linear Statistical Models -- SPRING 2004 TIME: MWF 1:25 -- 2:15pm, HO 110 PREREQUISITES: ENGRD 270 INSTRUCTOR: Jim Booth Visiting Professor Operations Research and Industrial Engineering 216 Rhodes Hall Phone: 255-9137 WEBPAGE: http://www.stat.ufl.edu/~jbooth/ EMAIL: except from hotmail/yahoo accounts OFFICE HOURS: M,Tu,Th 2:30 -- 3:30pm, or by appointment. TEACHING ASSISTANT: Nikolai Blizniouk RECITATION SECTIONS: T 12:20-2:15pm, W 2:30-4:25pm SUMMARY: This course is an introduction to the theory and application of linear statistics models. The main topics are simple and multiple regression, one- and two-way ANOVA and analysis of covariance. The course will emphasize the use of R for statistical computing and model fitting. This package is free and can be downloaded from the website http://cran.r-project.org/ Just click on the "Windows (95 and later)" link - there are also Mac and Linux versions - then click on the "base" link, and download the file "rw1081.exe". To install the package double click on the .exe file and choose the default installation options. COURSE TEXT: "Applied Linear Statistical Models", 4th Edition, by Neter, Kutner, Nachtsheim and Wasserman. ISBN 0-256-11736-5 COURSE OUTLINE: Chapter 1. Simple Linear Regression 2. Inferences in Regression Analysis 3. Diagnostics 5. Matrix Approach to SLR Analysis 6. Multiple Regression 16. Single-Factor ANOVA 19. Two-Factor ANOVA: Equal Sample Size 22. Two-Factor ANOVA: Unequal Sample Size 25. Analysis of Covariance GRADING: Homework will be assigned each week and collected the following week. There will also be two exams (a midterm and a final). Homework assignments may involve data analysis and computation requiring students to use the R package. POINTS: Midterm 20, Final 40, Homework 40. GRADING SCALE: A+ 95+, A 90+ A- 85+, B+ 80+, B 75+, etc. EXAM DATES: Midterm Wednesday, Feb 18 Final Friday, March 12