Statistics 333 Applied Regression Analysis Spring 2003Professor: Bret LargetOffice: 4390 CSSC (Computer Science and Statistics Center)Phone: 262-7979E-Mail: [email protected]: http://www.stat.wisc.edu/~larget/Office Hours: Monday 9:45 – 11:45 A.M.,Wednesday 9:45 – 11:00 A.M.,and by appointmentTA: Shanhong GuanOffice: 4287 CSSCPhone: 262-7173E-Mail: [email protected] Hour: Thursday 3:30 – 4:30 P.M.Course Time: MWF 8:50 – 9:40 A.M.Room: 1257 CSSCTextbook: The Statistical Sleuth, Second Edition, by Ramsey and SchaferPrerequisites:Officially, the prerequisite is consent of the instructor. In practice, if you have taken at least one previousstatistics course, you will have sufficient background for the course.Statistical Software:Several homework assignments will require the use of statistical software. I will use R at times in lecture.There may be R output on exams, but I will not test you on your ability to use R. If you have anotherfavorite statistical software package you would prefer to use, you may. However, you may not expect anysoftware support from the TA or myself for statistical software other than R.R is free open-source software. The software’s homepage is http://cran.r-project.org/, but the U.S.mirror, http://cran.us.r-project.org/, located in the Statistics Department here at UW will be muchfaster. You may download it onto your personal computer (Linux, Windows, or Mac) from the R website.R is also available in several campus locations including the computer lab in Union South, on the CAEsystem, and in the CALS computer lab in the basement of the Animal Sciences building.Course Objectives:The primary course objectives are for the students enrolled in the course: (1) to develop mastery ofstatistical concepts in a regression setting; (2) to develop the ability to apply these concepts correctlyusing statistical software; (3) to develop the ability to interpret the results of an analysis properly; and(4) to develop the ability to communicate effectively in writing the results and proper interpretation of astatistical analysis to a non-statistical audience.Grading:Semester grades will be based on your performance on homework (20%), three tests (20% each), and afinal examination (20%). You may replace your lowest test score with the score from the final examinationif this is in your favor. All tests are cumulative (but will emphasize the most recent material). Make-upexams are only available in exceptional circumstances, with prior notice and my approval.Bret Larget January 23, 2003Statistics 333 Applied Regression Analysis Spring 2003Homework:Your homework solutions should be written up with a Word processor, although you can hand writein graphs, sketches, figures, and mathematical notation. Each problem solution should include a briefdescription of the problem (that may be paraphrased from the actual problem) as well as the solution.Take care to see that your written homework solutions are clear and easy to read.Course Web Page:The course Web page will include an anticipated schedule including test dates, homework assignments,supplementary notes, help for R, and other information useful for the course. You will be able to accessthe course web page from my home page, http://www.stat.wisc.edu/~larget/.Topics:The course web page will have a detailed schedule that will evolve as the course progresses. My intentionis to cover most of Chapters 1–14 and 20–22. Chapters 1–6 will be a review to many students in thecourse and we will go over this material quickly. Chapters 7–8 discuss simple linear regression, Chapters9–12 cover multiple regression, Chapters 13–14 discuss two-way analysis of variance, while Chapters 20–22 are special cases of generalized linear regression with discrete response variables (Bernoulli, Binomial,and Poisson, respectively). The textbook emphasizes statistical concepts over mathematical derivations,and, in fact, does not use the matrix formulation of regression. I will supplement the textbook with thisimportant mathematical topic at appropriate points in the semester.Academic Honesty:You are permitted and, in fact, encouraged to talk to other students, your teaching assistant, or me abouthomework. You may look through books or Web pages for solutions to problems. However, you maynot present other people’s work as your own. Please include with any submitted solutions to problemsreferences to any sources of direct assistance. If you work with other students solving problems, make surethat you write up your own solution independently. It is not acceptable for one student to write a solutionfor another student to copy.Bret Larget January 23,