STAT 333 (Spring 2013)Applied Regression AnalysisPrerequisite: Math 223 or 234 Credits: 3.0Classes: TTh 11:00-12:15 Room: Chem 1361Professor: Karl Rohe Office: MSC 1239Phone: 263-8531 E-mail: [email protected] Hours: Mon 1:00 - 2:00, Wed 2:45 - 3:45TA (311, 312): Du, Lilun Office: MSC 1275EPhone: 770-9704 E-mail: [email protected] Hours: Tue 14:30 - 15.40 Thu 12:20 - 13:30Section 311 meets in Chem 2377. Wed 1:20PM - 2:10PM.Section 312 meets in Soc Sci 6310. Wed 12:05PM - 12:55PM.Course Objectives: The goal of this course will be to provide students with a solid understanding of themethods of linear regression and their applications. There will be some attentiondevoted to the mathematical foundations, including the matrix structure underlyingregression, but these will be emphasized less than the methods and applications. Thedevelopment of the ability to critically evaluate ones work will be stressed.Text: The assigned text is “Regression Analysis by Example”, 4th (or 5th) edition, byChatterjee and Hadi. The lectures will be largely self-contained and the text will beused to provide parallel coverage to the lectures and as a source for some homeworkproblems. We will cover perhaps 3/4 of the material in the text and there willbe additional material presented in the lectures that is not included in the text.An alternative text is: ”Applied Regression Analysis”, 3rd edition, by Draper andSmith. It is somewhat more complete, a bit more mathematical, and somewhat lessreader-friendly.Computing: We will make extensive use of the software R. R is an open source implementationof the S language – with excellent graphics. There is no assumption in this course ofprior experience with R, with the S language, or with any other particular software.All information you will need in order to use R will be provided to you.Project: Depending on how the course develops, we may have a project focused on dataanalysis that will be due near the end of the semester. More information on thiswill be provided later in the semester.Homeworks: There will be regular homework assignments. Late homework assignments will bepenalized except under extenuating circumstances and if prior arrangements havebeen made with me. Homework assignments should be well organized and rea-sonably neat. It is required that you show your work in order to receive credit.Computer output needs to be integrated into the homework. Thus, you shouldNOT hand in unedited computer output. — The importance of doing the weeklyhomework cannot be overemphasized. Much of your learning will take place whileworking the problems.1Exams: There will be two exams. A midterm the week before spring break and a final exam.All exams will be open notes and open book. If you have 2 other final exams withina 24 hour window of this exam and you would like to take this exam at anothertime, you must notify me before Feb 15th. Our final exam is on 5/17, from 2:45 to4:45, location TBD. Your final exam will not be graded if you have not signed theModeler’s Hippocratic Oath. This will be included in the final exam.Grading: Homework is worth a total 300 points. The Midterm is worth 200 points. The finalexam is worth 300 points. If we have a project, it will be worth 200 points.Academic Honesty: You are permitted, in fact encouraged, to talk to other students, your teachingassistant, or me about homework. However, you may not present other people’swork as your own. If you work with other students solving problems, make surethat you write up your own solution independently. It is not acceptable for onestudent to write a solution for another student to copy. – On exams, your work isto be entirely your own.Disability accommodation:Any student with a documented disability (e.g., physical, learning, psychiatric, vision,hearing, etc.) who needs to arrange reasonable accommodations must contact the in-structor and McBurney Disability Resource Center at the beginning of the semester (i.e.within the first two weeks). The instructor needs to keep a copy of the