Title
Regression Analysis
Course Materials
Applied Linear Statistical Models, 5th Ed. By Kutner, Nachtsheim, Neter, and Li (aka Regression Analysis, STA 4210)
Course Description/Policies
- Any handouts or graded assignments will be only handed out once. It is your responsibility to attend class and obtain course materials. Many handouts will be posted on the web.
- Due to onslaught of e-mail vermin, I will immediately delete any message with an attachment. Any e-mail should be text only with no HTML. E-mail messages should be kept to an absolute minimum, and only used in dire emergencies. E-mail is not a substitute for office hours or lectures.
- For each exam, you will be permitted to bring 1 3”x5” index card. Any formulas must be handwritten, not photocopied. I will provide any necessary tables.
- Keep up with the material, and you should find this to be an interesting, highly applicable course, regardless of your major. It is easy to fall behind, and then it may become overwhelming, as this course is a thorough treatment of Regression Analysis. Good Luck!
Grading Scale
Each exam will count 30%, and will contain an in-class and take-home portion. The take-home portion will be given out in the class period prior to the exam. It is your responsibility to receive this portion at that time. No make-up exams will be given. Homework projects will count for the remaining 10%. No late homework will be accepted, nor will electronic (e-mail) versions be accepted.
- A 92+
- A- 91.99-87
- B+ 86.99-82
- B 81.99-70
- B- 69.99-60
- C+ 59.99-50
Attendance/Exam/Assignment Policies
While attendance is not taken, students are expected to attend lectures and participate in class. Make-up exams will only be considered with documented medical event or conference attendance (graduate students). Early exams will be given under no circumstances. Assignments are to be handed in during class on the date the assignment is due in paper format. Electronic submission of assignments will not be accepted. Turn off cell phones during classes.