Statistics 512

Applied Regression Analysis

Fall 2008, Sections 2

Course outline

Among topics to be covered are simple and multiple regression, analysis of variance, analysis of covariance, diagnostics, etc. The emphasis is placed on selected practical tools using SAS rather than on the mathematical manipulations.

Textbook

• Applied Linear Statistical Models (5th ed.) by Kutner, Nachtsheim, Neter & Li

References

• Applied Statistics and the SAS Programming Language (4th ed.) by Cody & Smith
• SAS System for Regression (2nd ed.) by Freund & Little

Assignments

• Weekly homework assignments (10%) due mostly on Mondays.
• Weekly SAS assignments (10%) due on Wednesdays.

You are encouraged to discuss with each other on the assignments, but do try your best to understand the materials.

Exams and quizzes

• There will be two midterms (20% x 2) and a final (30%).
• There will be biweekly quizzes (10%) given mostly on Mondays on materials covered in the latest homework assignments. You do get to drop the worst quiz score unless it is a 10.

All exams and quizzes are open-book and open-notes. Do bring a calculator that works.

Calendar

Click here for the due dates of homework assignments and the schedules of quizzes and exams.

Homework assignments

Click here for the homework assignments and related information. When your answers are based on computer outputs, be sure to do some cut-and-paste and hand in only the relevant results.

SAS assignments

Click here for the SAS assignments and related materials. Be sure to have your results ready on the due dates, for we will need them in class.

Lecture slides

Click here for the slides I will be using in the lectures. The slides are very sketchy. These can be good review materials afterwards, but not so much as learning materials without the verbal explanations to be delivered in the lectures.

Solution keys

Click here for the solution keys to homeworks, quizzes, and exams.