Statistics 512
Applied Regression Analysis
Fall 2016, Sections 9 & 10
Instructor: Chong Gu
Classes: 11:3012:20 & 12:301:20 MWF, REC 113.
Office Hours: 1:302:30 MWF, HAAS 170, or by appointment.
SAS Help Sessions: 6:308:30pm W, BRNG B286.
 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 (ISBN 0072386886)
 References

 Applied Statistics and the SAS Programming Language (5th ed.) by
Cody & Smith
 SAS System for Regression (2nd ed.) by Freund & Little
 Assignments

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 openbook and opennotes. Do bring a calculator
that works.
 Project
 The course has an "embedded oral communication" component, for which we will have
group projects (10%) involving data analysis, report writing, and inclass presentation.
 Calendar
 Click here for the due dates of homework
assignments and the schedules of quizzes and exams.
 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.

