Statistics 512

Applied Regression Analysis

Fall 2016, Sections 9 & 10

Instructor: Chong Gu
Classes: 11:30-12:20 & 12:30-1:20 MWF, REC 113.
Office Hours: 1:30-2:30 MWF, HAAS 170, or by appointment.
SAS Help Sessions: 6:30-8:30pm W, BRNG B286.

Here is the project description and the accompanying You can find a sample report on a mock project here, concerning the

Here is an old exam2 and the accompanying SAS output.

Part of SAS#4 output with annotations can be found here.

Here is the key to Exam 1.

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.
You are encouraged to discuss with each other on the assignments, but do try your best to understand the materials.
Exams and quizzes
All exams and quizzes are open-book and open-notes. Do bring a calculator that works.
The course has an "embedded oral communication" component, for which we will have group projects (10%) involving data analysis, report writing, and in-class presentation.
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.