Statistics 512

Applied Regression Analysis

Fall 2016, Sections 9 & 10

Here is an old final and the accompanying SAS results car and angle. Some of the questions in Problem 2 concern materials I don't cover any more, so ignore them.

Here is the project description and the accompanying fish.data. You can find a sample report on a mock project here, concerning the animals.data. Click here for the schedule of presentations.

An annotated page of SAS#9 can be found here.

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

Here is the key to Exam 2.

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.

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

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

Project

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.

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.