Statistics 870
Multiple Regression Analysis
Fall 2008

Instructor

Name: Christopher R. Bilder, Ph.D.
Office: Hardin Hall 342D

Office hours: MW 1:30PM-2:30PM and by appointment (for the 2nd and 4th Mondays of the month, office hours end at 2PM due to departmental faculty meetings)
Web portal: www.chrisbilder.com
E-mail:
STAT 870 website: statistics.unl.edu/faculty/bilder/stat870 or www.chrisbilder.com/stat870
 

 Textbooks

Required:

Kutner, M. H., Nachtsheim, C. J., and Neter, J. (2004). Applied Linear Regression Models (4th edition). McGraw-Hill/Irwin: New York. (Note: The student solutions manual is on the CD with the book)

Recommended:

Fox, J. (2002).  An R and S-Plus Companion to Applied Regression.  Sage Publications, Inc.: Thousand Oaks, CA.
 

Prerequisites

STAT 801, Statistical Methods in Research; STAT 802, Experimental Design; Matrix algebra
 

Grades

Grading Scale:

+ and – letter grades are 2.5% from the above cut off points. For example, A- is 90-92.5% and B+ is 87.5-90%.

A project completed in an unreadable or unprofessional manner will be returned to the student. The project may be redone and turned in again; however, points will be deducted from the grade. No late projects, quizzes, etc. will be accepted.

I recommend completing the projects in groups. If you do work in a group, all group members are expected to participate equally and have a complete understanding of how to do all components of the projects. I reserve the right to lower a student’s project grade if he/she does not abide by this group work policy.

You are required to turn in all projects electronically via the Blackboard website for this course (use the digital drop box). Projects need to be completed in Word documents and turned in before the time they are due. It is your responsibility to make sure the project has been actually turned in.
 

Statistical software

The statistical computer software package, R, will be used extensively to do calculations in this class. R is available for free from www.r-project.org. The specific link to download the Windows version is cran.r-project.org/bin/windows/base and to obtain various add-on packages is cran.r-project.org/src/contrib/PACKAGES.html. This software is based on the syntax used in the award winning S language and is very similar to the S-Plus statistical software package.  All projects must be completed using R unless otherwise announced.