67-385/585 Applied Regression Analysis
67-385/585 Applied Regression Analysis

Fall 1997 Edwards
Section 1 1:50 to 2:50 M W F

Instructor: Dr. Chris Edwards
Phone: 424-1358 Office: Swart 123 Classroom: Swart 127

Text: Applied Linear Statistical Models, 4th edition, by Neter, Kutner, Nachtsheim, and Wasserman.

Grading: Final grades are based on these 600 points:

TopicPointsDateChapters
Exam 1Simple Linear Regression100Oct. 31-4
Exam 2Multiple Regression I100Nov. 75-8
Exam 3Multiple Regression II100Dec. 109-11, 13-14
Exam 4Optional Final100Dec. 121-11, 13-14
Quizzes100Weekly
Homework200Weekly

540 pts. or more A
510 pts. or more AB
480 pts. or more B
450 pts. or more BC
420 pts. or more C
390 pts. or more CD
360 pts. or more D
359 pts. or less F
I reserve the right to lower these point values at the end of the semester. That is, fewer than 540 pts. may still earn an A. (This is my version of a "curve"!)

Make-up exams will not be given under any circumstances. Exam 4, however, is an optional cumulative exam and will replace the lowest exam score. If any exam is missed for any reason, Exam 4 will replace that score.

Homework and Quizzes: There will be eight (8) homework assignments each worth twenty-five (25) points and five (5) quizzes each worth twenty (20) points.

Cooperation on homework is encouraged; copying is not. You are urged to work together on homework to solve problems; however, each of you must submit your own write-up.

Office Hours: Office hours are times when I will be in my office to help you. There are many other times when I am in my office. If I am in and not busy, I will be happy to help. My office hours for Fall 1997 semester are 10:20 to 11:15 Monday, Tuesday, Wednesday, and Friday, or by appointment.

Assessment: The Mathematics Department is continuing its assessment program whereby mathematics majors assemble relevant work in a portfolio to be kept with their advisor. For this class, several work products throughout the semester will be designated as appropriate to be placed in the portfolio. The emphasis in this course will be on modelling and using technology.

Philosophy: I strongly believe that you, the student, are the only person who can make yourself learn. Therefore, whenever it is appropriate, I expect you to "discover" the mathematics we will be exploring. I do not feel that "lecturing" to you will teach you how to do probability and statistics. I hope to be your "guide" while we learn some statistics, but you will need to do the learning. I expect each of you to come to class prepared to discuss the dayÕs material. That means you will have to pre-read each section of the text very carefully before class.

My idea of teaching / learning is not "Teaching is telling and learning is listening". I believe that you must be active in the learning process to learn well. My job as a teacher, therefore, is not to ÒtellÓ you the answers to the problems we will encounter; rather it is to point you in a direction which will allow you to see the solutions yourselves. To accomplish that goal, I will work to find different interactive activities for us to work on. Your job is to use me, your text, your friends, and any other sources as resources. Remember, the goal is to learn mathematics, not to pass the exam. (Incidentally, if you have truly learned the material, the test results will take care of themselves.)

Tentative Homework Assignments:

HW 1: 1.13, 1.21, 1.44, 2.6
HW 2: 2.25, 2.46, 2.49, 3.5, 3.26
HW 3: 4.4, 5.17, 5.25, 5.27
HW 4: 6.18, 6.19, 6.21, 6.29
HW 5: 7.7, 7.10, 7.19, 7.59
HW 6: 8.3, 8.9, 8.18, 9.12
HW 7: 10.5, 10.14, 11.15, 11.25
HW 8: 13.5, 13.7, 13.9, 14.7

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Managed by: Chris Edwards
edwards@uwosh.edu
Last updated: September 9, 1997