Math 385/585 Applied Regression Analysis
Fall 2007
Section 001 1:50 to 2:50, M W F
Instructor: Dr. Chris Edwards Phone: 424-1358 or 948-3969 Office: Swart 123
Classroom: Swart 127 Text: Applied Linear Statistical Models, 5th
edition, by Kutner,
Nachtsheim, Neter, and Li.
Catalog
Description: A practical introduction to regression emphasizing
applications rather than theory.
Simple and multiple regression analysis, basic components of
experimental design, and elementary model building. Both conventional and computer techniques will be used in
performing the analyses.
Prerequisite: Math 201 or Math 301 and Math 256 each with a grade of C or better.
Course
Objectives: The goal of statistics is to gain understanding from
data. This course focuses on
critical thinking and active learning involving statistical regression. Students will be engaged in statistical
problem solving and will develop intuition concerning data analysis, including
the use of appropriate technology.
Specifically students will develop
• an
awareness of the nature and value of regression
• a
sound, critical approach to interpreting statistics, including possible misuses
• facility
with statistical calculations and evaluations, using appropriate technology
• effective
written and oral communication skills
Grading: Final grades are based on these 300 points:
|
|
Topic |
Points |
Tentative Date |
Chapters |
|
Exam 1 |
Simple Linear Regression |
70 pts. |
October 5 |
1 to 4 |
|
Exam 2 |
Multiple Regression I |
70 pts. |
November 12 |
5 to 8 |
|
Exam 3 |
Multiple Regression II |
70 pts. |
December 14 |
9 to 11, 13 and 14 |
|
Homework |
15 Points Each |
90 pts. |
|
|
Final grades are
assigned as follows:
270 pts. or more A
(90 %)
255 pts. or more AB
(85 %)
240 pts. or more B
(80 %)
225 pts. or more BC
(75 %)
210 pts. or more C
(70 %)
180 pts. or more D
(60 %)
179 pts. or less F
Homework:
I will collect (around) 5 homework problems approximately
once every other week. The due
dates are listed on the course outline below. I suggest that you work together in small groups on the
homework if you like, but don't forget that I am a resource for you to
use. Often we will use computer
software to perform our analyses; include printouts where appropriate, but
please make your papers readable.
In other words, I don't want 25 pages of printout handed in if you can
summarize it in two.
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 2007 semester are 10:20 to 11:00,
Monday, Wednesday, and Friday and 1:50 to 2:50, Tuesday or by appointment.
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 mathematics. I
hope to be your guide while
we learn some mathematics, but you
will need to do the learning. I
expect each of you to come to class prepared to digest the day’s material. That means you will benefit most by
having read each section of the text before class.
My
idea of education is definitely not "Teaching is telling and learning is
listening". I believe that
you must be active in the learning process to learn effectively. Therefore, I view my job as a teacher
as not telling you the answers to
the problems we will encounter, but rather pointing you in a direction that
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 resources
to become adept at the material.
Remember, the goal is to learn mathematics, not to pass the exams. (Incidentally, if you have truly
learned the material, the test results will take care of themselves.)
Homework
Assignments: (subject to change if
we discover difficulties as we go)
|
Homework 1, due September 17 |
Chapter 1: 1.19 p. 35 |
|
Homework 2, due October 1 |
Chapter 2: 2.23 p. 93 |
|
Homework 3, due October 22 |
Chapter 3: 3.17 p. 150-151 |
|
Homework 4, due November 9 |
Chapter 6: 6.10 p. 249 |
|
Homework 5, due November 26 |
Chapter 9: 9.15 p. 378-379 |
|
Homework 6, due December 10 |
Chapter 10: 10.10 b-f p. 415 |
|
Monday |
Wednesday |
Friday |
|
September 3 |
September 5 Day 1 |
September 7 Day 2 |
|
September 10 Day 3 |
September 12 Day 4 |
September 14 Day 5 |
|
September 17 Day 6 |
September 19 Day 7 |
September 21 Day 8 |
|
September 24 Day 9 |
September 26 Day 10 |
September 28 Day 11 |
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October 1 Day 12 |
October 3 Day 13 |
October 5 Day 14 |
|
October 8 Day 15 |
October 10 Day 16 |
October 12 Day 17 |
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October 15 Day 18 |
October 17 Day 19 |
October 19 Day 20 |
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October 22 Day 21 |
October 24 Day 22 |
October 26 Day 23 |
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October 29 Day 24 |
October 31 Day 25 |
November 2 Day 26 |
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November 5 Day 27 |
November 7 Day 28 |
November 9 Day 29 |
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November 12 Day 30 |
November 14 Day 31 |
November 16 Day 32 |
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November 19 Day 33 |
November 21 |
November 23 |
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November 26 Day 34 |
November 28 Day 35 |
November 30 Day 36 |
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December 3 Day 37 |
December 5 Day 38 |
December 7 Day 39 |
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December 10 Day 40 |
December 12 Day 41 |
December 14 Day 42 |
Managed by: chris edwards
Last updated August 21, 2007