Math 385/585 Applied
Regression Analysis
Fall 2011
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 203 Text: Applied Linear Statistical Models, 5th edition, by Kutner, Nachtsheim, Neter, and
Li. Link to Day by Day notes.
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 7 |
1 to 4 |
Exam 2 |
Multiple Regression I |
70 pts. |
November 14 |
5 to 8 |
Exam 3 |
Multiple Regression II |
70 pts. |
December 16 |
9 to 11, 13 and 14 |
Homework |
15 Points Each |
90 pts. |
|
|
Final grades are
assigned as follows:
270 pts. A
(90 %)
260 pts. A-
(87 %)
250 pts. B+
(83 %)
240 pts. B
(80 %)
230 pts. B-
(77 %)
220 pts. C+
(73 %)
210 pts. C
(70 %)
200 pts. C-
(67 %)
190 pts. D+
(63 %)
180 pts. 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 2011 semester are 10:20 to 11:00, Monday, Wednesday, and Friday and 3:00
to 4:00, Thursday 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.)
Math 585 Expectations:
Expectations for the graduate students are understandably more rigorous
than for the undergraduate student.
Students taking Math 585 will have an extra theoretical problem added to
each homework, to be assigned during the semester. In addition, a final project worth 50 points will be due at
the end of the semester. This
project will involve a complete analysis of a data set, including model
estimation, development, and validation.
Homework Assignments: (subject to change if we discover difficulties as we go)
Homework 1, due September 21 |
Chapter 1: 1.19 p. 35 |
Homework 2, due October 5 |
Chapter 2: 2.23 p. 93 |
Homework 3, due October 26 |
Chapter 3: 3.17 p. 150-151 |
Homework 4, due November 13 |
Chapter 6: 6.10 p. 249 |
Homework 5, due November 30 |
Chapter 9: 9.15 p. 378-379 |
Homework 6, due December 14 |
Chapter 10: 10.10 b-f p. 415 |
Monday |
Wednesday |
Friday |
September 5 |
September 7 Day 1 |
September 9 Day 2 |
September 12 Day 3 |
September 14 Day 4 |
September 16 Day 5 |
September 19 Day 6 |
September 21 Day 7 |
September 23 Day 8 |
September 26 Day 9 |
September 28 Day 10 |
September 30 Day 11 |
October 3 Day 12 |
October 5 Day 13 |
October 7 Day 14 |
October 10 Day 15 |
October 12 Day 16 |
October 14 Day 17 |
October 17 Day 18 |
October 19 Day 19 |
October 21 Day 20 |
October 24 Day 21 |
October 26 Day 22 |
October 28 Day 23 |
October 31 Day 24 |
November 2 Day 25 |
November 4 Day 26 |
November 7 Day 27 |
November 9 Day 28 |
November 11 Day 29 |
November 14 Day 30 |
November 16 Day 31 |
November 18 Day 32 |
November 21 Day 33 |
November 23 |
November 25 |
November 28 Day 34 |
November 30 Day 35 |
December 2 Day 36 |
December 5 Day 37 |
December 7 Day 38 |
December 9 Day 39 |
December 12 Day 40 |
December 14 Day 41 |
December 16 Day 42 |
Managed
by: chris edwards
Last updated August 1, 2011