Statistics
5302, Spring
2009
APPLIED
REGRESSION ANALYSIS
Course
Instructor: R. D. Cook,
397 Ford, Minneapolis (5-7732). Email:
dennis@stat.umn.edu. Office
Hours: 3-4 MW, 146d Classroom
Office Building and by
appointment.
Lab
Instructor: Luke Chmura. Email:
chmural@stat.umn.edu. Office Hours: TBA
Lectures:
1:55-2:45 MWF, 144 McNeal
Hall
Labs: (1) 1:55-2:45,
(2) 3:00-3:45 on Thursdays in Classroom
Office
Building 135. During
the
regular lab sessions, you will go over assignments, receive instruction
to
supplement the lectures and have an opportunity for
questions.
Text:
Cook R D and Weisberg S (1999).
Applied
Regression Including Computing and Graphics. New York: Wiley. The web
site for the text is at
http://www.stat.umn.edu/arc. There you will find
background information
that may be helpful during the semester, and the
computer program
Arc that was
written to
accompany the text. This text is required.
Computing: The
computer
program Arc is an
integral
part of this course. Information on the use of
Arc is included in the
text. You will receive further
instruction on Arc during both
labs and lectures. All data sets discussed
in the text and almost all data
sets to be used in the course come with
Arc. Instructions on how to
gain access to Arc in computer
labs, and on how to load it onto your own
computer are provided on separate
handouts available from the course web page,
and will be discussed in your
first lab session on Thursday, January 22. You
must be familiar with Arc
as soon as possible. You will
also need a hand calculator that can find roots, logs and
exponentials.
Bring your calculator to the
exams.
Homework:
Homework is a required part of the course. There
will be 10-12 assignments
during the semester. Portions of all assignments will
be graded and most
will require computer work. No late homework will be
accepted unless prior
permission has been obtained from the instructor or the
teaching assistant.
Usually, assignments will be given in class on Wednesdays
and will be due
in lab on the Thursday of the following week. You are required
to hand in
only the problems to be graded, but you should do all of the
problems
assigned to keep up with the material and prepare for the exams. You
are
permitted to discuss homework problems with others in the class, but
the
work turned in must be your own.
Conscientious completion of all homework
assignments is essential to getting a
good grade in this course (see
grading below).
Exams: There
will be two in-class exams
plus the final. The tentative
dates for the in-class exams are February 26 and
April 10. The exact date
will be announced at least one week prior to the exam.
The final is
scheduled for 4:00 pm to 6:00 pm, Saturday, May 16. You could be
required to do computer analyses to prepare for exams, and the final may have a
take-home portion.
Grading: Homework
40%; 1st Exam 20%; 2nd Exam 20%; Final Exam 20%. As a rough
guide based on past classes you can expect that about 87% will be required for an
"A", between 74% and 87% will be required for a "B",
between 62% and 74% for a "C", although the exact percentages will
vary depending on the difficulty of the homework and exams. A grade of
"S" requires a clear demonstration of knowledge of the subject matter
and a passing grade on the final exam. For example, satisfactory performance on
8 assignments, one in-class exam and the final exam would be sufficient. Makeup exams will be given only for
documented reasons outside your control, e.g. illness supported by a letter
from your doctor. Social and vacation conflicts are not acceptable reasons.
Incompletes: A grade
of "I" will be given only in extraordinary circumstances, and then
only by written agreement between the instructor and the student. An incomplete
will not be given on the grounds of an unexpectedly heavy course load. Students wishing to make up a
prior incomplete must obtain permission from the instructor in advance.
Handouts: Copies
of handouts will be available on the course Web page at www.stat.umn.edu/~dennis/5302S09.
(Note that the S is uppercase)
Coverage: The
table of contents for the text is the course outline. We will cover Chapters
1-15, 21, 22 and, time permitting, a little nonlinear regression. While the
emphasis given during lecture will be a good indication of relative importance,
you will be responsible for all the material in assigned readings.
Chapter
1 is largely review and you are expected to be familiar with the statistical
material contained therein. This chapter is intended to provide some review,
introduce some of the notation used in the course, and provide instruction on
the use of Arc in a familiar
statistical context. Chapters 2 and 3 introduce a few fundamental ideas of
regression. Chapters 1- 3 will be covered rapidly. The pace of the course in
chapters covered per lecture will begin to slow when we reach Chapter 4, but
the material covered per lecture will be relatively constant. Some of the
chapters will be covered in Lab.
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DISABILITY ACCESS STATEMENT
This material is available in alternative formats upon
request. Please contact the secretarial staff of the School of Statistics, 313
Ford Hall, 625-7030.
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