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STAT 462 : Applied Regression Analysis Spring 1998

Section 1:	MWF 1:25 - 2:15 pm
Instructor:	Dr. Mosuk Chow
	Office: 315 Thomas Building
	Phone: 863-8128 (e-mail: mchow@stat.psu.edu)
	Office Hours: M, Th 2:45-3:45pm W 10:30-11:30am or by appointment
Grader :	Carla Sciullo
	Office : 333 Thomas Building
	Phone: 863-3374
	Office Hours: to be announced
Textbook:	Applied Linear Regression Models, Third Edition or
	Applied Linear Statistical Models, Fourth Edition (also for Stat 502)
	by Neter, Wasserman and Kutner
	A Casebook for a First Course in Statistics and Data Analysis
	by Chatterjee, Handcock and Simonoff
	The Minitab Student Handbook - Optional
	by Ryan, Joiner, Ryan (3rd edition, 1994)
Prerequisite:	One previous course in Statistics.
Grades:	Your grade will be calculated as follows:
	Homeworks: 20 %
	Midterms: 40 % (Feb 25, April 1 in class)
	Project: 10 % (due April 24 )
	Final Exam: 30 %

(1) Midterm exams will be closed book and noncomprehensive. Final exam will be closed book and comprehensive. For midterm exams, you will be allowed to bring in a formula sheet made up by yourself; this sheet may comprise one page 8.5x11 inches, one sided. For final exam, you can bring two pages of one sided 8.5x11 inches sheets.

(2) Calculators are permitted for use during exams.

(3) No early or late exams will be allowed without a written and legitimate excuse.

Course Content: Most of the Chapters 1-12 of the book by NWK

optional topic: logistic regression (if time allows)

Computer Accounts: We shall be using Minitab in this course to

process data. You will need to have an access

account or a PSUVM account. You can use either

the Minitab that is available on the CAC mainframe

computer or that is installed on many of the PC's

located in the computer labs throughout campus.

Solutions: Copies of the solutions for the assignments and

examinations will be placed on reserve in the Mathematics

Library (located in McAllister Building) and also on the

third floor notice board in Thomas Building.

Homeworks: Homework assignments will be assigned regularly.

You must show all work on the homework problems to

get full credit. The lowest homework score will be

dropped. Doing the homework promptly and carefully

is necessary for learning the material. A reasonable amount

of collaboration is allowed on homework. However, each

student must turn in his or her own written work

which reflects his or her own individual understanding

of the material.

Late homeworks: (20 % off for each day late)

Website: www.stat.psu.edu/ $\sim$ mchow/stat462.html

HW 1 (due Jan 21): Send me a e-mail listing your name

( including how you prefer to be addressed),

your year, statistics courses you have taken and

whether you have used minitab before.


Course Content:	Most of the Chapters 1-12 of the book by NWK
	optional topic: logistic regression (if time allows)

Computer Accounts:	We shall be using Minitab in this course to
	process data. You will need to have an access
	account or a PSUVM account. You can use either
	the Minitab that is available on the CAC mainframe
	computer or that is installed on many of the PC's
	located in the computer labs throughout campus.
Solutions:	Copies of the solutions for the assignments and
	examinations will be placed on reserve in the Mathematics
	Library (located in McAllister Building) and also on the
	third floor notice board in Thomas Building.
Homeworks:	Homework assignments will be assigned regularly.
	You must show all work on the homework problems to
	get full credit. The lowest homework score will be
	dropped. Doing the homework promptly and carefully
	is necessary for learning the material. A reasonable amount
	of collaboration is allowed on homework. However, each
	student must turn in his or her own written work
	which reflects his or her own individual understanding
	of the material.
	Late homeworks: (20 % off for each day late)
Website:	www.stat.psu.edu/ $\sim$ mchow/stat462.html
HW 1 (due Jan 21):	Send me a e-mail listing your name
	( including how you prefer to be addressed),
	your year, statistics courses you have taken and
	whether you have used minitab before.

HOMEWORK ASSIGMENTS

HW1: Due Wed Jan 21 Send e-mail to me as described in the syllabus.
HW2: Due Wed Jan 28: 1.2, 1.3, 1.5, 1.11, 1.12, 1.18, 1.21, 1.25, 1.38
HW3: Due Friday Feb 6 : 2.1, 2.2, 2.3, 2.6 (a,b,c,d), 2.15 (a,b), 2.10
HW4: Due Wed Feb 11: 2.49, 2.31
HW5: Due Wed Feb 18 : 3.6 a,b,c,e , 3.15, 3.18
HW6: Due Wed March 4 : 4.5, 4.9 a,c (for c, use the Bonferroni procedure,don't need to consider the most efficient procedure)
HW7: Due Wed March 18 : 6.3, 6.9, 6.10, 6.11, 6.12 (for a, simply use a BONFERRONI Procedure)
HW8: Due Wed March 25 : 7.1, 7.5, 7.6, 7.26
HW9: Due Wed April 15 : 8.8 (skip PRESS for a), 8.17, 11.10, 11.11, 11.14
HW10: Due Wed April 22: 9.10 a,b,c,d, 9.13 a,b,c then center the predictor variables to reduce the VIF as suggested in 7.8 (p.314). Also calculate the VIF for the model after centering.