LINEAR STATISTICAL MODELS 6 / 74023

 

Instructor  :  Dr. David Booth

Office  :  A428 BSA

Phone (Office)  : 672-1143

Office Hours : To Be Announced

 

Please note that if I am not in my office at these times you will find a note on my door telling you where I am. Please then go to that location to see me. Please feel free to call me or leave me a note in my mailbox if you need to contact me.

 

Textbook  :  Dielman, Applied Regression Analysis for Business and Economics. 3rd Ed.

 

Course Objectives  :

 

To learn to analyze sets of data that are found in serious research activities, using linear model based techniques.

 

Attendance and Make-up Policy  :

 

In general, students are expected to attend class and are responsible for any material discussed and/or assigned. With respect to make-up, the general policy is no make-up of missed work (including exams) is allowed, and no late work will be accepted. The only exceptions are :

1)      A prearranged situation (e.g., course field trips, athletic trips, etc.)

2)      Emergency illness, death in the family etc., inthis case, the instructor should be notified as soon as possible.

3)      Contact the instructor early.

 

Performance Evaluation  :

 

There will be a series of data analysis projects worth 100 points each. In general, the grading scale for the course is :

 

90 %+

A

80 % - 90 %

B

70 % - 80 %

C

60 % - 70 %

D

Exams will count 100 points each.

 Notice that the final course grade depends on the total number of points earned. Academic dishonesty, in all forms, is prohibited. Incompletes generally will not be given. All material handed in is in the public domain.

 

Students with Disabilities  :

 

In accordance with University policy, if you have a documented disability and require accommodations to obtain equal access in this course, please contact the instructor at the beginning of the semester or when given an assignment for which an accommodation is required. Students with disabilities must verify their eligibility through the Office of Student Disability Services (SDS) in the Michael Schwartz Service Center (672-3391).

The Following Policies Apply To All Students in this Course

 

A.      Students attending the course who do not have the proper prerequisite risk being deregistered from the class.

 

B.      Students have the responsibility to ensure they are properly enrolled in the classes. You are advised to review your official class schedule during the first two weeks of the semester to ensure you are properly enrolled in this class and section. Should you find an error in your class schedule, you have until September 7, 2001 to correct it with your advising office. If registration errors are not corrected by this date and you continue to attend and participate in the classes for which you are not officially enrolled, you are advised now that you will not receive a grade at the conclusion of the semester for any class in which you are not properly registered.

 

C.      Academic Honesty : Cheating means to misrepresent the source, nature, or other conditions of your academic work (e.g., tests, papers, projects, assignments) so as to get undeserved credit. The use of the intellectual property of others without giving them appropriate credit is a serious academic offense. It is the University’s policy that cheating or plagiarism result in receiving a failing grade for the work or course. Repeat offenses result in dismissal from the University.

 

D.      For Fall 2001 the course withdrawal deadline is Saturday, November 3, 2001. Withdrawal before the deadline results in a “W” on the official transcript; after the deadline a grade must be calculated and reported.

 

E.       Students with disabilities : In accordance with University policy, if you have a documented disability and require accommodations to obtain equal access in this course, please contact the instructor at the beginning of the semester or when given an assignment for which an accommodation is required. Students with disabilities must verify their eligibility through the Office of Student Disability Services (SDS) in the Michael Schwartz Service Center (672-3391).

 

 

Chapter

Topic

Exercises

1

Introduction

 

2

Review

2.4.9,2.5.17,2.6.22,2.7.31,2.8.32,2.9.37

 

Hand in Project 1

Theory of Regression

Handouts, Exam at end

 

3

Straight Line Regression

3.1.2,3.3.5,3.5.13

4

Multiple Regression

4.3.1

5

Fitting Curves to Data

 

6

Regression Assumptions

 

 

Handout Experimental Designs and ANOVA

Hand in Project 2

Hand in Project 3

Hand in Project 4

Hand in Project 5

Final Exam

 

Each project and Exam is worth 100 points.