


Syllabus
This course will focus on linear regression analysis. After this semester you should be able to understand the need for probabilistic linear models and should have a working knowledge of simple/multiple linear regression analysis. The only mathematics you will be required to know is basic algebra. The software used in the course will be MINITAB.
There will be homework assigned each week. All assigned problems must be completed by all students, but only specified problems will have to be handed in. Homework must be handed in at the beginning of class. Assigned problems which are not required to be handed in will be reviewed during class and/or solutions will be handed out. Besides HOMEWORK, there will be a MIDTERM and FINAL. There will be a final project. Your grades will be calculated as follows:
Midterm  30% 
Homework  10% 
Final  30% 
Project  30% 
Attendance in class is essential. There will be no makeup exams.
Required Text:
Chatterjee, Hadi, Price, Regression Analysis by Example (RABE), 3rd Edition, John Wiley, 2000.
Part I. Simple Linear Regression
Part II. Multiple Linear Regression
These topics are found in RABE Chapters 16, 8, 9 , 11.
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