Stat 332 Regression Analysis

Instructor:  Prof. Khalaf S. Sultan

Office:  2B20 Building #4,  Phone (office): 4676263

E-mail:  [e-mail]       

Recommended Books: 

Applied Linear Statistical Models, John Neter, William Wasserman, Michael Kutner and Willism Li, 5th edition

Download the book data sets
 

  نماذج إحصائية خطية تطبيقية -  الجزء الأول
المؤلف:  نيتر واخرون.ترجمة: د. انيس كنجو – د. عبد الحميد الزيد – د. الحسيني عبد البر

 
Course Scope Contents: 

Simple linear regression model - Multiple linear regression - Analysis of residuals and predictions. - Stepwise regression - Some nonlinear regression models and data transformations - Student will use statistical computer packages such as SAS, SPSS, Minitab
Assignments and Tests:

Assignments and projects	Will be given during the  classes	10marks
Midterm test I		25marks
Midterm test II		25marks
Final Exam	As scheduled	40 marks

Attendance: 
Student missing more than 25% of the total class hours won't be allowed to write the final exam.