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Course Description:
Simple linear regression model - Multiple linear regression - Analysis of residuals and predictions – inference about the parameters - Stepwise regression - Some nonlinear regression models and data transformations - Student will use statistical computer packages such as R.

Book:

Kutner, M., Nachtsheim, C.J. and Neter, J. (2005). Applied Linear Regression Models, Fifth Edition, McGraw-Hill. 

 

Extra materials such as weekly slides are in LMS.