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Unformatted text preview: Regression Methods: 563 Instructor: Sara L opezPintado Email: saral@stat.rutgers.edu Department of Statistics Rutgers University Spring, 2006 Introduction 1 Course Information Office Hours: 4:306:30, Thursday or by appointment Text book: Applied Linear Regression Models, M. Kutner, C. Nachtsheim and J. Neter, McGrawHill, 2004, 4th edition References: Introduction to Linear Regression Analysis, D. Montgomery and E. Peck, Wiley, 1992 Statistical for Experimenters, G. Box, W. Hunter and J. Hunter, Wiley, 1978 These handouts will be available for you in my webpage http : //www.stat.rutgers.edu/ saral/ Introduction 2 Grading Policy: The grading will be given based on the exams, homework and project: Exams: There will be two exams, a midterm (March 9) and a final (May 4). Both are closed books and closed notes. Homework: Homework problems will be assigned on a regular basis. Some homework will be collected and graded. Many problems require use of computer packages such as R, Matlab, SPSS, SAS, Minitab, Statgraphics,......
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