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Principles of Regression Analysis1 Simple Linear Regression 2 Multiple Linear Regression 3 Model Selection 4 Examining the Data and Model Assumptions 5 The Constant Variance and Normality Assumptions 6 Multicollinearity 7 Biased Regression Techniques 8 Using the REG Procedure Interactively 9 Special Topics This course is designed for students with a working knowledge of the SAS System and a basic understanding of statistical principles. COURSE OBJECTIVES After completion of this course the student will be able to: |