Multiple_Regression_Analysis - Interpreting Multiple...

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Interpreting Multiple Regression: A Short Overview Abdel-Salam G. Abdel-Salam L aboratory for I nterdisciplinary S tatistical A nalysis ( LISA ) D epartment o f S tatistics Virginia Polytechnic Institute and State University Short Course November the 12 th , 2008 Abdel-Salam G. Abdel-Salam © (Virginia Tech) Short Course 2008, LISA, Department of Statistics November the 12 th , 2008 1 / 42
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Learning Objectives Today , we will cover how to do Linear Regression Analysis (LRA) in SPSS and SAS We will learn concepts and vocabularies in regression analysis such as: 1 How to use the F-test to determine if your predictor variables have a statistically significant relationship with your outcome/response variable? 2 What are the assumptions for LRA and what you should do to meet these assumptions ? 3 Why adjusted R 2 is smaller than R 2 and what these numbers mean when comparing between several models? 4 What is the difference between regression and ANOVA and when are they equivalent? 5 How can you select the best model ? 6 Other LR problems (Multicollinearity and Outliers observations) , what you should do?? 7 General Strategy for doing LRA ? PLEASE think about your research problem??? Abdel-Salam G. Abdel-Salam © (Virginia Tech) Short Course 2008, LISA, Department of Statistics November the 12 th , 2008 2 / 42
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Learning Objectives Today , we will cover how to do Linear Regression Analysis (LRA) in SPSS and SAS We will learn concepts and vocabularies in regression analysis such as: 1 How to use the F-test to determine if your predictor variables have a statistically significant relationship with your outcome/response variable? 2 What are the assumptions for LRA and what you should do to meet these assumptions ? 3 Why adjusted R 2 is smaller than R 2 and what these numbers mean when comparing between several models? 4 What is the difference between regression and ANOVA and when are they equivalent? 5 How can you select the best model ? 6 Other LR problems (Multicollinearity and Outliers observations) , what you should do?? 7 General Strategy for doing LRA ? PLEASE think about your research problem??? Abdel-Salam G. Abdel-Salam © (Virginia Tech) Short Course 2008, LISA, Department of Statistics November the 12 th , 2008 2 / 42
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Learning Objectives Today , we will cover how to do Linear Regression Analysis (LRA) in SPSS and SAS We will learn concepts and vocabularies in regression analysis such as: 1 How to use the F-test to determine if your predictor variables have a statistically significant relationship with your outcome/response variable? 2 What are the assumptions for LRA and what you should do to meet these assumptions ? 3 Why adjusted R 2 is smaller than R 2 and what these numbers mean when comparing between several models? 4 What is the difference between regression and ANOVA and when are they equivalent?
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