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LISA short course "Interpreting Multiple Regression"
(Academic)
The fifth and final LISA (Laboratory for Interdisciplinary Statistical Analysis) short course for Fall 2008 will be "How to Do a Linear Regression and Interpret Your Results."
In this short course we will cover how to analyze simple and multiple linear regression models. You will learn concepts in linear regression 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 linear regression analysis and what you should do to meet these assumptions?
3) Why adjusted R2 is smaller than R2 and what these numbers mean when comparing between several models.
4) For which predictors are the regression coefficients significantly different than zero and how can you select the significant variables?
5) What is the difference between regression and ANOVA and when are they equivalent?
Examples will be given in SPSS and SAS. At the end of the course statistical collaborators from LISA will be on hand to answer specific questions about your research.
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