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This workshop will provide participants with an overview of commonly used methods in simple and multiple linear regressions. There will be both lecture and hands-on computer examples, using SPSS. Topics will include: the basic regression model, model assumptions, interpretation of results, significance testing, interactions between variables and the use and interpretation of dummy variables. Analysis of covariance (ANCOVA) models will also be discussed. Model checking methods, including residual plots, assessment of multicollinearity, and influence plots will also be covered. Several methods for selecting a final model will be discussed.

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  • $441 for University of Michigan affiliated faculty, staff and students; $945 for others

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