University of Pittsburgh School of Education


Various types of regression analyses will be covered such as simple linear regression, multiple regression, nonlinear regression, and logistic regression. Model selection, validation, residual analysis, diagnostics, and remedial measures of regression analyses will be discussed. Some of the remedial measures that will be covered are robust regression, ridge regression and bootstrapping. Regression analyses of qualitative and quantitative predictors as well as interaction effects of these variables will also be covered. These topics will use matrix algebra which will be introduced in class. SAS will be used.

Credits: 3.0

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