Synopsis
Matrix Properties and Operations.- Simple Linear Regression.- Maximum Likelihood Estimation.- Multiple Regression.- Matrix Decompositions.- Problematic Observations.- Errors and Residuals.- Linearizing Transformations and Nonparametric Smoothers.- Cross-Product Terms and Interactions.- Polynomial Regression.- Categorical Predictors.- Factorial Designs.- Analysis of Covariance.- Moderation.- Mediation.
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