A follow-up course of Regression Analysis for the Education Sciences I, focusing on various theoretical extensions of multiple linear regression and their applications. Topics include the weighted least square and maximum likelihood estimation, nonlinear regression, nonparametric regression, generalized linear models for discrete data (e.g., logistic and Poisson regression), and bootstrapping.