Regression Analysis in R: A Comprehensive View for the Social
Sciences covers the basic applications of multiple linear regression
all the way through to more complex regression applications and
extensions. Written for graduate level students of social science
disciplines this book walks readers through bivariate correlation giving
them a solid framework from which to expand into more complicated
regression models. Concepts are demonstrated using R software and real
data examples.
Key Features:
Full output examples complete with interpretation
Full syntax examples to help teach R code
Appendix explaining basic R functions
Methods for multilevel data that are often included in basic regression
texts
End of Chapter Comprehension Exercises