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 interpretationFull syntax examples to help teach R codeAppendix explaining basic R functionsMethods for multilevel data that are often included in basic regression textsEnd of Chapter Comprehension Exercises
Key Features:
Full output examples complete with interpretationFull syntax examples to help teach R codeAppendix explaining basic R functionsMethods for multilevel data that are often included in basic regression textsEnd of Chapter Comprehension Exercises