Abstract
This chapter covers linear and logistic regression modeling. The two primary functions used in this chapter are lm() and glm(). Functions that support lm() and glm() are also covered, such as summary() to print out model summary statistics and anova() to compare nested linear models.
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© 2012 Springer Science+Business Media, LLC
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Li, Y., Baron, J. (2012). Linear and Logistic Regression. In: Behavioral Research Data Analysis with R. Use R!. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1238-0_6
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DOI: https://doi.org/10.1007/978-1-4614-1238-0_6
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-1237-3
Online ISBN: 978-1-4614-1238-0
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