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Multiple Regression: Additional Topics

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Advanced Statistics in Criminology and Criminal Justice
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Abstract

This chapter addresses several topics related to fitting ordinary least squares (OLS) multiple regression models. These were as follows: How to include nominal independent variables with three or more categories into a model, how to estimate nonlinear relationships, how and why to transform variables, how to test for interactions between two independent variables, and how to assess for multicollinearity.

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Notes

  1. 1.

    We recognize that gender is not strictly binary, with some individuals being intersex at birth, and that gender includes male and female as well as nonbinary, transgender, and other identities. However, it is still common in the social sciences to treat this as a binary construct.

  2. 2.

    These data are available through the National Archive of Criminal Justice Data and can be accessed at https://www.icpsr.umich.edu/NACJD.

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Correspondence to David Weisburd .

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Weisburd, D., Wilson, D.B., Wooditch, A., Britt, C. (2022). Multiple Regression: Additional Topics. In: Advanced Statistics in Criminology and Criminal Justice. Springer, Cham. https://doi.org/10.1007/978-3-030-67738-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-67738-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67737-4

  • Online ISBN: 978-3-030-67738-1

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