An Introduction to Bivariate Regression

  • David Weisburd
  • Chester Britt
Chapter

Abstract

In the previous chapter, we asked how strongly two interval-level variables were correlated. In this chapter, we ask a related question that is central to much statistical analysis in criminology and criminal justice: Can we predict the level of one interval-level variable from the value of another? As in the description of specific measures of association for nominal and ordinal variables in Chapter 13, in regression analysis we must define which variable is the independent variable, or predictor variable, and which variable is the dependent variable, or the variable being predicted. We also introduce the idea of regression modeling in this chapter. our discussion focuses on how regression analysis is used to create a prediction model and the statistics that researchers use to evaluate such models.

Keywords

Regression Coefficient Regression Line Unemployment Rate Criminal Justice Ordinary Little Square Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • David Weisburd
    • 1
    • 2
  • Chester Britt
    • 3
  1. 1.Faculty of Law Institute of CriminologyHebrew University of JerusalemJerusalemIsrael
  2. 2.Department of Criminology, Law and SocietyGeorge Mason UniversityFairfaxUSA
  3. 3.School of Criminology and Criminal JusticeNortheastern UniversityBostonUSA

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