Advertisement

Regression Models

  • Michael O. Finkelstein
  • Bruce Levin
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Abstract

Multiple regression is a statistical technique for estimating relationships between variables that has become a key tool in mathematical economics (econometrics) and in the social sciences. By these routes it has invaded the law. The principal applications have been in antidiscrimination class action litigation, but the technique has also been applied in a variety of other legal contexts—antitrust price-fixing, securities market manipulation, litigation over capital punishment, attacks on bail, and others. It is now so easy to fit models to data by computer that multiple regression and related techniques are likely to become even more widely used—and probably also abused—in cases involving statistical proof.

Keywords

Explanatory Variable Ordinary Little Square Prediction Interval Regression Estimate Multiple Correlation Coefficient 
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, LLC 2015

Authors and Affiliations

  • Michael O. Finkelstein
    • 1
  • Bruce Levin
    • 2
  1. 1.New YorkUSA
  2. 2.Department of BiostatisticsColumbia University Mailman School of Public HealthNew YorkUSA

Personalised recommendations