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Logistic Regression

  • Richard M. Heiberger
  • Burt Holland
Part of the Springer Texts in Statistics book series (STS)

Abstract

Logistic regression is a technique similar to multiple regression with the new feature that the predicted response is a probability. Logistic regression is appropriate in the often-encountered situation where we wish to model a dependent variable which is either
  • dichotomous: The dependent variable can assume only the two possible values 0 and 1 (often as a coding of a two-valued categorical variable such as Male/Female or Treatment/Control).

  • sample proportion: The dependent variable is a probability and hence confined to the interval (0, 1).

Keywords

Logistic Regression Sample Proportion Logit Scale Logistic Regression Coefficient Prediction Band 
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.

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Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Richard M. Heiberger
    • 1
  • Burt Holland
    • 1
  1. 1.Department of StatisticsTemple UniversityPhiladelphiaUSA

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