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Binary Logistic Regression

  • S. Sreejesh
  • Sanjay Mohapatra
  • M. R. Anusree
Chapter

Abstract

This chapter discusses a methodology that is more or less analogous to linear regression discussed in the previous chapter, Binary Logistic Regression. In a binary logistic regression, a single dependent variable (categorical: two categories) is predicted from one or more independent variables (metric or non-metric). This chapter also explains what the logistic regression model tells us: Interpretation of regression coefficients and odds ratios using IBM SPSS 20.0. The example detailed in this chapter involves one metric- and four non-metric-independent variables.

Keywords

Logistic Regression Binary Logistic Regression Logistic Regression Coefficient Categorical Independent Variable Account Holder 
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 International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.IBS HyderabadIFHE UniversityHyderabadIndia
  2. 2.Xavier Institute of ManagementBhubaneswarIndia
  3. 3.Department of StatisticsUniversity of KeralaTrivandrumIndia

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