Binary Logistic Regression

S. Sreejesh (), Sanjay Mohapatra () and M. R. Anusree ()
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S. Sreejesh: IFHE University
Sanjay Mohapatra: Xavier Institute of Management
M. R. Anusree: University of Kerala

Chapter Chapter 11 in Business Research Methods, 2014, pp 245-258 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-00539-3_11

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DOI: 10.1007/978-3-319-00539-3_11

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