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.

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