Exp(B) definition

Exp(B) column means the odds ratio of the row independent with the dependent (minority). It is the expected variance in odds for a unit increase in the corresponding independent variable. Odds ratios less than 1 are related to decreases and odds ratios more than 1.0 signifies increases in odds. Odds ratios close to 1.0 show that unit changes in that independent variable do not influence the dependent variable (Garson, 2006).
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Examples of Exp(B) in a sentence

  • Exp(B) Online Network 1.305 (.427) 1 .002 3.687 Online Learn/Plan .373 (.551) 1 .499 1.451 End-to-End Encryption -.318 (.352) 1 .367 .728 Constant -.498 (.289) 1 .086 .608 Table 15 - Event Success Logistic Regression: Step 2 There are two interpretations for these findings.

  • Exp(B) Online Network 1.226 (.416) 1 .003 3.406 Online Learn/Plan .349 (.550) 1 .526 1.417 Constant -.712 (.170) 1 .000 .491 Table 14 - Event Success Logistic Regression: Step 1 Behaviour B(SE) df Sig.

  • Given that there are more instances of failure than success, the former is chosen as the baseline – therefore a positive Exp(B) ratio is indicative of failure.

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