Understanding Logistics regression

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The basis

  • Logistics or Logit regression.
  • It’s a regression model where the dependent variable (DV) is categorical.
  • Outcome follows a Bernoulli distribution.
  • Success = 1 , failure = 0.
  • Natural logarithm of odds ratio ln (p/1-p)… logit(p).
  • Inverse log curve gives a nice “s” curve to work with.
  • Equate logarithm of odds ratio with regression line equation.
  • Solve for probability p

Example

Continue learning the basis !

 

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