# 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 !*