LO
Explain the principles of logistic regression (probabilities, odds, log odds)
Discuss how logistic regression can be applied in a business context
Run a logistic regression using SAS Visual Analytics (SAS VA)
Interpret and discuss the outputs produced by a logistic regression model
Explain the relationship between logistic regression and the generalized linear model (GLM).

Principles of logistic regression

Probabilities/Odds
Odds(P1) = P1/(1-P1)

Logarithms and logit

Parameter estimation

Sample size
much larger than MLR/
the minimum sample size should also be 20 times the number of IVs
to avoid sparsity, for each group in the DV there needs to be at least 10 observations per estimated parameter (IV)

Running a logistic regression with SAS VA