Logistic Regression
by Carlos Ricco
1. Logistic Model
1.1. R package: glm
2. Estimating the Regression Coefficients: -Estimates for B0 & B1 such that the predicted probability corresponds as closely as possible to the individual’s observed.
3. Goal: -Build a model to predict Y -The response variable falls into one of two categories, Yes or No.
