Logistic Regression
We use the logistic regression equation to predict the probability of a
dependent variable taking the dichotomy values 0 or 1. Suppose x1, x2,
..., xp are the independent variables, α and βk (k = 1, 2, ..., p) are the
parameters, and E(y) is the expected value of the dependent variable y, then the
logistic regression equation is:
For example, in the built-in data set mtcars, the data column am represents the transmission type of the automobile model (0 = automatic, 1 = manual). With the logistic regression equation, we can model the probability of a manual transmission in a vehicle based on its engine horsepower and weight data.
