It can be useful to visualize the sigmoid function, the key characteristic of a logistic regression model (Figure 1). The purpose of the function is to transform a probability (as a real number) into ...

Figure 2: Logistic Regression Explained with a Graph . When graphed, the logistic sigmoid function has an "S" shape centered around z = 0. The magnitude of the graph ranges between 0 and 1. ... and ...

Logistic regression employs a logistic function with a sigmoid (S-shaped) curve to map linear combinations of predictions and their probabilities. Sigmoid functions map any real value into ...

See Chapter 4, "Introduction to Analysis-of-Variance Procedures," and Chapter 30, "The GLM Procedure," for more details. The CATMOD procedure can perform linear regression and logistic regression of ...