An additional assumption for multiple linear regression is that of no collinearity between the explanatory variables, meaning they should not be highly correlated with each other to allow reliable ...

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 ...

The CATMOD procedure can perform linear regression and logistic regression of response functions for data that can be represented in a contingency table. See Chapter 5, "Introduction to Categorical ...

Similar to linear regression, correlation among multiple predictors is a challenge to fitting logistic regression. For instance, if we are fitting a logistic regression for professional basketball ...

Investopedia / Michela Buttignol Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression ...