Logistic regression can be thought of as an extension to, or a special case of, linear regression ... and when including other variables in a multiple logistic regression (such as age, sex and ...

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 ...

Getty Images, Cultura RM Exclusive/yellowdog Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class ...

Image source: World Map Courtesy of NASA ... The growth of the stock market, for example, might be predicted using multiple linear regression. Logistic regression. In logistics regression ...

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 ...