Location of Several Outliers in Multiple-Regression Data Using Elemental Sets Douglas M. Hawkins, Dan Bradu and Gordon V. Kass Technometrics , pp. 197-208 (12 pages) ...

Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

A sequential regression or chained equations imputation approach uses a Gibbs sampling-type iterative algorithm that imputes the missing values using a sequence of conditional regression models. It is ...

Multiple regression models with survey data Regression becomes a more useful tool when researchers want to look at multiple factors simultaneously. If we want to know whether the racial divide ...