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.

Multiple regression equations designed to explain or predict should be validated. This tutorial shows how recalculation of the coefficient of determination on hold-out sample data or new sample data ...

Furthermore, constraints may help reduce the parameter value space that the regression routine has to sample, which is particularly useful for regression equations containing many parameters.

This course consists of two sections: Section 1 demonstrates linear regression to model the linear relationship between a response and predictor(s) when both the response and predictors are continuous ...

Hierarchical regression and structural equation modeling are suggested as analyses to use in life course research. Secondary analysis was performed on the Early Head Start Research and Evaluation ...

This newest book in the series continues in this vein, opening with a refresher on the basic math needed for regression analysis, before teaching readers how to calculate regression equations, assess ...