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.

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 ...

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 ...

Regression discrepancy-model equations fail to account for the common practice of obtaining more than one achievement score for a discrepancy area (e.g., reading comprehension). This article presents ...

Using historical data and regression analysis has its limitations in business forecasting. For example, a significant correlation between the independent and dependent variable does not ...

The Income Tax department is utilizing AI to develop regression models for identifying tax filing errors and deviations, streamlining assessments. The department has embraced technology for easier ...