Foundational Regression – Using Regression for Prediction (14-3)

Foundational Regression explains how regression equations predict outcomes from predictor variables, minimize residual error through least squares, assess model variability with the F ratio and r², and avoid unreliable predictions by not extrapolating beyond observed data ranges.