forward selection

a technique used in creating multiple regression models in which independent variables from a large set of such variables are added to the regression equation in the order of their predictive power (i.e., largest to smallest increase in the coefficient of multiple determination) until a preset criterion is reached and there is no further significant change in the model’s predictive power. Also called forward inclusion; forward stepwise regression; stepup selection. See also F-to-enter; F-to-remove.

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Psychology term of the day

February 17th 2025

panacea

n. a solution or remedy for everything that is wrong with a given problem or that universally applies to a set of related problems.