BACKWARD ELIMINATION

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refers to a form of stepwise regression in which the least important variables are systematically removed from the prediction equation. Eventually, a preset criterion is reached.

BACKWARD ELIMINATION: "Backward elimination is a statistical procedure that removes the least important variables in a step-wise manner, leaving only the most important ones."
Cite this page: N., Sam M.S., "BACKWARD ELIMINATION," in PsychologyDictionary.org, April 7, 2013, https://psychologydictionary.org/backward-elimination/ (accessed August 17, 2022).

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