In multiple regression, model selection aims to choose the most _______ model that best predicts the response variable.
- complex
- overfit
- parsimonious
- simple
In multiple regression, model selection aims to choose the most parsimonious model that best predicts the response variable. A parsimonious model is a model that accomplishes the desired level of explanation or prediction with as few predictor variables as possible.
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