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The document describes the forward and backward selection methods for multiple linear regression. The forward method starts with no predictors in the model and sequentially adds predictors based on their contribution to explaining the dependent variable. The backward method starts with all predictors in the model and sequentially removes predictors that do not significantly contribute to explaining the dependent variable. Two examples are provided applying the forward and backward selection methods to d

Author
Felix Llamera
Language
EN

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