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The forward selection method of stepwise regression
Multiple Choice
requires nonlinear estimation using maximum likelihood.
starts with all the predictors in the model and deletes the weaker ones.
adds predictors one at a time starting with the best single predictor.
runs all possible models and then chooses the best fitting one.
Sagot :
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