4. A student is trying to fit a model to a dataset, and has a large number of potential predictors. They claim that the best
4. A student is trying to fit a model to a dataset, and has a large number of potential predictors. They claim that the best approach is to use every single predictor (3) we can, as it will more closely predict the observed values (y) that the model is attempting to fit. The student's suggestion is not a good idea - why? Is there a more measured approach you would recommend
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