1) In elimination, we would identify the predictor corresponding to the largest p- value. If the...

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1) In elimination, we would identify the predictor corresponding to the largest p- value. If the p-value is above the significance level, then we would drop that variable, refit the model, and repeat the process. If the largest p-value is below the significance level, then we would not eliminate any predictors and the current model would be our best-fitting model. \ forward backward sudden death 1) In elimination, we would identify the predictor corresponding to the largest p- value. If the p-value is above the significance level, then we would drop that variable, refit the model, and repeat the process. If the largest p-value is below the significance level, then we would not eliminate any predictors and the current model would be our best-fitting model. \ forward backward sudden death