To ensure that multiple regression will be more precise than unit weighting,there must be a small number of predictors,low correlations between predictors,and a large sample.

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When there are a small number of predictors, low correlations between predictors, and a large sample, multiple regression will be able to more accurately identify the unique contributions of each predictor to the outcome. This results in more precise estimates compared to unit weighting, where each predictor is given equal weight regardless of its unique contribution.

To Ensure That Multiple Regression Will Be More Precise Than