Any association that was significant as a simple correlation will be significant in a multiple regression equation predicting the same criterion variable.

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In multiple regression, the significance of an association between a predictor and the criterion variable can change due to the inclusion of other variables. This is because multiple regression accounts for the shared variance among predictors, which can alter the significance and strength of individual associations that appeared significant in simple correlations.

Any Association That Was Significant as a Simple Correlation Will