Standardized coefficients are numerical values in multiple regression analysis that indicate the strength and direction of the relationship between predictor variables and the outcome variable, while accounting for the scale of measurement. They allow for comparisons between different predictors, as these coefficients are calculated after standardizing the variables to have a mean of zero and a standard deviation of one. This standardization helps in interpreting how many standard deviations the dependent variable will change, on average, when the independent variable increases by one standard deviation.
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