which can vary from 1.00 to 1.00. A regression weight (sometimes called a b weight) is a multiplier term added to each predictor variable in a regression equation in order to maximize the predictive value of the variables. The b weights were converted to beta (B) weights. Beta weights are the regression weights in a multiple regression equation in which all the variables in the equation are in standard score form. Some researchers prefer beta weights because they form an absolute scale. For example
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which can vary from 1.00 to 1.00. A regression weight (sometimes called a b weight) is a multiplier term added to each predictor variable in a regres
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