<Table> <Tr> <Td> </Td> <Td> This article needs attention from an expert in statistics . Please add a reason or a talk parameter to this template to explain the issue with the article . WikiProject Statistics may be able to help recruit an expert . (March 2017) </Td> </Tr> </Table> <Tr> <Td> </Td> <Td> This article needs attention from an expert in statistics . Please add a reason or a talk parameter to this template to explain the issue with the article . WikiProject Statistics may be able to help recruit an expert . (March 2017) </Td> </Tr> <P> In statistics, standardized coefficients or beta coefficients are the estimates resulting from a regression analysis that have been standardized so that the variances of dependent and independent variables are 1 . Therefore, standardized coefficients refer to how many standard deviations a dependent variable will change, per standard deviation increase in the predictor variable . For univariate regression, the absolute value of the standardized coefficient equals the correlation coefficient . Standardization of the coefficient is usually done to answer the question of which of the independent variables have a greater effect on the dependent variable in a multiple regression analysis, when the variables are measured in different units of measurement (for example, income measured in dollars and family size measured in number of individuals). </P> <P> Some statistical software packages like PSPP, SPSS and SYSTAT label the standardized regression coefficients as "Beta" while the unstandardized coefficients are labeled "B". Others, like DAP / SAS label them "Standardized Coefficient". Sometimes the unstandardized variables are also labeled as "b". </P>

What is the standardized coefficient in a regression
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