 For simple linear regression with orthogonal predictors, the standardized regression coefficient equals the correlation between the independent and dependent variables.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).A regression carried out on original (unstandardized) variables produces unstandardized coefficients.