The final table is the coefficients of the variables. This equation tells us nothing about the relative important of each variable. The values for the coefficients reflect the original units in which the variables were measured. Therefore, we can not conclude that years of experience with a larger coefficient than age is a more important variable. The column on the table headed Beta gives us more information about the relative importance of the variables.
Beta contains standardized coefficients.
A change of one standard deviation in year will produce a change of 0.365 standard deviation in total sales . A change of one standard deviation in age will produce a change of only 0.05 standard deviation in total sales . It should also be noted that the independent variable with the largest beta weight also has the largest correlation with the dependent variable. Conclusion You should now be able to conduct and interpret a regression analysis, be it simple or multiple regression.