Hi all
What is the different between multiple regression model and ordinary least square model as I have the same results from both of them
There is no difference. These are two different names for the same thing.
The corrected total and the coeff of variation are results from OLS using proc syslin not included in the the results of multiple regression model using proc reg how can I interpret that
I don't really understand the question.
The estimates from OLS method in proc SYSLIN are equivalent to proc REG estimates. Proc SYSLIN is used to estimate systems of linear equations. In systems of equations, some of the regressors (on the right side) are correlated random variables. In SYSLIN, methods other than OLS correct for the estimation bias caused by this correlation.
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