Specify the model by first naming the dependent variable and then listing the regressors after an equal sign, as is done in other SAS regression procedures. The following statements regress Y on TIME ...

Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and is appropriate for analyzing continuous dependent variables that meet certain distributional ...

In addition to the mixed-effects model, we also estimated an ordinary least squares (OLS) regression with country dummy variables, survey weights and clustered standard errors, and an OLS regression ...

Equivalence of fixed effects model and dummy variable regression Estimating a fixed effects model is equivalent to adding a dummy variable for each subject or unit of interest in the standard OLS ...

At times it is desirable to have independent variables in the model that are qualitative rather than quantitative. This is easily handled in a regression framework ... between the size and type of ...