A principal component analysis of a correlation matrix treats all variables as equally important. A principal component analysis of a covariance matrix gives more weight to variables with larger ...

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Note: You can also create variables with the FGET function. See SAS Language Reference: Dictionary for more information. In a DATA step, you can create a new variable and assign it a value by using it ...