The Root Mean Square Error is effectively the standard deviation of the residuals. Technically, there is a slight difference as the Root Mean Square error is more appropriat as it divides the Residual Sum of Squares by the error df, while the standard deviation would divide the residual sum of squares by n-1. I'm not sure what you are showing me in table 2 but PROC REG does not perform autocorrelation without manipulation of the input variables. You might want to look into PROC ARIMA or PROC AUTOREG if you have SAS/ETS.
... View more
