Given the following output of a proc reg: Root MSE Dependent Mean Coeff Var 2849.14613 R-Square 0.6827 24735 Adj R-Sq 0.6583 11.51853 DF Variable Label Intercept Intercept X1 X1 Parameter Estimates Parameter Standard Estimate Error t Value Pr> 1t| -53423 14796 -3.61 0.0032 271.99957 5.29 0.0001 95% Confidence Limits -85387 -21458 1 1 160.89690 383.10225 The standard error of X1 is The proportion of total variation in Y that is predictable from the variations in X in the population is % and we can expect the true beta of X1 in the population to fall between and 95% of the time. Given the following output of a proc reg: Root MSE Dependent Mean Coeff Var 2849.14613 R-Square 0.6827 24735 Adj R-Sq 0.6583 11.51853 DF Variable Label Intercept Intercept X1 X1 Parameter Estimates Parameter Standard Estimate Error t Value Pr> 1t| -53423 14796 -3.61 0.0032 271.99957 5.29 0.0001 95% Confidence Limits -85387 -21458 1 1 160.89690 383.10225 The standard error of X1 is The proportion of total variation in Y that is predictable from the variations in X in the population is % and we can expect the true beta of X1 in the population to fall between and 95% of the time