The SAS System 22:12 Monday, May 24, 1993 1 Correlation Analysis 2 'VAR' Variables: X1 Y Variances and Covariances COV('W','V') / VAR('W') / VAR('V') / DF('W','V') 'W'\'V' X1 Y X1 0.979333799 0.515894571 0.979333799 0.964266270 0.979333799 1.010701613 499 233 Y 0.515894571 1.010701613 1.010701613 1.010701613 0.964266270 1.010701613 233 233 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum X1 500 -0.021468 0.989613 -10.734235 -3.189882 2.690967 Y 234 -0.050115 1.005337 -11.726857 -3.290977 2.352570 Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / Number of Observations X1 Y X1 1.00000 0.52258 0.0 0.0001 500 234 Y 0.52258 1.00000 0.0001 0.0 234 234 The SAS System 22:12 Monday, May 24, 1993 2 Correlation Analysis 2 'VAR' Variables: X1 Y Variances and Covariances COV('W','V') / VAR('W') / VAR('V') / DF('W','V') 'W'\'V' X1 Y X1 0.3361817416 0.1150431502 0.3361817416 0.3731872251 0.3361817416 0.7374704218 252 119 Y 0.1150431502 0.7374704218 0.7374704218 0.7374704218 0.3731872251 0.7374704218 119 119 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum X1 253 0.754347 0.579812 190.849858 0.003914 2.690967 Y 120 0.407237 0.858761 48.868441 -1.423710 2.352570 Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / Number of Observations X1 Y X1 1.00000 0.21929 0.0 0.0161 253 120 Y 0.21929 1.00000 0.0161 0.0 120 120