The SAS System 22:13 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 1.003477591 0.104177858 1.003477591 0.769063499 1.003477591 0.287168276 499 250 Y 0.104177858 0.287168276 0.287168276 0.287168276 0.769063499 0.287168276 250 250 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum X1 500 -0.020814 1.001737 -10.407160 -3.227208 2.980947 Y 251 0.737955 0.535881 185.226821 0.000098849 2.335264 Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / Number of Observations X1 Y X1 1.00000 0.22168 0.0 0.0004 500 251 Y 0.22168 1.00000 0.0004 0.0 251 251 The SAS System 22:13 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 0.3127685188 0.0307756781 0.3127685188 0.3464417712 0.3127685188 0.3198407703 257 175 Y 0.0307756781 0.3198407703 0.3198407703 0.3198407703 0.3464417712 0.3198407703 175 175 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum X1 258 0.749804 0.559257 193.449304 0.000990 2.980947 Y 176 0.811963 0.565545 142.905535 0.008496 2.335264 Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / Number of Observations X1 Y X1 1.00000 0.09245 0.0 0.2223 258 176 Y 0.09245 1.00000 0.2223 0.0 176 176