The SAS System 1 ----------------------------------- died=0 ----------------------------------- The CORR Procedure 5 Variables: x1 x2 x3 x4 x5 Covariance Matrix, DF = 20 x1 x2 x3 x4 x5 x1 11.04761905 9.10000000 1.55666667 0.87000000 1.28619048 x2 9.10000000 17.50000000 1.91000000 1.31000000 0.88000000 x3 1.55666667 1.91000000 0.53133333 0.18900000 0.23966667 x4 0.87000000 1.31000000 0.18900000 0.17600000 0.13250000 x5 1.28619048 0.88000000 0.23966667 0.13250000 0.57490476 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum x1 21 157.38095 3.32380 3305 153.00000 164.00000 x2 21 241.00000 4.18330 5061 235.00000 248.00000 x3 21 31.43333 0.72893 660.10000 30.30000 32.80000 x4 21 18.50000 0.41952 388.50000 17.70000 19.30000 x5 21 20.80952 0.75822 437.00000 19.60000 22.00000 Pearson Correlation Coefficients, N = 21 x1 x2 x3 x4 x5 x1 1.00000 0.65447 0.64251 0.62392 0.51036 x2 0.65447 1.00000 0.62637 0.74644 0.27744 x3 0.64251 0.62637 1.00000 0.61805 0.43364 x4 0.62392 0.74644 0.61805 1.00000 0.41654 x5 0.51036 0.27744 0.43364 0.41654 1.00000 The SAS System 2 ----------------------------------- died=1 ----------------------------------- The CORR Procedure 5 Variables: x1 x2 x3 x4 x5 Covariance Matrix, DF = 27 x1 x2 x3 x4 x5 x1 15.06878307 17.19047619 2.24285714 1.74603175 2.93068783 x2 17.19047619 32.55026455 3.39788360 2.95026455 4.06560847 x3 2.24285714 3.39788360 0.72841270 0.46955026 0.55902116 x4 1.74603175 2.95026455 0.46955026 0.43443122 0.50588624 x5 2.93068783 4.06560847 0.55902116 0.50588624 1.32099206 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum x1 28 158.42857 3.88185 4436 152.00000 165.00000 x2 28 241.57143 5.70528 6764 230.00000 252.00000 x3 28 31.47857 0.85347 881.40000 30.10000 33.40000 x4 28 18.44643 0.65911 516.50000 17.20000 19.80000 x5 28 20.83929 1.14934 583.50000 18.60000 23.10000 Pearson Correlation Coefficients, N = 28 x1 x2 x3 x4 x5 x1 1.00000 0.77620 0.67698 0.68242 0.65687 x2 0.77620 1.00000 0.69782 0.78455 0.62001 x3 0.67698 0.69782 1.00000 0.83470 0.56989 x4 0.68242 0.78455 0.83470 1.00000 0.66779 x5 0.65687 0.62001 0.56989 0.66779 1.00000 The SAS System 3 T2 FCRIT SCALEDT2 PVAL 2.8236983 13.292455 0.5166767 0.7621709 LOWLIM UPLIM -4.894219 2.7989807 -5.953057 4.8102004 -0.890206 0.7997294 -0.545934 0.6530765 -1.084082 1.024558 AHAT -0.155326 -0.026491 -0.092858 1.0324739 0.0693251 The SAS System 4 The GLM Procedure Class Level Information Class Levels Values died 2 0 1 Number of observations 49 The SAS System 5 The GLM Procedure Multivariate Analysis of Variance Characteristic Roots and Vectors of: E Inverse * H, where H = Type III SSCP Matrix for died E = Error SSCP Matrix Characteristic Characteristic Vector V'EV=1 Root Percent x1 x2 x3 x4 x5 0.06007869 100.00 -0.04670634 -0.00796570 -0.02792222 0.31046426 0.02084602 0.00000000 0.00 -0.01649414 0.00387944 0.00100780 -0.17201237 0.19495433 0.00000000 0.00 -0.00866745 -0.01497602 0.27952302 -0.09319925 0.00000000 0.00000000 0.00 -0.03200325 0.04548941 0.03508868 -0.11099040 0.00000000 0.00000000 0.00 0.02883153 -0.01588977 -0.09839483 0.31123661 0.00000000 MANOVA Test Criteria and Exact F Statistics for the Hypothesis of No Overall died Effect H = Type III SSCP Matrix for died E = Error SSCP Matrix S=1 M=1.5 N=20.5 Statistic Value F Value Num DF Den DF Pr > F Wilks' Lambda 0.94332620 0.52 5 43 0.7622 Pillai's Trace 0.05667380 0.52 5 43 0.7622 Hotelling-Lawley Trace 0.06007869 0.52 5 43 0.7622 Roy's Greatest Root 0.06007869 0.52 5 43 0.7622