The SAS System 14:20 Monday, May 4, 1992 1 General Linear Models Procedure Class Level Information Class Levels Values SEQ 4 1 2 3 4 TRT 2 A B PERIOD 3 1 2 3 PERSON 5 1 2 3 4 5 Number of observations in data set = 45 General Linear Models Procedure Dependent Variable: Y Sum of Mean Source DF Squares Square F Value Pr > F Model 18 213.61111308 11.86728406 12.63 0.0001 Error 26 24.42666470 0.93948710 Corrected Total 44 238.03777778 R-Square C.V. Root MSE Y Mean 0.897383 3.873642 0.9692714 25.022222 Source DF Type I SS Mean Square F Value Pr > F PERSON(SEQ) 14 178.49111111 12.74936508 13.57 0.0001 TRT 1 7.45344444 7.45344444 7.93 0.0091 CARRY 1 5.52751515 5.52751515 5.88 0.0225 PERIOD 2 22.13904237 11.06952118 11.78 0.0002 Source DF Type III SS Mean Square F Value Pr > F PERSON(SEQ) 14 158.51065394 11.32218957 12.05 0.0001 TRT 1 12.36855157 12.36855157 13.17 0.0012 CARRY 1 4.78155554 4.78155554 5.09 0.0327 PERIOD 2 22.13904237 11.06952118 11.78 0.0002 T for H0: Pr > |T| Std Error of Parameter Estimate Parameter=0 Estimate INTERCEPT 22.85859353 B 35.79 0.0001 0.63875721 PERSON(SEQ) 1 1 3.40000000 B 4.30 0.0002 0.79140681 2 1 0.30000000 B 0.38 0.7077 0.79140681 3 1 3.90000000 B 4.93 0.0001 0.79140681 1 2 5.17036197 B 6.47 0.0001 0.79890829 2 2 0.37036197 B 0.46 0.6468 0.79890829 3 2 4.80369531 B 6.01 0.0001 0.79890829 4 2 4.03702864 B 5.05 0.0001 0.79890829 1 3 1.97036197 B 2.47 0.0206 0.79890829 2 3 3.90369531 B 4.89 0.0001 0.79890829 3 3 3.37036197 B 4.22 0.0003 0.79890829 1 4 -1.30000000 B -1.64 0.1125 0.79140681 General Linear Models Procedure Dependent Variable: Y T for H0: Pr > |T| Std Error of Parameter Estimate Parameter=0 Estimate PERSON(SEQ) 2 4 3.33333333 B 4.21 0.0003 0.79140681 3 4 1.03333333 B 1.31 0.2031 0.79140681 4 4 3.26666667 B 4.13 0.0003 0.79140681 5 4 0.00000000 B . . . TRT A -1.18891408 B -3.63 0.0012 0.32766983 B 0.00000000 B . . . CARRY -0.42679078 -2.26 0.0327 0.18918027 PERIOD 1 -0.42771366 B -1.20 0.2392 0.35509566 2 1.22976123 B 3.47 0.0018 0.35482559 3 0.00000000 B . . . NOTE: The X'X matrix has been found to be singular and a generalized inverse was used to solve the normal equations. Estimates followed by the letter 'B' are biased, and are not unique estimators of the parameters. General Linear Models Procedure Least Squares Means TRT Y Std Err Pr > |T| Pr > |T| H0: LSMEAN LSMEAN H0:LSMEAN=0 LSMEAN1=LSMEAN2 A 24.5562374 0.2206762 0.0001 0.0012 B 25.7451515 0.2206762 0.0001 PERIOD Y Std Err Pr > |T| LSMEAN LSMEAN LSMEAN H0:LSMEAN=0 Number 1 24.4556316 0.2526325 0.0001 1 2 26.1131065 0.2525060 0.0001 2 3 24.8833453 0.2527590 0.0001 3 Pr > |T| H0: LSMEAN(i)=LSMEAN(j) i/j 1 2 3 1 . 0.0001 0.2392 2 0.0001 . 0.0018 3 0.2392 0.0018 . NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. General Linear Models Procedure Class Level Information Class Levels Values TRT 2 A B Number of observations in data set = 15 General Linear Models Procedure Dependent Variable: MY Sum of Mean Source DF Squares Square F Value Pr > F Model 1 15.38108466 15.38108466 4.53 0.0529 Error 13 44.11595238 3.39353480 Corrected Total 14 59.49703704 R-Square C.V. Root MSE MY Mean 0.258518 7.362076 1.8421549 25.022222 Source DF Type I SS Mean Square F Value Pr > F TRT 1 15.38108466 15.38108466 4.53 0.0529 General Linear Models Procedure Least Squares Means TRT MY Std Err Pr > |T| Pr > |T| H0: LSMEAN LSMEAN H0:LSMEAN=0 LSMEAN1=LSMEAN2 A 24.0750000 0.6513001 0.0001 0.0529 B 26.1047619 0.6962691 0.0001