General Linear Models Procedure Class Level Information Class Levels Values H89 3 0 50 100 FOR 3 0 1 5 Number of observations in data set = 53 General Linear Models Procedure Dependent Variable: ASPERA Sum of Mean Source DF Squares Square F Value Pr > F Model 8 5.99402797 0.74925350 19.33 0.0001 Error 44 1.70538037 0.03875864 Corrected Total 52 7.69940833 R-Square C.V. Root MSE ASPERA Mean 0.778505 40.13900 0.1968722 0.4904760 Source DF Type I SS Mean Square F Value Pr > F H89 2 3.25268591 1.62634296 41.96 0.0001 FOR 2 1.14317037 0.57158518 14.75 0.0001 H89*FOR 4 1.59817168 0.39954292 10.31 0.0001 Source DF Type II SS Mean Square F Value Pr > F H89 2 3.37408287 1.68704143 43.53 0.0001 FOR 2 1.14317037 0.57158518 14.75 0.0001 H89*FOR 4 1.59817168 0.39954292 10.31 0.0001 Source DF Type III SS Mean Square F Value Pr > F H89 2 3.27264759 1.63632379 42.22 0.0001 FOR 2 1.08621925 0.54310963 14.01 0.0001 H89*FOR 4 1.59817168 0.39954292 10.31 0.0001 T for H0: Pr > |T| Std Error of Parameter Estimate Parameter=0 Estimate INTERCEPT 0.1455920110 B 1.81 0.0769 0.08037272 H89 0 0.8433687118 B 7.42 0.0001 0.11366419 50 0.2297332036 B 2.02 0.0494 0.11366419 100 0.0000000000 B . . . FOR 0 -.0336536752 B -0.28 0.7790 0.11921201 1 0.0862555654 B 0.76 0.4520 0.11366419 5 0.0000000000 B . . . H89*FOR 0 0 -.7043340959 B -4.28 0.0001 0.16471506 General Linear Models Procedure Dependent Variable: ASPERA T for H0: Pr > |T| Std Error of Parameter Estimate Parameter=0 Estimate H89*FOR 0 1 0.0094171669 B 0.06 0.9535 0.16074544 0 5 0.0000000000 B . . . 50 0 0.1880310283 B 1.14 0.2598 0.16471506 50 1 0.1706408609 B 1.06 0.2942 0.16074544 50 5 0.0000000000 B . . . 100 0 0.0000000000 B . . . 100 1 0.0000000000 B . . . 100 5 0.0000000000 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 H89 ASPERA Std Err Pr > |T| LSMEAN LSMEAN H0:LSMEAN=0 0 0.77485571 0.04640321 0.0001 50 0.51241647 0.04640321 0.0001 100 0.16312597 0.04792503 0.0014 FOR ASPERA Std Err Pr > |T| LSMEAN LSMEAN H0:LSMEAN=0 0 0.29753795 0.04792503 0.0001 1 0.64956756 0.04640321 0.0001 5 0.50329265 0.04640321 0.0001 General Linear Models Procedure Class Level Information Class Levels Values H89 3 0 50 100 FOR 3 0 1 5 DATE 3 14 15 22 Number of observations in data set = 53 General Linear Models Procedure Dependent Variable: ASPERA Sum of Mean Source DF Squares Square F Value Pr > F Model 10 6.11851067 0.61185107 16.26 0.0001 Error 42 1.58089766 0.03764042 Corrected Total 52 7.69940833 R-Square C.V. Root MSE ASPERA Mean 0.794673 39.55574 0.1940114 0.4904760 Source DF Type I SS Mean Square F Value Pr > F DATE 2 0.12726737 0.06363368 1.69 0.1967 H89 2 3.24962143 1.62481071 43.17 0.0001 FOR 2 1.14537391 0.57268696 15.21 0.0001 H89*FOR 4 1.59624797 0.39906199 10.60 0.0001 Source DF Type III SS Mean Square F Value Pr > F DATE 2 0.12448271 0.06224135 1.65 0.2036 H89 2 3.27007412 1.63503706 43.44 0.0001 FOR 2 1.08600201 0.54300100 14.43 0.0001 H89*FOR 4 1.59624797 0.39906199 10.60 0.0001 General Linear Models Procedure Least Squares Means H89 ASPERA Std Err Pr > |T| LSMEAN LSMEAN LSMEAN H0:LSMEAN=0 Number 0 0.77485571 0.04572892 0.0001 1 50 0.51241647 0.04572892 0.0001 2 100 0.16288405 0.04729723 0.0013 3 Pr > |T| H0: LSMEAN(i)=LSMEAN(j) i/j 1 2 3 1 . 0.0002 0.0001 2 0.0002 . 0.0001 3 0.0001 0.0001 . NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. FOR ASPERA Std Err Pr > |T| LSMEAN LSMEAN LSMEAN H0:LSMEAN=0 Number 0 0.29729603 0.04729723 0.0001 1 1 0.64956756 0.04572892 0.0001 2 5 0.50329265 0.04572892 0.0001 3 Pr > |T| H0: LSMEAN(i)=LSMEAN(j) i/j 1 2 3 1 . 0.0001 0.0032 2 0.0001 . 0.0289 3 0.0032 0.0289 . NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. General Linear Models Procedure Least Squares Means H89 FOR ASPERA Std Err Pr > |T| LSMEAN LSMEAN LSMEAN H0:LSMEAN=0 Number 0 0 0.25097295 0.07920482 0.0029 1 0 1 1.08463346 0.07920482 0.0001 2 0 5 0.98896072 0.07920482 0.0001 3 50 0 0.52970257 0.07920482 0.0001 4 50 1 0.63222164 0.07920482 0.0001 5 50 5 0.37532521 0.07920482 0.0001 6 100 0 0.11121257 0.08710018 0.2087 7 100 1 0.23184758 0.07920482 0.0055 8 100 5 0.14559201 0.07920482 0.0731 9 Pr > |T| H0: LSMEAN(i)=LSMEAN(j) i/j 1 2 3 4 5 6 7 8 9 1 . 0.0001 0.0001 0.0169 0.0015 0.2732 0.2418 0.8652 0.3522 2 0.0001 . 0.3979 0.0001 0.0002 0.0001 0.0001 0.0001 0.0001 3 0.0001 0.3979 . 0.0002 0.0027 0.0001 0.0001 0.0001 0.0001 4 0.0169 0.0001 0.0002 . 0.3653 0.1754 0.0010 0.0110 0.0014 5 0.0015 0.0002 0.0027 0.3653 . 0.0269 0.0001 0.0009 0.0001 6 0.2732 0.0001 0.0001 0.1754 0.0269 . 0.0302 0.2073 0.0465 7 0.2418 0.0001 0.0001 0.0010 0.0001 0.0302 . 0.3114 0.7717 8 0.8652 0.0001 0.0001 0.0110 0.0009 0.2073 0.3114 . 0.4456 9 0.3522 0.0001 0.0001 0.0014 0.0001 0.0465 0.7717 0.4456 . NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Plot of MASPERA*FOR. Symbol is value of H89. MASPERA | | 1.2 + | | | 0 | | 1.0 + 0 | | | | | 0.8 + | | | | | 5 0.6 + | |5 | | | 0.4 + | 5 | | |0 | 1 0.2 + | | 1 |1 | | 0.0 + | -+-------------+-------------+-------------+-------------+-------------+ 0 1 2 3 4 5 FOR