LSMEAN y LSMEAN Number treatment 1 26.616666 Question 5) The effect of three different treatments on depression used on 30 randomly selected patient treated patients in each clinic were classified by type of treatment and gender as follow: treatment 2 28.8750000 Type of Treatment Gender Male Female treatment 3 27.350000 Treatment 1 18,19,20,22 23 30,32,33,33,34,35 Treatment 2 35,36,37,37 20,21,22,23 Treatment 3 20.21.22.23.24.25 29.30.33.34.35 Use Sas Output to answer the following: What is the F value? Least Squares Means for effect a 1. 34.864 Pr> It for HO: LSMean(i)=LSMean(j) 2. 64.70 3. 45.96 4. 55.38 Dependent Variable: y b) What effects are significant (the main effects and interaction)? Let alpha=0.05. 1. Only factor a 2. Only factor b 0.0409 0.6363 3. Only interaction effect arb 4. Factor a, b, and interaction effect 0.0409 ).2077 C) How many significant differences you find for adjusted Tukey for interaction effect? 0.6363 0.2077 1. 5 HO:LSMean1=LSMean2 LSMEAN Class Level Information Pr> (t Class female 28.8444444 Levels Values 0.0016 male 26.3833333 3 treatment 1 treatment 2 treatment 3 2 female male LSMEAN y LSMEAN Number treatment 1 emale 32.8333333 Source DF Sum of Squares Mean Square F Value Pr > F treatment male 20.4000000 Model 5 1133.383333 226.676667 64.70 <.0001 treatment emale error male corrected total female r-square coeff var root mse y mean least squares means for effect a pr> It] for HO: LSMean(i)=LSMean(j) Source DF Type I SS Mean Square F Value Pr > F Dependent Variable: y 20.0462121 10.0231061 2.86 0.0768 127.7829823 127.7829823 36.47 <.00 a :.000 .9486 source df type iii ss mean square f value pr> .0869 <.000 .0001>