SAS Output #1 Sum of Source DF Squares Mean Square F Value Pr > F Model A 45.535726 E 0.7674 Error B D F Corrected Total C 2878.746667 R-Square Coeff Var Root MSE BPDIACH Mean 0.015818 -114.9938 6.316991 -5.493333 Source DF Type III SS Mean Square F Value Pr > F CENTER 3 45.53572650 15.17857550 0.7674 Standard Parameter Estimate Error t Value Pr > |t| Intercept -5.230769231 B 1.23886392 -4.22 <.0001 CENTER 1 -1.213675214 B 2.44307261 -0.50 0.6209 CENTER 2 0.510769231 B 1.76945161 G 0.7737 CENTER 3 -1.435897436 B 2.04818842 -0.70 0.4856 CENTER 4 0.000000000 B . . . Least Squares Means Adjustment for Multiple Comparisons: Tukey-Kramer BPDIACH LSMEAN CENTER LSMEAN Number 1 -6.44444444 1 2 -4.72000000 2 3 -6.66666667 3 4 -5.23076923 4 Least Squares Means for effect CENTER Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: BPDIACH i/j 1 2 3 4 1 0.8959 0.9998 0.9595 2 0.8959 0.7815 0.9915 3 0.9998 0.7815 0.8963 4 0.9595 0.9915 0.8963 17. Using a 0.05 significance level, what decision and conclusion should you make regarding the omnibus null hypothesis? (1 point) a. Because p-value < 0.05, we reject H0 and conclude that at least one study center has a significantly different