Table 4.

Exemplary b₁, b₃, g₁ and g₂ values and the power for estimating g₁

b1	b3	g1	g2	rf	Ph2_Ph1	PS1_Ph1	PS2_Ph2	ncpg1	powg1
0.075	0.075	0.06	0.06	0.00	0.214	0.066	0.066	15.97	0.979
0.075	0.025	0.06	0.02	0.00	0.140	0.068	0.023	15.97	0.979
0.075	0.075	0.06	0.02	0.00	0.138	0.068	0.066	15.97	0.979
0.075	0.050	0.06	0.04	0.00	0.180	0.067	0.045	15.97	0.979
0.075	0.075	0.06	0.04	0.00	0.180	0.067	0.066	15.97	0.979
0.025	0.050	0.06	0.02	0.00	0.334	0.022	0.040	4.71	0.583
0.025	0.075	0.06	0.06	0.00	0.417	0.020	0.059	4.71	0.583
0.075	0.025	0.02	0.02	0.25	0.126	0.070	0.026	4.70	0.582
0.025	0.050	0.02	0.02	0.50	0.465	0.025	0.045	1.13	0.186
0.025	0.050	0.02	0.04	0.50	0.508	0.026	0.045	1.13	0.186
0.025	0.075	0.02	0.02	0.50	0.463	0.026	0.065	1.13	0.186
0.025	0.025	0.02	0.06	0.50	0.539	0.024	0.024	1.13	0.186
0.025	0.075	0.02	0.04	0.50	0.506	0.027	0.065	1.13	0.186

Based from the same factorial AE design presented in Table 3 and parameters set presented in Table 1. Highest power with extreme positive b₁, b₃, and g₁ values. Lowest power with lowest g₁ and g₂ values. Ncpg₁, non-centrality parameter for rejecting g₁ = 0;powg₁, power for rejecting g₁ = 0; Ph2_Ph1, $\text{R}$² of the regression of Ph2 on Ph1; PS1_Ph1, R² of the regression of Ph1 on PS1; PS2_Ph2, $\text{R}$² of the regression of Ph2 on PS2