Table 3.

Variance explained in statistical power (non-centrality parameter; NCP) by model parameters

	NCP ($\beta$2)
	g1 = 0	g2 = 0	g1 = g2 = 0
b1	0.460	0.000	0.226
g1	0.402	0.000	0.222
b3	0.000	0.460	0.226
g2	0.000	0.402	0.222
ra	0.001	0.001	0.001
rc	0.000	0.000	0.000
re	0.009	0.009	0.001
rf	0.036	0.036	0.001
a1	0.000	0.003	0.002
a2	0.003	0.000	0.002
c1	0.000	0.000	0.000
c2	0.000	0.000	0.000
Total R2	0.911	0.911	0.902

Linear regression of NCP on the parameter values used for 8748 power analyses in the AE model