Table 2.

Summary of the Bayesian ANOVA to test for differences in the mean for the adjusted R² across models comprising two, three, four, or five elements.

Parameter	Protein (%)	Fat (%)	Dry Matter (%)	Lactose (%)	Somatic Cell Count (sc/mL)
Sum of Squares	0.237	0.128	0.164	0.234	0.184
df	3	3	3	3	3
Mean Square	0.079	0.043	0.055	0.078	0.061
F	4.78	6.102	4.479	3.361	4.461
Sig.	0.007	0.002	0.009	0.029	0.009
Bayes Factor	2.173	8.367	1.536	0.451	1.564
2 elements models Posterior Mean	0.215	0.130	0.153	0.312	0.136
2 elements model 95CI	0.128–0.302	0.074–0.187	0.079–0.228	0.209–0.415	0.056–0.215
3 elements models Posterior Mean	0.342	0.217	0.241	0.454	0.259
3 elements model 95CI	0.279–0.406	0.176–0.258	0.188–0.294	0.379–0.529	0.200–0.319
4 elements models Posterior Mean	0.389	0.242	0.289	0.479	0.277
4 elements model 95CI	0.267–0.432	0.169–0.271	0.195–0.330	0.333–0.529	0.174–0.325
5 elements models Posterior Mean	0.497	0.341	0.391	0.588	0.381
5 elements model 95CI	0.366–0.627	0.257–0.426	0.279–0.503	0.433–0.742	0.262–0.500