JASP Bayesian Linear Regression - Model Comparison Table
I have a question about Bayesian linear regression; specifically the model comparison table.
I have three predictors: NE, EE and contacts. The model comparison table indicates that the best model is the one that only contains NE. However, if I click "BF10" and "Compare to best model", the model comparison table indicates a BF10 of 1.872 for the second model in the table. This second model also includes contacts and the interaction between contacts and NE (i.e., NE + contacts + NE*contacts). I conclude from this that the observed data are 1.872 times more likely under the model containing NE, contacts and their interaction as predictors compared to the model that only contains NE.
My question: Why doesn't JASP indicate this model as the best model?