I am trying to understand the results of a Bayesian ANOVA.
I performed a cluster analysis (in another software) to cluster my sample according to training variables (e.g., distance run, accelerations, etc.). Then, I performed a Bayesian ANOVA in Jasp to quantify the probability of the clusters created being related to well-being variables (e.g., sleep time). I considered the clusters as a "fixed factor" and each new variable as a "dependent variable".
How can I interpret these results? My data provide strong support for the for no relationship between training performance and sleep time?
I attached the figure.
Thanks in advance,