# bayesian linear regression: very basic question.

Hello!

First of all, thank you for this very intuitive software, and all the explanations you provided. That's really great for researchers in psychology (like me) who begin with Bayesian statistics. Very good job.

I have just a small question regarding the bayesian linear regression. I don't understand what H0 and H1 are? Could you please help me? I did not find the answer in the tutorial pdf nor on the forum.

Thank you very much for your help,

C.

## Comments

Dear cpaeye,

Thanks! H0 is the model without any predictors; H1 is the model with predictors (which predictors are in H1 is indicated per row, so each row is a different H1). Some examples and explanations here: http://pcl.missouri.edu/sites/default/files/Rouder.Morey_.MBR_.2012.pdf

Cheers,

E.J.

thank you for the quick reply, I will look at this immediately!

Best,

C.