I have some data that I want to do simple linear regression on. However I don't have a lot of datapoints, and would like to know the uncertainty in the parameters. I.e. the slope and the intercept of the linear regression model. I know it should be possible to get a prob. distribution of the parameters using bayesian linear regression, but I don't know quite how to use it and what assumptions has to be made. Can someone help me how to find reasonable error estimates for my model?