You can choose one or more samples in the data box and obtain the posterior. You can also obtain posterior inferences on arbitrary contrasts. Predictive inference can also be done. Figure 1 shows the screen for the simple regression model. Posterior inferences for all three parameters can be obtained and also for the regression line by putting weights on the parameters.
Predictive inference is also obtainable easily.
A scatter plot of the data can be produced, which contains the fitted line, two standard deviation error bounds and prediction bounds. A residual plot versus x can also be produced. These produce direct analogues of the classical results. A Bayesian analogue to the F-test can also be calculated for these two cases. Discussion First Bayes is purely designed for teaching purposes.