16.4 Using the data of Table 10.1, construct a Monte Carlo Markov chain for the parameters of the linear model, with 10,000 iterations. Use uniform distributions for the prior and proposal distributions, the latter with a width of 10 for both parameters.

Start the chain at a D 12 and b D 6. After completion of the chain, plot the sample distribution of the two model parameters.