Regression Markov chains

In the previous exercise, you ran 4 parallel Markov chains of length 1,000 to approximate the posterior model of regression parameters \(a\), \(b\), and \(s\). Your output was similar to that below:

Though it requires too much computing power to run here, the results of a new RJAGS simulation run for 100,000 iterations is in your workspace. This mcmc.list object is stored as weight_sim_big. Construct and examine a plot() of the Markov chains in weight_sim_big. Which of the following best describes the comparison of these with the original simulation results?