As this assignment I would like you to find out and explain:
1) When graphical models have direct estimates for their parameters.
2) What models could and could not be fit to the dataset attached.
3) Determine the best model that can be fitted to that dataset attached.
Data is attached here. And I want to make sure that you really can do this assignment like 95%-100% sure, cause this is my assignment which will be graded. Before, some assignments you guys did is just 70% correct, which is not what I expected. So I want to make sure this one can get the 95%-100% correct answer. If you need to use software to do this assignment, I just can accept R software. And please also make sure give me each answer step by step, and I also need R code, results, and conclusion for each answer. I need detailed answer.