Let’s say our dataset is as follows: { 5, 8, 4, 7, 6, 5 }. n=6 and our mean = 5.8

now I did a AR (1), dependent variable now is, { ,5, 8,4,7,6}

A Can you show me the method on how to compute the residual for this data set (showing one value would be suffice)

B. Can you show me the method on computing the autocorrelation for residuals.

C. Can you show me the method on how to compute the autocorrelation for this series (assuming it is different than the residual correlations you compute in part B). What’s the difference between B & C?