hi sir, I'm starting on statistics and I'd like to
know if you could clarify for me the difference
between a time series model (AR(p) for example) and a
regular regression model? is a AR(p) the same as a
regression model having the lag(p) variables as
predictors? ie:
Y(t) = a + b1 Y(t-1) + ... +bP Y(t-p) + error?
And what would be a good start point for this subject
combined to R?
thank you very much, aished
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Comedy with an Edge to see what's on, when.