Get those plots

Type in the following to get a Q-Q plot and a histogram on top of each other


par(mfrow=c(2,1))
> hist(dlGDP,prob=T,12)
> lines(density(dlGDP))
> qqnorm(dlGDP)
> qqline(dlGDP)





the top graph says that the errors are pretty nicely distributed around the mean
and the bottom says that they are normal. Ficcissimo!


We can take a look at the correlations between the lags with the following code:

lag.plot(dlGDP,9,do.lines=F)



Holy crap- there is strong correlation! This will help give us an idea as to what model we end up choosing.

My guide for this has been the following website:
http://www.mirrorservice.org/sites/lib.stat.cmu.edu/general/tsa2/R_time_series_quick_fix.htm

Please people keep dancin'

Steven J.

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