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Exercise

Estimate the autocorrelation function (ACF) for an autoregression

What if you need to estimate the autocorrelation function from your data? To do so, you'll need the acf() command, which estimates autocorrelation by exploring lags in your data. By default, this command generates a plot of the relationship between the current observation and lags extending backwards.

In this exercise, you'll use the acf() command to estimate the autocorrelation function for three new simulated AR series (x, y, and z). These objects have slope parameters 0.5, 0.9, and -0.75, respectively, and are shown in the adjoining figure.

Instructions

100 XP
  • Use three calls to acf() to calculate the ACF for x, y, and z, respectively.