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Name that model by ACF plot

Finally, the ACF plot for each model provides additional useful information about how each model operates (and, therefore, when you should use each model). It is also helpful to be able to identify the model based on the ACF plot.

A time series from each of the four models you have considered in this course was simulated and their sample autocorrelation functions (ACF) are shown in one of the four panels in the adjoining figure. They include the white noise (WN), random walk (RW), autoregressive (AR), and simple moving average (MA) models.

Match each sample ACF plot with one of our models WN, RW, AR, MA.

This exercise is part of the course

Time Series Analysis in R

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