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on the AirPassengers time series

Statistics Oct 07, 2020

on the AirPassengers time series. Plot and interpret the results. Make sure to contrast these results with those from Exercise 6.

Exercise 6

Use cpt.mean() on the AirPassengers time series. Plot and interpret the results. Compare the change point of the mean that you uncovered in this case to the change point in the variance that you uncovered in Exercise 5. What do these change points suggest about the history of air travel?

Exercise 5

Given that the AirPassengers data set has a substantial growth trend, use diff() to create a differenced data set. Use plot() to examine and interpret the results of differencing. Use cpt.var() to find the change point in the variability of the differenced time series. Plot the result and describe in your own words what the change point signifies.

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