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  3. ARIMA Models in Python

Exercise

Identification II

You learned that the savings time series is stationary without differencing. Now that you have this information you can try and identify what order of model will be the best fit.

The plot_acf() and the plot_pacf() functions have been imported and the time series has been loaded into the DataFrame savings.

Instructions

100 XP
  • Make a plot of the ACF, for lags 1-10 and plot it on axis ax1.
  • Do the same for the PACF.