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Can you help with this 18. Before doing this exercise, you will need to install the Quandl package in R using install.packages(Quandl) a. Select a

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18. Before doing this exercise, you will need to install the Quandl package in R using install.packages("Quandl") a. Select a time series from Quandl. Then copy its short URL and import the data using b. Plot graphs of the data, and try to identify an appropriate ARIMA model. c. Do residual diagnostic checking of your ARIMA model. Are the residuals white noise? d. Use your chosen ARIMA model to forecast the next four years. e. Now try to identify an appropriate ETS model. f. Do residual diagnostic checking of your ETS model. Are the residuals white noise? g. Use your chosen ETS model to forecast the next four years. h. Which of the two models do you prefer

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