Time Series Analysis with Applications in R
Make sure plots and data are clearly labeled. Provide a Summary and interpretation of the plot results.
Load the deere2 data set that is included in the TSA package. (The commands are library('TSA') and then data (deere2). This loads a variable called deere2. The data contains deviations from a specied target, in units of length, for an industrial process at Deere & Co.
(a) Display the time series plot for these data, and comment on the appearance. Is a stationary model reasonable?
(b) Plot the sample ACF and sample PACF, and select, with rustication, tentative orders for an ARMA model for this time series.