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An engineer recorded a time series of 100 observations of the quality characteristics of an industrial process. The table below shows the autocorrelation and partial autocorrelation coefficients of the process:k 1 2 3 4 5 6 7 8 9rk -0.27 -0.29 -0.16 0.28 -0.01 0.25 0.08 0.05 0.02ϕ̂kk -0.27 0.25 -0.06 0.18 0.14 0.12 -0.12 -0.01 0.02(a) Identify a plausible ARMA model for the data.(b) Estimate the parameters of the model.(c) After fitting the time series model to the data, the residual autocorrela
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