(5) (a) Suppose R calculations of fitting an AR(2) model to the data are {sf Call:...

 

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(5) (a) Suppose R calculations of fitting an AR(2) model to the data are {\sf Call: arima (x = x, order = c(2, 0, 0)) Coefficients: \begint{rrrr} & ari & ar2 & intercept \\ & 1.2503 & -0.7009 & 0.6738\\ s.e. & 0.1250 & 0.1184 & 0.0623 \endt sigma}2 estimated as 0.03005: log likelihood = 5.38, aic = 1 -2.77 } write down the estimated AR model (5) (a) Suppose R calculations of fitting an AR(2) model to the data are {\sf Call: arima (x = x, order = c(2, 0, 0)) Coefficients: \begint{rrrr} & ari & ar2 & intercept \\ & 1.2503 & -0.7009 & 0.6738\\ s.e. & 0.1250 & 0.1184 & 0.0623 \endt sigma}2 estimated as 0.03005: log likelihood = 5.38, aic = 1 -2.77 } write down the estimated AR model