An MA(3) model is chosen for a data set of 60 process. The least squares estimates...
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An MA(3) model is chosen for a data set of 60 process. The least squares estimates are bo=50, b1= 2.5 and b2 = 0.10 %3D and b3 = -0.25. Using the last six observations find the %3D forecast for t=61 Time Values Forecast Residual Period (t) (Y t) () (e t) t-6 65 25 28 -3 t-5 66 26 30 -4 t-4 67 28 35 -7 t-3 68 47 40 7 t-2 69 48 45 3 t-1 70 50 55 An MA(3) model is chosen for a data set of 60 process. The least squares estimates are bo=50, b1= 2.5 and b2 = 0.10 %3D and b3 = -0.25. Using the last six observations find the %3D forecast for t=61 Time Values Forecast Residual Period (t) (Y t) () (e t) t-6 65 25 28 -3 t-5 66 26 30 -4 t-4 67 28 35 -7 t-3 68 47 40 7 t-2 69 48 45 3 t-1 70 50 55
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