7. Given an ARIMA model of monthly data described by the menu (1,3,0)(2,2,0) how

Question

7. Given an ARIMA model of monthly data described by the menu (1,3,0)(2,2,0) how many data observations will be lost due to differencing to make the series stationary? (Points : 3)        24
       5
       27
       25
       30 Question 8.8. Ordinary least squares regression is used in ARIMA to determine the model coefficient values. (Points : 3)        True
       False Question 9.9. A data series required one seasonal difference and two non seasonal differences to make it stationary. You have found two early spikes in the partial autocorrelation function after the non seasonal differences with converging (or slowly decreasing autocorrelations). In addition you found one early lag spike in the autocorrelation function for the seasonal differenced data along with converging partial autocorrelations. Which is the appropriate ARIMA menu for the model? (Points : 3)        (1,0, 1)(2,2,0)
       (2,2,0)(0,1,1)
       (2,2,1)(2,1,0)
       (1,2,0)(2,1,0) 7. Given an ARIMA model of monthly data described by the menu (1,3,0)(2,2,0) how many data observations will be lost due to differencing to make the series stationary? (Points : 3)        24
       5
       27
       25
       30

Explanation / Answer

Question 8.8. Ordinary least squares regression is used in ARIMA to determine the model coefficient values.

TRUE.

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