Question: This question refers to Problem 21. a. Fit the random model given by Equation 3.4 to the data in Table P-21 by estimating c with
a. Fit the random model given by Equation 3.4 to the data in Table P-21 by estimating c with the sample mean so t = . Compute the residuals using et = Yt - t - .
b. Using Minitab or a similar program compute the autocorrelations of the residuals from part c for the first 10 time lags. Is the random model adequate for the sales data? Explain.
Problem 21
Table P-21 contains the weekly sales for a food item for 52 consecutive weeks.
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TA EP-21 Sales of a Food Item (Read across) 2649.9 2898.7 2897.8 3054.3 3888.1 3963.6 3258.9 3199.6 3504.3 2445.9 1833.9 2185.4 3367.4 1374.1 497.5 1699.0 1425.4 1946.2 1809.9 2339.9 1717.9 2420.3 1396.5 1612.1 1367.9 2176.8 2725.0 3723.7 2016.0 862.2 1234.6 1166.5 1759.5 1039.4 2404.8 2047.8 4072.6 4600.5 2370.1 3542.3 2273.0 3596.6 2615.8 2253.3 17794 3917.9 3329.3 1864.4 3318.9 3342.6 2131.9 3003.2 2
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a The residuals are listed below b The residual autocorrelations follow Since in this ... View full answer
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