Question: The following timeplot shows a portion of the month-to-month changes in the value of shipments of computers and electronics (after seasonal adjustment, as used in
-1.png)
-2.png)
Let Yt denote the change in the value of the shipments. The scatterplot shown above graphs Yt on its lagged value Yt -1.
(a) Does this scatterplot suggest the presence of dependence between adjacent changes in the value of shipments?
(b) Where does the outlier produced by the large drop from March to April appear in the scatter-plot of Yt on Yt -1?
(c) Do you think that the outlier influences the estimated correlation between Yt and Yt -1?
(d) To remove the outlying change in shipments from the estimated correlation between Yt and Yt -1, how many data points need to be excluded from the scatterplot?
-I S-2 3 4 1992 1994 1996 1998 2000 2002 2004 2006 2008 Year 2 2 3 4 32101234
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a The estimated correlation is weak and negative at r 012 b The o... View full answer
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