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To identify the quarter that has the greatest seasonality.

describe A contractor developed a multiplicative time series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 1996 to 1998. The following is the resulting regression equation:
Y = 3.35 + .117Time - .083Q1 + 1.28Q2 + .617Q3

where Y is the number of contracts in a quarter; Time is a linear time trend measured in quarters from January 1996, Q1 is a dummy categorical variable equal to 1 in the first quarter and 0 otherwise (see pg. 206 for a discussion of categorical variables); Q2 is a dummy variable equal to 1 in the second quarter and 0 otherwise; and Q3 is a final dummy variable equal to 1 in the third quarter and 0 otherwise.

Which quarter exhibits the greatest seasonality?

a. Q1

b. Q2

c. Q3

d. Q4

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M922419

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