Using regression software, the trend component for this series is: Sales = 1322 +50.7x. The seasonality factors are calculated to be 0.77, 0.58, 0.84, and 1.80 for the first, second, third, and fourth quarters, respectively. The trend-and-season model is Sales = (1322 +50.7x) *SF where x is the number of quarters elapsed since the beginning of the series. Using this estimated trend-and-season model, the predicted sales for the second quarter of 2003 are: O A. $1322 million. O B. $1413.7 million. O C. $1423.4 million. O D. $2437.4 million.
Using regression software, the trend component for this series is: Sales = 1322 +50.7x. The seasonality factors are calculated to be 0.77, 0.58, 0.84, and 1.80 for the first, second, third, and fourth quarters, respectively. The trend-and-season model is Sales = (1322 +50.7x) *SF where x is the number of quarters elapsed since the beginning of the series. Using this estimated trend-and-season model, the predicted sales for the second quarter of 2003 are: O A. $1322 million. O B. $1413.7 million. O C. $1423.4 million. O D. $2437.4 million.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
am. 403.
Transcribed Image Text:For a large retailer, the plot below gives quarterly sales for the first quarter of 1998 through the last quarter of 2002 in millions of dollars.
www
Sales
3500
2500
1500
500
Quarte
Year
1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4
1998
2000 2001 2002
1999
Using regression software, the trend component for this series is:
Sales = 1322 + 50.7x.
The seasonality factors are calculated to be 0.77, 0.58, 0.84, and 1.80 for the first, second, third, and fourth quarters, respectively. The trend-and-season model is
Sales = (1322 + 50.7x) *SF
where x is the number of quarters elapsed since the beginning of the series. Using this estimated trend-and-season model, the predicted sales for the second quarter of 2003 are:
O A. $1322 million.
O B. $1413.7 million.
O C. $1423.4 million.
O D. $2437.4 million.
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