product sale statistics Study

Questions 12 - 19 refer to the attachment :
Product sales since 1984 are:

Year 1984 1985 1986 1987 1988 1989 1990 1991 1992
Sales 266 264 145 205 139 98 94 94 128

The least squares trend equation using the coded method is given:
Y1 = 159.22 - 21.18X, where X is set equal to 0 for 1984.

12. A set of typical seasonal indexes is very useful in adjusting say, a sales series for seasonal fluctuations. The resulting sales series is called ______________or seasonally adjusted sales.

a. Moving average
b. Linear trend equation
c. Logarithmic trend equation
d. Time series
e. Deseasonalized Sales

13. Logically, there are four typical seasonal indexes for data reported ________.
a. Per Moving average
b. Quarterly
c. Daily
d. Time Series
e. Deseasonalized Sales

14. A typical sales index of 96.0 for January indicates that sales are usually _________ the average for the year.
a. Zero average
b. 4 % above average
c. 4 % below average
d. 96 % below average
e. 14 % below average

15. It is not possible for a time series to exist without the __________component.
a. Median
b. Time
c. Mode
d. Season
e. Trend

16. What were the sales in 1988?________
a. 87.62
b. 92.31
c. 30.47
d. 112.6
e. 74.5

17. What will the sales be in 1993?______________
a. 57.62
b. 12.36
c. 21.48
d. 0
e. None of the above

18. How much did sales change per year from 1984 to 1992?_________
a. 87.62
b. 92.31
c. 30.47
d. 112.6
e. None of the above

19. What is the 3 year moving average for 1984?_____________
a. 27.62
b. 32.31
c. There are infinite answers
d. Can Not be computed
e. None of the above