Question 6
If the forecast based on the data series below turned out to be
20.0 for the month of September, then which forecasting method was
used?
January 18
February 21
March 20
April 22
May 21
June 20
July 21
August 18
Group of answer choices
Moving average (n = 4)
Averaging
Moving average (n = 3)
Moving average (n = 2)
Question 7
When a time series is extremely stable, then which forecasting
method is most appropriate?
Group of answer choices
The moving average method
The exponential smoothing method with a large value for the
smoothing constant alpha
The last value method
The averaging method
Question 8
The first edition hardcover of a new book by a popular writer
has a demand which is normally distributed with an average of 2
million and a standard deviation of 0.5 million. The production and
transportation costs per hardcover are $10, and the sale price in
bookstores is $25. When the paperback version comes out, the
hardcover books go on sale for $5. How many hardcovers should be
produced (there will only be one printing of the hardcover
version)?
Group of answer choices
Approximately 2.1 million
Approximately 2.5 million
Approximately 2.3 million
Exactly 2 million
Question 9
The following data was entered into Excel to determine the
linear regression equation for the number of purchases as a
function of the number of website visits. As you can see, data was
collected from the last 9 weeks. The intercept turned out to be
-1,552 and the slope 0.0648. If the forecast for week 10's website
visits is 48,000, then how many purchases can be expected in week
10?
Visits Purchases
46,200 1,400
45,150 1,325
43,200 1,300
47,500 1,650
46,300 1,300
48,000 1,575
42,350 1,200
47,500 1,500
46,100 1,500
Group of answer choices
Approximately 1,550
Exactly 1,575
Approximately 47,900
Exactly 48,000
Question 10
We need to order the winter pants for next season, and only have
one chance to do so. The purchase cost are $80 per pair of pants
and they will sell at a retail price of $200. After the season, we
can sell all of them at a discount price of $20. Demand for these
pants is estimated to be uniformly distributed between 600 and 900.
How many pairs of pants should we order?
Group of answer choices
800
700
750
850