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OPSY 5315 RAO Exam 2 Actual Exam Test Bank
2025/2026 Complete 100 Questions And Correct
Detailed Answers (Verified Answers) |Already Graded
A+||Newest Version!!!
Forecasting time horizons include:
a. long range
b. medium range
c. short range
d. all of the above - Answer-all of the above
Qualitative methods of forecasting include:
a. sales force composite
b. jury of executive opinion
c. consumer market survey
d. exponential smoothing
e. all except (d) - Answer-all except (d)
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The difference between a moving-average model and an
exponential smoothing model is that_____________. -
Answer-exponential smoothing is a weighted moving-
average model in which all prior values are weighted with
a set of exponentially declining weights
Three popular measures of forecast accuracy are:
a. total error, average error, and mean error
b. average error, median error, and maximum error
c. median error, minimum error, and maximum absolute
error
d. mean absolute deviation, mean squared error, and
mean absolute percent error - Answer-mean absolute
deviation, mean squared error, and mean absolute percent
error
Average demand for iPods in the Rome, Italy, Apple store
is 800 units per month. The May monthly index is 1.25.
What is the seasonally adjusted sales forecast for May?
a. 640 units
b. 798.75 units
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c. 800 units
d. 1,000 units
e. cannot be calculated with the information given -
Answer-1,000 units
The main difference between simple and multiple
regression is __________. - Answer-simple regression
has only one independent variable
The tracking signal is the:
a. Standard error of the estimate
b. cumulative error
c. mean absolute deviation (MAD)
d. ratio of the cumulative error to MAD
e. mean absolute percent error (MAPE) - Answer-ratio of
the cumulative error to MAD
Time-series patterns that repeat themselves after a period
of days or weeks are called __________
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a. cycles
b. seasonality
c. trends - Answer-seasonality
Which of the following smoothing constants would make
an exponential smoothing forecast equivalent to a naïve
forecast?
a. .5
b. 1.0
c. 0 - Answer-1.0
Which of the following statements about time-series
forecasting is true?
a. It is based on the assumption that the analysis of past
demand helps predict future demand.
b. It is based on the assumption that future demand will be
the same as past demand.
c. Because it accounts for trends, cycles, and seasonal
patterns, it is always more powerful than associative
OPSY 5315 RAO Exam 2 Actual Exam Test Bank
2025/2026 Complete 100 Questions And Correct
Detailed Answers (Verified Answers) |Already Graded
A+||Newest Version!!!
Forecasting time horizons include:
a. long range
b. medium range
c. short range
d. all of the above - Answer-all of the above
Qualitative methods of forecasting include:
a. sales force composite
b. jury of executive opinion
c. consumer market survey
d. exponential smoothing
e. all except (d) - Answer-all except (d)
,2|Page
The difference between a moving-average model and an
exponential smoothing model is that_____________. -
Answer-exponential smoothing is a weighted moving-
average model in which all prior values are weighted with
a set of exponentially declining weights
Three popular measures of forecast accuracy are:
a. total error, average error, and mean error
b. average error, median error, and maximum error
c. median error, minimum error, and maximum absolute
error
d. mean absolute deviation, mean squared error, and
mean absolute percent error - Answer-mean absolute
deviation, mean squared error, and mean absolute percent
error
Average demand for iPods in the Rome, Italy, Apple store
is 800 units per month. The May monthly index is 1.25.
What is the seasonally adjusted sales forecast for May?
a. 640 units
b. 798.75 units
,3|Page
c. 800 units
d. 1,000 units
e. cannot be calculated with the information given -
Answer-1,000 units
The main difference between simple and multiple
regression is __________. - Answer-simple regression
has only one independent variable
The tracking signal is the:
a. Standard error of the estimate
b. cumulative error
c. mean absolute deviation (MAD)
d. ratio of the cumulative error to MAD
e. mean absolute percent error (MAPE) - Answer-ratio of
the cumulative error to MAD
Time-series patterns that repeat themselves after a period
of days or weeks are called __________
, 4|Page
a. cycles
b. seasonality
c. trends - Answer-seasonality
Which of the following smoothing constants would make
an exponential smoothing forecast equivalent to a naïve
forecast?
a. .5
b. 1.0
c. 0 - Answer-1.0
Which of the following statements about time-series
forecasting is true?
a. It is based on the assumption that the analysis of past
demand helps predict future demand.
b. It is based on the assumption that future demand will be
the same as past demand.
c. Because it accounts for trends, cycles, and seasonal
patterns, it is always more powerful than associative
