1- The exponential model would be attractive for analyzing a
growing company's revenues over time.
True or False
2- Which of the following best describes the decomposition
modeling approach to forecasting?
A- The values of certain variables are used to predict the
values of others.
B- Series are separated into trend, seasonal, irregular, and
cyclical components.
C- Forecasts are based on an average of recent values.
D- Sophisticated models such as regression with binaries are
preferred.
3- Which of the following is the least useful
time-series forecasting model when there is a strong upward trend
in the data?
A- Estimated exponential trend model
B- A five-period centered moving average
C- Exponential smoothing with a high α
D- Regression model with trend and seasonal binaries
4- The four components of a time series are which of the
following?
A- Cycle, season, month, day
B- Month, cycle, seasonal, irregular
C- Cycle, seasonal, irregular, regular
D- Seasonal, cycle, irregular, trend
5- Using exponential smoothing,
if Ft =
12, yt = 15,
and α = .10, what is the new
forecast Ft+1?
A- 14.1
B- 12.6
C- 12.3
D- 13.7