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UCF QMB 3200 FINAL EXAM BRAND
NEW ACTUAL EXAM WITH ANSWERS.
1. The time series component that reflects gradual variability over
a long time period is called: - correct answer -Trend
2. If data for a time series analysis is collected on an annual basis
only, which component may be ignored? - correct answer -
Seasonal.
3. If the historical data are restricted to past values of the variable
to be forecast, the forecasting procedure is called a - correct
answer -time series method.
4. What forecasting method involves selecting a different weight
for the most recent k data values in the time series and then
computing a weighted average of the values? - correct answer
-Weighted moving average method.
5. A time series from which the effect of season has been
removed by dividing each original time series observation by
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the corresponding seasonal index is called a: - correct answer -
deseasonalized time series.
6. Which of the following exponential smoothing constant values
puts the same weight on the most recent time series value as
does a 5-period moving average? - correct answer -Alpha = .2
7. Time series decomposition can be used to separate or
decompose a time series into all of the following components
except: - correct answer -Horizontal patterns
8. The following linear trend expression was estimated using a
time series with 9 years as the independent variable and
annual profit as the response variable (in millions). Tt = 29.2 +
3.8t. The value 3.8 represents the - correct answer -amount
that the profit is expected to increase by each year, in millions
of dollars, on average.
9. What type of analysis aims to discover a pattern in the
historical data or time series and then extrapolate the pattern
into the future? - correct answer -Time series analysis
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10. To model a time series with a seasonal pattern, we treat the
season as a(n): - correct answer -Categorical variable.
11. A time series method that is used to separate or decompose
a time series into seasonal, trend, and irregular components is
called: - correct answer -Time series decomposition.
12. A seasonal pattern: - correct answer -occurs when a time
series plot exhibits a repeating pattern over successive
periods.
13. When historical data on the variable being forecast are either
not applicable or unavailable, what kind of forecasting method
should be used - correct answer -Qualitative methods
14. Three of the following forecasting methods are appropriate
for a time series with a horizontal pattern. Which one is not
appropriate for a time series with a horizontal pattern? - correct
answer -Linear trend regression.
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15. What kind of forecasting method is based on the assumption
that the variable we are forecasting has a cause-effect
relationship with one or more other variables? - correct answer
-Casual forecasting method.
16. The difference between the actual time series value and the
forecast is called: - correct answer -forecast error.
17. IN the linear trend equation, Tt = b0 + b1t, b0 represents the:
- correct answer -Y-intercept of the trend line.
18. The average of the absolute values of the forecast errors is
called: - correct answer -Mean absolute error
19. When using a categorical variable in a multiple regression
model that has k levels, how many dummy variables are
needed? - correct answer -k - 1
20. Which of the following is not present in a time series? -
correct answer -Operational variations
UCF QMB 3200 FINAL EXAM BRAND
NEW ACTUAL EXAM WITH ANSWERS.
1. The time series component that reflects gradual variability over
a long time period is called: - correct answer -Trend
2. If data for a time series analysis is collected on an annual basis
only, which component may be ignored? - correct answer -
Seasonal.
3. If the historical data are restricted to past values of the variable
to be forecast, the forecasting procedure is called a - correct
answer -time series method.
4. What forecasting method involves selecting a different weight
for the most recent k data values in the time series and then
computing a weighted average of the values? - correct answer
-Weighted moving average method.
5. A time series from which the effect of season has been
removed by dividing each original time series observation by
, Page | 2
the corresponding seasonal index is called a: - correct answer -
deseasonalized time series.
6. Which of the following exponential smoothing constant values
puts the same weight on the most recent time series value as
does a 5-period moving average? - correct answer -Alpha = .2
7. Time series decomposition can be used to separate or
decompose a time series into all of the following components
except: - correct answer -Horizontal patterns
8. The following linear trend expression was estimated using a
time series with 9 years as the independent variable and
annual profit as the response variable (in millions). Tt = 29.2 +
3.8t. The value 3.8 represents the - correct answer -amount
that the profit is expected to increase by each year, in millions
of dollars, on average.
9. What type of analysis aims to discover a pattern in the
historical data or time series and then extrapolate the pattern
into the future? - correct answer -Time series analysis
, Page | 3
10. To model a time series with a seasonal pattern, we treat the
season as a(n): - correct answer -Categorical variable.
11. A time series method that is used to separate or decompose
a time series into seasonal, trend, and irregular components is
called: - correct answer -Time series decomposition.
12. A seasonal pattern: - correct answer -occurs when a time
series plot exhibits a repeating pattern over successive
periods.
13. When historical data on the variable being forecast are either
not applicable or unavailable, what kind of forecasting method
should be used - correct answer -Qualitative methods
14. Three of the following forecasting methods are appropriate
for a time series with a horizontal pattern. Which one is not
appropriate for a time series with a horizontal pattern? - correct
answer -Linear trend regression.
, Page | 4
15. What kind of forecasting method is based on the assumption
that the variable we are forecasting has a cause-effect
relationship with one or more other variables? - correct answer
-Casual forecasting method.
16. The difference between the actual time series value and the
forecast is called: - correct answer -forecast error.
17. IN the linear trend equation, Tt = b0 + b1t, b0 represents the:
- correct answer -Y-intercept of the trend line.
18. The average of the absolute values of the forecast errors is
called: - correct answer -Mean absolute error
19. When using a categorical variable in a multiple regression
model that has k levels, how many dummy variables are
needed? - correct answer -k - 1
20. Which of the following is not present in a time series? -
correct answer -Operational variations
