A) remain constant over time
B) become more or less pronounced as the trend component increases or decreases
C) constantly fluctuate over time
D) remain linear over time
Correct Answer
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Multiple Choice
A) mean squared error (MSE)
B) mean absolute deviation (MAD)
C) mean absolute percentage error (MAPE)
D) cumulative sum error (CSE)
Correct Answer
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Multiple Choice
A) simple linear regression analysis
B) multiple linear regression analysis
C) multiplicative method
D) additive method
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Multiple Choice
A) positive
B) cyclical
C) irregular
D) random
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Multiple Choice
A) tracking signals should be used
B) time series demand data should exhibit a linear trend with seasonal variations
C) seasonal indices need not be available
D) time series demand should exhibit a nonlinear trend with seasonal variations
Correct Answer
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Multiple Choice
A) unexplained variation
B) explained variation
C) total variation
D) random variation
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Multiple Choice
A) regression line
B) linear line
C) nonlinear line
D) moving average line
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Multiple Choice
A) dependent and independent
B) time series and causal
C) qualitative and quantitative
D) time series and regression analysis
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Multiple Choice
A) tracking signals
B) trend charts
C) seasonal indices
D) control signals
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Multiple Choice
A) 93
B) 96
C) 98
D) 100
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Multiple Choice
A) Simulation analysis
B) Qualitative
C) Quantitative
D) Market research
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Multiple Choice
A) the forecast is consistently overstating the actual demand
B) the forecast is consistently understating the actual demand
C) the forecast is exactly equal to the actual demand
D) the forecast is never equal to actual demand
Correct Answer
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Multiple Choice
A) Market research
B) Qualitative
C) Quantitative
D) Causal
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Multiple Choice
A) dependent demand item
B) independent demand item
C) variable demand item
D) seasonal demand item
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Multiple Choice
A) They monitor whether the forecasts lie around the target.
B) Both actual and forecasted demand values are required to calculate tracking signals.
C) They cannot be used to determine whether or not the demand pattern has changed.
D) They monitor whether the forecasts are consistently too high or low.
Correct Answer
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Multiple Choice
A) Mean absolute deviation is complex and difficult to compute.
B) Cumulative sum error tracks the forecasting bias.
C) Mean absolute deviation provides the percentage of error.
D) Mean squared errors cannot track the accuracy of the forecast.
Correct Answer
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Multiple Choice
A) Moving average
B) Naïve approach
C) Linear regression
D) Exponential smoothing
Correct Answer
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Multiple Choice
A) the probability that the forecasting errors are attributable to random variation is 3%
B) the probability that the forecasting errors are attributable to random variation is 99.7%
C) the probability that the forecasting errors are attributable to random variation is 2.3%
D) the probability that the forecasting errors are attributable to random variation is 50%
Correct Answer
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Multiple Choice
A) Determine the purpose of the forecast.
B) Collect non-historical data.
C) Adjust the baseline forecast for marketing promotions.
D) Share the forecast information with suppliers and downstream customers.
Correct Answer
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Multiple Choice
A) Cyclical variations
B) Seasonal variations
C) Irregular variations
D) Random variations
Correct Answer
verified
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