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Correlation measures the strength and direction of a relationship between variables.

A) True
B) False

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The president of State University wants to forecast student enrollments for this academic year based on the following historical data: The president of State University wants to forecast student enrollments for this academic year based on the following historical data:   What is the forecast for this year using trend-adjusted (double) smoothing with alpha = 0.05 and beta = 0.3, if the forecast for last year was 21,000, the forecast for two years ago was 19,000, and the trend estimate for last year's forecast was 1,500? A) 18,750 B) 19,500 C) 21,000 D) 22,650 E) 22,800 What is the forecast for this year using trend-adjusted (double) smoothing with alpha = 0.05 and beta = 0.3, if the forecast for last year was 21,000, the forecast for two years ago was 19,000, and the trend estimate for last year's forecast was 1,500?


A) 18,750
B) 19,500
C) 21,000
D) 22,650
E) 22,800

F) A) and B)
G) B) and E)

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Which of the following might be used to develop an estimate of the cyclical component of a forecast?


A) leading variable
B) mean squared error
C) Delphi technique
D) exponential smoothing
E) mean absolute deviation

F) C) and E)
G) A) and B)

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One reason for using the Delphi method in forecasting is to:


A) reduce the risk that one individual's opinion will prevail.
B) achieve a high degree of accuracy.
C) maintain accountability and responsibility.
D) be able to replicate results.
E) prevent hurt feelings.

F) B) and C)
G) All of the above

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A concert promoter is forecasting this year's attendance for one of his concerts based on the following historical data: A concert promoter is forecasting this year's attendance for one of his concerts based on the following historical data:   The previous trend line had predicted 18,500 for two years ago, and 19,700 for last year. What was the mean absolute deviation for these forecasts? A) 100 B) 200 C) 400 D) 500 E) 800 The previous trend line had predicted 18,500 for two years ago, and 19,700 for last year. What was the mean absolute deviation for these forecasts?


A) 100
B) 200
C) 400
D) 500
E) 800

F) A) and B)
G) A) and C)

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Which of the following helps improve supply chain forecasting performance?


A) contracts that require supply chain members to formulate long-term forecasts
B) penalties for supply chain members that adjust forecasts
C) sharing forecasts or demand data across the supply chain
D) increasing lead times for critical supply chain members
E) increasing the number of suppliers at critical junctures in the supply chain

F) B) and C)
G) A) and E)

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A smoothing constant of .1 will cause an exponential smoothing forecast to react more quickly to a sudden change than a smoothing constant value of .3.

A) True
B) False

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MAD is equal to the square root of MSE, which is why we calculate the easier MSE and then calculate the more difficult MAD.

A) True
B) False

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Professor Very Busy needs to allocate time next week to include time for office hours. He needs to forecast the number of students who will seek appointments. He has gathered the following data: Professor Very Busy needs to allocate time next week to include time for office hours. He needs to forecast the number of students who will seek appointments. He has gathered the following data:   What is this week's forecast using trend-adjusted (double) smoothing with alpha = 0.5 and beta = 0.1, if the forecast for last week was 65, the forecast for two weeks ago was 75, and the trend estimate for last week's forecast was −5? A) 49.3 B) 50.6 C) 52.0 D) 65.4 E) 78.7 What is this week's forecast using trend-adjusted (double) smoothing with alpha = 0.5 and beta = 0.1, if the forecast for last week was 65, the forecast for two weeks ago was 75, and the trend estimate for last week's forecast was −5?


A) 49.3
B) 50.6
C) 52.0
D) 65.4
E) 78.7

F) A) and E)
G) B) and D)

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Trend-adjusted exponential smoothing requires selection of two smoothing constants.

A) True
B) False

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The president of State University wants to forecast student enrollments for this academic year based on the following historical data: The president of State University wants to forecast student enrollments for this academic year based on the following historical data:   What is the forecast for this year using the least squares trend line for these data? A) 18,750 B) 19,500 C) 21,000 D) 22,650 E) 22,800 What is the forecast for this year using the least squares trend line for these data?


A) 18,750
B) 19,500
C) 21,000
D) 22,650
E) 22,800

F) B) and D)
G) C) and E)

Correct Answer

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A consumer survey is an easy and sure way to obtain accurate input from future customers since most people enjoy participating in surveys.

A) True
B) False

Correct Answer

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Which term most closely relates to associative forecasting techniques?


A) time series data
B) expert opinions
C) Delphi technique
D) consumer survey
E) predictor variables

F) C) and D)
G) None of the above

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The best forecast is not necessarily the most accurate.

A) True
B) False

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Forecasting techniques generally assume:


A) the absence of randomness.
B) continuity of some underlying causal system.
C) a linear relationship between time and demand.
D) accuracy that increases the farther out in time the forecast projects.
E) accuracy that is better when individual items, rather than groups of items, are being considered.

F) C) and D)
G) A) and E)

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In the additive model for seasonality, seasonality is expressed as a ______________ adjustment to the average; in the multiplicative model, seasonality is expressed as a __________ adjustment to the average.


A) quantity; percentage
B) percentage; quantity
C) quantity; quantity
D) percentage; percentage
E) qualitative; quantitative

F) D) and E)
G) A) and B)

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Which of the following is used for constructing a control chart?


A) mean absolute deviation
B) mean squared error
C) tracking signal
D) bias
E) MAPE

F) B) and E)
G) B) and D)

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Inaccurate _____ can lead to excess and/or shortages throughout the organization and the supply chain.


A) planning
B) forecasts
C) ordering
D) capacity
E) deliveries

F) None of the above
G) B) and C)

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Forecasts for groups of items tend to be less accurate than forecasts for individual items because forecasts for individual items don't include as many influencing factors.

A) True
B) False

Correct Answer

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Given forecast errors of −5, −10, and +15, the MAD is:


A) 0.
B) 10.
C) 30.
D) 175.
E) 225.

F) A) and E)
G) B) and D)

Correct Answer

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