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The president of State University wants to forecast student enrollment for this academic year based on the following historical data: Year :Enrollments 5 years ago :15,000 4 years ago :16,000 3 years ago :18,000 2 years ago :20,000 Last year :21,000 -What is the forecast for this year using exponential smoothing with trend if α\alpha = 0 5 and β\beta = 0 3? Assume the forecast for last year was 21,000 and the forecast for two years ago was 19,000,and that the trend estimate for last years forecast was 1,500


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

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

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What is the last-value forecast for the next period?


A) 58
B) 62
C) 60
D) 61
E) None of the above

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

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The moving-average forecasting method is a very good one when conditions remain pretty much the same over the time period being considered

A) True
B) False

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Statistical models to forecast economic trends are called econometric models

A) True
B) False

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An advantage of the exponential smoothing forecasting method is that more recent experience is given more weight than less recent experience

A) True
B) False

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In order to increase the responsiveness of a forecast made using the moving-average method,the number of values in the average should be:


A) decreased
B) increased
C) multiplied by a larger α\alpha
D) multiplied by a smaller α\alpha
E) None of the above

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

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Time-series data may exhibit which of the following behaviors?


A) Trend
B) Seasonality
C) Cycles
D) Irregularities
E) All of the above

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

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Which of the following would be considered a possible drawback of using executive opinions to develop a forecast?


A) It is difficult to interpret the results
B) Responsibility is diffused for the forecast
C) Extensive use of computers is needed
D) It brings together the knowledge of top managers
E) Forecasters are sometimes overly influenced by recent events

F) A) and D)
G) All of the above

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Period : Demand 1 :58 2 :59 3 :60 4 :61 -What is the moving-average forecast for the next period based on the last three periods


A) 58
B) 62
C) 60
D) 61
E) None of the above

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

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Exponential smoothing with trend requires selection of two smoothing constants

A) True
B) False

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What is the forecast for this year using the last-value forecasting method?


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

F) A) and E)
G) All of the above

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The difference between a forecast and what turns out to be the true value is called the mean absolute deviation

A) True
B) False

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Which of the following would be an advantage of using a sales force composite to develop a demand forecast?


A) The sales staff is least affected by changing customer needs
B) The sales force can easily distinguish between customer desires and probable actions
C) The sales staff is often aware of customer's future plans
D) Salespeople are least likely to be biased by sales quotas
E) None of the above

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

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Questions 10-66 through 10-69 refer to the following: An operation analyst is forecasting this year's demand for one of his company's products based on the following historical data: Year # sold 4 years ago 10,000 3 years ago 12,000 2 years ago 18,000 Last year 20,000 -What is the forecast for this year using exponential smoothing with α\alpha = 0 2,if the forecast for last year was 15,000?


A) 20,000
B) 19,000
C) 17,500
D) 16,000
E) 15,000

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

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Which of the following smoothing constants would make an exponential smoothing forecast equivalent to a last-value forecast?


A) 0
B) 0 01
C) 0 1
D) 0 5
E) 1

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

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Which of the following is not a type of judgmental forecasting?


A) Managerial opinion
B) Sales force composite
C) Time-series analysis
D) The Delphi method
E) Consumer market survey

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

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Given forecast errors of 4,8,and -3,what is the mean absolute deviation?


A) 3
B) 4
C) 5
D) 6
E) 9

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

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Professor Z needs to allocate time among several tasks next week to include time for students' appointments.Thus,he needs to forecast the number of students who will seek appointments.He has gathered the following data: Week # of students 6 weeks ago 83 5 weeks ago 110 4 weeks ago 95 3 weeks ago 80 2 weeks ago 65 Last week 50 -What is the forecast for this year using exponential smoothing with trend if α\alpha = 0 5 and β\beta = 0 1? Assume the forecast for last week was 65 and the forecast for two weeks ago was 75 ,and that the trend estimate for last years forecast was -5


A) 49
B) 50
C) 52
D) 65
E) 78

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

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Which of the following possible values of α\alpha would cause exponential smoothing to respond the most quickly to forecast errors?


A) 0
B) 0 01
C) 0 05
D) 0 1
E) 0 15

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

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The forecasting method which uses anonymous questionnaires to achieve a consensus forecast is:


A) sales force composites
B) consumer surveys
C) the Delphi method
D) time-series analysis
E) executive opinions

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

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