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The forecast error is the difference between the actual value and the forecast value for a given period.

A) True
B) False

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Given the following data,develop a linear regression model for y as a function of x. Given the following data,develop a linear regression model for y as a function of x.

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Which of the following techniques are most likely to be used for forecasting demand for new products and services?


A) Trend models
B) Judgmental methods
C) Moving averages
D) Regression models
E) Exponential smoothing techniques

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

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An advantage of "trend adjusted exponential smoothing" over the "linear trend equation" is its ability to adjust over time to changes in the trend.

A) True
B) False

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A manager is using exponential smoothing to predict merchandise returns at a suburban branch of a department store chain.Given a previous forecast of 140 items,an actual number of returns of 148 items,and a smoothing constant equal to .15,what is the forecast for the next period?

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MAD is equal to the square root of MSE.

A) True
B) False

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What is this year's forecast using a two-year weighted moving average with weights of .7 and .3?


A) 19,400
B) 18,600
C) 19,000
D) 11,400
E) 10,600

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

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What is the monthly rate of change (slope) of the least squares trend line for these data?


A) 320
B) 102
C) 8
D) -0.4
E) -8

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

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Organizations that are capable of responding quickly to changing requirements can use a shorter forecast horizon and therefore benefit from more accurate forecasts.

A) True
B) False

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The primary difference between irregular and random variations is the ability to attribute variations to a specific cause.

A) True
B) False

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In operations,forecasts are the basis for all of the following EXCEPT:


A) capacity planning
B) project management
C) inventory planning
D) work assignments and workloads
E) forecasts are the basis for all of the choices.

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

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

A) True
B) False

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The previous trend line had predicted 18,500 for two years ago,and 19,700 for last year.What was the mean absolute percent error (MAPE) for these forecasts?


A) 0.21
B) 2.14
C) 4.28
D) 100
E) 400

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

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Time series data may exhibit all but which of the following behaviours?


A) Trend
B) Seasonality
C) Cycles
D) Irregularities
E) All of the choices may be exhibited

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

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Simple exponential smoothing is being used to forecast demand.The previous forecast of 66 turned out to be 3 units less than actual demand.The next forecast is 66.6,implying a smoothing constant,alpha,equal to:


A) .01
B) .10
C) .15
D) .20
E) .60

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

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Given forecast errors of 5,0,-4,and 3,what is the mean absolute deviation (MAD) ?


A) 4
B) 3
C) 2.5
D) 2
E) 1

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

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The MSE is the best measure to use in a control chart to monitor if forecast error is randomly distributed around a mean value of 0.

A) True
B) False

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Given forecast errors of -5,-10,and + 15,what is the mean absolute deviation (MAD) ?


A) 0
B) 10
C) 30
D) 175
E) None of these.

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

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Which of the following is not a step in the forecasting process?


A) Determine the purpose of the purpose.
B) Eliminate any assumptions and rely solely on verifiable factual data.
C) Establish a forecasting horizon.
D) Select a forecasting technique.
E) Monitor the forecast.

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

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The mean absolute deviation (MAD) is used to:


A) estimate the trend line.
B) eliminate forecast errors.
C) measure forecast accuracy.
D) seasonally adjust the forecast.
E) all of the choices.

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

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