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In trend-adjusted exponential smoothing, the trend-adjusted forecast consists of:


A)  an exponentially smoothed forecast and a smoothed trend factor.
B)  the most recent actual value and an estimated trend value
C)  the old forecast adjusted by a trend factor.
D)  the old forecast and a smoothed trend factor.
E)  a moving average and a trend factor.

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

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Suppose a three-period weighted average is being used to forecast demand. Weights for the periods are as follows: wt-3 = 0.2, wt-2 = 0.3 and wt-1 = 0.5. Demand observed in the previous three periods was as follows: At-3 = 2,200, At-2 = 1,950, At-1 = 2,050. What will be the demand forecast for period t?


A)  2,000
B)  2,095
C)  1,980
D)  2,050
E)  1,875

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

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The president of State University wants to forecast student enrollments for this academic year based on the following historical data:  Year  Enrollments  5 Years ago 15,000 4 Years ago 16,0003 Years ago 18,000 2 Years ago 20,000 Last Year 21,000\begin{array} { | l | c | } \hline \text { Year } & \text { Enrollments } \\\hline \text { 5 Years ago } & 15,000 \\\hline \text { 4 Years ago } & 16,000 \\\hline 3 \text { Years ago } & 18,000 \\\hline \text { 2 Years ago } & 20,000 \\\hline \text { Last Year } & 21,000 \\\hline\end{array} 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) A) and B)
G) C) and D)

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A persistent tendency for forecasts to be greater than or less than the actual values is called:


A)  bias.
B)  tracking.
C)  control charting.
D)  positive correlation.
E)  linear regression.

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

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The dean of a school of business is forecasting total student enrollment for this year's summer session classes based on the following historical data:  Year  Enrollment  Four years ago 2000 Three years ago 2200 Two years ago 2800 Last year 3000\begin{array} { | l | c | } \hline { \text { Year } } & \text { Enrollment } \\\hline \text { Four years ago } & 2000 \\\hline \text { Three years ago } & 2200 \\\hline \text { Two years ago } & 2800 \\\hline \text { Last year } & 3000 \\\hline\end{array} What is this year's forecast using a three-year simple moving average?


A)  2,667
B)  2,600
C)  2,500
D)  2,400
E)  2,333

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

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Forecasts help managers both to plan the system itself and to provide valuable information for using the system.

A) True
B) False

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The owner of Darkest Tans Unlimited in a local mall is forecasting this month's (October's) demand for the one new tanning booth based on the following historical data:  Month  Number of Visits  April 100 May 140 June 110 July 150 August 120 September 160\begin{array} { | l | c | } \hline { \text { Month } } & \text { Number of Visits } \\\hline \text { April } & 100 \\\hline \text { May } & 140 \\\hline \text { June } & 110 \\\hline \text { July } & 150 \\\hline \text { August } & 120 \\\hline \text { September } & 160 \\\hline\end{array} 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) B) and E)
G) A) and B)

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A forecast method is generally deemed to perform adequately when the errors exhibit an identifiable pattern.

A) True
B) False

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Given the following historical data and weights of .5, .3, and .2, what is the three-period moving average forecast for period 5?  Year  Attendance  Four Years ago 10,000 Three Years ago 12,000 Two Years ago 18,000 Last Year 20,000\begin{array} { | l | c | } \hline { \text { Year } } & \text { Attendance } \\\hline \text { Four Years ago } & 10,000 \\\hline \text { Three Years ago } & 12,000 \\\hline \text { Two Years ago } & 18,000 \\\hline \text { Last Year } & 20,000 \\\hline\end{array}


A)  144.2
B)  144.8
C)  144.67
D)  143
E)  144

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

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The degree of management involvement in short-range forecasts is:


A)  none.
B)  low.
C)  moderate.
D)  high.
E)  total.

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

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Moving average forecasting techniques do the following:


A)  Immediately reflect changing patterns in the data.
B)  Lead changes in the data.
C)  Smooth variations in the data.
D)  Operate independently of recent data.
E)  Assist when organizations are relocating.

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

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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) A) and B)

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Time-series techniques involve the identification of explanatory variables that can be used to predict future demand.

A) True
B) False

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Which of the following is a potential shortcoming of using sales force opinions in demand forecasting?


A)  Members of the sales force often have substantial histories of working with and understanding their customers.
B)  Members of the sales force often are well aware of customers' future plans.
C)  Members of the sales force have direct contact with consumers.
D)  Members of the sales force can have difficulty distinguishing between what customers would like to do and what they actually will do.
E)  Customers often are quite open with members of the sales force with regard to future plans.

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

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Which of the following smoothing constants would make an exponential smoothing forecast equivalent to a naive forecast?


A)  0
B)  0.01
C)  0.1
D)  0.5
E)  1

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

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The use of a control chart assumes that random errors are normally distributed about a mean of zero.

A) True
B) False

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A forecast based on the previous forecast plus a percentage of the forecast error is:


A)  a naive forecast.
B)  a simple moving average forecast.
C)  a centered moving average forecast.
D)  an exponentially smoothed forecast.
E)  an associative forecast.

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

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The mean absolute deviation is used to:


A)  estimate the trend line.
B)  eliminate forecast errors.
C)  measure forecast accuracy.
D)  seasonally adjust the forecast.
E)  compute periodic forecast errors.

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

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


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

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

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