Exam 4: Forecasting

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A skeptical manager asks what long-range forecasts can be used for.Give her three possible uses/purposes.

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Any three of: planning new products,capital expenditures,facility location or expansion,research and development.

Given the following data,calculate the three-year moving averages for years 4 through 10. Given the following data,calculate the three-year moving averages for years 4 through 10.

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When one constant is used to smooth the forecast average and a second constant is used to smooth the trend,the forecasting method is ________.

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exponential smoothing with trend adjustment or trend-adjusted smoothing or second-order smoothing or double smoothing

Jim's department at a local department store has tracked the sales of a product over the last ten weeks.Forecast demand using exponential smoothing with an alpha of 0.4,and an initial forecast of 28.0 for period 1.Calculate the MAD.What do you recommend? Jim's department at a local department store has tracked the sales of a product over the last ten weeks.Forecast demand using exponential smoothing with an alpha of 0.4,and an initial forecast of 28.0 for period 1.Calculate the MAD.What do you recommend?

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Demand for a certain product is forecast to be 800 units per month,averaged over all 12 months of the year.The product follows a seasonal pattern,for which the January monthly index is 1.25.What is the seasonally-adjusted sales forecast for January?

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Identify three advantages of the moving average forecasting model.Identify three disadvantages of the moving average forecasting model.

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

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The last seven weeks of demand at a new car dealer are shown below.Use a three-period weighted-moving average to determine a forecast for the 8th week using weights of 1,2,and 3.Calculate the MAD for this forecast.What does the MAD indicate? Week Sales 1 25 2 30 3 27 4 31 5 27 6 29 7 30

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Explain the role of regression models (time series and otherwise)in forecasting.That is,how is trend projection able to forecast? How is regression used for causal forecasting?

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Which of the following values of alpha would cause exponential smoothing to respond the most slowly to forecast errors?

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A six-month moving average forecast is generally better than a three-month moving average forecast if demand

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Identify the seven steps involved in forecasting.

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Compare seasonal effects and cyclical effects.

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Marie Bain is the production manager at a company that manufactures hot water heaters.Marie needs a demand forecast for the next few years to help decide whether to add new production capacity.The company's sales history (in thousands of units)is shown in the table below.Use exponential smoothing with trend adjustment,to forecast demand for period 6.The initial forecast for period 1 was 11 units;the initial estimate of trend was 0.The smoothing constants are α = .3 and β = .3. Marie Bain is the production manager at a company that manufactures hot water heaters.Marie needs a demand forecast for the next few years to help decide whether to add new production capacity.The company's sales history (in thousands of units)is shown in the table below.Use exponential smoothing with trend adjustment,to forecast demand for period 6.The initial forecast for period 1 was 11 units;the initial estimate of trend was 0.The smoothing constants are α = .3 and β = .3.

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Given an actual demand of 61,a previous forecast of 58,and an alpha of .3,what would the forecast for the next period be using simple exponential smoothing?

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The last four months of sales were 8,10,15,and 9 units.The last four forecasts were 5,6,11,and 12 units.The Mean Absolute Deviation (MAD)is

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A fundamental distinction between trend projection and linear regression is that

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A time-series model uses a series of past data points to make the forecast.

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________ are useful if we can assume that market demands will stay fairly steady over time.

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In trend projection,a negative regression slope is mathematically impossible.

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