Exam 5: Forecasting

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Sophisticated forecasting models using massive computing power allow companies to produce exact forecasts.

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Why would someone select a causal model over time series or qualitative models for forecasting?

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Develop seasonal indices for each quarter for the following demand data: Develop seasonal indices for each quarter for the following demand data:

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Briefly explain what effect including more periods will have on a moving average.

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In exponential smoothing,a small value of alpha will produce a more responsive forecast than a large alpha value.

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Weighted moving average and exponential smoothing both account for trends in the data being forecasted.

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Linear regression models can only include one independent variable.

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What term describes demand that is characterized by regular repletion of increases or decreases in demand as measured in time periods of less than a year?

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In a 5-period weighted moving average forecast for period t + 1,which period will have the most weight?

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Which of the following alpha values will have the most responsive forecast?

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Which of the following is not a component of demand?

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In the exponential smoothing model,what is the effect of the size of alpha on the forecast?

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The benefit of a weighted moving average is that it allows a greater emphasis on the past demand than most recent periods.

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A 7-day moving average will be more responsive than a 3-day moving average.

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The local university's student weight room recorded the number of visitors over the previous 5 days. The local university's student weight room recorded the number of visitors over the previous 5 days.    What would a 3-day moving average forecast be for the 6th day? What would a 3-day moving average forecast be for the 6th day?

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Quantitative techniques for forecasting are based on subjective factors,estimates,and opinions.

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For the following data showing actual demand and forecasted demand for each quarter,calculate the MAD. For the following data showing actual demand and forecasted demand for each quarter,calculate the MAD.

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Radio frequency identification has no additional advantages over bar codes.

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Which of the following is not a common method for influencing seasonality?

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When the seasonal index value is 1,what is the interpretation of the value?

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