Exam 18: Time Series and Forecasting

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A typical seasonal index of 103.7 for January indicates that sales for January are below the annual average.

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A ______________ analysis predicts the future on the basis of past data.

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Knowing the seasonal pattern in the form of indexes allows the retailer to deseasonalize sales. This is accomplished by dividing the actual sales for a month by the typical index for that month.

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A plastics manufacturer performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes: A plastics manufacturer performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes:   = 920.0 + 22.6t   Based on the seasonal indexes, which quarter is expected to have 21% more demand than predicted by the trend line? = 920.0 + 22.6t A plastics manufacturer performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes:   = 920.0 + 22.6t   Based on the seasonal indexes, which quarter is expected to have 21% more demand than predicted by the trend line? Based on the seasonal indexes, which quarter is expected to have 21% more demand than predicted by the trend line?

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Product sales since 2001 are: Product sales since 2001 are:   The least squares trend equation is given as: Ŷ = 100 + 28t, where t is set equal to 1 for 2001. What were the predicted sales in 2006? The least squares trend equation is given as: Ŷ = 100 + 28t, where t is set equal to 1 for 2001. What were the predicted sales in 2006?

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What is the long-term behavior of a variable over an extended period of time called?

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For the third quarter, the sales are 2,500 units; the seasonal index for the quarter is 0.95. What are the deseasonalized sales for the quarter?

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Product sales since 2001 are: Product sales since 2001 are:   The least squares trend equation is given as: Ŷ = 100 + 28t, where t is set equal to 1 for 2001. What is the three-year moving average for 2007 to 2009? The least squares trend equation is given as: Ŷ = 100 + 28t, where t is set equal to 1 for 2001. What is the three-year moving average for 2007 to 2009?

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If the exports (in $millions) for the period 2006 through 2010 were $878, $892, $864, $870, and $912, respectively, what are these values called?

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A resort hotel performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes: Ŷ = 1000 + 150t A resort hotel performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes: Ŷ = 1000 + 150t   The seasonal indexes have ______________. The seasonal indexes have ______________.

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For the third quarter, the sales are 2,500 units; the seasonal index for the quarter is 1.20. What are the deseasonalized sales for the quarter?

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One component of a time series is cyclical variation. An example of cyclical variation is the business cycle that consists of periods of prosperity followed by periods of recession, depression, and recovery.

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The ________________ method is used to determine the linear equation when the best fitting straight line is required.

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To calculate monthly typical seasonal indexes, the specific seasonal indexes must be averaged for:

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To study the trend and cycle components of a time series, typical seasonal indexes are used to compute ___________.

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The moving average method smoothes out the fluctuations in the data.

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Given the following trend equation based on five years of annual sales (in millions of dollars), beginning in 2005: Ŷ = 4.53 + 1.54t The estimated value for 2008 is ______.

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If the trend equation is Ŷ = 10 + 100t, the forecasted value increases 100 units for the next time period, t.

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A resort hotel performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes: Ŷ = 1000 + 150t A resort hotel performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes: Ŷ = 1000 + 150t   Based on the seasonal indexes, which quarter is expected to have 15% more demand than predicted by the trend line? Based on the seasonal indexes, which quarter is expected to have 15% more demand than predicted by the trend line?

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For quarterly seasonal indexes, the total of the adjusted quarterly indexes will equal _____.

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