Exam 14: Estimating Potentials and Forecasting Sales

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The Buying Power Index includes such factors as disposable personal income, retail sales, and populations.

(True/False)
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The jury of executive opinion method can be done fairly quickly and allows the inclusion of many subjective factors.

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With leading indicators:

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When there is a strong trend in a time series, a moving average forecast always lags behind the trend; that is, it dampens the effect of a strong trend.

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With the sales force composite method, salespeople project sales volumes for customers in their own territory, and then the aggregated estimates are reviewed by higher management.

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When using the trend projection method, the analyst estimates trend from past data and adds this figure to current sales to obtain a forecast.

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"Sales potential" represents the sales volume a firm expects to achieve.

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The jury of executive opinion:

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The estimation of sales potential can be made using such things as the Buying Power Index and NAICS codes.

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Actual industry sales are usually less than market potential.

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When using moving averages it is important to determine the ideal number of periods to use.

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The __________ method is based on the assumption that sales follow a linear pattern. The major problem with this method, however, is knowing how much past data to include in the calculation of the forecast.

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An important aspect of exponential smoothing is its ability to emphasize recent data and systematically discount old information.

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The Buying Power Index expresses sales potential in:

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Time series projections can often be improved by making adjustments to eliminate monthly or quarterly effects. The adjustments are best known as:

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The Buying Power Index expresses sales potentials in absolute rather than relative terms.

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Actual sales in quarters 1 and 2 are 50 and 60, respectively. What is the percentage forecasting error for quarter 2 using a naïve approach?

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Leading indicators are typically better than other forecasting techniques in predicting turns in a series of sales figures.

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Simple linear regression:

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When forecasting sales for a particular product, all of the following are possible leading indicators except:

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