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Sales forecasting practice questions.

27 exam-style questions on Sales forecasting — topic 4.3 of Marketing in the IB Business Management syllabus — with answers and explanations. Samples below; the full set is free with an account.

At a glance

About this topic

Syllabus code
4.3
Subject
IB Business Management
Unit
4 · Marketing
Questions
27 with worked answers
Question types
9 multiple-choice questions · 8 fill-in-the-gap questions · 5 flashcards · 4 true/false questions · 1 matching task
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Sample questions on Sales forecasting

In time-series analysis, which component captures the underlying long-term direction of sales over several years, ignoring short-term fluctuations?

  • Seasonal variation
  • Cyclical variation
  • The trend
  • Random (irregular) variation

Answer: The trend

The trend is the smoothed long-term movement of the data; seasonal and cyclical components describe shorter-term repeating patterns around that trend.

When forecasting quarterly sales that peak every summer and dip every winter, which time-series component is being captured?

  • Cyclical variation
  • Seasonal variation
  • Trend
  • Random variation

Answer: Seasonal variation

Seasonal variation is a regular pattern that repeats within a year (e.g. quarterly peaks and troughs); cyclical variation spans longer, multi-year business cycles.

A four-quarter moving average is used rather than a three-quarter one for quarterly data primarily because it:

  • Reduces the amount of arithmetic required
  • Averages out the full seasonal cycle
  • Always produces a higher forecast
  • Removes the need for centring the averages

Answer: Averages out the full seasonal cycle

Using a period equal to the seasonal cycle (four quarters) smooths out seasonal variation so the moving average reflects the trend; an even period then requires centring.

For a given quarter the actual sales are 220 units and the trend (moving average) value is 200 units, using an additive model. Calculate the seasonal variation for that quarter.

  • +20 units
  • −20 units
  • +10%
  • +420 units

Answer: +20 units

In the additive model, seasonal variation = actual − trend = 220 − 200 = +20 units.

A trend line for sales is Y = 500 + 30x, where x is the quarter number. The seasonal variation for Q3 is −40 units. Determine the forecast sales for quarter x = 12 (a Q3).

  • 820 units
  • 860 units
  • 900 units
  • 780 units

Answer: 820 units

Trend at x=12 is 500 + 30×12 = 860; adding the seasonal variation of −40 gives 860 − 40 = 820 units.

Which of the following is a valid criticism of extrapolating a trend line far into the future to forecast sales?

  • It ignores all past sales data
  • It assumes the past trend will simply continue
  • It cannot be plotted on a graph
  • It only works for products with seasonal demand

Answer: It assumes the past trend will simply continue

Extrapolation assumes the historical trend persists; sudden market, technological or economic changes can make distant forecasts unreliable.

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27 Sales forecasting questions — free with an account. Spaced repetition, streaks and full exam simulations included.

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