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Sales forecasting: WJEC A‑Level Business questions

Every WJEC A-Level Business exam question on 3.3 Sales forecasting, 2016–2025, with its mark scheme and examiner’s report.

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410 questions

  1. Q1(a)

    Summer 2025 · Unit 3

    1 mark3.3 Sales forecasting
    The whole paper ↗
    Summer 2025 Unit 3, question 1(a): State what is meant by sales forecasting. [1]

  2. Q1(b)(i)

    Summer 2025 · Unit 3

    2 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2025 Unit 3, question 1(b)(i): Three-point moving average for 2017.

  3. Q1(b)(ii)

    Summer 2025 · Unit 3

    3.3 Sales forecasting
    The whole paper ↗
    Summer 2025 Unit 3, question 1(b)(ii): Sales revenue for 2021.

  4. Q1(c)

    Summer 2025 · Unit 3

    3 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2025 Unit 3, question 1(c): Plot the three-point moving averages on the grid provided and use a line of best fit to predict the sales revenue for 2025. [3] 160 150 140 130 120 110 100 90 8

  5. Q1(d)

    Summer 2025 · Unit 3

    8 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2025 Unit 3, question 1(d): With reference to the data, evaluate the usefulness of time series analysis to the owners of Bassini’s Ice Cream Parlour. [8] Additional space for Question 1(d)

  6. Q1(a)

    Summer 2022 · Unit 3

    1 mark3.3 Sales forecasting
    The whole paper ↗
    Summer 2022 Unit 3, question 1(a): Use extrapolation to state how many guests are expected to stay at the Seaways Hotel chain in July 2022. [1]

  7. Q1(b)

    Summer 2022 · Unit 3

    6 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2022 Unit 3, question 1(b): Explain how the data in the graph could be used to aid the future planning of the Seaways Hotel chain. [6]

  8. Q1(c)

    Summer 2022 · Unit 3

    5 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2022 Unit 3, question 1(c): Describe the factors that could influence the reliability of the sales forecast for the Seaways Hotel chain for July 2022. [5] To improve the accuracy of foreca

  9. Q1(d)

    Summer 2022 · Unit 3

    8 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2022 Unit 3, question 1(d): With reference to the Delphi method and intuition, evaluate the usefulness of qualitative forecasting techniques. [8]

  10. Q6(a)

    Summer 2017 · Unit 3

    2 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2017 Unit 3, question 6(a): Calculate the value of (i) and (ii) in Figure 1 [2]

  11. Q6(b)

    Summer 2017 · Unit 3

    2 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2017 Unit 3, question 6(b): Plot all the three year moving averages on the graph provided and draw a line of best fit. [2] Sales revenue forecast for Daisy’s Dresses Ltd 300 250 200 150 Sa

  12. Q6(c)

    Summer 2017 · Unit 3

    1 mark3.3 Sales forecasting
    The whole paper ↗
    Summer 2017 Unit 3, question 6(c): Use the line of best fit to predict the sales revenue for 2018. [1] Not only do businesses use quantitative methods to forecast sales, qualitative techniques su

  13. Q6(d)

    Summer 2017 · Unit 3

    7 marks3.3 Sales forecasting
    The whole paper ↗
    Summer 2017 Unit 3, question 6(d): Evaluate the usefulness of both quantitative and qualitative methods of forecasting to small manufacturing companies such as Daisy’s Dresses Ltd. [7]
All 13 questions on Sales forecasting, as a list
  1. Summer 2025, Unit 3, Q1(a) (1 mark): State what is meant by sales forecasting. [1]
  2. Summer 2025, Unit 3, Q1(b)(i) (2 marks): Three-point moving average for 2017.
  3. Summer 2025, Unit 3, Q1(b)(ii): Sales revenue for 2021.
  4. Summer 2025, Unit 3, Q1(c) (3 marks): Plot the three-point moving averages on the grid provided and use a line of best fit to predict the sales revenue for 2025. [3] 160 150 140 130 120 110 100 90 8
  5. Summer 2025, Unit 3, Q1(d) (8 marks): With reference to the data, evaluate the usefulness of time series analysis to the owners of Bassini’s Ice Cream Parlour. [8] Additional space for Question 1(d)
  6. Summer 2022, Unit 3, Q1(a) (1 mark): Use extrapolation to state how many guests are expected to stay at the Seaways Hotel chain in July 2022. [1]
  7. Summer 2022, Unit 3, Q1(b) (6 marks): Explain how the data in the graph could be used to aid the future planning of the Seaways Hotel chain. [6]
  8. Summer 2022, Unit 3, Q1(c) (5 marks): Describe the factors that could influence the reliability of the sales forecast for the Seaways Hotel chain for July 2022. [5] To improve the accuracy of foreca
  9. Summer 2022, Unit 3, Q1(d) (8 marks): With reference to the Delphi method and intuition, evaluate the usefulness of qualitative forecasting techniques. [8]
  10. Summer 2017, Unit 3, Q6(a) (2 marks): Calculate the value of (i) and (ii) in Figure 1 [2]
  11. Summer 2017, Unit 3, Q6(b) (2 marks): Plot all the three year moving averages on the graph provided and draw a line of best fit. [2] Sales revenue forecast for Daisy’s Dresses Ltd 300 250 200 150 Sa
  12. Summer 2017, Unit 3, Q6(c) (1 mark): Use the line of best fit to predict the sales revenue for 2018. [1] Not only do businesses use quantitative methods to forecast sales, qualitative techniques su
  13. Summer 2017, Unit 3, Q6(d) (7 marks): Evaluate the usefulness of both quantitative and qualitative methods of forecasting to small manufacturing companies such as Daisy’s Dresses Ltd. [7]

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