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Trend Analysis – seasonal variations

Forums › CIMA Forums › Trend Analysis – seasonal variations

  • This topic has 1 reply, 2 voices, and was last updated 9 years ago by Cath.
Viewing 2 posts - 1 through 2 (of 2 total)
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    Posts
  • January 18, 2017 at 9:07 am #368115
    jforrest19
    Member
    • Topics: 7
    • Replies: 1
    • ☆

    Struggling slightly with a question on the P1 mock on trend.
    Could someone please break down the workings, for question below.

    Many Thanks
    James

    The trend for sales of Product A is represented by the following:

    y = 10,000 + 3,000x where:

    y = trend for sales units in a quarter

    x = the quarter number, where 1 = quarter 1 of year 1, and so on.

    Actual sales of Product A in Year 1 were affected by seasonal variations.

    The number of units sold in quarter 2 was 18,000.

    What are the expected sales of Product A (in units) for Year 2, quarter 2, after adjusting for seasonal variations using the multiplicative model?

    Give your answer to the nearest whole unit.

    Answer is 31500

    January 21, 2017 at 9:41 pm #368808
    Cath
    Participant
    • Topics: 0
    • Replies: 448
    • ☆☆☆

    Hi,

    Ok so in Q2 yr1 – the quarter number will be 2 so we insert that into the trend equation:

    The trend says that units for that period should be: 10000 + 3000(2) = 16000 units

    The actual units were 18000

    So it shows a quarter 2 seasonal variation of 2000 units (this means a 2000/16000 = +12.5% variation). We assume this variation will apply to all quarter 2 sales in future

    So coming to calculate Quarter 2 – year 2 – our quarter number will be 6

    For that period the trend says units will be 10000 + 3000(6) =28000units and we now need to increase this for a seasonal variation of 12.5%

    so 28000 x 1.125= 31500 units

    Hope you can follow – please let me know if not 🙂
    Cath

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