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Linear Regression and Unplanned Variances

Forums › Ask ACCA Tutor Forums › Ask the Tutor ACCA APM Exams › Linear Regression and Unplanned Variances

  • This topic has 5 replies, 2 voices, and was last updated 3 weeks ago by AvatarKen Garrett.
Viewing 6 posts - 1 through 6 (of 6 total)
  • Author
    Posts
  • April 15, 2026 at 11:59 am #725746
    Avatarsherose
    Participant
    • Topics: 3
    • Replies: 2
    • ☆

    Hello

    I took the last paper in March and there was a topic on linear regression and unplanned variances. These are two things I haven’t come across before. But does anyone know how to attempt these? I have looked through notes and can’t find anything on linear regression.

    TIA

    April 16, 2026 at 3:54 pm #725750
    AvatarKen Garrett
    Keymaster
    • Topics: 10
    • Replies: 10657
    • ☆☆☆☆☆

    Linear regression is not mentioned in the APM syllabus, but it is assumed knowledge from MA and PM.

    See p72 of our MA notes.

    April 16, 2026 at 5:04 pm #725751
    Avatarsherose
    Participant
    • Topics: 3
    • Replies: 2
    • ☆

    I have looked at the page mentioned – however this doesn’t really clear anything for me. i get the formula y = a+bx. But is there an example I can work this against?

    Am I saying if A is 5
    B is 10
    and X is 130

    I do 130 x 10 = 1300
    plus the value of A, this would be 1305?

    April 17, 2026 at 11:15 am #725775
    AvatarKen Garrett
    Keymaster
    • Topics: 10
    • Replies: 10657
    • ☆☆☆☆☆

    Yes. That’s right.

    April 17, 2026 at 3:59 pm #725779
    Avatarsherose
    Participant
    • Topics: 3
    • Replies: 2
    • ☆

    what if X is a minus figure? or Y has been worked out?

    From what I remember, the example in the exam had the X and Y value already and asked to use linear regression to complete the next quarter of the rolling forecast

    April 18, 2026 at 5:56 pm #725793
    AvatarKen Garrett
    Keymaster
    • Topics: 10
    • Replies: 10657
    • ☆☆☆☆☆

    I can’t imagine that in a business question that x will be minus. It is likely to represent time, probably counting each year or each quarter. The regression line equation can then be used to predict the y value. If the actual y value is different then there is a variable between budget (ie prediction) and actual.

  • Author
    Posts
Viewing 6 posts - 1 through 6 (of 6 total)
  • The topic ‘Linear Regression and Unplanned Variances’ is closed to new replies.

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