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Linear Equations

Forums › Ask ACCA Tutor Forums › Ask the Tutor ACCA MA – FIA FMA › Linear Equations

  • This topic has 6 replies, 3 voices, and was last updated 10 years ago by AvatarJohn Moffat.
Viewing 7 posts - 1 through 7 (of 7 total)
  • Author
    Posts
  • July 7, 2015 at 7:54 pm #259907
    Avatardecent0013
    Member
    • Topics: 10
    • Replies: 13
    • ☆

    Hello John.
    I couldn’t find lecture covering linear equations topic (which i have in BPP text under chapter cost behavior). can you please advise a link if it is available.
    Just wanted to understand more better regarding this topic.
    Thanks

    July 8, 2015 at 3:14 am #259923
    Avatarsamh
    Member
    • Topics: 15
    • Replies: 42
    • ☆☆

    is it correlation coefficient and determination?
    you can find them in the lectures.

    July 8, 2015 at 7:10 am #259939
    AvatarJohn Moffat
    Keymaster
    • Topics: 57
    • Replies: 54839
    • ☆☆☆☆☆

    Yes – for F2 is it being able to do regression analysis and also the high-low technique.

    July 8, 2015 at 1:18 pm #260083
    Avatardecent0013
    Member
    • Topics: 10
    • Replies: 13
    • ☆

    Yes it is the regression analysis (formula y=a+bx), in which chapter lecture are you covering this topic? Thanks if you can advise please.

    p.s. High Low technique is very well explained in your cost classification chapter lecture.

    July 8, 2015 at 3:18 pm #260124
    AvatarJohn Moffat
    Keymaster
    • Topics: 57
    • Replies: 54839
    • ☆☆☆☆☆

    Chapter 17 – semi-variable costs.

    This chapter (and the lectures that go with it) repeats high-low and also covers regression analysis.

    (If you go through the lectures in order they cover everything you need to pass F2 well.)

    July 8, 2015 at 7:19 pm #260224
    Avatardecent0013
    Member
    • Topics: 10
    • Replies: 13
    • ☆

    Thanks a lot. Your lectures are definitely helpful.

    July 8, 2015 at 9:10 pm #260250
    AvatarJohn Moffat
    Keymaster
    • Topics: 57
    • Replies: 54839
    • ☆☆☆☆☆

    You are welcome (and thank you).

  • Author
    Posts
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