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high low method

Forums › Ask ACCA Tutor Forums › Ask the Tutor ACCA MA – FIA FMA › high low method

  • This topic has 5 replies, 2 voices, and was last updated 4 years ago by AvatarJohn Moffat.
Viewing 6 posts - 1 through 6 (of 6 total)
  • Author
    Posts
  • August 13, 2021 at 7:53 am #631407
    Avatarjohnbriane
    Member
    • Topics: 170
    • Replies: 159
    • ☆☆☆

    Sir Unlike the high low method regression analysis uses all available past data
    To calculate the line of best fit

    And
    Like the high low method regression analysis is used to predict a linear relationship between two variables

    Am I correct sir ?

    August 13, 2021 at 9:20 am #631425
    AvatarJohn Moffat
    Keymaster
    • Topics: 57
    • Replies: 54838
    • ☆☆☆☆☆

    Yes, although you are not working it quite correctly.

    The high low method assumes that their is a precise linear relationship – it is unlikely to be exactly linear in real life.

    August 13, 2021 at 10:11 am #631434
    Avatarjohnbriane
    Member
    • Topics: 170
    • Replies: 159
    • ☆☆☆

    Why is it unlikely to be an exact linear relationship in real life

    August 13, 2021 at 5:02 pm #631472
    AvatarJohn Moffat
    Keymaster
    • Topics: 57
    • Replies: 54838
    • ☆☆☆☆☆

    Because things don’t go perfectly in real life!!

    Some things do. For example if you use twice as much electricity in a month then you would expect the cost to be exactly twice as much.

    However, if you make twice as many units in a month then the total cost of production will probably be close to twice as much but probably not exactly twice as much – things go wrong 🙂

    August 14, 2021 at 4:11 am #631507
    Avatarjohnbriane
    Member
    • Topics: 170
    • Replies: 159
    • ☆☆☆

    Thank you sir

    August 14, 2021 at 11:33 am #631548
    AvatarJohn Moffat
    Keymaster
    • Topics: 57
    • Replies: 54838
    • ☆☆☆☆☆

    You are welcome.

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Viewing 6 posts - 1 through 6 (of 6 total)
  • The topic ‘high low method’ is closed to new replies.

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