How to do Linear Regression with Excel Data Analysis Toolpak

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  • Опубликовано: 22 авг 2024

Комментарии • 43

  • @pelagiushipbone7968
    @pelagiushipbone7968 4 года назад +29

    Good Lord I just spent 4 hours worth of Uni classes trying to grasp Linear regression using excel and you taught it to me in 10 minutes. You really just saved me!

  • @jameshintexas
    @jameshintexas 4 года назад +7

    Matt, your brilliant video explained linear regression perfectly. thankyou.

  • @lvteachme973
    @lvteachme973 3 года назад +1

    You're the best instructor ever! Thanks you!

  • @jackm891
    @jackm891 2 года назад

    Absoulte legend!! Made my home work make sense in 10 minutes.

  • @kasmindanil5527
    @kasmindanil5527 3 года назад +1

    thanks sir for the great explanation

  • @yz7650
    @yz7650 2 года назад +1

    Really detailed video. super helpful!

  • @kevinmckennanar
    @kevinmckennanar 3 года назад +1

    Outstanding video!

    • @MattMacarty
      @MattMacarty  3 года назад

      Thanks very much. Glad it helped

  • @tanishascottham
    @tanishascottham 2 года назад

    You saved my night! Thank you! [3:25]

  • @SoneriVishwa
    @SoneriVishwa Год назад

    excellent explanation sir🎉

  • @AnandPenmatcha
    @AnandPenmatcha 4 года назад +1

    Excellent video

  • @sheenamachica9068
    @sheenamachica9068 3 года назад +1

    thank you 💙

  • @jDeppen
    @jDeppen Год назад

    Thanks!

    • @MattMacarty
      @MattMacarty  Год назад

      Thanks very much. Glad it helped

  • @berto_osorio_fl
    @berto_osorio_fl 2 года назад

    thank you!

  • @or-mielfaraja8718
    @or-mielfaraja8718 3 года назад

    This is awesome. Great video.

  • @bencastro92
    @bencastro92 Год назад

    Lifesaver

  • @sonyse2t5
    @sonyse2t5 4 года назад

    Master class

  • @prestoncummins4646
    @prestoncummins4646 2 года назад

    Why didn’t you include the standard error in the equation to predict the price of the house? The formula to predict the y-value is y = B sub 0 + B sub 1 • x + € (that’s supposed to be epsilon).

    • @MattMacarty
      @MattMacarty  2 года назад

      Yes that's right the presentation of the equation includes an error term, but it is expected to be 0. We don't use it to calculate the least squares line. Standard error is an altogether different term though. If I were calculating a prediction interval or confidence interval then I would need the standard error.

  • @imranmaarof9910
    @imranmaarof9910 2 года назад

    In the example, the p-value for the intercept is 0.41919 which is greater than 0.05 right. So what happened to the intercept value? do we use the value of -222.68?

    • @MattMacarty
      @MattMacarty  2 года назад

      Hi. In general we don't do anything with the intercept p-value. It's the slope p-value we are interested in. P-value will always be positive, the -228 number is the t and with such a high t you must have a very low p-value indicating that in all likelihood the slope is not 0,

    • @imranmaarof9910
      @imranmaarof9910 2 года назад

      Thank you so much, I understand now👍👍👍

  • @razzyd
    @razzyd 2 года назад

    how do i do this on a mac book pro??? I tried holding the alt key pressing t and i and it didn't work for me .

    • @MattMacarty
      @MattMacarty  2 года назад

      Do you how do you turn on Data Analysis? It's in the Tools menu at the bottom you will see Excel Add ins.

  • @rajeshj5994
    @rajeshj5994 3 года назад

    For every one sq.ft increase, the sale price increases by 2.12 or 2.12 multiplied by 100?

    • @MattMacarty
      @MattMacarty  3 года назад

      The data are in the same scale so it's 2.12/sq ft, but yes to get back to the original data it's 212/sq ft.

  • @daidai1562
    @daidai1562 10 месяцев назад

    后卫