MATH 1343 - Week 14 (03): ANOVA Table for Regression

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  • Опубликовано: 2 окт 2024

Комментарии • 10

  • @khalifaalqubaisi8500
    @khalifaalqubaisi8500 Год назад +3

    Thank you 👍👍👍👍👍🙏🏼

  • @janakchauhan-cj1647
    @janakchauhan-cj1647 4 года назад +1

    Hello,can you plz make it same for two way ANOVA classification for linear Regression

    • @chrischappa962
      @chrischappa962  3 года назад +1

      If I ever teach a class that covers two-way ANOVA, I might. If you run across a video of mine, it's most likely because it's for a specific class I'm teaching.

    • @kalpanatyagi4936
      @kalpanatyagi4936 3 года назад

      @@chrischappa962 🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉

  • @chanukadhananjaya8487
    @chanukadhananjaya8487 3 года назад +2

    How to find y hat using regression model and without anova table given!?

    • @chrischappa962
      @chrischappa962  3 года назад +4

      Well, you would need a y-hat value for each data point in your observed ordered pairs. This means you would need every ordered pair (x,y) (x = explanatory value, y = response value) in your bivariate data set. Also, you need the regression equation evaluated at that ordered pair's x-value.
      For example, let's say you observe x=10 and y = 15, and your regression equation is
      y-hat = 1.3x + 2.4
      Then letting x = 10 would give y-hat = 1.3(10) + 2.4 = 15.4
      If you happened to have your complete bivariate data set in Excel, it would be easy to calculate the y-hat's, as well as anything else you need.
      Hope this help. In the book I was using for this class, the authors were notorious for saying "using a computer output, we get these values" without ever actually calculating those values. As a theoretical mathematician, this drives me crazy!

    • @chanukadhananjaya8487
      @chanukadhananjaya8487 3 года назад +1

      @@chrischappa962
      Thank you so much for the informative explanation. It means a lot to me. 🙏🙏🙏

  • @rockzz8603
    @rockzz8603 2 года назад +2

    Thank you sir