Tom continues to be the most underrated Stats expert on RUclips. He's excellent at providing intuition for crucial concepts, and he actually knows how to use a microphone!
Amazing Video, one question: Why would we look at r squared to get the effect size in the case of a linear relationship and not on the beta coefficient? The beta coefficient would tell us how much the dependent variable changes with 1 unit change in the independent variable, isn’t this the proper way to assess the meaningfulness of an effect?
Tom continues to be the most underrated Stats expert on RUclips. He's excellent at providing intuition for crucial concepts, and he actually knows how to use a microphone!
the bants on this lad are absolutely out of control
also v good explanation, make more
this was just what I was looking for :) thanks for the clear and witty explanation.
Informative and amusing. Thanks!
Amazing Video, one question: Why would we look at r squared to get the effect size in the case of a linear relationship and not on the beta coefficient? The beta coefficient would tell us how much the dependent variable changes with 1 unit change in the independent variable, isn’t this the proper way to assess the meaningfulness of an effect?
Great video
4:48 "if I was" or "if I were" ..?