Tom continues to be the most underrated Stats expert on UA-cam. 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 UA-cam. 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!
Great video
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?
4:48 "if I was" or "if I were" ..?