there are three strands of things to do for the 2020 course edition. Each of them is associated with a separate github repo and a corresponding list of issues. Here is the overall overview.
we discussed how much of the existing material from moderndive to do here.
i advocated to keep the sequence sampling - bootstrap - hypothesis tests - regression inference as currently in the slides (not really in the book)
I agree that it's costly in terms of time, so you should feel free to try and shorten this sequence. maybe hypothesis tests could be shortened.
now they know regression inference. can go back and talk about the multicollinearity app now. (point estimates are correct, but with too much multicollinearity the standard errors explode)
master todo list
there are three strands of things to do for the 2020 course edition. Each of them is associated with a separate github repo and a corresponding list of issues. Here is the overall overview.
book
chapter sequences
here is one possibility of rearranging chapters.
cars
dataset here. it's nice and simple IMHO.wage ~ educ