Weekly Challenges
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I really HATE how amazingly simple this one turned out to be. Wow. 🙄 I know I tend to make things more complicated than it needs to be, but sheeeeewwwwwy ......
Spoiler
I figured out step 1 all by myself, so proud. Totally skipped over step 2 because I'm silly. Collinearity is only mentioned in every single predictive article / training / help reference out there. The Chi-Sq effect had me all tripped up. It's referenced for individual variables in the distribution analysis, but not for overall models. If only I had taken a step back and realized we were comparing two models where one is the subset of the other, the very use case for a nested test. How often do you get to use a nested test? That depends, how often do you study for the expert exam? 😏
I figured out step 1 all by myself, so proud. Totally skipped over step 2 because I'm silly. Collinearity is only mentioned in every single predictive article / training / help reference out there. The Chi-Sq effect had me all tripped up. It's referenced for individual variables in the distribution analysis, but not for overall models. If only I had taken a step back and realized we were comparing two models where one is the subset of the other, the very use case for a nested test. How often do you get to use a nested test? That depends, how often do you study for the expert exam? 😏
Never had a challenge that requires so few tools take so long
Another great challenge, great to get some experience of official Expert level questions too.
Spoiler
Had to do some googling to get a solution on this one. I was initially confused when there was no model suggested for the second part of the question but realised that was part of the challenge. I've tried to include some brief reasoning for my choice of logistic regression, (not certain its correct reasoning but its the thought process i went through).
