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How to run R-style linear regressions in Python the easy way
The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
Explaining the good and bad of regression to the mean and how it can help predict the future and improve your fantasy rosters ...
This week's column takes a close look at which receivers are commanding targets at a high rate and what that could mean for ...
Every week during the regular season I’ll highlight players whose usage and opportunity doesn’t quite match their production.
Incentive-based compensation has many benefits, but implementing it can be overwhelming. Here's how to create a plan that ...
I shed fragments of myself all over my studio apartment. Flakes of dead skin fell out of my laptop, my sheets, my couch.
The Green Bay Packers defense has kept opposing offenses under 20 points in four of their five games so far this season, but at times they have failed to slam the door in the second half. Of the 102 ...
For a team with the Minnesota Wild’s skill and talent, it’s hard to be this bad for this long. As it stands, the Wild are the ...
Multicollinearity is a common issue in multiple regression analysis, where the presence of high correlation among predictor ...
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