“How do you draw the best possible line through the data? … it’s a lot of data out there. One thing you can do is you can fit that data to linear models. What linear models will do is they’ll explain some percentage of the variation. Maybe a lot, maybe a little. These linear models will also tell us the sign and magnitude of coefficients. So it’ll tell us whether a variable. It’s got a positive effect but it’s got a negative effect. And also tell a sort of how big that effect is, and that allows us to make policy choices. You know, investing in things like teacher quality as opposed to class size because they have a larger effect. This is what I call big coefficient thinking.” – Transcript from Scott Page Coursera
Source:
Scott Page Model Thinking MOOC Course
