Machine Learning, Linear Regression, Regression, Web, Webdev.
variables; ideally, to be able to differentiate signal from noise. To make a regression can be a piece of cake. The use of a basic model of <- y~x would suffice. The issue is how to make the model more accurate? Let’s imagine your model gave adjusted R squared (R2)= 0,867; how can you optimize it?