Linear Regression, Data Science, Modeling, Ordinary Least Square, Regression.
of interest. It then looks to find the coefficient that fits the residuals from that regression process. Pretty cool right? By the way, that’s why multicollinearity is such a problem — if we regress a variable against another very similar variable, there won’t be much signal left in the residuals.