We now return to the case where we know the data and can see the linear correlation in a scatterplot, but we do not know the values of the parameters of the underlying model. The Sum of Squared Residu...We now return to the case where we know the data and can see the linear correlation in a scatterplot, but we do not know the values of the parameters of the underlying model. The Sum of Squared Residual Errors (SSE) for this line is 38.578, making it the “best line”. (Compare to the value above, in which we picked the line that perfectly fit the two most extreme points).
