we added coordinate cross into the plot to make it easier to understand the line looking at [ we see that the slope should be around which we can confirm visually in the plot the intercept is where the prediction line should cross the -axisthis is slightly below zerowhich you can also confirm in the image linear models for regression can be characterized as regression models for which the prediction is line for single featurea plane when using two featuresor hyperplane in higher dimensions (that iswhen using more featuresif you compare the predictions made by the straight line with those made by the kneighborsregressor in figure - using straight line to make predictions seems very restrictive it looks like all the fine details of the data are lost in sensethis is true it is strong (and somewhat unrealisticassumption that our target is linear supervised learning