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Assuming that we train a linear function (Y=f(X) =b0+b1X1) to reflect a relationship between predictor X1 and the output Y. Please explain why there are

Assuming that we train a linear function (Y=f(X) =b0+b1X1) to reflect a relationship between predictor X1 and the output Y. Please explain why there are still so many data points around the blue line(model we trained) instead of falling on this blue line

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