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❶Stanford Encyclopedia of Philosophy. Both linear regression and non-linear regression are addressed in polynomial least squares , which also describes the variance in a prediction of the dependent variable y axis as a function of the independent variable x axis and the deviations errors, noise, disturbances from the estimated fitted curve.

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