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Statistics and mathematics are two different disciplines. It makes sense for those who are applying various techniques for data-analysis if a distinction between these terms is known.

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In all mathematics, the concept of linearity is quite consistent. The only differnence I see is that a statistician would say that $Y=aX+b$ is linear, even thought is fails additivity property. A mathematician would say its affine.

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