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e ) With d ) in mind - historically we linearized plots so that fits were always linear regression which computationally was easier to be
e With d in mind historically we linearized plots so that fits were always linear regression which computationally was easier to be done by hand, then later by the early computers. Statistically this unintentionally weights data for the fit. Nowadays computers can easily handle nonlinear fits do you think the practice of linearization is appropriate now that we have the computing power? Justify your answer.
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