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This document discusses using Excel to perform a polynomial fit of experimental x-y data to a quadratic relationship. The data is fit using the least squares method, resulting in the regression equation y(Fit) = 2.232x^2 + 1.513x + 2.181. The goodness of fit is characterized by an index of correlation of 0.999 and a standard error of 1.026, indicating a very good fit. A plot of the data and fit visually confirms the goodness of fit.

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