Calculating error limits for rate constants derived from a fitted Arrhenius expression is problematic. In the past, de Levie has suggested that centering the data around the mean ln(k) and 1/T values before doing the regression gives a correct result. It is suggested here that a convenient and standardized approach (and thus, one likely to be used by students) is to calculate the confidence and prediction limits of the rate constant at a given temperature using the Regression Data Analysis tool of Excel and using some of Excel’s built-in functions.
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