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In fit, the term "error" is used in two different contexts, data error estimates and parameter error estimates.
Data error estimates are used to calculate the relative weight of each data point when determining the weighted sum of squared residuals, WSSR or chisquare. They can affect the parameter estimates, since they determine how much influence the deviation of each data point from the fitted function has on the final values. Some of the fit output information, including the parameter error estimates, is more meaningful if accurate data error estimates have been provided.
The statistical overview describes some of the fit output and gives some background for the 'practical guidelines'.
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