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The error of an estimate or prediction is its deviation from the true value, which may be unobservable (e.g., regression parameters), or observable (e.g., future realizations). Use the [error-message] tag to ask about software errors.
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Line of best fit for data with error in x and y
Each point $(x_n,y_n)$ in the dataset has an error estimate $\sigma_{x,n}, \sigma_{y,n}$ for both coordinates. … Alternatively, I've considered getting error estimates through bootstrapping or jackknifing, this eliminates -- to some extent -- the need to get an error estimate from my fit, but it still forces me to …