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Supplement Fitting Quadratic Models to Data
Best Fit • We have learned from previous sections that the best fitting curve for any given data, is the curve that gives the smallest average error.
Where: • E = Error = Actual Given Value – Predicted Value from the model • SSE = Sum of the Square of the Errors • n = Number of Data Points