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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
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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