The overall model is highly significant, with an F-value of 104.12 and a p -value of less than 0.0001, indicating that the model effectively explains a significant portion of the variability in MTL.
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FSW Optimization: Prediction Using Polynomial Regression and Optimization with Hill-Climbing Method.
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