In mathematical modeling and data analysis, fit refers to how well a model represents the data it is intended to describe. A good fit means that the model's predictions closely match the actual observed data points, minimizing discrepancies between the two. Achieving a good fit is essential for making accurate predictions and understanding relationships within the data.
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