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What is the primary goal of curve fitting when the data exhibits a significant degree of error or noise?
What distinguishes the two general approaches for curve fitting?
When should the strategy of deriving a single curve be applied in curve fitting?
Curve fitting is the only approach used for dealing with data that exhibits a significant degree of error or noise.
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The primary goal of curve fitting when the data exhibits a significant degree of error or noise is to derive a single curve that represents the general trend of the data.
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Curve fitting is a method used to represent the general trend of the data when there is a significant degree of error or noise.
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