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Least Squares Approximation
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What is the primary objective of Least Squares Approximation?
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A
To minimize the sum of the squares of the errors between the data points and the fitted line or curve.
💡 Explanation:
Least Squares Approximation aims to find the line or curve that minimizes the sum of the squared differences between the observed data points and the values predicted by the fitted model.