for which quadrate formula error is least
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Step-by-step explanation:
The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems (sets of equations in which there are more equations than unknowns) by minimizing the sum of the squares of the residuals made in the results of every single equation.
The result of fitting a set of data points with a quadratic function
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