The best-fitting line is the one that has the smallest total squared error,so the resulting line is commonly called the least-squared-error solution.

Name: The best-fitting line is the one that has the smallest total squared error,so the resulting line is commonly called the least-squared-error solution.
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Quizplus · Accepted Answer

This is because the least-squared-error solution minimizes the sum of the squared distances between the data points and the line.

The Best-Fitting Line Is the One That Has the Smallest