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it is called best fit because it minimizes the sum of square of the distances of points from line. That is to say, if you add up the squares of the distance of the different data points from the line, it will have the smallest value and it is in our interest to have the distance of the point from the line be as small as possible given by ziar khan

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16y ago
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Q: Why the Least Square line is called Best Fit. In which case least square line passes through the origin?
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