Least squares regression finds the estimated values for the parameters in a regression model to minimize Why
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Why is it necessary to square the estimation errors? What problem might be encountered if we attempt to minimize just the sum of the estimationerrors?
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- Y)2: ESS = i (Y;
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The solution would be unbounded For virtually any regression problem the sum of th...View the full answer
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