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Squared errors are used when determining the best prediction formula to give more weight to smaller errors. because when summed, positive and negative errors cancel

Squared errors are used when determining the best prediction formula to give more weight to smaller errors. because when summed, positive and negative errors cancel each other out. to increase the regression constant. because correlation and prediction are related concepts

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