Elance Exams Answers PDF file

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In a simple linear regression analysis, why do we call the best line the "least squares" regression line? 1. The line minimizes the sum of the squared errors in the data. 2. The line maximizes the squared error in the data. 3. The model uses squared predictor variables.

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