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The Least Squares Method for Determining the Best Fit Minimises

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Short Answer

The least squares method for determining the best fit minimises:  A. total variation in the dependent variable.  B.  the sum of squares for error. C.  the sum of squares for regression.  D. All of these choices are correct. \begin{array}{|l|l|}\hline\text { A. } & \text {total variation in the dependent variable. }\\\hline \text { B. } & \text { the sum of squares for error.} \\\hline \text { C. } &\text { the sum of squares for regression. }\\\hline \text { D. } &\text {All of these choices are correct. }\\\hline\end{array}


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