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

Question

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

Quizplus · Accepted Answer

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

The Least Squares Method for Determining the Best Fit Minimises