The least squares method minimizes which of the following?
A)SSR
B)SSE
C)SST
D)All of the above

Question

Quizplus · Accepted Answer

The least squares method minimizes the Sum of Squared Errors (SSE), which is defined as the sum of the squared differences between each observed data point and its corresponding predicted value. Minimizing SSE ensures that the predicted values are as close to the observed values as possible. The other options, SSR (Sum of Squared Residuals) and SST (Total Sum of Squares), are related to SSE, but they are not minimized by the least squares method. Therefore, B is the best choice as an answer.

The Least Squares Method Minimizes Which of the Following