Residual sum of squares, $ S S E=\sum(Y-\bar{Y})^{2} $.

Name: Residual sum of squares, $ S S E=\sum(Y-\bar{Y})^{2} $.
Brand: Quizplus
Rating: 4.8 (40 reviews)

Question

Quizplus · Accepted Answer

The correct formula for the residual sum of squares (SSE) is $ SSE = \sum (Y_i - \hat{Y}_i)^2 $, where $Y_i$ is the actual value and $\hat{Y}_i$ is the predicted value. $ \sum(Y-\bar{Y})^{2} $ is the formula for the total sum of squares (SST), which measures the total variation in the observed data.

Residual Sum of Squares SSE=∑(Y−Yˉ)2 S S E=\sum(Y-\bar{Y})^{2} SSE=∑(Y−Yˉ)2

Residual Sum of Squares $S S E=\sum(Y-\bar{Y})^{2}$