For a regression model,the error sum of squares,denoted by SSE,is equal to the sum of the:
A)errors
B)squares of errors
C)squares of y values
D)squares of the difference between x and y values

Question

Quizplus · Accepted Answer

The error sum of squares (SSE) is calculated as the sum of the squares of the differences between the observed values and the predicted values, which are the errors.

For a Regression Model,the Error Sum of Squares,denoted by SSE,is