The difference between a predicted and an obtained value of Y when using a linear regression line is the.
A)residual
B)statistical residue
C)error of measurement
D)error of estimate

Question

Quizplus · Accepted Answer

The difference between a predicted and an obtained value of Y is called a residual. This is because the regression line provides a prediction of the value of Y, but there will always be variation or residual error in the data that is not captured by the regression line. The residual is the difference between the actual value of Y and the predicted value of Y from the regression line, and it represents the amount of unexplained variation in the data.

The Difference Between a Predicted and an Obtained Value of Y