The difference between the observed value of Y and the value predicted by the regression equation is called the ________.
A) correlation coefficient
B) residual
C) standard error
D) random error
E) total error

Question

Quizplus · Accepted Answer

The residual is the difference between the actual value of the Y variable and the predicted value of Y from the regression equation. The correlation coefficient measures the strength of the relationship between two variables. The standard error measures the variability of the sample mean from the population mean. Random error and total error are not defined in the context of regression analysis.

The Difference Between the Observed Value of Y and the Value