The difference between the observed value of the dependent variable and the predicted value of the dependent variable in a regression equation is called the:
A)error.
B)beta weight.
C)slope.
D)Y-intercept.
E)variance.

Question

Quizplus · Accepted Answer

The observed value of the dependent variable may not always be the same as the predicted value of the dependent variable in a regression equation due to random factors affecting the relationship between the independent and dependent variables. The difference between the observed and predicted values is called the error or residual.

The Difference Between the Observed Value of the Dependent Variable