What does it mean to say that a data point has a residual of -1? A. The point lies 1 unit above the regression line.
B. The point lies directly on the regression line.
C. The point lies 1 unit below the regression line.
O D. The predicted value for that point is -1.

C. The point lies 1 unit below the regression line.

Step-by-step explanation:

A residual is calculated by doing the true value minus the predicted value. For instance, if a point's true value is 5, but the predicted value is 3, the residual of the point will be 5 - 3 = 2.

The regression line is the line of predicted values. So, if a data point has a residual of -1, that means that the predicted value overpredicted the point's value. So, the point will lie C. 1 unit below the regression line.

Hope this helps!