Question

A line of best fit predicts that when x equals 25, y will equal 27.745, but y actually equals 29. What is the residual in this case?

A. 1.255
B. -1.255
C. -2.745
D. 2.745

Answer 1

@mathmale

Answer 2

The "residual" in this case is the difference between the predicted and the actual (measured) y-value. Note that the order in which you do this subtraction makes a difference. I had to review "residue" through an Internet search to re-learn the definition of "residue;" " the residual of an observed value is the difference between the observed value and the estimated value of the quantity of interest."

Source: https://en.wikipedia.org/wiki/Errors_and_residuals