A line of best fit predicts that when x equals 32, y will equal 34.215, but y
actually equals 30. What is the residual in this case?
A. -2.215
B. 4.215
C. 4.215
D. 2.215
Answer: Residual in this case is -4.215 Step-by-step explanation: A residual can be defined by Residual = Actual value - Predicted value We are given: Predicted value of y = 34.215 Actual value of y = 30 Putting values in the formula: Residual = Actual value - Predicted value Residual = 30 - 34.215 Residual = -4.215 So, residual in this case is -4.215 I hope this helped
