A line of best fit predicts that when x equals 30, y will equal 34.215, but y actually equals 32. What is the residual in this case?
A. -2.215
B. 2.215
C. 4.215
D. -4.215

• A residual is the difference between the actual value and the predicted value in a regression model. It represents the vertical distance from the actual point to the point on the regression line.

[tex]\text{Residual=Actual value of y -predicted value of y}\\\\\Rightarrow\text{Residual}=32-34.215\\\\\Rightarrow\text{Residual}=-2.215[/tex]

Hence, the residual in this case = -2.215

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A line of best fit predicts that when x equals 30, y will equal 34.215, but y actually equals 32. What is the residual in this case? A. -2.215 B. 2.215 C. 4.215 D. -4.215

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A line of best fit predicts that when x equals 30, y will equal 34.215, but y actually equals 32. What is the residual in this case?
A. -2.215
B. 2.215
C. 4.215
D. -4.215