Solution:
Given that a line of best fit predicts that when x equals 29, y will equal 27.745, but y
actually equals 25. This implies that
The residual for each observation is the difference between predicted values of y (dependent variable) and observed/measured values of y.
In other words, we have
[tex]Residual\text{ = Measured value of y - predicted value of y}[/tex]
Thus, we have
[tex]\begin{gathered} Residual\text{ = 25-27.745} \\ =-2.745 \end{gathered}[/tex]
The correct option is
