Question

A line of best fit predicts that when x equals 29, y will equal 27.745, but yactually equals 25. What is the residual in this case?A.-2.745B. 1.255C. 2.745D. -1.255

Answer 1

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

`Residual\text{ = Measured value of y - predicted value of y}`

Thus, we have

`\begin{gathered} Residual\text{ = 25-27.745} \\ =-2.745 \end{gathered}`

The correct option is