Lesson 228 of 1524
3.3 Residuals
A residual is the difference between the actual y -value for a point and the expected y -value for the point on the linear model with the same associated x -value
Practice this chapterA residual is the difference between the actual y -value for a point and the expected y -value for the point on the linear model with the same associated x -value A plot of the residuals for data that are fit well by a linear model shows residuals that are close to the x -axis and do not show a noticeable pattern
Mentally calculate how close the estimate is to the actual value using the difference
residual — the difference between the actual y -value for a point and the expected y -value for the point on the linear model with the same associated x -value.
Be able to plot and calculate residuals for a data set and use the information to judge whether a linear model is a good fit.
Worked example
What does “residual” mean in 3.3 Residuals?
- 1Use the wording this chapter gives for residual.
- 2The book says: the difference between the actual y -value for a point and the expected y -value for the point on the linear model with the same associated x -value.
- 3Keep the answer tied to this term.
Result: the difference between the actual y -value for a point and the expected y -value for the point on the linear model with the same associated x -value
Why. That is the meaning this chapter gives for residual.
Answer with the meaning this chapter gives. A nearby idea from the same book is a different term.
Practice margin
This chapter
A fresh set from this chapter only. Choose 10 or 20. Multiple choice and fill-in, with no repeat inside the set.