Grade 8 · lesson 4 of 4

Notice a Prediction Outside the Data Range

Interpolation predicts within measured input bounds.

About 20 minutes, plus any extended practice

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Supplied materials

  • Paper or a browser scratch area; a calculator is optional unless rounding is requested.
  • Supplied teaching case: A model was fitted to measurements at x=2 through x=10. Which proposed prediction is extrapolation? Candidate answers: (A) Predicting at x=14 (B) Predicting at x=2 (C) Predicting at x=3 (D) Predicting at x=8.
  • Independent check inputs: A model was fitted to measurements at x=2 through x=11. Which proposed prediction is extrapolation? Candidate answers: (A) Predicting at x=15 (B) Predicting at x=2 (C) Predicting at x=3 (D) Predicting at x=9.

Learn the idea

Paired measurements describe how two variables vary together. A trend line summarizes association, predicted outputs can be compared with observations using residuals, and the observed input range limits how confidently that trend can be extended. Interpolation predicts within measured input bounds. Extrapolation predicts outside those bounds, where a fitted pattern may fail because the data did not constrain that part of the model.

Here is the method on the supplied teaching case. 14 lies outside the measured interval 2 through 10. Extending a trend outside its data range is extrapolation and requires more caution than interpolation.

An equation can produce an extrapolated value without supporting its reliability. Mark the observed interval and identify outside inputs explicitly; additional data or contextual evidence would be needed to strengthen an extended prediction.

  1. Write or sketch the supplied teaching case, labeling its quantities and restrictions.
  2. Apply the method shown in the worked solution, keeping each intermediate equality or justified inference.
  3. Solve the independent check with its changed inputs before revealing feedback.
  4. Complete the three practice cases; explain which mathematical rule rules out one distractor in each case.
Worked example

See the method in action

Teaching case: A model was fitted to measurements at x=2 through x=10. Which proposed prediction is extrapolation? Candidate answers: (A) Predicting at x=14 (B) Predicting at x=2 (C) Predicting at x=3 (D) Predicting at x=8. Solution: 14 lies outside the measured interval 2 through 10. Extending a trend outside its data range is extrapolation and requires more caution than interpolation. The final answer is Predicting at x=14. An equation can produce an extrapolated value without supporting its reliability. Mark the observed interval and identify outside inputs explicitly; additional data or contextual evidence would be needed to strengthen an extended prediction.

Your turn

Check your reasoning

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Helpful tips
  • Interpolation predicts within measured input bounds.
  • An equation can produce an extrapolated value without supporting its reliability.
A model was fitted to measurements at x=2 through x=11. Which proposed prediction is extrapolation?

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See the answer and explanation

Predicting at x=15

15 lies outside the measured interval 2 through 11. Extending a trend outside its data range is extrapolation and requires more caution than interpolation.

Take it further

Changed-input task: A model was fitted to measurements at x=2 through x=17. Which proposed prediction is extrapolation? Candidate answers: (A) Predicting at x=15 (B) Predicting at x=2 (C) Predicting at x=21 (D) Predicting at x=3. Show the mathematical reason, not only the selected answer. Expected result: Predicting at x=21. 21 lies outside the measured interval 2 through 17. Extending a trend outside its data range is extrapolation and requires more caution than interpolation.

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More practice: try new cases

Choose an answer for each problem. Explain your method on paper, then use the feedback to decide what to revisit.

More practice: try new cases
1. A model was fitted to measurements at x=2 through x=12. Which proposed prediction is extrapolation?
Need a hint?
  • Interpolation predicts within measured input bounds.
  • An equation can produce an extrapolated value without supporting its reliability.
2. A model was fitted to measurements at x=2 through x=13. Which proposed prediction is extrapolation?
Need a hint?
  • Interpolation predicts within measured input bounds.
  • An equation can produce an extrapolated value without supporting its reliability.
3. A model was fitted to measurements at x=2 through x=14. Which proposed prediction is extrapolation?
Need a hint?
  • Interpolation predicts within measured input bounds.
  • An equation can produce an extrapolated value without supporting its reliability.

Your choices are temporary. Feedback appears after you check all the answers.

Nothing here is saved to an account or sent to a teacher. Keep your own notes or download them before leaving. The score describes these questions; it does not certify subject mastery.

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These LifeStarter passages, scenarios and exercises are authored for this Academy with AI assistance and review. External resources keep their publishers’ terms. A grade label suggests a starting level; it does not establish alignment with your school’s complete requirements.