Making an interpolated prediction
Making an interpolated prediction.
- Plot paired observations as separate crosses. Do not join the points.
- A best-fit line follows the overall trend, with points balanced around it.
- Predictions are estimates. Extrapolation is less secure, and correlation alone does not establish causation.
Example 1
Use the shown line of best fit to predict
Example 2
Use the shown line of best fit to predict
Your turn
Question 1 Go vertically to the line, then horizontally to the -axis. This is interpolation: within the observed -values. . This is an estimate, not a guaranteed value.
Use the shown line of best fit to predict
Check answer
Question 2 Go vertically to the line, then horizontally to the -axis. This is interpolation: within the observed -values. . This is an estimate, not a guaranteed value.
Use the shown line of best fit to predict
Check answer
Question 3 Go vertically to the line, then horizontally to the -axis. This is interpolation: within the observed -values. . This is an estimate, not a guaranteed value.
Use the shown line of best fit to predict
Check answer
Question 4 Go vertically to the line, then horizontally to the -axis. This is interpolation: within the observed -values. . This is an estimate, not a guaranteed value.
Use the shown line of best fit to predict
Check answer
Question 5 Go vertically to the line, then horizontally to the -axis. This is interpolation: within the observed -values. . This is an estimate, not a guaranteed value.
Use the shown line of best fit to predict
Check answer
Use the shown line of best fit to predict
Use the shown line of best fit to predict
Use the shown line of best fit to predict
Use the shown line of best fit to predict
Use the shown line of best fit to predict