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Sagot :
We can only make valid predictions for y values within the bounds of the minimum and maximum of x values for a dataset. Attempting to predict outside this range is called extrapolation.
Since, by extrapolating beyond the range of existing data, we are making predictions based on limited assumptions or knowledge. Therefore, predictions made by extrapolation are often considered less reliable and valid than predictions made with data points within the range of existing data.
What are the limitations of extrapolation?
- Extrapolation relies on limited data points and can lead to inaccurate predictions.
- It assumes that the data points that are available are representative of the entire population.
- It assumes that the pattern or trend that is extrapolated will remain constant over time.
- Extrapolated predictions cannot take into account any changes in the environment or other factors that may affect the outcome.
- Extrapolation can lead to over-simplified or biased predictions.
Learn more about the limitations of extrapolation:
https://brainly.com/question/11106137
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