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.
Learn more about the limitations of extrapolation:
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