Answer:
Interpolation gives more accurate data or points compared to extrapolation.
Interpolation can be a little easier than extrapolation.
Interpolation does not require one to extend the already existing data points, where extrapolation requires elaboration of the pattern, curve, or line.
Extrapolation:
This is a statistical method used to predict unknown values for points outside the range of the recorded data. It is used to extend a known sequence of values beyond the sampled area
Extrapolation: with Extrapolation, we can be less confident with the unknown values derived using this method. The method includes values from outside the sampled area, which makes the predictions diverge away from the true values. In curve fitting, this method is not preferred.
Extrapolation:
the ability to retrieve negative answers is one characteristic that makes it unique for interpolation. This statistical method allows one to extend the values in the range either forward or backward. This technique of extending values is responsible for attaining the negative values.
Step-by-step explanation: