When we predict values that fall within the range of data points taken it is called interpolation. ... When we predict values for points outside the range of data taken it is called extrapolation.

What is the basic difference between extrapolation and interpolation?

Interpolation is used to predict values that exist within a data set, and extrapolation is used to predict values that fall outside of a data set and use known values to predict unknown values. Often, interpolation is more reliable than extrapolation, but both types of prediction can be valuable for different purposes.

What is an example of interpolation?

Interpolation is the process of estimating unknown values that fall between known values. In this example, a straight line passes through two points of known value. ... The interpolated value of the middle point could be 9.5.