Is Extrapolation Always Appropriate?

Extrapolation is using the regression line to make predictions beyond the range of x-values in the data. Extrapolation is always appropriate to use. Extrapolation is using the regression line to make predictions beyond the range of x-values in the data. Extrapolation should not be used.

What are the limitations of extrapolation?

Typically, the quality of a particular method of extrapolation is limited by the assumptions about the function made by the method. If the method assumes the data are smooth, then a non-smooth function will be poorly extrapolated.

What is considered an extrapolation?

Extrapolation is an estimation of a value based on extending a known sequence of values or facts beyond the area that is certainly known. In a general sense, to extrapolate is to infer something that is not explicitly stated from existing information.