With process applications, data collected is usually always Discrete and the meanings of the data are not always well known. To estimate the outcomes a more analytically controllable function that fits the field data is required and this process of finding the coefficients for the fitting function is called Curve Fitting. The process for estimating the outcomes in between sampled data points is called Interpolation. The process of estimating the outcomes beyond the range covered by the existing data is called Extrapolation.