Linear Trend Extrapolation
Enter X value beyond the data range to extrapolate Y.
Complete coverage of mathematical extrapolation methods, statistical validation, and accuracy limits.
Linear extrapolation estimates values beyond the range of known data by extending a straight line through two data points. It calculates the slope and y-intercept from the known points and projects the value at the target point outside the measured range.
Extrapolation is inherently less reliable than interpolation because it assumes the linear trend continues beyond measured data. Reliability decreases as the extrapolation distance increases, and the calculator provides a reliability assessment based on how far the prediction extends past the data range.
Extrapolation is used to estimate equipment performance beyond tested conditions, project corrosion rates into the future, extend pressure-temperature ratings, and forecast production decline. It should always be validated with engineering judgment and additional data when possible.