Enter two known data points — X1, Y1 and X2, Y2 — plus a target X value to estimate with the Extrapolation Calculator. Using linear extrapolation, it calculates the predicted Y value beyond your known data range, along with the slope of the line. Perfect for engineers, scientists, and analysts who need to project values outside existing measurements.
Predicted Y Value
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Slope (m)
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Y-Intercept (b)
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Estimation Type
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Known X Range Min
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Known X Range Max
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Linear extrapolation is a method of estimating a new data point that lies outside the range of two known data points. It works by extending the straight line defined by two known points (x1, y1) and (x2, y2) beyond their range to predict the value at a new x. Unlike interpolation, which estimates within the known range, extrapolation projects beyond it.
The formula is: y = y1 + m × (x − x1), where the slope m = (y2 − y1) / (x2 − x1). First you calculate the slope between the two known points, then use it to find the y value at any target x along that line.
Interpolation estimates a value between two known data points, while extrapolation estimates a value outside the range of the known data. Both use the same linear formula, but extrapolation carries more uncertainty because the trend may not continue beyond the known range.
Enter the coordinates of your two known data points (X1, Y1) and (X2, Y2), then enter the target X value you want to estimate. The calculator computes the slope, y-intercept, and the predicted Y value using the linear extrapolation formula automatically.
Yes — the underlying linear formula works for both. If your target X value falls between X1 and X2, the result is technically an interpolated value. If it falls outside that range, it is an extrapolated value. The calculator detects and labels this for you.
Not necessarily. Linear extrapolation assumes the relationship between x and y continues as a straight line beyond the known data. In reality, many real-world phenomena are non-linear, so the further your target X is from the known range, the less reliable the prediction. Always interpret extrapolated results with caution.
If X1 and X2 are the same value, the slope becomes undefined (division by zero). A valid calculation requires the two known x-values to be different. The calculator will alert you if this condition is detected.
Linear extrapolation is widely used in engineering, physics, economics, performance testing, and data analysis. Common applications include predicting future sales trends, estimating material properties outside a tested range, projecting server load at untested traffic levels, and forecasting temperatures or pressures beyond measured data points.