Linear Formula:
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Interpolation is the process of estimating unknown values that fall between known data points, while extrapolation extends this estimation beyond the known data range. Linear interpolation assumes a straight-line relationship between data points.
The calculator uses the linear interpolation formula:
Where:
Explanation: This formula calculates the Y-value corresponding to a given X-value by assuming a linear relationship between two known data points.
Details: Linear interpolation is widely used in mathematics, engineering, computer graphics, finance, and scientific research to estimate values between known data points without knowing the exact function relationship.
Tips: Enter two known data points (X1,Y1) and (X2,Y2), then input the X value for which you want to estimate Y. The calculator will return the interpolated or extrapolated Y value.
Q1: What's the difference between interpolation and extrapolation?
A: Interpolation estimates values within the range of known data points, while extrapolation estimates values outside this range.
Q2: When is linear interpolation appropriate?
A: When the relationship between variables is known to be linear or approximately linear between the data points.
Q3: What are the limitations of linear interpolation?
A: It assumes a straight-line relationship, which may not accurately represent nonlinear relationships. Accuracy decreases with greater distance from known points.
Q4: Can I use this for extrapolation far beyond my data points?
A: While mathematically possible, extrapolation far beyond known data becomes increasingly unreliable as it assumes the linear relationship continues indefinitely.
Q5: What if my X1 and X2 values are the same?
A: The calculation is undefined when X1 = X2 (division by zero). You need distinct X values for linear interpolation.