Exponential Regression Calculator
📈 Find the Best Exponential Curve Fit: Enter your data points (X, Y) and get the exponential equation, R² value (goodness of fit), and predictions. Perfect for population growth, decay, viral spread, and compound interest analysis.
Exponential Regression Formula
y = a · b^x
Where a is the initial value (y-intercept when x=0) and b is the growth (b>1) or decay (b<1) factor. Also expressible as y = a·e^(kx) where k = ln(b).
💡 Enter at least 3 data points. Y-values must be positive (> 0) for exponential regression to work.
| # | X Value | Y Value | |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 | |||
| 4 | |||
| 5 |
📌 Try Example Datasets:
Best Fit Equation
y = 2.00 · 2.00^x
or y = 2.00 · e^(0.693·x)
🌟
Excellent Fit
R² > 0.95 indicates excellent fit.
Coefficient (a)
2.00
Base (b)
2.00
R² (Goodness of Fit)
1.0000
Predicted Y Value
0