Fit a aeᵇˣ line of best fit with this free online exponential regression calculator

Accepts csv, parquet, arrow, json and tsv

- Upload your dataset
- Select the independent (X) and dependent (Y) variables
- The regression analysis will be performed
- Download, share or embed the results

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Exponential regression is used to find an exponential curve that best fits the input data.

Exponential regression is best used when the input data can be modeled by an exponential function. It has a sharp "hockey stick" shape. The input data might look like an exponential growth or decay curve.

This exponential regression calculator is not always the best tool for the job. Sometimes one of the other related calculators might be more useful.

The linear regression calculator is better suited if your data looks like a straight line or polynomial.

The linear, quadratic, and polynomial regression calculators all use a linear model and least squares method to find a best fit line for the input data points. In this case, the linear model refers to the regression equations and not the shape of the best fit line.

The exponential regression calculator fits the following exponential model to the input data points.

$y = ae^{bx}$

Where $a$ and $b$ are regression coefficients.

The exponential fit is characterized by the parameters a and b. With a and b the regression line (best fit line) can be drawn.

If b is negative then the model has fit an exponential decay curve. If b is positive then the model has fit an exponential growth curve.

This exponential regression calculator can fit both exponential growth and exponential decay curves.