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

Exponential growth curves start by growing slowly and then begin to grow very quickly. Exponential decay curves start by decreasing slowly and then begin to decay very quickly.

## When To Use Exponential Regression

Exponential regression is best used when the input data can be modeled by an exponential function. The input data might look like an exponential growth or decay curve.

Linear regression is better suited if your data looks like a straight line. Polynomial regression is a good tool when your data does not look linear but is not changing as fast as an exponential function.