---
title: Curve Fitting
description: "![](https://www.forecastpro.com/wp-content/uploads/2024/05/BJ-Icon-5-1024x104.png) Forecast Pro offers the following curve fitting approaches: Best-fit line, Quadratic, Exponential and Growth. Each of these methods can be selected from the *Curve fitting* drop-down on the **More** icon drop-down or from *Forecasting > Curve Fit* on the Navigator’s context menu. Select *Auto* from the *Curve…"
url: "https://www.forecastpro.com/documentation/forecast-pro-trac/forecasting-methodologies/curve-fitting/"
updated: "2024-12-17"
category: Reference / Customizing Your Forecasts / Forecasting Methodologies
---

# Curve Fitting

![](https://www.forecastpro.com/wp-content/uploads/2024/05/BJ-Icon-5-1024x104.png)

Forecast Pro offers the following curve fitting approaches: Best-fit line, Quadratic, Exponential and Growth. Each of these methods can be selected from the *Curve fitting* drop-down on the **More** icon drop-down or from *Forecasting > Curve Fit* on the Navigator’s context menu.

Select *Auto* from the *Curve fitting* drop-down on the **More** icon drop-down or select *Forecasting > Curve Fit > Auto* on the Navigator’s context menu to use the curve fitting routine that best fits the historic data.

The modifiers for moving average models are:

- **\*CFIT***: Use the curve fitting routine that best fits the historic data.
- **\*CFIT=LINE***: Fit a best-fit straight line to the data set.
- **\*CFIT=QUAD***: Fit a quadratic curve to the data set.
- **\*CFIT=EXPO***: Fit an exponential curve to the data set.
- **\*CFIT=GROW***: Fit a growth curve (S-curve) to the data set.