The process of finding the equation that suits best for a set of data is called as exponential regression. Enter the x and y values in the exponential regression calculator given here to find the exponential fit.

The process of finding the equation that suits best for a set of data is called as exponential regression. Enter the x and y values in the exponential regression calculator given here to find the exponential fit.

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The exponential fit can be calculated using the exponential least square fittings method. The difference between the predicted and observed value is the residual error. The line that gives the smallest sum of squared errors is called as the regression line. The exponential least square fittings are one of the simplest ways to find the best fit line in a different set of points. Exponential regression is probably one of the simplest nonlinear regression models. The relative predictive power of an exponential model is denoted by R^2 . The value of R^2 varies between 0 and 1 . The more close the value is to 1 , the more accurate the model is. The ** exponential regression calculator** is a simple and quick way to find the regression of the exponent.