Find a polynomial line of best fit with this polynomial regression calculator

Accepts csv, parquet, arrow, json and tsv

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

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Polynomial Regression models the relationship between the input variables with an nth-degree polynomial model. This means it can fit non linear relationships between the input variables.

Polynomial regression is a type of linear regression analysis. Cubic regression is a special case of polynomial regression where a cubic function is fit. Quadratic regression is a special case of polynomial regression where a second-order function is fit.

Polynomial regression is a useful tool when the relationship between the input data can be modeled accurately with a polynomial function. If the relationship can be better modeled with a straight line, then the linear regression calculator would be a more useful tool.

If it looks like there is an exponential relationship between the input data then the exponential regression calculator is a better tool to use.

Polynomial regression is a useful tool when the relationship between the input data can be modeled accurately with a polynomial function. If it looks like there is an exponential relationship between the input data then the exponential regression calculator is a better tool to use.