Curve Fit Online Tool with Polynomial Regression

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How to use Curve Fit Online Tool?

This is an online tool for curve fitting.
Usage:
1. Type X and Y values. You can add rows to the table by using the button below the table.
2. Choose fit method using the dropdown menu.
3. Results are generated automatically.

You can:
- export the report to PDF using "GENERATE PDF" button.
- export the report to TXT using "EXPORT TXT" button.
- manipulate diagram (for example zoom in or out)
- save diagram as PNG.

Contact: contact@softinery.com



- [Polynomial Fit Online Documentation](#polynomial-fit-online-documentation) - [Polynomial Fit](#polynomial-fit)

Polynomial Fit Online Documentation

Polynomial Fit

The relationship between the independent variable x and the dependent variable y is in the form of an nth degree polynomial of x.

Polynomial regression can be categorized as follows for n from one to three:

  1. Linear – if degree is 1. The equation of the fit curve is:

    y=a+bxy = a + b \cdot x

  2. Quadratic – if degree is 2. The equation of the fit curve is:

    y=a2x2+a1x+a0y = a_2 \cdot x^2 + a_1 \cdot x + a_0

  3. Cubic – if degree is 3. The equation of the fit curve is:

    y=a3x3+a2x2+a1x+a0y = a_3 \cdot x^3 + a_2 \cdot x^2 + a_1 \cdot x + a_0

...and so on. The order of the polynomial can generally be n.

Polynomial fit image

Fig. 1. Illustration of 4th order polynomial fit