| Name | Model | Purpose |
|---|---|---|
| Line | Y=b0+b1x | Fit a straight line. |
| Polynomial | Y=b0+b1x+b1x2.... | Fit a polynomial curve. Polynomials are useful when the function is smooth, a polynomial of a high enough degree estimates any smooth function. Polynomials are used as approximations and rarely represent a physical model. |
| Logarithmic | Y=b0+ b1Log(x) | Fit a logarithmic function curve. |
| Exponential | Y=a*b1x | Fit an exponential function curve. |
| Power | Y=a*xb1 | Fit a power function curve. |
From the Statistical Reference Guide for Analyse-it 6.24.0: https://analyse-it.com/docs/user-guide/fit-model/linear/simple-regression-models
We use essential cookies to run the site. With your permission we'd also like to use analytics and
advertising cookies to see how visitors find and use Analyse-it, so we can keep improving it and reach
more people like you.
You can change your mind at any time, see our
Privacy policy.