# PROPHET StatGuide: Non-linear (Univariate) Regression

##
Non-linear univariate regression fits
a specified function in X to X-Y data by the method of least squares.

The full version of StatGuide for *non-linear (univariate) regression* will be available in a
future release. In the meantime, to properly analyze and interpret
results of *non-linear (univariate) regression*, you should be familiar with the following terms and
concepts:
If you are not familiar with these terms and concepts, you are advised to
consult with a statistician. Failure to understand and properly apply *
non-linear univariate regression* may result in drawing erroneous conclusions from your data.
Additionally, you may want to consult the following references:
- Draper, N. R. and Smith, H. 1981.
*Applied Regression Analysis.* 2nd ed. New York: John Wiley & Sons.
- Neter, J., Wasserman, W., and Kutner, M.H. 1990.
*Applied
Linear Statistical Models. * 3rd ed. Homewood, IL: Irwin.
- Scales, L. E. 1985.
*Introduction to Non-linear Optimization. *
New York: Springer-Verlag.
- Sokal, Robert R. and Rohlf, F. James. 1995.
*Biometry.* 3rd. ed.
New York: W. H. Freeman and Co.

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##### Last modified: February 14, 1997

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