PROPHET StatGuide: Polynomial Regression
Polynomial regression fits
a response variable as a polynomial in a predictor variable
by the method of least squares.
The full version of StatGuide for polynomial regression will be available in a
future release. In the meantime, to properly analyze and interpret
results of polynomial regression, you should be familiar with the following terms and
If you are not familiar with these terms and concepts, you are advised to
consult with a statistician. Failure to understand and properly apply
polynomial 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.
- Sokal, Robert R. and Rohlf, F. James. 1995. Biometry. 3rd. ed.
New York: W. H. Freeman and Co.
- Zar, Jerrold H. 1996. Biostatistical Analysis. 3rd ed. Upper Saddle River, NJ:
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Last modified: February 14, 1997
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