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
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
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:
Prentice-Hall.
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Last modified: February 14, 1997
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Examine the glossary.