Line fitting is the process of constructing a straight line that has the best fit to a series of data points.
Several methods exist, considering:
Vertical distance: Simple linear regression
Resistance to outliers: Robust simple linear regression
Orthogonal distance: Orthogonal regression
Weighted geometric distance: Deming regression
Scale invariance: Major axis regression
See also
Linear least squares
Linear segmented regression
Linear trend estimation
Polynomial regression
Regression dilution
Further reading
"Fitting lines", chap.1 in LN. Chernov (2010), Circular and linear regression: Fitting circles and lines by least squares, Chapman & Hall/CRC, Monographs on Statistics and Applied Probability, Volume 117 (256 pp.). [1]
Disambiguation icon This article includes a list of related items that share the same name (or similar names).
Undergraduate Texts in Mathematics
Graduate Studies in Mathematics
Hellenica World - Scientific Library
Retrieved from "http://en.wikipedia.org/"
All text is available under the terms of the GNU Free Documentation License
