• Source: Line fitting

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
Perpendicular distance: Orthogonal regression (this is not scale-invariant i.e. changing the measurement units leads to a different line.)
Weighted geometric distance: Deming regression
Scale invariant approach: Major axis regression This allows for measurement error in both variables, and gives an equivalent equation if the measurement units are altered.




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]

Kata Kunci Pencarian:

• Perang Dunia I
• Sistem hidrolik pesawat terbang
• 2M1207b
• Kim Sun-young (pemeran, lahir 1976)
• The Conjuring: The Devil Made Me Do It
• Kapal tempur kelas Nelson
• Peradaban Maya
• Radiasi benda-hitam
• Program Fulbright
• Karim Benzema
• Line fitting
• Curve fitting
• Fitting In
• Air-line fitting
• Banjo fitting
• Simple linear regression
• Linear least squares
• Curve-fitting compaction
• Linear regression
• Flare fitting