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	<title>Line fitting - Revision history</title>
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	<updated>2026-10-26T18:30:11Z</updated>
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		<title>imported&gt;W.andrea: Move maintenance tag to correct spot per MOS:ORDER.</title>
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		<summary type="html">&lt;p&gt;Move maintenance tag to correct spot per &lt;a href=&quot;/wiki143/index.php?title=MOS:ORDER&amp;amp;action=edit&amp;amp;redlink=1&quot; class=&quot;new&quot; title=&quot;MOS:ORDER (page does not exist)&quot;&gt;MOS:ORDER&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{broader|Curve fitting}}&lt;br /&gt;
{{redirect|Line of best fit|the music magazine|The Line of Best Fit}}&lt;br /&gt;
{{dabprimary|date=May 2019}}&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Line fitting&amp;#039;&amp;#039;&amp;#039; is the process of constructing a [[straight line]] that has the best fit to a series of data points.&lt;br /&gt;
&lt;br /&gt;
Several methods exist, considering:&lt;br /&gt;
&lt;br /&gt;
*Vertical distance: [[Simple linear regression]]&lt;br /&gt;
*Resistance to [[outlier (statistics)|outliers]]: [[Robust simple linear regression]]&lt;br /&gt;
*[[Perpendicular distance]]: [[Orthogonal regression]] (this is not scale-invariant i.e. changing the measurement units leads to a different line.)&lt;br /&gt;
*Weighted geometric distance: [[Deming regression]]&lt;br /&gt;
*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.&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
*[[Linear least squares]]&lt;br /&gt;
*[[Linear segmented regression]]&lt;br /&gt;
*[[Linear trend estimation]]&lt;br /&gt;
*[[Polynomial regression]]&lt;br /&gt;
*[[Regression dilution]]&lt;br /&gt;
&lt;br /&gt;
==Further reading==&lt;br /&gt;
*&amp;quot;Fitting lines&amp;quot;, chap.1 in LN. Chernov (2010), &amp;#039;&amp;#039;Circular and linear regression: Fitting circles and lines by least squares&amp;#039;&amp;#039;, Chapman &amp;amp; Hall/CRC, Monographs on Statistics and Applied Probability, Volume 117 (256 pp.). [http://people.cas.uab.edu/~mosya/cl/]&lt;br /&gt;
&lt;br /&gt;
{{Set index article}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Regression analysis]]&lt;br /&gt;
[[Category:Geometric algorithms]]&lt;/div&gt;</summary>
		<author><name>imported&gt;W.andrea</name></author>
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