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Difference between revisions of "Regression surface"

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''regression hypersurface''
 
''regression hypersurface''
  
The general geometric representation of a [[Regression|regression]] equation. If one is given random variables <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/r/r080/r080660/r0806601.png" /> and
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The general geometric representation of a [[Regression|regression]] equation. If one is given random variables
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and
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/r/r080/r080660/r0806602.png" /></td> </tr></table>
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$$
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f ( x _ {2} \dots x _ {n} )  = \
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{\mathsf E} ( X _ {1} \mid  X _ {2} = x _ {2} \dots X _ {n} = x _ {n} )
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$$
  
is the regression of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/r/r080/r080660/r0806603.png" /> with respect to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/r/r080/r080660/r0806604.png" />, then the equation <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/r/r080/r080660/r0806605.png" /> describes the corresponding regression hypersurface in an <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/r/r080/r080660/r0806606.png" />-dimensional space. When <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/r/r080/r080660/r0806607.png" />, a regression hypersurface is usually called a regression curve. These terms are sometimes used to emphasize that the corresponding regression equations are not linear. In the linear case, a regression hypersurface or curve is called a regression plane or line, respectively. See [[Regression|Regression]].
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is the regression of   X _ {1}
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with respect to   X _ {2} \dots X _ {n} ,  
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then the equation $  y = f ( x _ {2} \dots x _ {n} ) $
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describes the corresponding regression hypersurface in an   n -
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dimensional space. When $  n = 2 $,  
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a regression hypersurface is usually called a regression curve. These terms are sometimes used to emphasize that the corresponding regression equations are not linear. In the linear case, a regression hypersurface or curve is called a regression plane or line, respectively. See [[Regression|Regression]].

Latest revision as of 08:10, 6 June 2020


regression hypersurface

The general geometric representation of a regression equation. If one is given random variables X _ {1} \dots X _ {n} and

f ( x _ {2} \dots x _ {n} ) = \ {\mathsf E} ( X _ {1} \mid X _ {2} = x _ {2} \dots X _ {n} = x _ {n} )

is the regression of X _ {1} with respect to X _ {2} \dots X _ {n} , then the equation y = f ( x _ {2} \dots x _ {n} ) describes the corresponding regression hypersurface in an n - dimensional space. When n = 2 , a regression hypersurface is usually called a regression curve. These terms are sometimes used to emphasize that the corresponding regression equations are not linear. In the linear case, a regression hypersurface or curve is called a regression plane or line, respectively. See Regression.

How to Cite This Entry:
Regression surface. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Regression_surface&oldid=17160
This article was adapted from an original article by A.V. Prokhorov (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article