home/regression-approach.md

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 title: regression approach - powerlaw
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 ## Dependency
 
 It is assumed the data can be described by a power law, expressed either as Y or X dependent (referring to the second and first axis on a fatigue curve).
@@ -19,7 +20,7 @@ Where $m$ and $C$ are the power slope- and adjustment coefficient, respectively.
 In using the power-law as a prediction function, the model can be fitted in logspace as follows.
 
 ```math
-X_{\textrm{log}} = \textrm{log10}\left{X}, \hspace{1mm] Y_{\textrm{log}} = \textrm{log10}\left{Y} 
+X_{\textrm{log}} = \textrm{log10}\left{X}, Y_{\textrm{log}} = \textrm{log10}\left{Y} 
 ```