home/regression-approach.md

@@ -3,6 +3,7 @@ title: regression approach - powerlaw
 ---
 
 
+
 ## 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).
@@ -21,7 +22,7 @@ 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}
+X_{\textrm{log}} = \textrm{log10}\left(X\right), \quad Y_{\textrm{log}} = \textrm{log10}\left(Y\right) 
 ```