new command \endeterm for english terms that also make an entry into the german index - not working yet
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@@ -455,7 +455,7 @@ bivariate or multivariate data sets where we have pairs or tuples of
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data values (e.g. size and weight of elephants) we want to analyze
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dependencies between the variables.
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The \enterm{correlation coefficient}
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The \enterm[correlation!correlation coefficient]{correlation coefficient}
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\begin{equation}
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\label{correlationcoefficient}
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r_{x,y} = \frac{Cov(x,y)}{\sigma_x \sigma_y} = \frac{\langle
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@@ -465,7 +465,7 @@ The \enterm{correlation coefficient}
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\end{equation}
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quantifies linear relationships between two variables
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\matlabfun{corr()}. The correlation coefficient is the
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\determ{covariance} normalized by the standard deviations of the
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\enterm{covariance} normalized by the standard deviations of the
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single variables. Perfectly correlated variables result in a
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correlation coefficient of $+1$, anit-correlated or negatively
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correlated data in a correlation coefficient of $-1$ and un-correlated
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