Following the suggestion of Benoit to enable maths rendering

https://gitlab.com/gitlab-org/gitlab-ce/blob/master/doc/user/markdown.md#math

README.org

@@ -8,10 +8,10 @@ at [[https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_a
 
 On the fourth page of this article, they indicate that the maximum
 likelihood estimates of the logistic regression using only temperature
-are: $\hat{\alpha}=5.085$ and $\hat{\beta}=-0.1156$ and their
-asymptotic standard errors are $s_{\hat{\alpha}}=3.052$ and
-$s_{\hat{\beta}}=0.047$. The Goodness of fit indicated for this model
-was $G^{2}=18.086$ with 21 degrees of freedom. Our goal is to reproduce
+are: $`\hat{\alpha}=5.085`$ and $`\hat{\beta}=-0.1156`$ and their
+asymptotic standard errors are $`s_{\hat{\alpha}}=3.052`$ and
+$s_{\hat{\beta}}=0.047`$. The Goodness of fit indicated for this model
+was $`G^{2}=18.086`$ with 21 degrees of freedom. Our goal is to reproduce
 the computation behind these values and the Figure 4 of this article,
 possibly in a nicer looking way.