diff --git a/regression/lecture/figures/lin_regress.pdf b/regression/lecture/figures/lin_regress.pdf deleted file mode 100644 index f34ba49..0000000 Binary files a/regression/lecture/figures/lin_regress.pdf and /dev/null differ diff --git a/regression/lecture/figures/lin_regress_intercept.pdf b/regression/lecture/figures/lin_regress_intercept.pdf deleted file mode 100644 index ace13cc..0000000 Binary files a/regression/lecture/figures/lin_regress_intercept.pdf and /dev/null differ diff --git a/regression/lecture/figures/lin_regress_slope.pdf b/regression/lecture/figures/lin_regress_slope.pdf deleted file mode 100644 index f4f08c0..0000000 Binary files a/regression/lecture/figures/lin_regress_slope.pdf and /dev/null differ diff --git a/regression/lecture/regression.tex b/regression/lecture/regression.tex index ba7faf5..1ef628e 100644 --- a/regression/lecture/regression.tex +++ b/regression/lecture/regression.tex @@ -12,7 +12,7 @@ ein Optimierungsproblem, der besser als Kurvenfit bekannt ist \begin{figure}[tp] \includegraphics[width=0.32\columnwidth]{lin_regress}\hfill \includegraphics[width=0.32\columnwidth]{lin_regress_slope}\hfill - \includegraphics[width=0.32\columnwidth]{lin_regress_abscissa} + \includegraphics[width=0.32\columnwidth]{lin_regress_intercept} \titlecaption{.}{F\"ur eine Reihe von Eingangswerten $x$, z.B. Stimulusintensit\"aten, wurden die Antworten $y$ eines Systems gemessen (links). Der postulierte lineare Zusammenhang hat