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diff --git a/book/module4/linear_regression.tex b/book/module4/linear_regression.tex
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index 0000000..5cd81db
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+++ b/book/module4/linear_regression.tex
@@ -0,0 +1,22 @@
+\section{Linear Regression}\label{linear-regression}
+
+\subsection{Statical tools}\label{statical-tools}
+
+Numpy comes with some useful statistical tools that we can use to
+analyze our data.
+
+\subsubsection{Mean}\label{mean}
+
+The mean is the average of a set of numbers. It is calculated by summing
+all the numbers and dividing by the count of numbers.
+
+\begin{Shaded}
+\begin{Highlighting}[]
+\ImportTok{import}\NormalTok{ numpy }\ImportTok{as}\NormalTok{ np}
+
+\NormalTok{mean }\OperatorTok{=}\NormalTok{ np.mean([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])}
+\NormalTok{median }\OperatorTok{=}\NormalTok{ np.median([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])}
+\NormalTok{std }\OperatorTok{=}\NormalTok{ np.std([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])}
+\NormalTok{variance }\OperatorTok{=}\NormalTok{ np.var([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])}
+\end{Highlighting}
+\end{Shaded}
diff --git a/book/module4/module4.tex b/book/module4/module4.tex
index 52442db..a8e0676 100644
--- a/book/module4/module4.tex
+++ b/book/module4/module4.tex
@@ -1,2 +1,3 @@
 \chapter{Module 4}
+\input{module4/linear_regression}
 \input{module4/plotting}