diff --git a/Getting Started/lm_model.py b/Getting Started/lm_model.py
new file mode 100644
index 0000000..f730a48
--- /dev/null
+++ b/Getting Started/lm_model.py
@@ -0,0 +1,26 @@
+from sklearn import linear_model
+from pandas import DataFrame
+import pandas as pd
+import pandas
+import matplotlib.pyplot as plt
+
+input_data = pandas.read_table("height.csv", sep=",", header=0, names=("weight", "height"))
+
+plt.scatter(input_data["weight"], input_data["height"])
+#plt.show()
+
+predictor = pd.DataFrame(input_data, columns=["weight"])
+outcome = pd.DataFrame(input_data, columns=["height"])
+
+lm = linear_model.LinearRegression()
+lm_model = lm.fit(predictor, outcome)
+
+predicted_heights = lm.predict(predictor)
+
+#print("Predicted:")
+#print(predicted_heights[0:6])
+#print("Actual:")
+#print(outcome[0:6])
+
+r_squared = lm.score(predictor, outcome)
+print(r_squared)
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