Solution

generate_data.py

@@ -0,0 +1,9 @@
+from random import randint, gauss
+
+def generate_data(n, xmin, xmax, slope, intercept, error):
+    sample = []
+    for i in range(n):
+        x = randint(xmin, xmax)
+        y = round(gauss(intercept + x * slope, error))
+        sample.append([x, y])
+    return sample