From a182d0bdecd7f0b32eeccb3c8dfca842320d5edb Mon Sep 17 00:00:00 2001
From: S'busiso Mkhondwane <semkhondwane@gmail.com>
Date: Tue, 2 Aug 2016 21:03:10 +0200
Subject: [PATCH] Update model-basics.Rmd (#227)

typo
---
 model-basics.Rmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/model-basics.Rmd b/model-basics.Rmd
index 71e730f..f2107e4 100644
--- a/model-basics.Rmd
+++ b/model-basics.Rmd
@@ -16,7 +16,7 @@ There are three parts to a model:
     data, and `a_1` and `a_2` are parameters that can vary to capture 
     different patterns.
 
-1.  Next, you generate a __fitted model__ by finding the the model from the 
+1.  Next, you generate a __fitted model__ by finding the model from the 
     family that is the closest to your data. This takes the generic model 
     family and makes it specific, like `y = 3 * x + 7` or `y = 9 * x ^ 2`.