diff --git a/model-basics.Rmd b/model-basics.Rmd
index 6fedcee..21e1c6d 100644
--- a/model-basics.Rmd
+++ b/model-basics.Rmd
@@ -192,7 +192,7 @@ sim1_mod <- lm(y ~ x, data = sim1)
 coef(sim1_mod)
 ```
 
-These are exactly the same values we got with `optim()`! Behind the scenes `lm()` doesn't use `optim()` but instead takes advantage of the mathematical structure of linear models. Using some connections between geometry, calculus, and linear algebra, `lm()` actually finds the closest model by (effectively) inverting a matrix. This approach is both faster, and guarantees that there is a global maximum.
+These are exactly the same values we got with `optim()`! Behind the scenes `lm()` doesn't use `optim()` but instead takes advantage of the mathematical structure of linear models. Using some connections between geometry, calculus, and linear algebra, `lm()` actually finds the closest model by (effectively) inverting a matrix. This approach is both faster, and guarantees that there is a global minimum.
 
 ### Exercises