Update docs/dagster-university/pages/dagster-dbt/lesson-5/3-creating-…

…assets-that-depend-on-dbt-models.md

Co-authored-by: Tim Castillo <[email protected]>

docs/dagster-university/pages/dagster-dbt/lesson-5/3-creating-assets-that-depend-on-dbt-models.md

@@ -14,7 +14,7 @@ At this point, you’ve loaded your dbt models as Dagster assets and linked the
 
 In this section, you’ll learn how to do this by defining a new Dagster asset that depends on a dbt model. We’ll make some metrics in a dbt model and then use Python to generate a chart with that data.
 
-If you’re familiar with New York City, you might know that there are three major airports - JFK, LGA, and EWR - in different parts of the metropolitan area. Hypothetically, you’re curious how their final destination impacts the airport they fly into. For example, how many people in Queens flew into LGA?
+If you’re familiar with New York City, you might know that there are three major airports - JFK, LGA, and EWR - in different parts of the metropolitan area. Hypothetically, you’re curious how their final destination impacts the airport they fly into. For example, how many people staying in Queens flew into LGA?
 
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