FAQ: Linear Regression in R - Visualizing Model Fit

This community-built FAQ covers the “Visualizing Model Fit” exercise from the lesson “Linear Regression in R”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Analyze Data with R

FAQs on the exercise Visualizing Model Fit

There are currently no frequently asked questions associated with this exercise – that’s where you come in! You can contribute to this section by offering your own questions, answers, or clarifications on this exercise. Ask or answer a question by clicking reply (reply) below.

If you’ve had an “aha” moment about the concepts, formatting, syntax, or anything else with this exercise, consider sharing those insights! Teaching others and answering their questions is one of the best ways to learn and stay sharp.

Join the Discussion. Help a fellow learner on their journey.

Ask or answer a question about this exercise by clicking reply (reply) below!
You can also find further discussion and get answers to your questions over in #get-help.

Agree with a comment or answer? Like (like) to up-vote the contribution!

Need broader help or resources? Head to #get-help and #community:tips-and-resources. If you are wanting feedback or inspiration for a project, check out #project.

Looking for motivation to keep learning? Join our wider discussions in #community

Learn more about how to use this guide.

Found a bug? Report it online, or post in #community:Codecademy-Bug-Reporting

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!

Hi guys,

just wondering, for this exercise why are we applying a LOESS model to a model with two variables that share a linear relationship? Tried finding more information online about LOESS and they seem to point to it being used as a smoothing function for CURVES rather than lines like in this case?

The method that I came across most often while searching for a situation like that (where two variables share a linear relationship) and you’re trying to find out the strength of that relationship is to use the least squares method.


I think the purpose of the LOESS model is to show where the linear model we’ve created seems to fit the data well, and where the data departs from linearity. It’s easy to see where the linear model might not be a good fit when the two lines suddenly diverge. But that’s a guess. I didn’t feel like this was explained well either.