# 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”.

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This exercise can be found in the following Codecademy content:

## FAQs on the exercise Visualizing Model Fit

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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.

Thanks!

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.