From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced

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Q-Q plot for checking the normality of error terms

Q-Q plot for checking the normality of error terms - SQL Tutorial

From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced

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Q-Q plot for checking the normality of error terms

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- [Instructor] Welcome to step 18 of your journey to build a reliable model for predicting home values. So far, you've been examining various assumptions to ensure your model behaves as expected. In this step, you're going to explore a fascinating tool called the Q-Q Plot to see if the errors in your data follow a typical or expected pattern. But what does that mean and why is it important? Think of a Q-Q Plot as a special kind of graph, like an x-ray that helps you see hidden characteristics of your data. In this case, it's like taking an x-ray of your residuals, the differences between your predicted and actual values. You're going to use a Q-Q Plot to visualize your residuals. Imagine it as a way to unveil the true nature of your data. Here's how it works. You'll run this code to create the Q-Q Plot. Now, let's take a look at the observations from your plot. Starting with the trend, the points on the plot seem to follow a…

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