From the course: Machine Learning & AI Foundations: Linear Regression

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Checking assumptions: Residuals plot

Checking assumptions: Residuals plot - SPSS Tutorial

From the course: Machine Learning & AI Foundations: Linear Regression

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Checking assumptions: Residuals plot

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- [Instructor] Okay, we're gonna discuss a very important topic. A bit technical, a bit mysterious at first, but nonetheless terribly important, the notion of a residuals plot. So let's do an investigation of one using the MWBank dataset. So that's one of our case study datasets. Here's our data. A common trap that folks can fall into when they're new to multiple regression is that they hear about assumptions like, "Put all the relevant variables in," "leave the irrelevant variables out," "make sure that you have normality of errors," and it just sounds like this mysterious laundry list as if there's not much that we can do about it. There actually is, and the residuals plots are probably the key to understanding those assumptions. So let's take a closer look. We're gonna go into the regression menu. And because this set of menus can produce complex output, we're gonna start with just a simple regression example of this plot. We're gonna choose beginning salary as our dependent and…

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