From the course: Machine Learning & AI Foundations: Linear Regression
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Dealing with outliers: Studentized deleted residuals - SPSS Tutorial
From the course: Machine Learning & AI Foundations: Linear Regression
Dealing with outliers: Studentized deleted residuals
- [Narrator] Okay so, now we're gonna talk about the studentized deleted residual that we generated in the last video. Let me briefly mention where the name comes from. Studentized may seem like a bit of a strange name. It's actually named after a gentleman whose pseudonym was student; his real name was Gosset. It's easy to find information about him on the web, because he was one of the most famous 20th century statisticians. Anyway, Gosset worked for Guinness the beer brewery. And they didn't allow him to do any kind of outside work but he enjoyed writing academic papers and doing statistical work in his spare time. So again, it's very well known that he wrote under the name student. So, this was a contribution that we get from Gosset. It's a powerful way to look at outliers. Let me try to explain what's going on with this. So, the whole idea of this studentized deleted residual, in the case of this first instance which is a male employee whose beginning salary is about $32,000 we…
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Contents
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Collinearity diagnostics6m 30s
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Dealing with multicollinearity: Factor analysis/PCA4m 17s
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Dealing with multicollinearity: Manually combine IVs3m 15s
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Diagnosing outliers and influential points7m 21s
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Dealing with outliers: Studentized deleted residuals5m 49s
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Dealing with outliers: Should cases be removed?6m 48s
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Detecting curvilinearity5m 20s
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