From the course: Machine Learning & AI Foundations: Linear Regression
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Visualizing part and partial correlations - SPSS Tutorial
From the course: Machine Learning & AI Foundations: Linear Regression
Visualizing part and partial correlations
- [Instructor] When it's a new topic for you this whole issue around R squared, and partial correlations, and part correlations can be confusing. Certainly it doesn't help, that sometimes to make an apples to apples comparison, we then get involved in part squared, or partial squared. I know when I was first learning this and I got a scratch pad out, I found that very helpful. If I was drawing this or looking at numbers and in order to keep everything the same, I would think of R squared, partial squared, and part squared. In that spirit, let's look at some Venn diagrams together and see if we can't get comfortable with the concepts behind these statistics. In the case of R squared, this is the one of course we're probably the most familiar with. It's gonna be the variance that the independent variables are able to explain in R squared. And, it's calculated as a ratio but we tend to go ahead and multiply it times 100 and think of it as a percentage. So, that's our R squared. So, when…
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Contents
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Three regression strategies and when to use them2m 45s
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Understanding partial correlations3m 54s
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Understanding part correlations3m 40s
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Visualizing part and partial correlations5m 11s
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Simultaneous regression: Setting up the analysis2m 43s
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Simultaneous regression: Interpreting the output7m 55s
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Hierarchical regression: Setting up the analysis5m 5s
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Hierarchical regression: Interpreting the output7m 20s
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Creating a train-test partition in SPSS4m 30s
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Stepwise regression: Setting up the analysis3m 24s
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Stepwise regression: Interpreting the output4m 5s
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