From the course: Machine Learning & AI Foundations: Linear Regression
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Simultaneous regression: Setting up the analysis - SPSS Tutorial
From the course: Machine Learning & AI Foundations: Linear Regression
Simultaneous regression: Setting up the analysis
- [Narrator] This is gonna be an interesting milestone for us 'cause we're gonna have a lot of pieces come together in a case study. In this video, we're gonna be setting up an example of simultaneous regression. Let's go to Analyze, Regression, Linear. We're gonna have waste tons be the dependent, and all of the available scale variables, all five of them will be independent. Now, one of the features that makes this simultaneous, the primary one in fact, is the fact that method is going to be Enter, and we are not gonna be utilizing the Next button. Those two things taken together is what really makes this simultaneous. So since we are approaching this as a simultaneous regression, let's talk about what settings are appropriate for that. We're gonna click on the Statistics sub-menu. And we don't need R squared changed, 'cause that's really a hierarchical regression kind of thing. But we are gonna request descriptives. We are interested in partial correlations. And we're not gonna…
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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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