From the course: Machine Learning & AI Foundations: Linear Regression
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Hierarchical regression: Setting up the analysis - SPSS Tutorial
From the course: Machine Learning & AI Foundations: Linear Regression
Hierarchical regression: Setting up the analysis
- [Instructor] In this case study, we're going to be performing a hierarchical regression. What makes it distinct is we need a theory that allows us to sequence the variables in a particular way. We're going to be using the MWBank case study data, however, we're gonna use an example of the data file that has incorporated dummy codes and interaction terms that were created during a previous step. The file is called MWBank with Dummy Codes and Interaction Terms. Okay, here we are in the data file, and we have the original MWBank data, but in addition to that, we have a series of dummy coded variables clerical_yn, ot_yn, and so on. And then on the right-hand side, we have educ_cen and ed_sex. So let's go into the regression menu and start setting up our analysis. We're gonna go to Analyze, Regression, Linear. And in order to do this in a hierarchical style, we're gonna be using the blocks or steps, which means that we're gonna be using the Next button once we start to populate this. So…
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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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