From the course: Machine Learning & AI Foundations: Linear Regression
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Stepwise regression: Setting up the analysis - SPSS Tutorial
From the course: Machine Learning & AI Foundations: Linear Regression
Stepwise regression: Setting up the analysis
- [Instructor] Okay, we're gonna go ahead and precede with our Step Wise regression. I'm in the same file as the last video, my train test variable which I have retained, and I went ahead and saved this. If it is not open, you can go ahead and retrieve it from exercises auto imports with train test. Let's precede. Let's go ahead and run the Step Wise. I'm gonna go up to analyze, regression, linear. It's important that you embrace the spirit of Step Wise. If you're doing thesis work, like a master's thesis or a PhD thesis, this technique is not gonna make a bit of sense because you're not gonna be proving or disproving hypothesis. It's inherently exploratory. There's a great white paper and even a video on the web that you might want to seek out called To Explain Or To Predict. The academic who has written this and she's done a wonderful job with it, is named Galit Shmueli. I encourage you to seek that out. What we're gonna do, in the spirit of an exploratory technique, is we're 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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