From the course: 11 Useful Tips for Regression Analysis
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Contour plots
- [Instructor] Contour plots, visualize three dimensional data, in two dimensions, by using contours to represent this third dimension. They're often used in maps, but geography is displayed in two dimensions, and height is added in a third dimension via contours. And that gives the illusion of adding depth to maps. But contour plots can also be used for statistical purposes. For example, we can use them to examine complicated interaction effects, of continuous variables. Continuous by continuous interactions in the regression, can lead to very complicated coefficients, that can take quite a while to figure out. Contour plots can significantly speed up the process of understanding these coefficients, and presenting the results to others. Let's go take a look. Here we're on Stata are using the auto training data. And let's go ahead and run a complex regression, with a continuous by continuous interaction. We're going to…
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Contents
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Weighted regression5m 36s
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Factor variables5m 40s
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Polynomial variables4m 36s
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Fractional variables5m 38s
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Model proportions5m 39s
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Centering5m 1s
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Missing data5m 55s
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Standardized estimates3m 22s
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Graph estimates4m 9s
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Contour plots3m 37s
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Animate results4m 18s
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