From the course: 11 Useful Tips for Regression Analysis
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Graph estimates
- [Instructor] Regression output can be complex. Real-world regressions often have many explanatory variables and they'll produce many numbers. Moreover, it is common to present more than one regression model at a time. This produces even more numbers, and it can be hard to figure out what's going on. This matters especially if you're presenting verbally. You should rarely present a full regression table on a PowerPoint slide. So let me show you how to visualize estimates from a regression on a graph. Here we are in Stata with the auto training data already open. There's a lot of code here, which I won't explain in detail, but I will say that I'm using a user written command called coefplot to graph the coefficients from various regressions. So let's go ahead and run a regression. Let's estimate the price of a car as a function of several car characteristics. Okay, there we are. We've got our regression results.…
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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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