From the course: Python Data Analysis
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Solution: Gapminder model fit - Python Tutorial
From the course: Python Data Analysis
Solution: Gapminder model fit
- [Instructor] Okay, so we need to find a model for the babies_per_woman variable that has a sufficiently high explanatory power as measured by the F statistic. Let's set up a formula. We'll use the region and age5_surviving. I define a model, fit it, and return the resulting object. Test. Okay, this is almost right. The F value is not quite there, so this may take some experimentation. We could add a second explanatory variable, but the result is actually worse. In fact, we find that using a different function of the age5_surviving variable is just what we need. How about the second power, the square? Perfect.
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