October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Linear regression
As we mentioned previously, regression focuses on using the relationship between two variables for prediction. In order to make predictions using linear regression, the best-fitting straight line must be computed.
If all the points (values for the variables) lie on a straight line, then the relationship is deemed perfect. This rarely happens in practice and the points do not all fit neatly on a straight line. Because of this, the relationship is imperfect. In some cases, a linear relationship only occurs among log-transformed variables. This is a log-log model. An example of such a relationship would be a power law distribution in physics, where one variable varies as a power of another.
Thus, an expression such as this ...
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