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Applying linear models

In the lesson, you reviewed linear models and how they can "break" when certain assumptions are not met. For example, one assumption is that the response variable is continuous and that a Gaussian distribution for the response can be applied for the model formulation. In case of a binary response variable, the response distribution is Binomial providing for the estimated \(y\) to be bounded by 0 and 1.

Using the information provided in the lesson, which of the following statements is TRUE?

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Generalized Linear Models in Python

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