Hi,

I am trying to analyze some data by using the

Main problem could be, that the y-values are ratios, normalized due to 2 other parameters such as length of a track.

Any help would be fantastic as I am definetely not an expert in statistics.

Thanks

I am trying to analyze some data by using the

**Negative Binomial Regression**. Input for a function of the**Python library StatsModels**are the independent variable x, containing true (1) or false (0) and corresponding y-values with some double values. Does it make sense to use the Negative Binomial regression in such cases of boolean independent x-values? If I just simply compute the avg y-value for the true- and for the false cases, the value of the true-cases is higher. My goal is just to verify that true-cases are just more likely to happen.Main problem could be, that the y-values are ratios, normalized due to 2 other parameters such as length of a track.

Any help would be fantastic as I am definetely not an expert in statistics.

Thanks

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