Understanding the modeling limitations of linear regression.
Well done, mate! 👏
I would say the following are some limitations of poisson regression:
Nonlinearity: since it's a linear model, the model will not be able to apply to nonlinear relations or data.
Sensitivity: the model is so sensitive to the outliers that if the data set is overdispersed, poisson regression is not the perfect choice.
Difficulty of interpretation.
Rightly said, Mohammed :)
Adding one more to this, as we are assuming data comes from a Poisson distribution, it is assumed to have roughly same mean and std-dev.
Well done, mate! 👏
I would say the following are some limitations of poisson regression:
Nonlinearity: since it's a linear model, the model will not be able to apply to nonlinear relations or data.
Sensitivity: the model is so sensitive to the outliers that if the data set is overdispersed, poisson regression is not the perfect choice.
Difficulty of interpretation.
Rightly said, Mohammed :)
Adding one more to this, as we are assuming data comes from a Poisson distribution, it is assumed to have roughly same mean and std-dev.