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Abstract This thesis focuses on multicollinearity in count regression models, where the response variable is count-valued and may not follow a normal distribution.Unlike liner regression, multicollinearity poses unique challenges in count regression, leading to imprecise parametes estimates and difficulty in assessing the impact of explanatory variables. |