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Conduct an exploratory data analysis (EDA) of the relevant variables before constructing a model.

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Conduct an exploratory data analysis (EDA) of the relevant variables before constructing a model. In your report, include the univariate EDA for the response variable, as well as the bivariate EDA between the response variable and four predictor variables: sex_of_victim, incidentYear, the variable you create (as described below), and another variable of your choice for which the EDA provides some interesting insights.

Build a useful statistical model:

Do not just use an automated procedure (e.g., backwards elimination) to arrive at your final model. You may use an automated procedure as a starting point or perhaps to compare your final model with. But do not arrive at your final model by simply running an automated procedure. Your final model need not be the same as one constructed using an automated procedure.

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