EDA gives you a clear idea about your features. It also helps to capture any trend or seasonality of data points. Use Box plot to show the outliers in your variables {gre, gpa). In your case, you can see that the higher the GRE and GPA. the better the chances of getting admit. 6. Predictive Modeling - This is a binary classication problem. The output has only two possibilities either Yes {1] or No (0). You will use Logistics Regression in Real Statistics (Addin) to conduct your analysis. Use Binary Logistic Regression Model in Real Statistics Addin to predict the dependent variable (DV Admit = 1, or Not Admit =0, to PhD. program), whether a student will be admitted with the three independent variables (IV gre, gpa, rank} What to submit: The Workbook with your analysis: Thr-s wnrkthpt rnntainino H'HJ Rm: nlntc