ISYS3374: Business Analytics - Logistic Regression - Business Analytics Assignment Help

Internal Code : 1AAAIA

Business Analytics Assignment Help

TASK Give two examples related to your discipline that you may face imbalance data in classification techniques. How do you approach to handle imbalance data? You need to provide detail explanations Explain why you can or why you cannot use R 2 or adjusted R 2 to evaluate a logistic regression? Give two practical examples on applications of logistic regression in your discipline. Provide detail explanations. You need to explain why you think logistic regression can be used in those cases, you do not need to provide data or actually solve them. Assume one of the explanatory variable (named X 1 ) in your logistic regression is a categorical variable with the following levels: low, average, high, very high and another explanatory variable (named X 2 ) is also categorical with the following levels: Sydney, Melbourne and Brisbane. Explain how you will use them in developing your logistic regression model. How many coefficients you will have in your final model?