Question
7a. You have been asked to analyze data on customer cancellations within 60 days of purchasing insurance with GEICO, and are given the characteristics of
7a. You have been asked to analyze data on customer cancellations within 60 days of purchasing insurance with GEICO, and are given the characteristics of the policy (payment plan, number of vehicles, coverage choices, etc.) along with cancellation (Yes or No). The goal of the analysis is to determine if a certain payment plan we offer leads to significantly lower cancellation rates. How would you approach this problem? Fully explain the reasoning behind your choice.
7b. You have been asked to build a model that predicts the rate of auto accidents, given daily local weather data. The goal of the analysis is to produce predictions that are as accurate as possible. What type of statistics or machine learning model would you use in this scenario? Again, fully explain the reasoning behind your choice.
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