Instruction: 

For this assignment, we will be working on understanding the behaviors and characteristics of people who use a digital application related to health and wellness. A free version offers limited content, such as tracking your exercise. A paid subscription service offers personalized coaching from a certified exercise trainer.  The company generally values the utilization of the application.  The product managers want the users to sign in frequently.  Paid coaching is a source of revenue for the company.  The product managers are also interested in analyzing their data to better understand the patterns of user behaviors.  Your work on this assignment will support that effort.

Data: 

To begin to investigate these questions, the company has gathered some information(exercise_application_user_data.csv attached below) The data include a sample of new users of the application. Each user.s behavior was tracked for 90 days. For each user, basic demographic information (Age.Group and Country) was collected from the user’s profile. Then the following characteristics were measured:

Weekly.Exercise.Sessions: This records an individual user’s rate of weekly exercise sessions tracked in the application over the 90 day period.

Daily.Logins: This measures the user’s rate of logins per day over the 90 day period.

Paid.Coaching: This measure (TRUE/FALSE) indicates whether the user paid for any coaching service within 90 days.

Based on the information above and the data provided, please answer the following questions. For multiple choice questions, please select the best answer.  When numeric answers are requested, enter the value to at least 4 decimal places. For questions with a free response, please answer in approximately 2-4 sentences. Your answers should be directed to the product manager of the digital application.

So far, we’ve covered linear and logistic regression, so please do not go beyond these two areas. Please also provide R code and brief explanations with the answers, thank you.