ImDownWithThis is a (fictitious) AI-driven app that helps people manage their weight. It operates on a monthly subscription basis (the company calls subscribers members) where the subscription includes an (AI generated) expert assessment, guidance, tips and education, a digitally connected scale and unlimited virtual coaching. Through various behavioral modification techniques, the company encourages members to weigh in daily and check in with their virtual coach at least daily. By connecting to member’s scale, the company reads the weight of all members who weigh in. It then uses this information and the contents of previous coaching sessions to guide a virtual assistant in chat sessions with members. The company recently incorporated ChatGTP technology into its virtual assistant.
When members join, they fill out a detailed assessment that supplies personal and demographic information about themselves including age, gender, marital status, height and weight, etc. The company computes four proprietary scores for each member:
1. Diet: a measure of the member’s eating habits.
2. Engagement: a measure of how engaged the member is in ImDownWithThis’s programs and coaching.
3. Success: a measure of several member attributes including weight loss and maintenance and the member’s desired goals.
4. Bliss: a measure of the member’s overall happiness with themself, and their life based on proprietary algorithms the company applies to the virtual chat sessions.
These scores are continuously evaluated and updated, although the supplied data for this exercise is at single points in time (there is no longitudinal data analysis in this case study).
Deliverables: Perform regression analysis to:
@Identify correlations in marital status and scores (bliss, diet, success, and engagement edit 100+to 99)
@ Identify correlations in marital status and children and scores(bliss, diet, success, and engagement edit 100+to 99)
@ Identify trends in the scores and length of membership
NOTE: Scores comprise of (bliss score, diet score, success score, and engagement edit 100+to 99 score)
Pls explain the findings
