Assignment Task

 

Objective: This assignment is designed to hone your skills of using regression analysis to improve user engagement on social media. The data “dataset_Facebook_student.xlsx” can be found in the “Assignment” folder on Blackboard

Claim: The data is related to posts published during the year of 2014 on the Facebook's page of a renowned cosmetics brand. This dataset contains 500 of the 790 rows and part of the features analyzed by Moro et al. (2016)

 

Questions

  • Using these pieces of information, you plan to identify dimensions of the Facebook posts that work well at increasing user engagement:
     
  • Identify three main proxies in the data that you would like to use to measure user engagement?
     
  • Explain why do you think so?
     
  • What are some other proxies (name at least two) for user engagement that are currently unavailable in the data?
     
  • Identify elements of a status update via linear regressions that seems to boost user engagement. Based on your answer in Q1, please present the snapshot of regression results and explain how you use these results to reach your conclusion.
     
  • Does the inclusion of video increase or decrease user engagement? 
     
  • Do special offers & contests increase or decrease user engagement?
     
  • Is a paid post more or less effective than an organic post in increasing user engagement? 

 

 

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  • Uploaded By : William
  • Posted on : April 03rd, 2019

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