A digital media company is analyzing user engagement data to understand factors affecting video views.
The team suspects that both the length of videos and the time of posting might be influencing the number of views. They decide to use correlation analysis to validate these hypotheses.
Given the following scenarios, determine which would correctly apply correlation analysis to investigate the hypotheses:
- Scenario I: Comparing the average length of videos to the average number of views per day to determine if longer or shorter videos are more popular.
- Scenario II: Looking at the times videos are posted and the immediate number of views within the first hour to see if certain times yield more views.
- Scenario III: Calculating the correlation coefficient between the video length and the number of views and between the posting time and the number of views.
Choose the scenario(s) that accurately represent applying correlation analysis in this context.