I have a blog data set, which has essentially many columns such as:
PublishDate BlogContent Views country 01-01-2018 100 1000 US 01-02-2018 120 1400 US 01-03-2018 50 600 US 01-04-2018 60 500 US 01-05-2018 90 1100 US 01-06-2018 110 1200 US
and so on.
- PublishDate represents the publish date of a article
- BlogContent represents number of articles published for the country (for the sake of simplicity i have kept it to US in this)
- Views represents the number of views that blog post got.
Country represents the country for which the blog post was made for
Now using this data I want to find out that if the blogger produces more content for country US, will there are going to be more views. That means statistically prove the relationship between Number of Content produced vs the Page Views.
I can see from the data that it does have an impact. But how can I statistically prove this?
I tried doing Granger Causality Tests but didnt get the right result. I also did simple correlation, and got a high correlation coefficient. But in stats, correlation is not causation. How do I prove that higher content release for US leads to higher page views for the content statistically?