We know that internet usage (as well as Firefox usage) sees a good deal of fluctuation based on seasonality. We’ve also historically noticed that the day of the week affects usage of the internet (or number of people using the internet, depending on your definition of usage).
Thinking about this latter trend, I decided to quantify this “day of week” effect. Applying regression analysis to some numbers that give us a rough idea of daily active Fx users, I’m able to account for a few factors, including the month of the year and US holidays (“controlling for all observable variables” in statistical speak). Here’s what I found:
If there are any stats fans reading, please let me know. I’m happy to go into further detail regarding my regression model, the regression coefficients, t-stats, etc. For everyone else, there’s an easy way to intrepret these findings. Guessing the number of daily active internet users on Fridays as 400 million, we can estimate the day-to-day change in internet usage during a typical week:
I wonder if comScore, Nielsen and other measurement firms see similar usage patterns…