Based on the visualization above, there is not much of a correlation between the time spent on a website and more money spent.
Based on the visualization above, there is more of a correlation than time spent on the website; however, the data is not yet convincing to believe there is actually a correlation.
Still not convincing enough. Now let's look at the relationships between the entire dataset.
Based on the visualizations above, "Length of membership" and "Yearly Amount Spent" seem to be the most correlated.
It seems to be a good fit. Let's look at the residuals to ensure the model makes sense
If all of the other features remain fixed:
(1) Spend more time developing the application since it yields a significant amount of money compared to the website.
(2) Spend more time on increasing membership retention since it yields the greatest amount of money spent by the customer.