So let's try a real correlation / linear regression model that comes up quite often.
Try to solve this problem in R. We have a hypothesis that patient wait time is linearly related to number of providers in a clinic. We take a sample, and derive the following.
wait=c(5,10,20,15,30,25,40,25,50)
num=c(10,8,5,6,3,5,4,3,4)
Provide relevant descriptive statistics including graphs. Run correlation analysis. Provide a scatterplot. Run regression. Interpret the findings. What did you learn during this process?