Background Paragraph: Turner et al (2006) derived crash prediction models for this report’s predecessor and found a
pronounced ‘safety in numbers’ effect in the models. Using the crash prediction model for mid-block
locations, generic motorist and cyclist volumes can be used to demonstrate the impacts on the
expected crash rate of varying motor vehicle and cycle volumes. As shown in figure 2.20, an increase
in the proportion of cyclists to the overall traffic volume causes an increase in expected crashes at
mid-block locations, but the crash rate increases at a decreasing rate. That is to say, the crash rate per
cyclist goes down as the cycle volume increases. 
Story: Motorcycle fest lasted a week in the city. On Monday, there were 500 motorcycles on the road. On Tuesday, there were 600 motorcycles on the road. On Wednesday, there were 700 motorcycles on the road. On Thursday, there were 800 motorcycles on the road. On Friday, there were 900 motorcycles on the road. On Saturday, there were 1000 motorcycles on the road. On Sunday, there were 1100 motorcycles on the road. The festival generated a lot of revenue for the city. 
Question: What day was the crash rate per cyclist lower: Monday or Sunday?
Sunday.