You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.

Q: Background Paragraph: Regions on the Earth's surface (or in its atmosphere) that are high above mean sea level are referred to as high altitude. High altitude is sometimes defined to begin at 2,400 meters (8,000 ft) above sea level.[5][6][7]

At high altitude, atmospheric pressure is lower than that at sea level. This is due to two competing physical effects: gravity, which causes the air to be as close as possible to the ground; and the heat content of the air, which causes the molecules to bounce off each other and expand.[8]. 
Story: There was a competition for who can get the kite highest into the air. Team A got it 2,000 ft. Team B got it 3,000 ft. Team C go it 6,000 ft. Team D got it 9,000 ft. Team E got it 10,000 ft.  Team F got it 11,000 ft. Team G got it 12,000 ft. Team G won the contest and got a gold trophy as the prize. 
Question: What team got their kite into high altitude: Team C or Team F?

A: Team F.
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Q: 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: Berg village and Hill village are renowned for the high number of cyclists living there. Berg village dealt with many traffic casualties because of narrower streets and lanes, While Hill village had wide streets, more traffic signals and a greater number of cyclists. 
Question: Which village had a greater traffic volume?

A: Hill.
****
Q: 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: There were a lot of motorcycles on Interstate 2 last week. On Friday, there were 1000 motorcyclists. On Saturday, there were 1200 motorcyclists. On Sunday, there were 1400 motorcyclists. On Monday, there were 1600 motorcyclists. On Tuesday, there were 1800 motorcyclists. On Wednesday, there were 2000 motorcyclists. On Thursday, there were 2500 motorcyclists. 
Question: What day had a lower crash rate per cyclist: Thursday or Friday?

A:
Thursday.
****
