Definition: You are given a background paragraph that describes one or more causal or physical relationships, such as a relationship in economics, scientific law, or nature. You need to come up with a fictional story that makes use of the concepts or the relationship described in the provided paragraph. Make sure that your story does not repeat the relation in the given paragraph (e.g., by avoiding verbatim copies of the given paragraph). Start by reading the background paragraph, and determine what relationship(s) are in the paragraph. Write a story that involves the relationship(s) that you determined are in the background paragraph. Try to use your own words as much as possible and not repeat the background paragraph. Feel free to make up places and events as long as they tie back to the background paragraph in a way that you can ask a question about.

Positive Example 1 -
Input: Background Paragraph: A rise in price of a good or service almost always decreases the quantity demanded of that good or service. Conversely, a fall in price will increase the quantity demanded. When the price of a gallon of gasoline increases, for example, people look for ways to reduce their consumption by combining several errands, commuting by carpool or mass transit, or taking weekend or vacation trips closer to home. Economists call this inverse relationship between price and quantity demanded the law of demand. The law of demand assumes that all other variables that affect demand (which we explain in the next module) are held constant.
Output: The AAA auto club does a weekly report on the prices of gas and diesel in various cities. Historically, the prices have be fairly stagnant, but this week their report garnered widespread attention as the prices of gas and diesel plunged from last week in Seattle by $0.40 each. However, just across the border in Vancouver, the cost of gas went up dramatically by $0.50.

Positive Example 2 -
Input: Background Paragraph: The lesson is not that society is likely to make an extreme choice like devoting no resources to education at point A or no resources to health at point F. Instead, the lesson is that the gains from committing additional marginal resources to education depend on how much is already being spent. If on the one hand, very few resources are currently committed to education, then an increase in resources used can bring relatively large gains. On the other hand, if a large number of resources are already committed to education, then committing additional resources will bring relatively smaller gains.
Output: The state is deciding where to spend the rest of their budget for education. In an analysis of how districts in the state are spending their annual budgets, auditors found that in district A, most of the money was already being spent on schools. However, in district B, the money was not spent on school, but mostly on transportation.

Negative Example 1 -
Input: Background Paragraph: A rise in price of a good or service almost always decreases the quantity demanded of that good or service. Conversely, a fall in price will increase the quantity demanded. When the price of a gallon of gasoline increases, for example, people look for ways to reduce their consumption by combining several errands, commuting by carpool or mass transit, or taking weekend or vacation trips closer to home. Economists call this inverse relationship between price and quantity demanded the law of demand. The law of demand assumes that all other variables that affect demand (which we explain in the next module) are held constant.
Output: A rise in price of a good or service almost always decreases the quantity demanded of that good or service.

Now complete the following example -
Input: 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.
Output: 



Stories:
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.

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.

Steven loves biking to get to and from places instead of driving his car. This weekend he is planning a long bike ride along the city streets to see some sites. He is however, concerned with traffic, and knows that it can sometimes be dangerous. He has wonder if he should travel with some friends for the ride, or just go alone.

There was a week long bike tournament. Day 1 had 500 cyclists left.  Day 2 had 400 cyclists left. Day 3 had 300 cyclists left. Day 4 had 200 cyclists left. Day 5 had 100 cyclists left. Day 6 had 50 cyclists left. Day 7 had 10 cyclists left. Tom won the tournament and got a big trophy.

There were a lot of motorcycles on Interstate 10 last week. On Tuesday, there were 3500 motorcyclists. On Wednesday, there were 4500 motorcyclists. On Thursday, there were 5500 motorcyclists. On Friday, there were 6500 motorcyclists. On Saturday, there were 7500 motorcyclists. On Sunday, there were 8500 motorcyclists. On Monday, there were 9500 motorcyclists.

There were a lot of motorcycles on Interstate 11 last week. On Wednesday, there were 1500 motorcyclists. On Thursday, there were 2500 motorcyclists. On Friday, there were 3500 motorcyclists. On Saturday, there were 4500 motorcyclists. On Sunday, there were 5500 motorcyclists. On Monday, there were 6500 motorcyclists. On Tuesday, there were 7500 motorcyclists.

There were a lot of motorcycles on Interstate 12 last week. On Thursday, there were 1501 motorcyclists. On Friday, there were 2501 motorcyclists. On Saturday, there were 3501 motorcyclists. On Sunday, there were 4501 motorcyclists. On Monday, there were 5501 motorcyclists. On Tuesday, there were 6501 motorcyclists. On Wednesday, there were 7501 motorcyclists.

There were a lot of motorcycles on Interstate 14 last week. On Friday, there were 1511 motorcyclists. On Saturday, there were 2511 motorcyclists. On Sunday, there were 3511 motorcyclists. On Monday, there were 4511 motorcyclists. On Tuesday, there were 5511 motorcyclists. On Wednesday, there were 6511 motorcyclists. On Thursday, there were 7511 motorcyclists.

There were a lot of motorcycles on Interstate 15 last week. On Saturday, there were 1551 motorcyclists. On Sunday, there were 2551 motorcyclists. On Monday, there were 3551 motorcyclists. On Tuesday, there were 4551 motorcyclists. On Wednesday, there were 5551 motorcyclists. On Thursday, there were 6551 motorcyclists. On Friday, there were 7551 motorcyclists.

There were a lot of motorcycles on Interstate 16 last week. On Sunday, there were 1255 motorcyclists. On Monday, there were 2255 motorcyclists. On Tuesday, there were 3251 motorcyclists. On Wednesday, there were 4251 motorcyclists. On Thursday, there were 5251 motorcyclists. On Friday, there were 6251 motorcyclists. On Saturday, there were 7251 motorcyclists.

There were a lot of motorcycles on Interstate 17 last week. On Monday, there were 1355 motorcyclists. On Tuesday, there were 2355 motorcyclists. On Wednesday, there were 3351 motorcyclists. On Thursday, there were 4351 motorcyclists. On Friday, there were 5351 motorcyclists. On Saturday, there were 6351 motorcyclists. On Sunday, there were 7351 motorcyclists.

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.

There were a lot of motorcycles on Interstate 4 last week. On Saturday, there were 1500 motorcyclists. On Sunday, there were 2500 motorcyclists. On Monday, there were 3500 motorcyclists. On Tuesday, there were 4500 motorcyclists. On Wednesday, there were 5500 motorcyclists. On Thursday, there were 6500 motorcyclists. On Friday, there were 7500 motorcyclists.

There were a lot of motorcycles on Interstate 5 last week. On Sunday, there were 2000 motorcyclists. On Monday, there were 3000 motorcyclists. On Tuesday, there were 4000 motorcyclists. On Wednesday, there were 5000 motorcyclists. On Thursday, there were 6000 motorcyclists. On Friday, there were 7000 motorcyclists. On Saturday, there were 8000 motorcyclists.

There were a ton of motorcycles on Interstate 8 last week. On Monday, there were 2500 motorcyclists. On Tuesday, there were 3500 motorcyclists. On Wednesday, there were 4500 motorcyclists. On Thursday, there were 5500 motorcyclists. On Friday, there were 6500 motorcyclists. On Saturday, there were 7500 motorcyclists. On Sunday, there were 8500 motorcyclists.