The linear regression models for price-supply and price-demand data are as follows:

1. Price-Supply Model:
   $y = 0.22x + 0.66$
   where $x$ is supply (in billions of bushels) and $y$ is price (in dollars).

2. Price-Demand Model:
   $y = -0.14x + 3.48$
   where $x$ is demand (in billions of bushels) and $y$ is price (in dollars).

Equilibrium:

The equilibrium occurs when supply equals demand. The equilibrium supply and demand are approximately 7.68 billion bushels, and the equilibrium price is about $2.38 per bushel.

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Here are 5 related questions to expand on this:

1. How is linear regression used to model price-supply and price-demand relationships?
2. What does the slope of the price-supply line signify?
3. How does the intercept affect the interpretation of both models?
4. How could changes in supply and demand factors shift the equilibrium price?
5. What real-world factors might affect the accuracy of these regression models?

Tip: In economics, equilibrium prices adjust when either the supply or demand curve shifts due to factors like technological advancements or changes in consumer preferences.