The tables to the right give price-demand and price-supply data for the sale of soybeans at a grain market, where x is the number of bushels of soybeans (in thousands of bushels) and p is the price per bushel (in dollars). Use quadratic regression to model the price-demand data and linear regression to model the price-supply data. Complete parts (A) and (B) below.

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Chapter1: Making Economics Decisions
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The tables to the right give price-demand and price-supply data for the sale of soybeans at a
grain market, where x is the number of bushels of soybeans (in thousands of bushels) and p is the
price per bushel (in dollars). Use quadratic regression to model the price-demand data and linear
regression to model the price-supply data. Complete parts (A) and (B) below.
(A) Find the equilibrium quantity and equilibrium price.
The equilibrium quantity is thousand bushels.
(Round to three decimal places as needed.)
(...)
Price-Demand
p=D(x)
6.67
6.56
6.47
6.36
6.34
X
0
10
20
30
40
Price-Supply
p= S(x)
6.46
6.54
6.60
6.61
6.68
X
0
10
20
30
40
Transcribed Image Text:The tables to the right give price-demand and price-supply data for the sale of soybeans at a grain market, where x is the number of bushels of soybeans (in thousands of bushels) and p is the price per bushel (in dollars). Use quadratic regression to model the price-demand data and linear regression to model the price-supply data. Complete parts (A) and (B) below. (A) Find the equilibrium quantity and equilibrium price. The equilibrium quantity is thousand bushels. (Round to three decimal places as needed.) (...) Price-Demand p=D(x) 6.67 6.56 6.47 6.36 6.34 X 0 10 20 30 40 Price-Supply p= S(x) 6.46 6.54 6.60 6.61 6.68 X 0 10 20 30 40
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