Cost data and demand data for a company's best-selling product are given in the tables below. Find linear regression models for cost and demand and then use them to find the number of items that must be sold to break even on that product. Round your answer to the nearest unit.

col1 Quantity Produced 1,000 2,000 3,000 4,000
col2 Total Cost $16,300 $21,400 $24,100 $26,300
col3 Quantity Demanded 1,000 2,000 3,000 4,000
col4 Price in Dollars $9.05 $8.70 $8.35 $8.00
a) 22,564
b) 8,757
c) 0
d) 42,486
e) 2,665
f) None of the above.

David consumes two things: gasoline (g) and bread (b). david's utility function is u(g, b) = 10g^0.25 b^0.75. use the lagrange technique to solve for david's optimal choices of gasoline and bread as a function of the price of gasoline, p_g, the price of bread, p_b, and his income m. with recent decrease in the price of gasoline (maybe due to external shock such as shale gas production) does david increase his consumption of gasoline? for david, how does partial differential g/partial differential p_g depend on his income m? that is, how does david's change in gasoline consumption due to an increase in the price of gasoline depend on his income level? to answer these questions, find the cross-partial derivative, |partial differential^2 g/partial differential m partial differential p_g.