Devin is a landscaper who needs to prepare different types of grass seed for his customers' yards. Bluegrass seed costs \$2.00$2.00dollar sign, 2, point, 00 per pound while drought-resistant seed costs \$3.00$3.00dollar sign, 3, point, 00 per pound. If for a particular day the two types of grass seed totaled \$68.00$68.00dollar sign, 68, point, 00 and together weighed 252525 pounds, how many pounds of bluegrass seed did Devin prepare

Which of the following best explains why treasury bonds have an effect on the size of the money supply? a. the amount of treasury bonds in circulation affects both unemployment and inflation. b. the government can spend more money and charge lower taxes by using treasury bonds. c. the federal reserve bank can buy and sell these bonds to raise or lower bank deposits. d. the interest paid on treasury bonds influences the interest rates charged by private banks. 2b2t

Aprice ceiling is “binding” if the price ceiling is set below the equilibrium price. suppose that the equilibrium price is $5. if a price ceiling is set at $6, this will not affect the market in any way since $5 remains a legally allowable price (since $5 < $6). a price ceiling of $6 is called a “non-binding” price ceiling. on the other hand, if the price ceiling is set at $4, the price ceiling is “binding” because the natural equilibrium price is $5 but that is no longer allowed. what happens when there is a binding price ceiling? at a price below the equilibrium price, quantity demanded exceeds quantity supplied. there is a shortage. normally, price increases eliminate shortages by increasing quantity supplied and decreasing quantity demanded. in this case, however, price increases are not allowed past the price ceiling. we therefore predict that the observed market price will be right at the price ceiling and there will be a permanent shortage. the observed quantity bought and sold will be dictated by the quantity supplied at the price ceiling. although consumers would like to buy more, there are no more units for sale

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $