Advanced analysis assume the following values for the figures below: q1 = 20 bags. q2 = 15 bags. q3 = 27 bags. the market equilibrium price is $45 per bag. in figure (a), the price at point a is $85 per bag. the price at point c is $5 per bag. the price at point d is $55 per bag, and the price at point e is $35 per bag. in figure (b), the price at point f is $59 per bag. the price at point g is $31 per bag. values for points a, b, and c are the same as in figure (a). apply the formula for the area of a triangle (area = ½ × base × height) to answer the following questions. a. what is the dollar value of the total surplus (producer surplus plus consumer surplus) when the allocatively efficient output level q1 is being produced? $ . how large is the dollar value of the consumer surplus at the output level q1? $ . b. what is the dollar value of the deadweight loss when output level q2 is being produced? $ . what is the total surplus when output level q2 is being produced? $ . c. what is the dollar value of the deadweight loss when output level q3 is produced? $ . what is the dollar value of the total surplus when output level q3 is produced? $

Which of the following is located at the point where the supply and demand curves intersect? a. the equilibrium price. b. the minimum supply. c. the level of efficient production. d. the maximum demand. 2b2t

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .

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