(a) At a product price of $67.00 (b) At a product price of $42.00 (c) At a product price of $33.00 Will this firm produce in the short run? Yes Correct Yes Correct No Correct If it is preferable to produce, what will be the profit-maximizing or loss-minimizing output? output = Not attemptedunits per firm Loss-minimizing Correct output = 6 6 Correct units per firm Not applicable Correct output = 0 0 Correct units per firm What economic profit or loss will the firm realize per unit of output? per unit = $ Not attempted Loss Correct per unit = $ 5.4 5.4 Incorrect Total loss Correct = $

What is an example of a good stock to buy during economic expansion? a) cyclical stock b) defensive stock c) income stock d) bond

Keshawn used to work for an it company in baltimore, but lost his job when his company decided to use workers in new delhi instead. this is an example of:

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 .