Bolivia, GDP by Sector, 2012 Bolivia, Labor Force by
Occupation, 2010
Agriculture
Agriculture
Industry
-Industry
Services
Services
Which statement best summarizes the information on these graphs?
Many Bolivians are farmers, but the agriculture sector does not produce much in terms of GDP.
Industry in Bolivia has grown very important to that country's economy in recent years.
Bolivia is investing large sums of money in education in an effort to encourage economic growth.
Bolivia must depend on agriculture if it intends to have a healthy economic future
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< back to assignment attempts: 1 1 keep the highest: 1 / 2 2. determining opportunity cost juanita is deciding whether to buy a suit that she wants, as well as where to buy it. three stores carry the same suit, but it is more convenient for juanita to get to some stores than others. for example, she can go to her local store, located 15 minutes away from where she works, and pay a marked-up price of $102 for the suit: store travel time each way price of a suit (minutes) (dollars per suit) local department store 15 102 across town 30 88 neighboring city 60 65 juanita makes $42 an hour at work. she has to take time off work to purchase her suit, so each hour away from work costs her $42 in lost income. assume that returning to work takes juanita the same amount of time as getting to a store and that it takes her 30 minutes to shop. as you answer the following questions, ignore the cost of gasoline and depreciation of her car when traveling. complete the following table by computing the opportunity cost of juanita's time and the total cost of shopping at each location. store opportunity cost of time price of a suit total cost (dollars) (dollars per suit) (dollars) local department store 102 across town 88 neighboring city 65 assume that juanita takes opportunity costs and the price of the suit into consideration when she shops. juanita will minimize the cost of the suit if she buys it from the . grade it now save & continue continue without saving

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)? $

Dakota products has a production budget as follows: may, 16,000 units; june, 19,000 units; and july, 24,000 units. each unit requires 3 pounds of raw material and 2 direct labor hours. dakota desires to keep an inventory of 10% of the next month’s requirements on hand. on may, 1 there were 4,800 pounds of raw material in inventory. direct labor hours required in may would be: