For the following scenario, calculate the surplus and indicate if it is a producer surplus or a consumer surplus. alice is willing to spend $30 on a pair of jeans, and has a coupon for $10 off she found online. she selects and purchases a $35 pair of jeans, pre-discount.
alice's
a) consumer
b) producer

The plastic flowerpots company has two manufacturing departments, molding and packaging. at the beginning of the month, the molding department has 2,100 units in inventory, 70% complete as to materials. during the month, the molding department started 18,500 units. at the end of the month, the molding department had 3,150 units in ending inventory, 80% complete as to materials. units completed in the molding department are transferred into the packaging department. cost information for the molding department for the month follows: beginning work in process inventory (direct materials) $ 1,300 direct materials added during the month 28,900 using the weighted-average method, compute the molding department's (a) equivalent units of production for materials and (b) cost per equivalent unit of production for materials for the month. (round "cost per equivalent unit of production" to 2 decimal places.)

Eileen's elegant earrings produces pairs of earrings for its mail order catalogue business. each pair is shipped in a separate box. she rents a small room for $150 a week in the downtown business district that serves as her factory. she can hire workers for $275 a week. there are no implicit costs. what is the marginal product of the second worker?

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)? $