Two firms compete in a market to sell a homogeneous product with inverse demand function p = 600 – 3q. each firm produces at a constant marginal cost of $300 and has no fixed costs. use this information to compare the output levels and profits in settings characterized by cournot, stackelberg, bertrand, and collusive behavior.

Wallis company manufactures only one product and uses a standard cost system. the company uses a predetermined plantwide overhead rate that relies on direct labor-hours as the allocation base. all of the company's manufacturing overhead costs are fixed—it does not incur any variable manufacturing overhead costs. the predetermined overhead rate is based on a cost formula that estimated $2,886,000 of fixed manufacturing overhead for an estimated allocation base of 288,600 direct labor-hours. wallis does not maintain any beginning or ending work in process inventory.

On january 1, vermont corporation had 40,000 shares of $10 par value common stock issued and outstanding. all 40,000 shares has been issued in a prior period at $20.00 per share. on february 1, vermont purchased 3,750 shares of treasury stock for $24 per share and later sold the treasury shares for $21 per share on march 1. the journal entry to record the purchase of the treasury shares on february 1 would include a credit to treasury stock for $90,000 debit to treasury stock for $90,000 credit to a gain account for $112,500 debit to a loss account for $112,500

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)? $