Milo company manufactures beach umbrellas. the company is preparing detailed budgets for the third quarter and has assembled the following information to assist in the budget preparation: a. the marketing department has estimated sales as follows for the remainder of the year (in units): the selling price of the beach umbrellas is $14 per unit. july 41,500 october 31,500 august 93,000 november 18,000 september 62,000 december 18,500 b. all sales are on account. based on past experience, sales are collected in the following pattern: 30% in the month of sale 65% in the month following sale 5% uncollectible sales for june totaled $588,000.

Refer to the payoff matrix. suppose that speedy bike and power bike are the only two bicycle manufacturing firms serving the market. both can choose large or small advertising budgets. is there a nash equilibrium solution to this game?

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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)? $