The Puyer Corporation makes and sells only one product called a Deb. The company is in the process of preparing its Selling and Administrative Expense Budget for next year. The following budget data are available: Monthly Fixed Cost Variable Cost Per Deb Sold Sales commissions $ 0.95 Shipping $ 1.45 Advertising $ 50,500 $ 0.25 Executive salaries $ 60,500 Depreciation on office equipment $ 20,500 Other $ 40,500 All of these expenses (except depreciation) are paid in cash in the month they are incurred. If the company has budgeted to sell 15,500 Debs in February, then the total budgeted fixed selling and administrative expenses for February is:

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)? $

Acompany recorded a check in its accounting records as $87. however, the check was actually written for $78 and it cleared the bank as $78. what adjustment is needed to the personal statement? a. decrease by $9 b. increase by $9 c. decrease by $18 d. increase by $9

Vendors provide restaurants with what? o a. cooked items ob. raw materials oc. furniture od. menu recipes