F. Marston, Inc. has developed a forecasting model to estimate its AFN for the upcoming year. All else being equal, which of the following factors is most likely to lead to an increase of the additional funds needed (AFN)? a. A switch to a just-in-time inventory system and outsourcing production. b. The company switches its materials purchases to a supplier that offers a longer credit period (with all other terms held equal). c. A sharp increase in its forecasted sales. d. The company reduces its dividend payout ratio. e. The company discovers that it has excess capacity in its fixed assets.

Which of the following is not a personality trait? sincerity word processing punctuality laziness

Nichols inc. manufactures remote controls. currently the company uses a plantminuswide rate for allocating manufacturing overhead. the plant manager is considering switchingminusover to abc costing system and has asked the accounting department to identify the primary production activities and their cost drivers which are as follows: activities cost driver allocation rate material handling number of parts $5 per part assembly labor hours $20 per hour inspection time at inspection station $10 per minute the current traditional cost method allocates overhead based on direct manufacturing labor hours using a rate of $20 per labor hour. what are the indirect manufacturing costs per remote control assuming an method is used and a batch of 10 remote controls are produced? the batch requires 100 parts, 5 direct manufacturing labor hours, and 3 minutes of inspection time.

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)? $