Dewey dare is a production and operations manager with a clothing manufacturer. he has been looking into a system that will enable his company to take measurements from a customer and program machines to design and produce custom-cut clothes at little additional cost. this type of system is an example of the benefits of:

When an interest-bearing note comes due and is uncollectible, the journal entry includes debiting

Accublade castings inc. casts blades for turbine engines. within the casting department, alloy is first melted in a crucible, then poured into molds to produce the castings. on may 1, there were 230 pounds of alloy in process, which were 60% complete as to conversion. the work in process balance for these 230 pounds was $32,844, determined as follows: exercises during may, the casting department was charged $350,000 for 2,500 pounds of alloy and $19,840 for direct labor. factory overhead is applied to the department at a rate of 150% of direct labor. the department transferred out 2,530 pounds of finished castings to the machining department. the may 31 inventory in process was 44% complete as to conversion. prepare the following may journal entries for the casting department: the materials charged to production the conversion costs charged to production the completed production transferred to the machining department determine the work in process"casting department may 31 balance.

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)? $