Minor Company installs a machine in its factory at the beginning of the year at a cost of $135,000. The machine's useful life is estimated to be 5 years, or 300,000 units of product, with a $15,000 salvage value. During its first year, the machine produces 64,500 units of product. Determine the machines' first year depreciation under the straight-line method. Multiple Choice $27,000. $29,025. $23,779. $24,000. $25,800.

Which of the following is false regarding the links between jit and quality? a. jit increases the cost of obtaining good quality. b. as quality improves, fewer inventory buffers are needed; in turn, jit performs better. c. jit reduces the number of potential sources of error by shrinking queues and lead times. d. inventory hides bad quality; jit immediately exposes it. e. if consistent quality exists, jit allows firms to reduce all costs associated with inventory.

Apharmaceutical packaging company (ppc) has decided to reorganize its processes into cells. the company has four different production operations, each requiring a unique piece of equipment. the names and functions of the four pieces of equipment are sort, count, place, and package. the company packages five different families of products (a, b, c, d, and e). the tables below indicate the demand (total units/day by product family), required operations, and operation cycle times for each product family. assume that any individual piece of equipment is available to operate 16 hours/day, but 2 hours (in total) are lost each day on each piece of equipment due to breaks and meetings when operators are not available to operate the equipment. how many minutes/day are available for production

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)? $