The consumption equation is represented as C = 250 +0.75YD. Assume that government spending increases by 100 for the economy. Given the above information, we know that equilibrium output will increase by:

Select one:
a. 1000
b. 400.
c. 200.
d. 800

= 400

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.

Harwood company uses a job-order costing system that applies overhead cost to jobs on the basis of machine-hours. the company's predetermined overhead rate of $2.50 per machine-hour was based on a cost formula that estimates $240,000 of total manufacturing overhead for an estimated activity level of 96,000 machine-hours. required: 1. assume that during the year the company works only 91,000 machine-hours and incurs the following costs in the manufacturing overhead and work in process accounts: compute the amount of overhead cost that would be applied to work in process for the year and make the entry in your t-accounts. 2a. compute the amount of underapplied or overapplied overhead for the year and show the balance in your manufacturing overhead t-account. 2b. prepare a journal entry to close the company's underapplied or overapplied overhead to cost of goods sold.

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)? $