Streif Inc., a local retailer, has provided the following data for the month of June: Merchandise inventory, beginning balance
Merchandise inventory, ending balance
Sales
Purchases of merchandise inventory
Selling expense
Administrative expense
$ 46,000
$ 52,000
$ 260,000
$ 128,000
$ 13,000
$ 40,000
4
The net operating income for June was:
Multiple Choice
$132,000
$126,000
$85,000

Jurvin enterprises is a manufacturing company that had no beginning inventories. a subset of the transactions that it recorded during a recent month is shown below. $76,700 in raw materials were purchased for cash. $71,400 in raw materials were used in production. of this amount, $66,300 was for direct materials and the remainder was for indirect materials. total labor wages of $151,700 were incurred and paid. of this amount, $134,300 was for direct labor and the remainder was for indirect labor. additional manufacturing overhead costs of $126,300 were incurred and paid. manufacturing overhead of $126,800 was applied to production using the company's predetermined overhead rate. all of the jobs in process at the end of the month were completed. all of the completed jobs were shipped to customers. any underapplied or overapplied overhead for the period was closed to cost of goods sold.required: 1. post the above transactions to t-accounts.2. determine the cost of goods sold for the period.

You are frustrated to find that the only way to contact the customer service department is to make a phone call. the number listed would result in long distance charges to your phone bill. which issue should be addressed by the company to keep its crm in line with your expectations?

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)? $