The following information is from the Income Statement of the Waterway Laundry Service: Revenues Service Revenues $6240 Expenses Salaries and wages expense $ 2350 Advertising expense 480 Rent expense 290 Supplies expense 190 Insurance expense 100 Total expenses 3410 Net income $2830 The entry to close the Laundry Service Revenue account includes a: debit to Income Summary for $6240. debit to Service Revenue for $6240. credit to Service Revenue for $6240. debit to Retained Earnings for $6240.

4. project memo your supervisor has asked you to create a final copy of a memo announcing a special project. open the microsoft® word file ch01 memo from the data files. edit the memo to correct errors in keyboarding, punctuation, spelling, and word usage. submit the edited document to your instructor along with this assignment. to: department supervisorsfrom: tomas perezdate: january 3, 20--subject: playground projectas you now, are offices are close each year on observance of martin luther king, jr. day. this year, the company is organizing a service project for that day. we will be clean up the grove street playground and panting bushes, blubs, and flowers. the company is donating now playground equiptment and park benches. cleanup gear and tools will be provided, and a cook out will conclude the days’ activities. farther information will be provided as the date draws nearer. encourage the employee in you department too participate in this worthwhile effort.

Diversity is an obstacle all marketers face: true false

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)? $