On december 31, 2018, coolwear inc. had balances in accounts receivable and allowance for uncollectible accounts of $48,400 and $940, respectively. during 2019, coolwear wrote off $820 in accounts receivable and determined that there should be an allowance for uncollectible accounts of $1,140 at december 31, 2019. bad debt expense for 2019 would be: a. $320b. $1,140c. $820d. $1,020

1tanner invested $135,000 cash along with office equipment valued at $32,400 in the company in exchange for common stock. 2 the company prepaid $7,200 cash for 12 months’ rent for office space. (hint: debit prepaid rent for $7,200.) 3 the company made credit purchases for $16,200 in office equipment and $3,240 in office supplies. payment is due within 10 days. 6 the company completed services for a client and immediately received $2,000 cash. 9 the company completed a $10,800 project for a client, who must pay within 30 days. 13 the company paid $19,440 cash to settle the account payable created on april 3. 19 the company paid $6,000 cash for the premium on a 12-month insurance policy. (hint: debit prepaid insurance for $6,000.) 22 the company received $8,640 cash as partial payment for the work completed on april 9. 25 the company completed work for another client for $2,640 on credit. 28 the company paid $6,200 cash in dividends. 29 the company purchased $1,080 of additional office supplies on credit. 30 the company paid $700 cash for this month’s utility bill. prepare general journal entries to record these transactions. 2. post the journal entries from part 1 to the ledger accounts.

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)? $

Experienced problem solvers always consider both the value and units of their answer to a problem. why?