The underlying reason that Nissan Motor Company, an organizational buyer, switched its advertising agency was to allow employees to become more involved in promotional aspects of the company. to increase revenues. to streamline decision making. to reconnect with former customers.

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Presented below is a list of possible transactions. analyze the effect of the 18 transactions on the financial statement categories indicated. transactions assets liabilities owners’ equity net income 1. purchased inventory for $80,000 on account (assume perpetual system is used). 2. issued an $80,000 note payable in payment on account (see item 1 above). 3. recorded accrued interest on the note from item 2 above. 4. borrowed $100,000 from the bank by signing a 6-month, $112,000, zero-interest-bearing note. 5. recognized 4 months’ interest expense on the note from item 4 above. 6. recorded cash sales of $75,260, which includes 6% sales tax. 7. recorded wage expense of $35,000. the cash paid was $25,000; the difference was due to various amounts withheld. 8. recorded employer’s payroll taxes. 9. accrued accumulated vacation pay. 10. recorded an asset retirement obligation. 11. recorded bonuses due to employees. 12. recorded a contingent loss on a lawsuit that the company will probably lose. 13. accrued warranty expense (assume expense warranty approach). 14. paid warranty costs that were accrued in item 13 above. 15. recorded sales of product and related service-type warranties. 16. paid warranty costs under contracts from item 15 above. 17. recognized warranty revenue (see item 15 above). 18. recorded estimated liability for premium claims outstanding.

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)? $