Imagine you are a CEO of Mitsubishi Motors and currently involved in planning phase. Identify five major external factors that you think will deeply impact your organization in the automotive industry one way or the other and explain each of them.

Ben collins plans to buy a house for $166,000. if the real estate in his area is expected to increase in value by 2 percent each year, what will its approximate value be five years from now?

Miko willingly admits that she is not an accountant by training. she is concerned that her balance sheet might not be correct. she has provided you with the following additional information. 1. the boat actually belongs to miko, not to skysong, inc.. however, because she thinks she might take customers out on the boat occasionally, she decided to list it as an asset of the company. to be consistent, she also listed as a liability of the corporation her personal loan that she took out at the bank to buy the boat. 2. the inventory was originally purchased for $27,500, but due to a surge in demand miko now thinks she could sell it for $39,600. she thought it would be best to record it at $39,600. 3. included in the accounts receivable balance is $11,000 that miko loaned to her brother 5 years ago. miko included this in the receivables of skysong, inc. so she wouldn’t forget that her brother owes her money. (b) provide a corrected balance sheet for skysong, inc.. (hint: to get the balance sheet to balance, adjust stockholders’ equity.) (list assets in order of liquidity.)

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)? $