The purchasing department at Big Horn Sheep Corporation decided to intentionally increase purchases from small, underdeveloped nations. This decision can be considered:

(A) Illegal
(B) Unethical
(C) Utilitarianism
(D) Ethical Sourcing

Prepare journal entries for each transaction and identify the financial statement impact of each entry. the financial statements are automatically generated based on the journal entries recorded. apr. 1 tanner invested $80,000 cash along with office equipment valued at $26,000 in the company in exchange for common stock.apr. 2 the company prepaid $9,000 cash for 12 months' rent for office space. the company's policy is record prepaid expenses in balance sheet accounts.apr. 3 the company made credit purchases for $8,000 in office equipment and $3,600 in office supplies. payment is due within 10 days.apr. 6 the company completed services for a client and immediately received $4,000 cash.apr. 9 the company completed a $6,000 project for a client, who must pay within 30 days.apr. 13 the company paid $11,600 cash to settle the account payable created on april 3.apr. 19 the company paid $2,400 cash for the premium on a 12-month insurance policy. the company's policy is record prepaid expenses in balance sheet accounts.apr. 22 the company received $4,400 cash as partial payment for the work completed on april 9.apr. 25 the company completed work for another client for $2,890 on credit.apr. 28 the company paid $5,500 cash in dividends.apr. 29 the company purchased $600 of additional office supplies on credit.apr. 30 the company paid $435 cash for this month's utility bill.

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)? $

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