NoreCorp wants to meet a moral minimum of ethical behavior

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)? $

Alicia has a collision deductible of $500 and a bodily injury liability coverage limit of $50,000. she hits another driver and injures them severely. the case goes to trial and there is a verdict to compensate the injured person for $40,000 how much does she pay?

The following information is from the 2019 records of albert book shop: accounts receivable, december 31, 2019 $ 42 comma 000 (debit) allowance for bad debts, december 31, 2019 prior to adjustment 2 comma 000 (debit) net credit sales for 2019 179 comma 000 accounts written off as uncollectible during 2017 15 comma 000 cash sales during 2019 28 comma 500 bad debts expense is estimated by the method. management estimates that $ 5 comma 300 of accounts receivable will be uncollectible. calculate the amount of bad debts expense for 2019.