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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)? $

Jack manufacturing company had beginning work in process inventory of $8,000. during the period, jack transferred $34,000 of raw materials to work in process. labor costs amounted to $41,000 and overhead amounted to $36,000. if the ending balance in work in process inventory was $12,000, what was the amount transferred to finished goods inventory?

Suppose that the firm cherryblossom has an orchard they are willing to sell today. the net annual returns to the orchard are expected to be $50,000 per year for the next 20 years. at the end of 20 years, it is expected the land will sell for $30,000. calculate the market value of the orchard if the market rate of return on comparable investments is 16%.