Define the 8 steps in the engineering design process

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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)? $

This year, druehl, inc., will produce 60 comma 000 hot water heaters at its plant in delaware, in order to meet expected global demand. to accomplish this, each laborer at the plant will work 200 hours per month. if the labor productivity at the plant is 0.25 hot water heaters per labor hour, how many laborers are employed at the plant? number of laborers employed by the plant = nothing laborers (round your answer to the nearest whole number).