Advantages of Mendeleev periodic table

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)? $

Suppose the number of equipment sales and service contracts that a store sold during the last six (6) months for treadmills and exercise bikes was as follows: treadmill exercise bike total sold 185 123 service contracts 67 55 the store can only sell a service contract on a new piece of equipment. of the 185 treadmills sold, 67 included a service contract and 118 did not.

Frolic corporation has budgeted sales and production over the next quarter as follows. the company has 4100 units of product on hand at july 1. 10% of the next months sales in units should be on hand at the end of each month. october sales are expected to be 72000 units. budgeted sales for september would be: july august september sales in units 41,500 53,500 ? production in units 45,700 53,800 58,150