Outline the benefits of creative thinking in the workplace ​

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)? $

The following transactions occurred during july: received $1,000 cash for services provided to a customer during july. received $4,000 cash investment from bob johnson, the owner of the business received $850 from a customer in partial payment of his account receivable which arose from sales in june. provided services to a customer on credit, $475. borrowed $7,000 from the bank by signing a promissory note. received $1,350 cash from a customer for services to be rendered next year. what was the amount of revenue for july?

Abond purchased for $950 was sold for $980 after one year. the interest received during the year is $25. the bond's yield is: