Amarketing department at a large international organization is engaged in the statistical analysis and compilation of information on users who logged into the organization's website and made purchases within the last year. the marketing department may be using big data to

John is a 45-year-old manager who enjoys playing basketball in his spare time with his teenage sons and their friends. at work he finds that he is better able to solve problems that come up because of his many years of experience, but while on the court, he finds he is not as good keeping track of the ball while worrying about the other players. john's experience is:

Laurelton heating & cooling installs and services commercial heating and cooling systems. laurelton uses job costing to calculate the cost of its jobs. overhead is allocated to each job based on the number of direct labor hours spent on that job. at the beginning of the current year, laurelton estimated that its overhead for the coming year would be $ 61 comma 500. it also anticipated using 4 comma 100 direct labor hours for the year. in april comma laurelton started and completed the following two jobs: (click the icon to view the jobs.) laurelton paid a $ 20-per-hour wage rate to the employees who worked on these two jobs. read the requirements requirement 1. what is laurelton's predetermined overhead rate based on direct labor hours? determine the formula to calculate laurelton's predetermined overhead rate based on direct labor hours, then calculate the rate. / = predetermined overhead rate

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)? $