Caitlin has finished her schooling and training to be a dental hygienist. She has two job offers that she is considering. Caitlin’s Job Offer Comparison Job 1: Albuquerque, NM Job 2: Ann-Arbor, MI Salary $54,000 $61,000 Benefits $2,500 bonuses, health insurance, 401K Health insurance, 401K Average Monthly Rent & Utilities $925 $1,300 Which job would offer the best annual income considering the cost of living in each locale? Job 2 is a better choice because the annual income after rent and utilities is $59,700 but that of job 1 is $55,575. Job 2 is a better choice because the annual income after rent and utilities is $45,400 but the income for job 1 is $41,900. Job 1 is a better choice because it costs $4,500 less per year to live there. The jobs have equal annual incomes of $45,400 after rent and utilities so Caitlin should take the job in her favorite locale.

Afreezer manufacturer might purchase sheets of steel, wiring, shelving, and so forth, as part of its final product. this is an example of what sub-classification of business market?

Job a3b was ordered by a customer on september 25. during the month of september, jaycee corporation requisitioned $2,400 of direct materials and used $3,900 of direct labor. the job was not finished by the end of the month, but needed an additional $2,900 of direct materials in october and additional direct labor of $6,400 to finish the job. the company applies overhead at the end of each month at a rate of 100% of the direct labor cost. what is the amount of job costs added to work in process inventory during october?

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)? $