You have decided to buy a car and intend to finance $12,000 of the cost. As with many auto loans, you will be making equal monthly payments for 5 years (which is, incidentally, too long and will result in a lot of interest paid out). The APR is 17%, compounded monthly. What is the size of your monthly car payment?

Amathematical approximation called the rule of 70 tells us that the number of years that it will take something that is growing to double in size is approximately equal to the number 70 divided by its percentage rate of growth. thus, if mexico's real gdp per person is growing at 7 percent per year, it will take about 10 years(=70/7) to double. apply the rule of 70 to solve the following problem. real gdp per person in mexico in 2005 was about $11,000 per person, while it was about $44,000 per person in the u.s. if real gdp per person in mexico grows at the rate of 5 percent per year: how long will it take mexico's real gdp per person to reach the level that the united states was at in 2005? (hint: how many times would mexico's 2005 real gdp per person have to double to reach the u.s.'s 2005 real gdp per person?

Wallis company manufactures only one product and uses a standard cost system. the company uses a predetermined plantwide overhead rate that relies on direct labor-hours as the allocation base. all of the company's manufacturing overhead costs are fixed—it does not incur any variable manufacturing overhead costs. the predetermined overhead rate is based on a cost formula that estimated $2,886,000 of fixed manufacturing overhead for an estimated allocation base of 288,600 direct labor-hours. wallis does not maintain any beginning or ending work in process inventory.

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)? $