The objective section of a resume should consist of no more than: A. One to two sentences
B. One page
C. A half-page
D. One paragraph

Salvador county issued $25 million of 5% demand bonds for construction of a county maintenance building. the county has no take-out agreement related to the bonds. it estimates that 20% of the bonds would be demanded (called) by the buyers if interest rates increased at least 1%. at year-end rates on comparable debt were 7%. how should these demand bonds be reported in the government-wide financial statements at year-end? a) $25 million in the long-term liability section of the governmental activities column. b) $5 million in the current liability section of the governmental activities column and $20 million in the long-term liabilities section of the governmental activities column. c) $5 million in the governmental activities column and $20 million would be reported in the schedule of changes in long-term debt obligations. d) $25 million in the current liability section of the governmental activities column

Cool beans is a locally owned coffee shop that competes with two large coffee chains, planeteuro and frothies. alicia, the owner, hired two students to count the number of customers that entered each of the coffee shops to estimate what percent of people who are interested in coffee are visiting each shop. after a week, the students found the following results: 589 visited cool beans, 839 visited planeteuro, and 1,290 visited frothies. the students were surprised that cool beans had 139 visits on monday which represented 59% of all people who visited one of the three coffee shops on mondays. how many people visited one of the three coffee shops during the week?

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)? $