One question you can expect to be asked during an interview is how did you get here would you like a drink why do you want to work for this company all the above

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)? $

Which of the following best explains why buying a house is more beneficial than renting? a. buying is a personal investment while renting involves giving money to the landlord. b. the monthly payments on a mortgage are generally lower than rent on an apartment. c. it's easier to sell a house than it is to get a landlord to break a rental agreement. d. housing prices can go up and down quickly in comparison to the level of rents.

Which of the following tends to result in a decrease in the selling price of houses in an area? a. an increase in the population of the city or town. b. an increase in the labor costs of construction. c. an increase in the income of new residents in the city or town. d. an increase in mortgage interest rates.