On December 31, 2016, Alsfeld Company had a $122,550 balance in Accounts Receivable. During the year 2017, the company collected $200,000 from its credit customers. The December 31, 2017 balance of the Accounts Receivable was $170,650.

Determine the amount of sales on accounts for 2017.

what is the right answer?

A. $156,000
B. $248,100
C. $253,100
D. $156,900

Which of the following best describes how the federal reserve bank banks during a bank run? a. the federal reserve bank has the power to take over a private bank if customers demand too many withdrawals. b. the federal reserve bank can provide a short-term loan to banks to prevent them from running out of money. c. the federal reserve bank regulates exchanges to prevent the demand for withdrawals from rising above the required reserve ratio. d. the federal reserve bank acts as an insurance company that pays customers if their bank fails. 2b2t

Which statement below best describes george waring's approach to solving the problems of water-borne illness? a. waring is going with his "gut," because he believes that instincts and emotions are the best guides for action. b. waring efficiently and thoroughly lays out the case for why the problems are too large and overwhelming to be solved: people should just move out of cities back to their farms. c. waring has gathered the testimonies of people who live in densely populated areas in order to learn how they themselves have solved their problems. d. waring exhibits the industrial age's increased respect for and reliance on science and the scientific method.

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)? $