All sellers may be tempted to raise the price of what they sell, but an unintended effect of raising the price could be in units sold large enough to their total revenue.

During the first month of operations, martinson services, inc., completed the following transactions: jan 2 martinson services received $65,000 cash and issued common stock to the stockholders. 3 purchased supplies, $1,000, and equipment, $12,000, on account. 4 performed services for a customer and received cash, $5,500. 7 paid cash to acquire land, $39,000. 11 performed services for a customer and billed the customer, $4,100. martinson expects to collect within one month 16 paid for the equipment purchased january 3 on account. 17 paid for newspaper advertising, $600. 18 received partial payment from customer on account, $2,000. 22 paid the water and electricity bills, $430. 29 received $2,600 cash for servicing the heating unit of a customer. 31 paid employee salary, $2,900. 31 declared and paid dividends of $1,800. requirements 1. record each transaction in the journal. key each transaction by date. explanations are not required. 2. post the transactions to the t-accounts, using transaction dates as posting references. label the ending balance of each account bal, as shown in the chapter. 3. prepare the trial balance of martinson services, inc., at january 31 of the current year. 4. mark martinson, the manager, asks you how much in total resources the business has to work with, how much it owes, and whether january was profitable (and by how much)?

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)? $

Companies in the u.s. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. in 2011 hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. the following data show the number of cars in service (1000s) and the annual revenue ($ millions) for six smaller car rental companies (auto rental news website, august 7, 2012). excel file: data14-09.xls if required, enter negative values as negative numbers. a. select a scatter diagram with the number of cars in service as the independent variable. b. what does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. use the least squares method to develop the estimated regression equation (to 3 decimals). ŷ = + x d. for every additional car placed in service, estimate how much annual revenue will change. by $ e. fox rent a car has 11,000 cars in service. use the estimated regression equation developed in part (c) to predict annual revenue for fox rent a car. round your answer to nearest whole value. $ million hide feedback partially correct