Assume the following: The standard price per pound is $2.00. The standard quantity of pounds allowed per unit of finished goods is 4 pounds. The actual quantity of materials purchased and used in production is 50,800 pounds. The actual purchase price per pound of materials was $2.20. The company produced 13,000 units of finished goods during the period. What is the materials price variance

On june 1 of the current year, chad wilson established a business to manage rental property. he completed the following transactions during june: opened a business bank account with a deposit of $28,000 from personal funds. purchased office supplies on account, $2,690. received cash from fees earned for managing rental property, $7,390. paid rent on office and equipment for the month, $3,310. paid creditors on account, $1,230. billed customers for fees earned for managing rental property, $6,130. paid automobile expenses (including rental charges) for the month, $740, and miscellaneous expenses, $370. paid office salaries, $2,330. determined that the cost of supplies on hand was $1,590; therefore, the cost of supplies used was $1,100. withdrew cash for personal use, $2,210. required: 1. indicate the effect of each transaction and the balances after each transaction: for those boxes in which no entry is required, leave the box blank. for those boxes in which you must enter subtractive or negative numbers use a minus sign. (example: -300) answer

What is the difference between secure bonds and naked bonds?

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)? $