The Hartman Boat Company's bank statement for the month of November showed a balance per bank of $7,000. The company's Cash account in the general ledger had a balance of $5,659 at November 30. Other information is as follows: 1. Cash receipts for November 30 recorded on the company's books were $6,000 but this amount does not appear on the bank statement.
2. The bank statement shows a debit memorandum for $40 for check printing charges.
3. Check No. 119 payable to Maris Company was recorded in the cash payments journal and cleared the bank for $248. A review of the accounts payable subsidiary ledger shows a $36 credit balance in the account of Maris Company and that the payment to them should have been for $284.
4. The total amount of checks still outstanding at November 30 amounted to $5,800.
5. Check No. 138 was correctly written and paid by the bank for $409. The cash payment journal reflects an entry for Check No. 138 as a debit to Accounts Payable and a credit to Cash in Bank for $490.
6. The bank returned an NSF check from a customer for $560.
7. The bank included a credit memorandum for $2,060 which represents collection of a customer's note by the bank for the company; principal amount of the note was $2,000 and interest was $60. Interest has not been accrued.

Required:
a. Prepare a bank reconciliation for the Hartman Boat Company at November 30.
b. Prepare any adjusting entries necessary as a result of the bank reconciliation.

The market price of cheeseburgers in a college town increased recently, and the students in an economics class are debating the cause of the price increase. some students suggest that the price increased because the price of beef, an important ingredient for making cheeseburgers, has increased. other students attribute the increase in the price of cheeseburgers to a recent increase in college student enrollment.1. the first group of students thinks the increase in the price of cheeseburgers is due to the fact that the price of beef, an important ingredient for making cheeseburgers, has increased. (what happened to demand and supply, shift to the right or left)2. the second group of students attributes the increase in the price of cheeseburgers to the increase in college student enrollment. (what happens to demand and supply, shift to the right or left)3. suppose that both of the events you analyzed above are partly responsible for the increase in the price of cheeseburgers. based on your analysis of the explanations offered by the two groups of students, how would you figure out which of the possible causes was the dominant cause of the increase in the price of cheeseburgers? (choose a, b,c, or d)a)if the price increase was small, then the supply shift in the market for cheeseburgers must have been larger than the demand shift.b)if the equilibrium quantity of cheeseburgers decreases, then the demand shift in the market for cheeseburgers must have been larger than the supply shift.c)if the equilibrium quantity of cheeseburgers decreases, then the supply shift in the market for cheeseburgers must have been larger than the demand shift.d)whichever change occurred first must have been the primary cause of the change in the price of cheeseburgers.

Jennifer purchased a house in a brand new development in the outskirts of town. when her house was built, the nearest fire department was nearly 20 miles away. as her neighborhood developed, the density of the community called for a new fire department 1.5 miles away. what effect will the new fire station have on her homeowners insurance premium? a. a new fire department will be more demanding on local taxes. her annual premium will go up. b. the location of a fire department has no bearing on the value of her house. her annual premium will stay the same. c. the new fire department will reduce the risk of financial loss in her home. her annual premium should decrease. d. with a fire department so close (less than 5 miles), financial risk on jennifer’s home practically disappears. she will not need to pay insurance anymore.

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)? $