Here is the ledger for Blossom Company. Cash
Oct. 1 8,660 Oct. 4 2,060
Oct. 10 2,640 Oct. 12 3,160
Oct. 10 9,660 Oct. 15 360
Oct. 20 810 Oct. 30 410
Oct. 25 3,660 Oct. 31 610

Accounts Receivable
Oct. 6 910 Oct. 20 810
Oct. 20 1,030

Supplies
Oct. 4 2,060 Oct. 31 1,840
Equipment
Oct. 3 4,660
Notes Payable
Oct. 10 9,660

Accounts Payable
Oct. 12 3,160 Oct. 3 4,660
Common Stock
Oct. 1 8,660
Oct. 25 3,660

Dividends
Oct. 30 410
Service Revenue
Oct. 6 910
Oct. 10 2,640
Oct. 20 1,030
Salaries and Wages Expense
Oct. 31 610
Supplies Expense
Oct. 31 1,840
Rent Expense
Oct. 15 360

Required:
Reproduce the journal entries for only the transactions that occurred on October 1, 10, and 20.
b. Prepare a trial balance at October 31.

Afreelance​ singer-songwriter is planning the restoration of a recently purchased civil​ war-era farmhouse. while he professes an enjoyment​ of, and talent in the construction​ trades, the theory of comparative advantage implies that a. the value of what he imports​ (in this​ case, professional contractor​ services) must equal the value of what he exports​ (songs). b. he should concentrate on the restoration work since his​ out-of-pocket costs will be much lower than if he hires professionals. c. ​self-sufficiency is​ advantageous, hence he should split his time between music and construction. d. the income lost while away from music will likely exceed the savings realized by doing the work​ himself, thus, he should hire professionals to do the restoration work. e. he ought to do as much of the work himself as possible since imports​ (in this​ case, professional contractor​ services) should always be restricted to those things that cannot be done internall

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)? $

You decide to invest in a portfolio consisting of 25 percent stock a, 25 percent stock b, and the remainder in stock c. based on the following information, what is the expected return of your portfolio? state of economy probability of state return if state occurs of economy stock a stock b stock c recession .16 - 16.4 % - 2.7 % - 21.6 % normal .55 12.6 % 7.3 % 15.9 % boom .29 26.2 % 14.6 % 30.5 %