EstesBal. 200200150TruongBal.0100100GehrkeBal. 100100150WeiserBal. 100100100100Determine the correct amount of the end-of-month posting from the sales journal to the Accounts Receivable control accounAmount of the end-of-month posting from the sales journal to the Accounts Receivable control

Step 1:Identify the Accounts Receivable Subsidiary Ledger Accounts: In the problem, we're given a…

Answered: Estes Bal. 200 200 150 Truong Bal. 0…

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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B. The owner of a small hardware store has noted a sales pattern that seems to parallel the number of break-inns reported each week in newspaper. The 08 02 05 Sales: 50 22 24 18 35 42 13 Break-inns: 9 04 04 06 08 03 7 Estimate sales when break-inns is 7
If the time series data has a significant downward trend, the weighted moving average method tends to the actual quantity. O under-estimate over-estimate
Model most appropriate for making a one-time purchase of an item.
for this table. In other words, the table of data provided does not need a composite primary key. Table 1. Parking Tickets STID LName, FName PhoneNo St Lic LicNo Ticketno Date Code Fine 38249 Brown, Thomas 111-7804 FL BRY 123 15634 09/17/17 2 $25 38249 Brown, Thomas 111-7804 FL BRY 123 16017 09/13/17 1 $15 82453 Green, Sally 391-1689 AL TRE 141 14987 09/05/17 3 $100 82453 Green, Sally 82453 391-1689 AL TRE 141 Green, Sally 391-1689 AL TRE-141 16293 17892 09/18/17 1 $15 09/13/17 2 $25 Please examine the table of data and perform the following tasks: 1. Depict the full key, partial and transitive functional dependencies in the data table using the written notation (e.g., ID →Name, Address);
Month Actual Sales Naive Forecast- Absolute Value of (# of Product X) Sales Errors (# of Product X) Jan/19 Feb/19 Mar/19 Apr/19 May/19 Jun/19 Jul/19 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 Jan/20 1,860 2,033 3,556 4,211 6,250 7,990 10,250 9,850 9,980 9,990 7,895 5,353 - Explain the calculation method for the Naive Forecast model. the faln
The data shown are quarterly revenues (in Sthousands) from Roget's Books from 2013-Q1 through 2020-Q2. 6. Quarter 2013-1 2013-2 2013-3 2013-4 2014-1 2014-2 2014-3 2014-4 2015-1 2015-2 2015-3 2015-4 2016-1 2016-2 2016-3 2016-4 2017-1 2017-2 2017-3 2017-4 Revenue 2372 2740 2518 4708 2392 Quarter 2018-1 2018-2 2018-3 2018-4 2019-1 2019-2 2019-3 2019-4 2020-1 2020-2 Revenue 2725 2924 3118 5112 2777 2949 1:27:04 2811 2685 4795 2812 2893 2848 4894 2687 2903 2674 4871 2844 2933 3237 5350 3035 3028 2791 5252 Click here for the Excel Data File, Data file should open in a new browswer window. Select "File" then "Save As" to download the file to your computer and be able to use it in Excel. a. Determine the regression equation. Regression equation: ŷ = | (Round to 1 decimal places.) b. Determine the specific index for each quarter places.) dexes should be in decimal form (e.g. 1.36 not 136). Rounded to 2 decimal Quarter Quarterly Index Q1 Q2 Q3 Q4 c. What are the estimated sales (forecast) for…
QUESTION TWOGM Motors of Lusaka produces electronic motors for power actuated values for block makers in Lusaka. The GM Motors has been in operational for a year now and Mr. Banda, the plant manager, thinks that the growth in sales will continue for the years to come. Mr. Banda wants to develop a long range forecast to be used to plan facility requirements for the next three years. The sales records for the past ten years have been accumulated; Years Annual Sale (K’000)2007 10002008 13002009 18002010 20002011 20002012 20002013 22002014 26002015 29002016 3200 Required:a) Develop a regression equation for predicting the sales for the electronic motors. b) Use the regression equation to predict the sales for the next three year. c) Find the relationship between the sales and the years. Explain what your finding means. 2. A firm uses simple exponential smoothing with a=0.1…
Part B Three-period Four-period Units Units Demanded Period weighted moving weighted moving Demanded Three-period weighted moving average forecast average forecast average forecast Four-period weighted moving average forecast 24 2 25 60 28 50 49 S50 4 32 26.33 46 4.90 39,80 40 41 5 35 29.50 28.6 38 35 38 32.83 31.7 30 32 28 25 26,93 250 es 7 41 36.00 34.9 24 20 8 46 39.00 38 49 43.00 41.8 10 10 53 46.67 45.4 50.50 49.2 1 2 3 4 5 6 7 8 9 10 11 1. Make a comparative analysis out of your answers in the plotted data. (3-5 sentences)
2. Say whether the following variances are favourable (F) or adverse (A) Variance/ reason for variance machine breakdown non-availability of material illness wage rate increase unforeseen discounts received greater care taken in purchasing change in material standards price increase careless purchasing output produced more quickly than expected because of work motivation better quality of equipment or materials production more than budgeted F/A
Sales in hunderds) of XYX Cc for the previous 7 months are 80, 82. 88, 95, 103, 105 and 122 respectively. Forecast the sales by 4 point moving average method for the forthcoming penod Oa 10260 units Ob 10625 units Oc 11000 units d. 113500 units
Y5
Based on Yahoo! Inc., what can the company/product/service do to survive? What kind of innovation could have been done to keep the company successful? What specific innovation can you think of that can help the company?

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