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forecasting techniques

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An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear

trend equation and the naive approach. The linear trend equation is Ft = 127 + 2.0t, and it was developed using data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2 decimal places.)

 
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Determine a linear trend line for expected freight car loadings

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 a.Determine a linear trend line for expected freight car loadings. (Round your intermediate calculations and final answers to 2 decimal places.)   
     =  +  t     
 b.Use the above trend equation to predict expected loadings for Weeks 20 & 21. (Round your final answers to 2 decimal places.)   
  The forecasted demand for Week 20 is  and for Week 21 is  .    
 c.The manager intends to install new equipment when the volume exceeds 970 loadings per week. Assuming the current trend continues, in which week (at the earliest) should the loading volume reach that level?  (Use the rounded answers, as required, from any previous part of this problem.  Do not round any other intermediate calculations.  Round your final answer to 2 decimal places.)    
 

 
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current APA format

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Using the scenario below, write a paper of at least 500 words and in current APA format that is supported by 2

peer-reviewed, scholarly references and 1 instance of biblical integration.

You have just been named the first marketing director of the Bay Area Accountable Health System. For 15 years, you served as the marketing and strategic planning director at Oakland Alameda regional Hospital, a 250-bed inpatient facility with a busy emergency department and one outpatient primary care satellite. The board of your new employer has asked you to provide a brief overview of the 5 major aspects of your first-year marketing plan to the community that will differentiate it as an ACS from other hospitals in the Bay Area.

 
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BUSI 320 Comprehensive Problem 1

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<p>I need the problems done in word and excel. Here are the instructions: BUSI 320 Comprehensive Problem 1

<br />Use the following information to answer the questions on page 2 below: <br />(Note: all sales are credit sales)<br /><br />Income Stmt info:20152016<br />Sales $ 1,000,000 $ 1,050,000 <br />less Cost of Goods Sold: 400,000 424,000 <br />Gross Profit 600,000 626,000 <br />Operating Expenses 350,000 365,750 <br />Earnings before Interest &amp; Taxes 250,000 260,250 <br />Interest exp 25,000 25,500 <br />Earnings before Taxes 225,000 234,750 <br />Taxes 90,000 93,900 <br />Net Income $ 135,000 $ 140,850 <br /><br />Balance Sheet info:12/31/201512/31/2016<br /> Cash 25,000 $ 30,000 <br /> Accounts Receivable 50,000 $ 51,000 <br /> Inventory 125,000 $ 137,500 <br />Total Current Assets $ 200,000 $ 218,500 <br />Fixed Assets (Net) $ 300,000 $ 315,000 <br />Total Assets $ 500,000 $ 533,500 <br /><br />Current Liabilities $ 110,000 $ 117,700 <br />Long Term Liabilities $ 180,000 $ 183,000 <br />Total Liabilities $ 290,000 $ 300,700 <br />Stockholder’s Equity $ 210,000 $ 232,800 <br />Total Liab &amp; Equity: $ 500,000 $ 533,500 <br /><br /><br /><br /><br /><br /><br /><br />Compute each of the following ratios for 2015 and 2016, and <br /> indicate whether each ratio was getting “better” or “worse” from 2015 to 2016<br /> and was “good” or “bad” compared to the Industry Avg in 2016.<br /> (Round all numbers to 2 digits past the decimal place.)<br /><br />20152016Getting Better or Getting Worse?2016 Industry Avg “Good” or “Bad” compared to Industry Avg<br />Profit Margin0.11<br />Current Ratio1.90<br />Quick Ratio0.66<br />Return on Assets.28<br />Debt to Assets.50<br />Receivables turnover18.00<br />Avg. collection period*21.20<br />Inventory Turnover**8.25<br />Return on Equity0.55<br />Times Interest Earned11.15<br /><br />*Assume a 360-day year<br />**Inventory Turnover can be computed 2 different ways. Use the formula listed in the text <br /> (the one the text indicates many credit reporting agencies generally use).

 
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