The number of hospitals in the United States has been decliningfor many years. In 1990, there were 6155 hospitals; but in 2010,there were only 4985.Assuming that this trend is linear, use t (years since 2000) and N(number of hospitals in the United States). According to yourmodel, what is the number of hospitals in the United States in2016? {Your final answer will be number only}

* Introduction- The given information includes- - The number of Hospitals present in the United…

Answered: The number of hospitals in the United…

Principles Of Marketing

17th Edition

ISBN:9780134492513

Author:Kotler, Philip, Armstrong, Gary (gary M.)

Publisher:Kotler, Philip, Armstrong, Gary (gary M.)

Chapter1: Marketing: Creating Customer Value And Engagement

Section: Chapter Questions

Problem 1.1DQ

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Sales of Volkswagens have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Q Year 1 2 3 4 5 a) Forecasted sales for year 6 using the trend projection (linear regression) method are Sales 455 510 518 575 590 sales (round your response to one decimal place).
The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: CASES OF MERLOT WINE 276 362 YEAR 2005 2006 2007 2008 2009 2010 2011 2012 404 462 364 506 416 382 Using an exponential smoothing model with an alpha value of 0.30, estimate the smoothed value calculated as of the end of 2012. Use the average demand for 2005 through 2007 as your initial forecast for 2008, and then smooth the forecast forward to 2012. (Round your intermediate calculations and final answer to the nearest whole number.) Answer is complete but not entirely correct. Forecast for 2012 372
5-41 The following table provides the Dow Jones Industrial Average (DJIA) opening index value on the first working day of 1994–2013. Develop a trend line and use it to predict the opening DJIA index value for years 2014, 2015, and 2016. Find the MSE for this model.
The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: YEAR CASES OFMERLOT WINE 2005 321 2006 407 2007 449 2008 507 2009 409 2010 551 2011 461 2012 427 Using an exponential smoothing model with an alpha value of 0.30, estimate the smoothed value calculated as of the end of 2012. Use the average demand for 2005 through 2007 as your initial forecast for 2008, and then smooth the forecast forward to 2012.
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year 1 2 3 4 5 Sales 460 502 520 575 575 a) Forecasted sales for year 6 using the trend projection (linear regression) method are sales (round your response to one decimal place).
Sales of a particular product for the years 2017 through 2020 have been 43,466, 63,848, 51,112 and 79,210 respectively. What sales would you predict for 2021 using a simple four-year moving average?
If the forecast and the actual demand in the year 2021 was 600 and 700 respectively, what is the forecast for the year 2022 according to the naive forecasting method? 600 700 650 800
Using linear regression analysis, what would you estimate demand to be for each month next year? Month Forecast January February March April May June July August September October November December
The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: Year Mileage miles (round your response to the nearest whole number). a) Using a 2-year moving average, the forecast for year 6 = 1 3,050 2 4,000 3 3,450 4 3,750 5 3,750
After using your forecasting model for six months, you decide to test it using a tracking signal. Here are the forecast and actual demands for the six-month period: PERIOD FORECAST ACTUAL May 450 500 June 500 550 July 550 400 August 600 500 September 650 675 October 700 600 Find the tracking signal of each month
Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Quarter Winter Year 1 Spring Year 1 Summer Year 11 Fall Year 1 Guests (in thousands) 68 99 149 75 65 84 Quarter Summer Year 2 Fall Year 2 Winter Winter Year 3 Spring Year 3 Summer Year 3 Fall Year 3 Guests (in thousands) 120 51 99 151 Winter Year 2 207 Spring Year 2 97 Based on the given attendance, the seasonal indices for each of the seasons are (round your responses to three decimal places): Season Index
Consider the table below which represents the number of active credit card accounts issued by a small credit union in a particular customer segment from 1994 to 2017 and a relevant forecast method. Time Credit cards A B abs sq abs% err 1994 13260 13260 60 1995 13310 13319 60 10 10 97 0.0007 1996 13383 13379 60 13379 4 4 20 0.0003 1997 13427 13438 59 13439 12 12 149 0.0009 1998 13455 13493 58 13497 42 42 1743 0.0031 1999 13520 13548 57 13551 31 31 962 0.0023 2000 13663 13611 59 13605 -58 58 3360 0.0042 2001 13717 13675 60 13670 47 47 2220 0.0034 2002 13753 13737 61 13735 -17 17 296 0.0013 2003 13792 13798 61 13798 6 6 37 0.0004 2004 13858 13858 61 13858 1 1 0.0000 2005 13915 13919 61 13919 4 4 13 0.0003 2006 13966 13978 60 13979 13 13 177 0.0010 2007 14017 14036 60 14038 21 21 450 0.0015 2008 13945 14081 55 14096 151 151 22852 0.0108 2009 14008 14123 51 14136 128 128 16382 0.0091 2010 14076 14164 48 14174 98 98 9658 0.0070 2011 14122 14204 46 14213 90 90 8128 0.0064 2012 14164 14241 43…

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