Consider the following monthly sales data for a company:Jan-2015 147772Feb-2015 144335Mar-2015 163943Apr-2015 169634May-2015 175371Jun-2015 174825Jul-2015 176995Aug-2015 176208Sep-2015 170202Oct-2015 175510Nov-2015 180364Dec-2015 217629Jan-2016 154400Feb-2016 155596Mar-2016 183782Apr-2016 181209May-2016 186359Jun-2016 189244Jul-2016 184978Aug-2016 192925Using the method of moving averages over 2 months, which month in 2016 matches the predicted value the worst?O MayJuneJulyJanuary2

We have given the monthly sales data for a company.…

Answered: Consider the following monthly sales…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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6. Present the following data by a suitable diagram showing. The sales and net profits of a private company. Year Sales Net Profits 1998-1999 14% 49% 1999-2000 10% -25% 2000-2001 13% -1% es ehsinar wer lo
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Plot 2 Out-of-State Tuition 20000 15000 10000 5000 Plot 2: Distribution of Out-of-State Tuition Based on Expenditure Category Above Average Expenditure Expenditure Category Below Average Expenditure
The following table shows the average monthly production of coal in tonnes for the Year Production Year Production (in tonnes) (in tonnes) 50.0 38.1 36.5 43.0 2010 2011 2012 2013 2014 44.5 38.9 2015 2016 2017 2018 2019 32.6 41.7 41.1 33.8 year 2010-2019. a) Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 017. c) What is the percentage (%) change in the production from 2016 to 2019?
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Q. 4.
Compute 3-yearly moving averages of the following data assuming the length Of business cycle as 3 year period and plot the trend va year Annual sales in $ '000 1990 40 1991 42 1590 46 1993 44 1994 49 1995 46 1996 42 1997 44 1998 50
The following table gives the U.S. national debt for selected years from 1900 to 2013. U.S. Debt ($ billions) 3233 5225 Year 1900 1910 1920 1930 1940 1945 1955 1965 1975 1965 U.S. Debt ($ billions) 1 1 24 16 43 259 273 314 533 1823 Year 1990 1996 2000 2005 2009 2010 2011 2012 2013 5674 7933 11,957 13,529 15,476 16,067 16,856 (a) Using a function of the form ya b^x, with x=0 in 1900 and y equal to the national debt in billions, model the data. (Round your coefficients to four decimal places.) y= (b) Use the model to predict the debt in 2023. (Round your answer to the nearest billion.) $ billion (c) Predict the year in which the debt will be $71 trillion ($71,000 billion).
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