The data in the table give sales revenues and costs and expenses for a mining company for various years.
Year | Sales
Revenue (millions) |
Costs and
Expenses (millions) |
||
---|---|---|---|---|
2006 | $1.6928 | $2.4105 | ||
2007 | 2.5097 | 2.4412 | ||
2008 | 2.8313 | 2.6378 | ||
2009 | 2.6936 | 2.9447 | ||
2010 | 3.3802 | 3.5344 | ||
2011 | 3.5507 | 3.8171 | ||
2012 | 3.7456 | 4.2587 | ||
2013 | 4.0797 | 4.8769 | ||
2014 | 4.3329 | 4.9088 | ||
2015 | 4.4070 | 4.6771 | ||
2016 | 3.9759 | 4.9025 |
Assume that sales revenue for the company can be modeled by
R(t) = −0.031t2 + 0.686t + 0.179
where t is the number of years past 2003.
(a) Use the function to determine the year in which maximum
revenue occurs.
Determine the maximum revenue the function predicts. (Round your
answer to two decimal places.)
$ million
(b) Check the result from (a) against the data in the table.
Using the function, the revenue in each year are :
2006 : 1.958
2007 : 2.427
2008 : 2.834
2009 : 3.179
2010 : 3.462
2011 : 3.683
2012 : 3.842
2013 : 3.939
2014 : 3.974
2015 : 3.947
2016 : 3.858
a) We can find that the maximum revenue the function predicts is $3.974 million $3.97 million, which is in the year 2014.
b) In the table, the maximum revenue is obtained in the year 2015. There is a difference of $0.433 million in the maximum revenue value obtained using the function and that from the table data.
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