Question
There is a short and simple project that asks you to determine a model (fit for an exponential curve) for one of two datasets, use
There is a short and simple project that asks you to determine a model (fit for an exponential curve) for one of two datasets, use it to make a prediction and to determine an annual average rate of growth.you can either use the data bellow for the number if Starbucks worldwide (version 1) or you can find your own data for something that interests you.
version 1: the following data from the website statistia.com gives the number of Starbucks worldwide from 2005 to 2019
Year | U.s. | International | Total |
2005 | 7302 | 2939 |
|
2006 | 8896 | 3544 |
|
2007 | 10684 | 4327 |
|
2008 | 11567 | 5113 |
|
2009 | 11128 | 5507 |
|
2010 | 11131 | 5727 |
|
2011 | 10787 | 6216 |
|
2012 | 11045 | 7021 |
|
2013 | 11457 | 8310 |
|
2014 | 11962 | 9404 |
|
2015 | 12521 | 10522 |
|
2016 | 13172 | 11913 |
|
2017 | 13930 | 13409 |
|
2018 | 14606 | 14698 |
|
2019 | 15041 | 16202 |
|
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|
|
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A) Fit an exponential model to the worldwide data and what your model is, as an equation, y....= Round a to one decimal and b to three decimals
B) What has been the average annual rate of growth in Starbucks worldwide from 2005 to 2019
C) According to your model, what is the predicted number os Starbucks stores worldwide in 2025
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