1. The number of fixed landline phone subscribers in the U.S. has been declining. The bar graph shows the decrease in the number of subscribers from 2010 to 2015. Fixed Landline Subscribers in the U.S. 2015 2014 2013 2012 2011 2010 125 130 135 140 155 a. To estimate the number of subscribers per year, create a scatter plot of the ordered pairs, with x representing the number of years since 2010 and y representing the number of subscribers in millions. b. Determine both an exponential and a linear regression function to model the situation. c. Which model would you use from part (b)? Explain your reasoning. 145 150 In millions

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Ⓒ Carnegie Learning, Inc.
1. The number of fixed landline phone subscribers in the U.S. has been declining. The bar graph shows
the decrease in the number of subscribers from 2010 to 2015.
2015
2014
2013
2012
2011
2010
125
Fixed Landline Subscribers in the U.S.
130
135
140
145
150
155
In millions
a. To estimate the number of subscribers per year, create a scatter plot of the ordered pairs, with x
representing the number of years since 2010 and y representing the number of subscribers in millions.
b. Determine both an exponential and a linear regression function to model the situation.
c. Which model would you use from part (b)? Explain your reasoning.
LESSON 4: Saving Strategies M3-141
Transcribed Image Text:Ⓒ Carnegie Learning, Inc. 1. The number of fixed landline phone subscribers in the U.S. has been declining. The bar graph shows the decrease in the number of subscribers from 2010 to 2015. 2015 2014 2013 2012 2011 2010 125 Fixed Landline Subscribers in the U.S. 130 135 140 145 150 155 In millions a. To estimate the number of subscribers per year, create a scatter plot of the ordered pairs, with x representing the number of years since 2010 and y representing the number of subscribers in millions. b. Determine both an exponential and a linear regression function to model the situation. c. Which model would you use from part (b)? Explain your reasoning. LESSON 4: Saving Strategies M3-141
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