The following chart provides the number of iPhones sold (in millions) worldwide each year from 2014 to 2020. year 2014 2015 2016 2017 2018 2019 2020 iphones sold 125.1 150.3 169.2 213.2 211.9 217.7 196.9 (a) Determine the linear regression model that will best predict the number of iPhones sold (in millions) worldwide for a given year. (b) How well does the linear regression model fit this sample data? (c) Use the linear regression model to predict the number of iPhones sold (in millions) worldwide during the year 2021.
The following chart provides the number of iPhones sold (in millions) worldwide each year from 2014 to 2020. year 2014 2015 2016 2017 2018 2019 2020 iphones sold 125.1 150.3 169.2 213.2 211.9 217.7 196.9 (a) Determine the linear regression model that will best predict the number of iPhones sold (in millions) worldwide for a given year. (b) How well does the linear regression model fit this sample data? (c) Use the linear regression model to predict the number of iPhones sold (in millions) worldwide during the year 2021.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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The following chart provides the number of iPhones sold (in millions) worldwide each year from 2014 to 2020.
| year | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
| iphones sold | 125.1 | 150.3 | 169.2 | 213.2 | 211.9 | 217.7 | 196.9 |
(a) Determine the linear regression model that will best predict the number of iPhones sold (in millions) worldwide for a given year.
(b) How well does the linear regression model fit this sample data?
(c) Use the linear regression model to predict the number of iPhones sold (in millions) worldwide during the year 2021.
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