The scatter plot and linear regression models for the yearly revenue of restaurants (R) and supermarkets (S) are given in the popup below. The revenue for restaurants can be modeled by the equation R= 13.5n+ 170.5, and for supermarkets can be modeled by the equation S=7.5n+245.5, where n is the number of years since 1986 and revenue is in billions of dollars. a. Interpret the slope of each model. b. Use the model to predict the revenue of restaurants and the revenue of supermarkets in 2017. c. Estimate the first year that restaurant revenue will exceed supermarket revenue by at least 150 billion dollars. Click the icon to view the scatter plot and data table of yearly revenue. a. Interpret the slope of each model. The slope of the linear regression model t restaurants shows that the revenue is (Type an integer or a decimal.) at a rate of billion dollars per year.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter6: Exponential Functions And Sequences
Section: Chapter Questions
Problem 6CA
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The scatter plot and linear regression models for the yearly revenue of restaurants (R) and supermarkets (S) are given in the popup below. The revenue for restaurants can be modeled by the equation R = 13.5n+ 170.5, and for supermarkets can be modeled by the equation
S = 7.5n+245.5, where n is the number of years since 1986 and revenue is in billions of dollars.
a. Interpret the slope of each model.
b. Use the model to predict the revenue of restaurants and the revenue of supermarkets in 2017.
c. Estimate the first year that restaurant revenue will exceed supermarket revenue by at least 150 billion dollars.
Click the icon to view the scatter plot and data table of yearly revenue.
a. Interpret the slope of each model.
The slope of the linear regression model for restaurants shows that the revenue is
(Type an integer or a decimal.)
▼at a rate of
C
billion dollars per year.
Transcribed Image Text:The scatter plot and linear regression models for the yearly revenue of restaurants (R) and supermarkets (S) are given in the popup below. The revenue for restaurants can be modeled by the equation R = 13.5n+ 170.5, and for supermarkets can be modeled by the equation S = 7.5n+245.5, where n is the number of years since 1986 and revenue is in billions of dollars. a. Interpret the slope of each model. b. Use the model to predict the revenue of restaurants and the revenue of supermarkets in 2017. c. Estimate the first year that restaurant revenue will exceed supermarket revenue by at least 150 billion dollars. Click the icon to view the scatter plot and data table of yearly revenue. a. Interpret the slope of each model. The slope of the linear regression model for restaurants shows that the revenue is (Type an integer or a decimal.) ▼at a rate of C billion dollars per year.
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