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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= 5.5n+ 225.5, 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 at a rate of billion dollars per year. (Type an integer or a decimal.)

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= 5.5n+ 225.5, 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 at a rate of billion dollars per year. (Type an integer or a decimal.)

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section1.3: Lines
Problem 92E
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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= 5.5n + 225.5, wheren 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 at a rate of billion dollars per year. (Type an integer or a decimal.)
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= 5.5n + 225.5, wheren 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 at a rate of billion dollars per year. (Type an integer or a decimal.)
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