The following linear regression model can be used to predict ticket sales at a popular water park. Ticket sales per hour = - 631.25 + 11.25(current temperature in °F) 23) Choose the statement that best states the meaning of the slope in this context. A) The slope tells us that a one degree increase in temperature is associated with an average increase in ticket sales of 11.25 tickets. B) The slope tells us that high temperatures are causing more people to buy tickets to the water park. C) The slope tells us that if ticket sales are decreasing there must have been a drop in temperature. D) None of these
The following linear regression model can be used to predict ticket sales at a popular water park. Ticket sales per hour = - 631.25 + 11.25(current temperature in °F) 23) Choose the statement that best states the meaning of the slope in this context. A) The slope tells us that a one degree increase in temperature is associated with an average increase in ticket sales of 11.25 tickets. B) The slope tells us that high temperatures are causing more people to buy tickets to the water park. C) The slope tells us that if ticket sales are decreasing there must have been a drop in temperature. D) None of these
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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Question
The following linear regression model can be used to predict ticket sales at a popular water park.
Ticket sales per hour = - 631.25 + 11.25(current temperature in °F)
23) Choose the statement that best states the meaning of the slope in this context.
-
A) The slope tells us that a one degree increase in temperature is associated with an average increase in ticket sales of 11.25 tickets.
-
B) The slope tells us that high temperatures are causing more people to buy tickets to the water park.
-
C) The slope tells us that if ticket sales are decreasing there must have been a drop in temperature.
-
D) None of these
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