A hotel is monitoring how the number of increases in price affects the weekly profit. The table models the weekly profit, y, after a given number of price increases, x. Which type of models would best fit the data? O The data is best modeled by a quadratic function because the weekly profit increases to a maximum and then decreases.The data is best modeled by a quadratic function because the weekly profit decreases to a minimum and then increases.The data is best modeled by an exponential growth function because the weekly profit increases to a maximum and then decreases.The data is best modeled by an exponential decay function because the weekly profit decreases to a minimum and then increases. x (price increases)01 2 3 45y (weekly profit in dollars) 61,000 66,000 69,000 70,000 69,000 66,000

A hotel is monitoring how the number of increases in price affects the weekly profit. The table models the weekly profit, y, after a given number of price increases, x. Which type of models would best fit the data?

A hotel is monitoring how the number of increases in price affects the weekly profit. The table models the weekly profit, y, after a given number of price increases, x. Which type of models would best fit the data?

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.3: The Natural Exponential Function

Problem 8E

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Question

O The data is best modeled by a quadratic function because the weekly profit increases to a maximum and then decreases.
The data is best modeled by a quadratic function because the weekly profit decreases to a minimum and then increases.
The data is best modeled by an exponential growth function because the weekly profit increases to a maximum and then decreases.
The data is best modeled by an exponential decay function because the weekly profit decreases to a minimum and then increases.

x (price increases)
0
1 2 3 4
5
y (weekly profit in dollars) 61,000 66,000 69,000 70,000 69,000 66,000

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