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A company wants to use data thas collected to predict customer satisfaction (as a percentage) based on the price of its product. The company uses polynomial regression to produce the model shown below, where is the percentage of customers who are satisfied with their purchase pr determination for this model is 0.95 LAS(p) 13 as 86 84 43 Does the polynomial model appropriately it the data? O Yes, it appropriately fits the data because the points are all close to the curve, and is so close to 1. O Yes, it appropriately fits the data because the data appear to be concave down and decreasing O No, it does not appropriately it the data because there is a curve to the data, and is close to 1.

A company wants to use data thas collected to predict customer satisfaction (as a percentage) based on the price of its product. The company uses polynomial regression to produce the model shown below, where is the percentage of customers who are satisfied with their purchase pr determination for this model is 0.95 LAS(p) 13 as 86 84 43 Does the polynomial model appropriately it the data? O Yes, it appropriately fits the data because the points are all close to the curve, and is so close to 1. O Yes, it appropriately fits the data because the data appear to be concave down and decreasing O No, it does not appropriately it the data because there is a curve to the data, and is close to 1.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.5: Quadratic Functions
Problem 16E
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66 A company wants to use data it has collected to predict customer satisfaction (as a percentage) based on the price of its product. The company uses polynomial regression to produce the model shown below, where S is the percentage of customers who are satisfied with their purchase price. determination for this model is 0.95 14AS(p) 1.3 0.8 0.4 0.3 -10 4 Does the polynomial model appropriately fit the data? O Yes, it appropriately fits the data because the points are all close to the curve, and is so close to 1. Yes, it appropriately fits the data because the data appear to be concave down and decreasing O No, it does not appropriately fit the data because there is a curve to the data, and 2 is close to 1. O No, it does not appropriately fit the data because the data appear to be concave down and decreasing.
Transcribed Image Text:66 A company wants to use data it has collected to predict customer satisfaction (as a percentage) based on the price of its product. The company uses polynomial regression to produce the model shown below, where S is the percentage of customers who are satisfied with their purchase price. determination for this model is 0.95 14AS(p) 1.3 0.8 0.4 0.3 -10 4 Does the polynomial model appropriately fit the data? O Yes, it appropriately fits the data because the points are all close to the curve, and is so close to 1. Yes, it appropriately fits the data because the data appear to be concave down and decreasing O No, it does not appropriately fit the data because there is a curve to the data, and 2 is close to 1. O No, it does not appropriately fit the data because the data appear to be concave down and decreasing.
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