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A local coffee shop models the number of customers in its shop according to the time of day (t = 0 corresponds to the opening time of 5:00 a.m. The coffee shop uses the polynomial regression N() = -0.07P – 0.04f + 5.2t + 30 with the coefficient of determination ? = 0.94. AN(1) 50 40 30 20

A local coffee shop models the number of customers in its shop according to the time of day (t = 0 corresponds to the opening time of 5:00 a.m. The coffee shop uses the polynomial regression N() = -0.07P – 0.04f + 5.2t + 30 with the coefficient of determination ? = 0.94. AN(1) 50 40 30 20

Algebra and Trigonometry (6th Edition)
Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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A local coffee shop models the number of customers in its shop according to the time of day (t=0 corresponds to the opening time of 5:00 a.m.) by counting customers at certain times and taking the average number of customers over a one-month period. The coffee shop uses the polynomial regression N() = -0.07 - 0.04P + 5.2t + 30 with the coefficient of determination 2 = 0.94. 4 12 Is this model appropriate for tvalues between 0 and 10? O No, this model is not appropriate because this data should be modeled by a logistic function. O No, this model is not appropriate because this data should be modeled by a linear function. O Yes, this model is appropriate because the number of customers is concave down between t= 0 and t= 10. O Yes, this model is appropriate because this data should be modeled by a polynomial, and the function fits the data strongly.
Transcribed Image Text:A local coffee shop models the number of customers in its shop according to the time of day (t=0 corresponds to the opening time of 5:00 a.m.) by counting customers at certain times and taking the average number of customers over a one-month period. The coffee shop uses the polynomial regression N() = -0.07 - 0.04P + 5.2t + 30 with the coefficient of determination 2 = 0.94. 4 12 Is this model appropriate for tvalues between 0 and 10? O No, this model is not appropriate because this data should be modeled by a logistic function. O No, this model is not appropriate because this data should be modeled by a linear function. O Yes, this model is appropriate because the number of customers is concave down between t= 0 and t= 10. O Yes, this model is appropriate because this data should be modeled by a polynomial, and the function fits the data strongly.
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