A gaming app has been gaining approximately 8,000 new downloads every month. Which of these types of functions should be used in a regression to model the number of downloads? n Linear Polynomial Exponential Logistic

Calculus: Early Transcendentals
8th Edition
ISBN:9781285741550
Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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65
A gaming app has been gaining approximately 8,000 new downloads every month. Which of
these types of functions should be used in a regression to model the number of downloads?
n
Linear
Polynomial
Exponential
Logistic
Transcribed Image Text:65 A gaming app has been gaining approximately 8,000 new downloads every month. Which of these types of functions should be used in a regression to model the number of downloads? n Linear Polynomial Exponential Logistic
64
A local grocery store recorded how much ice cream was sold from January until mid-
September. The graph below shows the number of sales, in hundreds, with an exponential
function to model the data.
Is an exponential function a good regression model for the data? Why?
Ice Cream Sales (in hundreds)
7
6
5
3
2
0
f(x) = 0.19e0.39x
r² = 0.71
1
2
3
Yes, an exponential model fits the data.
7
Months Since January
4
5
6
No, because the data would fit better with a linear function.
No, because the data would fit better with a polynomial function.
No, because the data would fit better with a logistic function.
8
9
10
11 12
Transcribed Image Text:64 A local grocery store recorded how much ice cream was sold from January until mid- September. The graph below shows the number of sales, in hundreds, with an exponential function to model the data. Is an exponential function a good regression model for the data? Why? Ice Cream Sales (in hundreds) 7 6 5 3 2 0 f(x) = 0.19e0.39x r² = 0.71 1 2 3 Yes, an exponential model fits the data. 7 Months Since January 4 5 6 No, because the data would fit better with a linear function. No, because the data would fit better with a polynomial function. No, because the data would fit better with a logistic function. 8 9 10 11 12
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