11. The table shows the temperature of coffee (in Fahrenheit) as a function of the number of minutes since the coffee was poured from the pot into a cup. Temp (*F) 179.5 168.7 158.1 149.2 a. Graph the data on your calculator. Why is an exponential function a better fit for the data than a linear function? Time (mins) 11 15 141.7 134.6 125.4 18 22 25 b. Find the exponential regression equation for the data Round decimals to 4 places. 123.5 116.3 30 34 113.2 109.1 105.7 102.2 100.5 38 42 45 50 c. Compare the y-intercept of the regression equation you found to the corresponding real data value. How close are these values?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
icon
Concept explainers
Question
11. The table shows the temperature of coffee (in Fahrenheit) as a function of the number
of minutes since the coffee was poured from the pot into a cup.
a. Graph the data on your calculator. Why is an exponential function a
better fit for the data than a linear function?
Temp
(*F)
179.5
Time (mins)
5
168.7
8
158.1
11
149.2
15
141.7
18
134.6
22
125.4
123.5
116.3
113.2
109.1
105.7
102.2
100.5
25
b. Find the exponential regression equation for the data
Round decimals to 4 places.
30
34
38
42
45
50
c. Compare the y-intercept of the regression equation you found to the corresponding real data value. How close are these values?
d. Use the regression equation to predict the temperature of the coffee after an hour.
e. Graph the regression equation on your calculator. Create a window that has an XMAX of at least 420 (that's 7 hours!). TRACE on
the graph to find the temperature of the function after 420 minutes. What is the temperature? Explain why using the function to
model the temperature after this many hours are not reasonable.
Transcribed Image Text:11. The table shows the temperature of coffee (in Fahrenheit) as a function of the number of minutes since the coffee was poured from the pot into a cup. a. Graph the data on your calculator. Why is an exponential function a better fit for the data than a linear function? Temp (*F) 179.5 Time (mins) 5 168.7 8 158.1 11 149.2 15 141.7 18 134.6 22 125.4 123.5 116.3 113.2 109.1 105.7 102.2 100.5 25 b. Find the exponential regression equation for the data Round decimals to 4 places. 30 34 38 42 45 50 c. Compare the y-intercept of the regression equation you found to the corresponding real data value. How close are these values? d. Use the regression equation to predict the temperature of the coffee after an hour. e. Graph the regression equation on your calculator. Create a window that has an XMAX of at least 420 (that's 7 hours!). TRACE on the graph to find the temperature of the function after 420 minutes. What is the temperature? Explain why using the function to model the temperature after this many hours are not reasonable.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 10 images

Blurred answer
Knowledge Booster
Application of Integration
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman