What is the regression equation? =x (Round to one decimal place as needed) What is the best predicted weight of a bear with a chest size of 41 inches? The best predicted weight for a bear with a chest size of 41 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 253 pounds? A. This result is very close to the actual weight of the bear B. This result is exactly the same as the actual weight of the bear C. This result is close to the actual weight of the bear. OD. This result is not very close to the actual weight of the bear

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
Question
100%

Please help. Thank you very much 

The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 41 inches. Is the result close to the actual weight of
253 pounds? Use a significance level of 0.05.
Chest size (inches)
40 53 38 43 44 58
227 360 153 206 234 414
Weight (pounds)
Click the icon to view the critical values of the Pearson correlation coefficient r.
What is the regression equation?
y=+x (Round to one decimal place as needed.)
X
What is the best predicted weight of a bear with a chest size of 41 inches?
pounds.
The best predicted weight for a bear with a chest size of 41 inches is
(Round to one decimal place as needed.)
Is the result close to the actual weight of 253 pounds?
OA. This result is very close to the actual weight of the bear.
OB. This result is exactly the same as the actual weight of the bear
OC. This result is close to the actual weight of the bear.
OD. This result is not very close to the actual weight of the bear
Transcribed Image Text:The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 41 inches. Is the result close to the actual weight of 253 pounds? Use a significance level of 0.05. Chest size (inches) 40 53 38 43 44 58 227 360 153 206 234 414 Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=+x (Round to one decimal place as needed.) X What is the best predicted weight of a bear with a chest size of 41 inches? pounds. The best predicted weight for a bear with a chest size of 41 inches is (Round to one decimal place as needed.) Is the result close to the actual weight of 253 pounds? OA. This result is very close to the actual weight of the bear. OB. This result is exactly the same as the actual weight of the bear OC. This result is close to the actual weight of the bear. OD. This result is not very close to the actual weight of the bear
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
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