ere sufficient evidence to support the claim that there is a lir sier to measure chest size than weight? If so, does it appea

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
Question 11
Correlation Results
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is
there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it Correlation coeff, r: 0.978558
easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α = 0.05.
Critical r:
+0.268085
P-value (two tailed): 0.000
r= (Round to three decimal places as needed.)
Identify the critical value(s).
(Round to three decimal places as needed.)
O A. There is one critical value at r=
OB. There are two critical values at r= +
Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? Choose the correct answer below and, if necessary, fill in the answer box
within your choice.
(Round to three decimal places as needed.)
OA. Yes, because the absolute value of the test statistic
OB. No, because the absolute value of the test statistic
OC. Yes, because the test statistic
exceeds the critical value.
exceeds the critical value
falls between the critical values.
OD. No, because the test statistic
falls between the critical values.
OE. The answer cannot be determined from the given information.
Next
Transcribed Image Text:Correlation Results Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it Correlation coeff, r: 0.978558 easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α = 0.05. Critical r: +0.268085 P-value (two tailed): 0.000 r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= OB. There are two critical values at r= + Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? Choose the correct answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) OA. Yes, because the absolute value of the test statistic OB. No, because the absolute value of the test statistic OC. Yes, because the test statistic exceeds the critical value. exceeds the critical value falls between the critical values. OD. No, because the test statistic falls between the critical values. OE. The answer cannot be determined from the given information. Next
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is
there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it Correlation coeff, r: 0.978558
Correlation Results
easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05.
Critical r:
+0.2680855
P-value (two tailed): 0.000
(Round to three decimal places as needed.)
OA. Yes, because the absolute value of the test statistic
A
OB. No, because the absolute value of the test statistic
OC. Yes, because the test statistic
exceeds the critical value.
exceeds the critical value
falls between the critical values.
OD. No, because the test statistic
falls between the critical values.
O E. The answer cannot be determined from the given information.
When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight?
OA. Yes, it is easier to measure a chest size than a weight because measuring weight would require lifting the bear onto the scale. The chest size could be used to predict weight because there is a linear
correlation between the two.
OB. No, it is easier to measure weight than chest size because the chest is not a flat surface.
OC. Yes, it is easier to measure a chest size than a weight because measuring weight would require lifting the bear onto the scale. The chest size could not be used to predict weight because there is too
much variance in the weight of the bears.
OD. Yes, it is easier to measure a chest size than a weight because measuring weight would require lifting the bear onto the scale. The chest size could not be used to predict weight because there is not a
linear correlation between the two
Next
Transcribed Image Text:Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it Correlation coeff, r: 0.978558 Correlation Results easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 (Round to three decimal places as needed.) OA. Yes, because the absolute value of the test statistic A OB. No, because the absolute value of the test statistic OC. Yes, because the test statistic exceeds the critical value. exceeds the critical value falls between the critical values. OD. No, because the test statistic falls between the critical values. O E. The answer cannot be determined from the given information. When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? OA. Yes, it is easier to measure a chest size than a weight because measuring weight would require lifting the bear onto the scale. The chest size could be used to predict weight because there is a linear correlation between the two. OB. No, it is easier to measure weight than chest size because the chest is not a flat surface. OC. Yes, it is easier to measure a chest size than a weight because measuring weight would require lifting the bear onto the scale. The chest size could not be used to predict weight because there is too much variance in the weight of the bears. OD. Yes, it is easier to measure a chest size than a weight because measuring weight would require lifting the bear onto the scale. The chest size could not be used to predict weight because there is not a linear correlation between the two Next
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