The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a= 0.01. E Click the icon to view the ages of the award winners. ..... O A. O B. OC. OD. 70- 70 70 70 20- 20 Best Actress (years) a 20 20 Best Actress (years) 20- 20 Best Actress (years) 20 20 Best Actress (years) 70 70 70 70 ir The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. p I Ho PV H P (Type integers or decimals. Do not round.) rar The test statistic is t= (Round to two decimal places as needed) ons The P-value is (Round to three decimal places as needed.) V the significance level, there sufficient evideńce to support the claim that there is a linear correlation between the Because the P-value of the linear correlation coefficient is ages of Best Actresses and Best Actors Should we expect that there would be a correlation? O A. No, because Best Actors and Best Actresses are not typically the same age O B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated d Rect Asses tynicaly annear in different movies, so we should not expect the ages to be correlated Bort Actr
The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a= 0.01. E Click the icon to view the ages of the award winners. ..... O A. O B. OC. OD. 70- 70 70 70 20- 20 Best Actress (years) a 20 20 Best Actress (years) 20- 20 Best Actress (years) 20 20 Best Actress (years) 70 70 70 70 ir The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. p I Ho PV H P (Type integers or decimals. Do not round.) rar The test statistic is t= (Round to two decimal places as needed) ons The P-value is (Round to three decimal places as needed.) V the significance level, there sufficient evideńce to support the claim that there is a linear correlation between the Because the P-value of the linear correlation coefficient is ages of Best Actresses and Best Actors Should we expect that there would be a correlation? O A. No, because Best Actors and Best Actresses are not typically the same age O B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated d Rect Asses tynicaly annear in different movies, so we should not expect the ages to be correlated Bort Actr
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
3

Transcribed Image Text:The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the
P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of
a=0.01.
E Click the icon to view the ages of the award winners.
......
OA.
OB.
C.
OD.
70
70-
70
70
nts
20-
20
Best Actress (years)
* 20-
20
Best Actress (years)
B.
20-
20
Best Actress (years)
20-
20
Best Actress (years)
70
70
70
70
our
The linear correlation coefficient is r=
(Round to three decimal places as needed.)
ess
Determine the null and alternative hypotheses.
Ho: P 7
cess
H1 P
(Type integers or decimals. Do not round.)
Librar
The test statistic is t=|
(Round to two decimal places as needed)
tions The P-value is
(Round to three decimal places as needed.)
V the significance level, there
V sufficient evideńce to support the claim that there is a linear correlation between the
Because the P-value of the linear correlation coefficient is
ages of Best Actresses and Best Actors
Should we expect that there would be a correlation?
is
O A. No. because Best Actors and Best Actresses are not typically the same age.
O B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated
O C. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the ages to be correlated.
H HI

Transcribed Image Text:The accompanying table lists the ages of acting award winners matched by the vears in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the
P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables Should we expect that there would be a correlation? Use a significance level of
a= 0.01.
E Click the icon to view the ages of the award winners.
......
Construct a scatterplot. Choose the correct graph below.
OA.
OB.
OC.
OD.
70-
70
70-
70
Q
20-
20
Best Actress (years)
20-
20
Best Actress (years)
20-
20
Best Actress (years)
70
20-
20
Best Actress (years)
70
70
70
The linear coelation coefficient is r=
(Round to three decimal places as needed.)
Determine the null and alternative hypotheses.
Best actresses and best actors
Ho P
Best Actress 28
29 30
62
31
34
43
29
63 23 46 54 D
H1: p 7
ar (Type integers or decimals. Do not round.)
Best Actor
43
35 36 46
52
48
60
53
41
56 44 32
The test statistic is t=
ns
(Round to two decimal places as needed.)
The P-value is
Print
Done
(Round to three decimal places as needed.)
Because the P-value of the linear correlation coefficient is
MPuciem evIuence to support ure Cran urar rere s a linear correlation between the
ue Sig tance Terer, uTere
ages of Best Actresses and Best Actors.
Should we expect that there would be a correlation?
O A. No. because Best Actors and Best Actresses are not typically the same age
O B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated.
Or No because Best Actors and Best Actresses typically appear in different movies, so we should not expect the ages to be corelated.
Best Actor (y
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