3 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 theP-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 ofa=0.01.E Click the icon to view the ages of the award winners.......OA.OB.C.OD.7070-7070nts20-20Best Actress (years)* 20-20Best Actress (years)B.20-20Best Actress (years)20-20Best Actress (years)70707070ourThe linear correlation coefficient is r=(Round to three decimal places as needed.)essDetermine the null and alternative hypotheses.Ho: P 7cessH1 P(Type integers or decimals. Do not round.)LibrarThe 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, thereV sufficient evideńce to support the claim that there is a linear correlation between theBecause the P-value of the linear correlation coefficient isages of Best Actresses and Best ActorsShould we expect that there would be a correlation?isO 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 correlatedO 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 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 theP-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 ofa= 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.70-7070-70Q20-20Best Actress (years)20-20Best Actress (years)20-20Best Actress (years)7020-20Best Actress (years)707070The linear coelation coefficient is r=(Round to three decimal places as needed.)Determine the null and alternative hypotheses.Best actresses and best actorsHo PBest Actress 2829 30623134432963 23 46 54 DH1: p 7ar (Type integers or decimals. Do not round.)Best Actor4335 36 46524860534156 44 32The test statistic is t=ns(Round to two decimal places as needed.)The P-value isPrintDone(Round to three decimal places as needed.)Because the P-value of the linear correlation coefficient isMPuciem evIuence to support ure Cran urar rere s a linear correlation between theue Sig tance Terer, uTereages 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 ageO 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

The independent variable is Best Actress. The dependent variable is Best Actor. This is simple…

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

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P