13 points Points: 0.73 of 1 Save panying table lists the ages of acting award winners...

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13 points Points: 0.73 of 1 Save panying 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=0.05. Click the icon to view the ages of the award winners. (Kouna to two decimal places as neeoea.) The P-value is 0.453. (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is greater than the significance level, there is not sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and Best Actors. Should we expect that there would be a correlation? OA. Yes, because Best Actors and Best Actresses are typically the same age. OB. No, because Best Actors and Best Actresses are not typically the same age. OC. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated. OD. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the asse 13 points Points: 0.73 of 1 Save panying 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=0.05. Click the icon to view the ages of the award winners. (Kouna to two decimal places as neeoea.) The P-value is 0.453. (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is greater than the significance level, there is not sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and Best Actors. Should we expect that there would be a correlation? OA. Yes, because Best Actors and Best Actresses are typically the same age. OB. No, because Best Actors and Best Actresses are not typically the same age. OC. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated. OD. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the asse