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. Determinewhether 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 α = 0.05.Click the icon to view the ages of the award winners.Construct a scatterplot. Choose the correct graph below.O A.70-70-2070Best Actress (years)The linear correlation coefficient is r =(Round to three decimal places as needed.)Determine the null and alternative hypotheses.Ho: PH₁: P(Type integers or decimals. Do not round.)Best Actor (years)70-20-B.Best Actor (years)70-20+2070Best Actress (years)Best Actor (years)20+●7020Best Actress (years)Best Actor (years)SIEH20+2070Best Actress (years) The test statistic is t =(Round to two decimal places as needed.)The P-value is(Round to three decimal places as needed.)the significance level, thereBecause the P-value of the linear correlation coefficient isBest Actors.Should we expect that there would be a correlation?O A. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated.B. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the ages to be correlated.C. Yes, because Best Actors and Best Actresses are typically the same age.D. No, because Best Actors and Best Actresses are not typically the same age.sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and

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Significance level is 0.05.