by years 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. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. OA. a 70- 20 20 G 70 OB. 70 20 20 70 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 Best Actor (years) C. OD 70- Q 70- Q a G 20- Best Actor ( Q G 20 20+ 20 Best Actress (years) 70 Best Actress (years) X Best Actress (years) The linear correlation coefficient is r=-0.199 (Round to three decimal places as needed.) Determine the null and alternative hypotheses Ho p = 0 H, PO (Type integers or decimals. Do not round.) The test statistic is t= -0.64 (Round to two decimal places as needed.) The P-value is 0.535 (Round to three decimal places as needed.) Best Actress (years) Best Actresses and Best Actors Best Actress 29 29 Best Actor 42 37 28 63 33 40 47 49 34 46 29 62 22 47 59 47 41 56 42 44 55 32 Print Done Because the P-value of the linear correlation coefficient is the significance level, there less than or equal to sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and Best Actors.