O A. J B. O C. 3000- 3000 2400- 6 ry size 2400- 1800- 1800- Vocabulary size Vocabulary s 1200- 4 Vocabulary size 1200- 600- 2- 600 C OH 1500 3000 1500 3000 Age (years Age ( Age (years (b) Calculate the sample correlation coefficient r. (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. There is linear correlation. Interpret the correlation. Choose the correct answer below. O A. Aging causes the number of words in children's vocabulary to increase. O B. Based on the correlation, there does not appear to be any relationship between children's ages and the number of words in their vocabulary. O C. Aging causes the number of words in children's vocabulary to decrease. O D. As age increases, the number of words in children's vocabulary tends to decrease O E. Based on the correlation, there does not appear to be a linear relationship between children's ages and the number of words in their vocabulary O F. As age increases, the number of words in children's vocabulary tends to increase. (d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let a = 0.01. The critical value is . Therefore, there sufficient evidence at the 1% level of significance to conclude that between children's ages and the number of words in their vocabulary. (Round to three decimal places as needed.)The ages (in years) of 10 men and their systolic b correlation coefficient r. Use technology. ects the Click the icon to view the data set. The new correlation coefficient r going from 0.910 to]. (Round to three decimal places as needed.)