The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient Age, x Vocabulary size, y U vaIuide uie saiipe LUITeiduuiI LueILIenI. 260 i= 0.974 (Round to three decimal places as needed.) 520 4 1100 2300 (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. 2600 There is a strong positive linear correlation. 610 2100 Interpret the correlation, Choose the correct answer below. 250 2 4 1400 O A. Based on the correlation, there does not appear to be any relationship between children's ages and the number of words in their vocabu 2400 OB. As age increases, the number of words in children's vocabulary tends to increase. O C. Based on the correlation, there does not appear to be a linear relationship between children's ages and the n O D. Aging causes the number of words in children's vocabulary to decrease. Done Print O E. As age increases, the number of words in children's vocabulary tends to decrease. there is a significant linear correlation OF. Aging causes the number of words in children's vocabulary to increase. there is no correlation (d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation V between children's ages and the number of words in their vocabula Therefore, there V sufficient evidence at the 1% level of significance to conclude that The critical value is (Round to three decimal places as needed.)