(a) Display the data in a scatter plot. Choose the correct graph below. O A. O B. O C. OD. 130- 130- 8- 120- 120- 64 score 110- 1Q score 110- 60- 1Q score 1Q score 60- 100- 100- C 56- 56- 90 90- 52+ 52- 52 52 68 90 130 90 130 Height (inches) Height (inches) Height (inches) (b) Calculate the sample correlation coefficient r. Data Table 1= (Round to three decimal places as needed.) Height, x 1Q score, y (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. 60 105 57 101 There is linear correlation. 64 104 Interpret the correlation. Choose the correct answer below. 66 111 58 94 O A. Based on the correlation, there does not appear to be any relationship between high school girls' heights and their IQ scores. 63 109 O B. Based on the correlation, there does not appear to be a linear relationship between high school girls' heights and their IQ scores. 64 114 56 126 O C. Increases in high school girls' heights cause their IQ scores to increase. O D. As high school girls' heights increase, their IQ scores tend to increase. O E. As high school girls' heights increase, their IQ scores tend to decrease. OF. Increases in high school girls' heights cause their IQ scores to decrease. Print Done (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 high school girls' heights and their IQ scores. (Round to three decimal places as needed.)