The accompanying table shows the height (in inches) of 8 high school girls and their scores...
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The accompanying table shows the height (in inches) of 8 high school girls and their scores on an IQ test. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct graph below. O A. OB. OC. OD. 72- 68- 64- 72- 130- 130- 68- 120- 110- 120- 64- 60- 56- 110- a 60- 56- 52- 90 Height (inches) 100- 100- 52+ 90 90+ 52 72 90- 52 72 130 130 Height (inches) Height (inches) Height (inches) (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. A. Based on the correlation, there does not appear to be any relationship between high school girls' heights and their IQ scores. B. As high school girls' heights increase, their IQ scores tend to decrease. C. Based on the correlation, there does not appear to be a linear relationship between high school girls' heights and their IQ scores. D. Increases in high school girls' heights cause their IQ scores to decrease. O E. As high school girls' heights increase, their IQ scores tend to increase. O F. Increases in high school girls' heights cause their IQ scores 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 V between high school girls' heights and their IQ scores. (Round to three decimal places as needed.) IQ score IQ score IQ score IQ score The accompanying table shows the height (in inches) of 8 high school girls and their scores on an IQ test. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct graph below. O A. OB. OC. OD. 72- 68- 64- 72- 130- 130- 68- 120- 110- 120- 64- 60- 56- 110- a 60- 56- 52- 90 Height (inches) 100- 100- 52+ 90 90+ 52 72 90- 52 72 130 130 Height (inches) Height (inches) Height (inches) (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. A. Based on the correlation, there does not appear to be any relationship between high school girls' heights and their IQ scores. B. As high school girls' heights increase, their IQ scores tend to decrease. C. Based on the correlation, there does not appear to be a linear relationship between high school girls' heights and their IQ scores. D. Increases in high school girls' heights cause their IQ scores to decrease. O E. As high school girls' heights increase, their IQ scores tend to increase. O F. Increases in high school girls' heights cause their IQ scores 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 V between high school girls' heights and their IQ scores. (Round to three decimal places as needed.) IQ score IQ score IQ score IQ score
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Related Book For 
Discrete Mathematics and Its Applications
ISBN: 978-0073383095
7th edition
Authors: Kenneth H. Rosen
Posted Date:
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