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n3 0.9974 0.9505 0.8786 0.8117 0.7548 0.7079 0.66610 0.63211 0.602120.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128

n3 0.9974 0.9505 0.8786 0.8117 0.7548 0.7079 0.66610 0.63211 0.602120.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361

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A pediatrician wants to determine the relation that may exist between a child's height and (a) If the pediatrician wants to use height to predict head circumference, determine which variable is the head circumference. She randomly selects 8 children from her practice, measures their explanatory variable and which is the response variable. height and head circumference, and obtains the data shown in the table. Complete parts (a) through (e) to the right. The explanatory variable is head circumference and the response variable is height. Height (in.) Head Circumference (in.) OO 27.75 The explanatory variable is height and the response variable is head circumference. 17.1 (b) Draw a scatter diagram. Which of the following represents the data? 26.25 17.3 25.75 O O B. 27.5 17.4 28- 26.25 17.2 17.6 26 17.1 Cira (in) Cira (in) 26.75 17.4 16.94 17.6 Click here to see the Table of Critical Values for Correlation Coefficient. Height (in) Height ( in) O C. O D. 17.6- Height (in) Height (in) 16.94+ 25 16.9 Circ. (in) Circ (in) (c) Compute the linear correlation coefficient between the height and head circumference of a child. (Round to three decimal places as needed.)

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