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This quiz: 11 point(s) MyStatLab Data Set Quiz: Chapter 4 Review Quiz Question 7 of 11 possible statcrunch.com/app/?dlim=comma&ft=true&dataurl=https%3... This question: 1 Resume later point(s) possible

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This quiz: 11 point(s) MyStatLab Data Set Quiz: Chapter 4 Review Quiz Question 7 of 11 possible statcrunch.com/app/?dlim=comma&ft=true&dataurl=https%3... This question: 1 Resume later point(s) possible Submit quiz P StatCrunch Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.840 and the least squares regression line is y = 0.148x + 13.300. Complete parts (a) through (c) below. MyStatLab Data Set Height, x 27.5 25 26.5 25.75 27.75 26.75 26.25 27.25 27.25 27.25 26.75 StatCrunch Applets * Edit Data Stat Graph Head Circumference, y 17.2 17.0 17.1 17.1 17.4 17.3 17.2 17.4 17.4 17.4 17.3 Row Height, x Head Circumfe var3 var4 27.5 17.2 25 17 26.5 17.1 (a) Compute the coefficient of determination, R2. 25.75 17.1 JOUAWN R2 = % (Round to one decimal place as needed.) 27.75 17.4 26.75 17.3 (b) Construct a residual plot to verify the requirements of the least-squares regression model. 26.25 17.2 O A. OB. O C. OD. 8 27.25 17.4 9 27.25 17.4 0.3 0.3- 0.3- 0.3- 10 27.25 17.4 11 26.75 17.3 Residual Height (inches) Height Residual 12 13 -0.3 -0.3 -0.3- -0.3- 24 28 24 28 24 28 24 28 14 Residual Height (inches) Residual Height (inches) 15 (c) Interpret the coefficient of determination and comment on the adequacy of the linear model. 16 17 Approximately |% of the variation in is explained by the least-squares regression model. According to the residual plot, the linear model 18 19 appears to be 20 (Round to one decimal place as needed.) 21 22

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