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Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.887 and the least squares regression line is y = 0.254x + 10.525. Complete parts (a) through (c) below. Height, X 27.25 25.75 26.25 25.25 27.5 26.75 26.25 27 26.75 27.25 26.75 Head Circumference, y 17.4 16.9 17.3 17.0 17.5 17.2 17.1 17.4 17.4 17.4 17.4 (a) Compute the coefficient of determination, R2. R2 = % (Round to one decimal place as needed.) (b) Construct a residual plot to verify the requirements of the least-squares regression model. O A. O B. O C. OD. + + 0.3- 0.3- 0.3- 0.3- Residual Residual Height Height (inches) -0.3+ -0.3- -0.3- -0.3- 25 28 25 28 25 28 25 28 Residual Height (inches) Height (inches) Residual (c) Interpret the coefficient of determination and comment on the adequacy of the linear model. Approximately |% of the variation in is explained by the least-squares regression model. According to the residual plot, the linear model appears to be (Round to one decimal place as needed head circumference height