Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.843 and the least squares regression line is y = 0.192x + 12.177. Complete parts (a) and (b) below. Height, x 27.75 25.00 26.00 25.75 27.25 26.50 26.25 27.25 Head Circumference, y 17.6 17.1 17.1 17.0 17.4 17.4 17.1 17.3 (a) Compute the coefficient of determination, R2 R2 =% (Round to one decimal place as needed.) (b) Interpret the coefficient of determination and comment on the adequacy of the linear model. O A. R2 of the variation in head circumference is not explained by the least-squares regression O B. R2 of the variation in head circumference is explained by the least-squares regression equation. equation. The linear model appears to be not appropriate. The linear model appears to be appropriate. O C. R2 of the variation in head circumference is explained by the least-squares regression equation. O D. R of the variation in head circumference is not explained by the least-squares regression The linear model appears to be not appropriate. equation The linear model appears to be appropriate