by 11:59 p.m. This question: 2 point(s) possible Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.926 and the least squares regression line is y = 0.227x + 11.229. Complete parts (a) and (b) below Height, x 27.5 25.5 26 75 25.25 28 26.75 26.25 26 75 27.25 26.75 27 Head Circumference, y 17.5 17.1 17.3 16.9 17.6 17.3 17.1 17.4 17.3 17.4 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. Approximately |% of the variation in |head circumference is explained by the least-squares regression model. According to the residual plot, the linear model appears to be appropriate. (Round to one decimal place as needer head circumference height Next