Data represent 13

Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.873 and the least squares regression line is y = 0.286x + 9.645. Complete parts (a) through (c) below Height, x 27.5 25.75 26.75 25.75 27.5 26.25 26 26.75 27.25 27 26.75 Head Circumference, y 17.5 17.0 17 1 16.9 17.6 17.2 172 17.4 17.3 174 17.3 03 037 0.3 Residual Height Height (Inch ce) Residual -0.3 -0.3 -03 -0.3 25 28 25 28 25 28 28 Height (inches) Residual 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.) Click to select your answer(s) N-400 2.pdf