ch the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r= - 0.764 (b) r= - 0.969 (c) r= - 0.049 (d) r= - 1 Click the icon to view the scatter diagrams. r= - 0.969 r= - 0.049 r= - 0.764 r= - 1 Drag each of the r-values given above into the appropriate area below. a Response Response Response Response . . .. ... ... Explanatory Explanatory Explanatory Explanatory Help Me Solve This View an Example Get More Help - Time Remaining: 01:14:51 Next2 Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.913 and the least squares regression line is y = 0.228x + 11.229. Complete parts (a) through (c) below. Height, x 27.25 25.25 26.75 25 27.5 26.5 25.75 27 26.75 26.75 26.75 Head Circumference, y 17.5 17.0 17.2 16.9 17.6 17.4 17.2 17.3 17.3 17.3 17.3 (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. OA OB O C. O D. A 0.2- 0.2-1 021 . Residual Height Residual 0- Height (inches 0.2- -0.2- -0.2+ -0.2+ 24 28 24 28 24 28 24 28 Height (inches) Residual Residual Height (inches) (c) 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 needed.) Help Me Solve This View an Example Get More Help - Time Remaining: 01:14:00 Next