\f(b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. increases by 1 inch, by about inches, on average. Interpret the y-intercept. Choose the correct answer below. O A. It is not appropriate to interpret the y-intercept. It is outside the scope of the model. O B. If height increases by 1 inch, head circumference increases by about 0.1800 inch, on average. O C. The y-intercept is the child's head circumference when the child's height is 0 inches. (c) Use the regression equation to predict the head circumference of a child who is 25 inches tall. The predicted value of the head circumference of a child who is 25 inches tall is |] inches. Print Done (Round to two decimal places as needed.) (d) Compute the residual based on the observed head circ umference of the 25-inch-tall child in the table. Is the head circumference of this child above average or below average? The residual based on the observed head circumference of the 25-inch-tall child is |] inches (d) Compute the residual based on the observed head circumference of the 25-inch-tall child in the table. Is the head circumference of this child above average or below average? The residual based on the observed head circumference of the 25-inch-tall child is |] inches. (Round to two decimal places as needed.) (e) Draw the least-squares regression line on the scatter diagram of the data and label the residual from part (d). Choose the correct graph below. OA B. O C. F 17.8- G 17.8 17-3 17.3- 17.3- Hand circumference Hand circumference Hand circumfor Residual Residual 16.81 16.0 16.6- 26 28 24 26 24 26 28 Haight (nj Height [in] Height (in) Is the head circumference of this child above average or below average? O Above average O Below average (f) Notice that two children are 26.75 inches tall. One has a head circumference of 17.3 inches; the other has a head circumference of 17.5 inches. How can this be? (f) Notice that two children are 26.75 inches tall. One has a head circumference of 17.3 inches; the other has a head circumference of 17.5 inches. How can this be? O A. It is a mistake among the measurements. O B. It is not appropriate to use this model to predict the value of the head circumference for children who are 26.75 inches tall because 26.75 inches is outside the scope of the model. O C. For children who are 26.75 inches tall, head circumference varies. (0) Would it be reasonable to use the least-squares regression line to predict the head circumference of a child who was 32 inches tall? No OA pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences, and obtains the accompanying data. Complete parts (a) through (g) below. Click the icon to view the children's data. (a) Find the least-squares regression line treating height as the explanatory variable and head circumference as the response variable. y = [x+ (D) (Round the slope to three decimal places and round the constant to one decimal place as needed.)