ste this1:3338%KA pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. Sherandomly selects 11 children from her practice, measures their heights and head circumferences, and obtains theaccompanying 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 theresponse variable.Data Tabley = X +(Round the slope to three decimal places and round the constant to one decimal place as needed.)View an exampleHeight (inches), X Head Circumference (inches), y D27.7517.824.7517.325.7517.426.2517.72517.128.2517.926.7517.52717.7262627.5|||=PrintGet more help.(...)17.517.717.81LTE2 + ...DoneOXClear allCheck answer (a) Find the least-squares regression line treating height as the explanatory variable and head circumference as theresponse variable.y = 0.163 x + (12.9)(Round the slope to three decimal places and round the constant to one decimal place as needed.)(b) Interpret the slope and y-intercept, if appropriate.First interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete yourchoice.A. For a height of 0 inches, the head circumference is predicted to be(Round to three decimal places as needed.)OB. For a head circumference of 0 inches, the height is predicted to be(Round to three decimal places as needed.)OD. For every inch increase in head circumference, the height increases by(Round to three decimal places as needed.)OE. It is not appropriate to interpret the slope.C. For every inch increase in height, the head circumference increases by 0.163 in., on average.(Round to three decimal places as needed.)A. For every inch increase in head circumference, the height increases by(Round to one decimal place as needed.)Interpret the y-intercept, if appropriate. Select the correct choice below and, if necessary, fill in the answer box tocomplete your choice.OC. For every inch increase in height, the head circumference increases by(Round to one decimal place as needed.)OB. For a height of 0 inches, the head circumference is predicted to be in.(Round to one decimal place as needed.)OD. For a head circumference of 0 inches, the height is predicted to be in.(Round to one decimal place as needed.)E. It is not appropriate to interpret the y-intercept.18-(c) Use the regression equation to predict the head circumference of a child who is 24.25 inches tall.y = 16.91¹ in.(Round to two decimal places as needed.)16-(d) Compute the residual based on the observed head circumference of the 24.25-inch-tall child in the table. Is thehead circumference of this child above or below the value predicted by the regression model?24The residual for this observation is 0.11, meaning that the head circumference of this child is below the valuepredicted by the regression model.(Round to two decimal places as needed.)Residual(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.Qin.18-in.16+24ResidualQC.18-in., on average.16-24Residualin., on average.in., on average. D.A. No-this height is outside the scope of the model.OB. No-this height is not possible.C. Yes the calculated model can be used for any child's height.D. Yes this height is possible and within the scope of the model.E. More information regarding the child is necessary to make the decision.18-16-24Residual1(f) Notice that two children are 26.5 inches tall. One has a head circumference of 17.2 inches; the other has a headcircumference of 17.4 inches. How can this be?A. There is no logical explanation for this the two observations in question should have had the same headcircumference.B. The only explanation is that the difference was caused by measurement error.C. For children with a height of 26.5 inches, head circumferences vary.D. The only explanation is that the difference is due to the fact that one observation was of a boy, and oneobservation was of a girl.(g) Would it be reasonable to use the least-squares regression line to predict the head circumference of a child whowas 32 inches tall? Why?

Question

ste this1:3338%KA pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. Sherandomly selects 11 children from her practice, measures their heights and head circumferences, and obtains theaccompanying 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 theresponse variable.Data Tabley = X +(Round the slope to three decimal places and round the constant to one decimal place as needed.)View an exampleHeight (inches), X Head Circumference (inches), y D27.7517.824.7517.325.7517.426.2517.72517.128.2517.926.7517.52717.7262627.5|||=PrintGet more help.(...)17.517.717.81LTE2 + ...DoneOXClear allCheck answer (a) Find the least-squares regression line treating height as the explanatory variable and head circumference as theresponse variable.y = 0.163 x + (12.9)(Round the slope to three decimal places and round the constant to one decimal place as needed.)(b) Interpret the slope and y-intercept, if appropriate.First interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete yourchoice.A. For a height of 0 inches, the head circumference is predicted to be(Round to three decimal places as needed.)OB. For a head circumference of 0 inches, the height is predicted to be(Round to three decimal places as needed.)OD. For every inch increase in head circumference, the height increases by(Round to three decimal places as needed.)OE. It is not appropriate to interpret the slope.C. For every inch increase in height, the head circumference increases by 0.163 in., on average.(Round to three decimal places as needed.)A. For every inch increase in head circumference, the height increases by(Round to one decimal place as needed.)Interpret the y-intercept, if appropriate. Select the correct choice below and, if necessary, fill in the answer box tocomplete your choice.OC. For every inch increase in height, the head circumference increases by(Round to one decimal place as needed.)OB. For a height of 0 inches, the head circumference is predicted to be in.(Round to one decimal place as needed.)OD. For a head circumference of 0 inches, the height is predicted to be in.(Round to one decimal place as needed.)E. It is not appropriate to interpret the y-intercept.18-(c) Use the regression equation to predict the head circumference of a child who is 24.25 inches tall.y = 16.91¹ in.(Round to two decimal places as needed.)16-(d) Compute the residual based on the observed head circumference of the 24.25-inch-tall child in the table. Is thehead circumference of this child above or below the value predicted by the regression model?24The residual for this observation is 0.11, meaning that the head circumference of this child is below the valuepredicted by the regression model.(Round to two decimal places as needed.)Residual(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.Qin.18-in.16+24ResidualQC.18-in., on average.16-24Residualin., on average.in., on average.> D.A. No-this height is outside the scope of the model.OB. No-this height is not possible.C. Yes the calculated model can be used for any child's height.D. Yes this height is possible and within the scope of the model.E. More information regarding the child is necessary to make the decision.18-16-24Residual1(f) Notice that two children are 26.5 inches tall. One has a head circumference of 17.2 inches; the other has a headcircumference of 17.4 inches. How can this be?A. There is no logical explanation for this the two observations in question should have had the same headcircumference.B. The only explanation is that the difference was caused by measurement error.C. For children with a height of 26.5 inches, head circumferences vary.D. The only explanation is that the difference is due to the fact that one observation was of a boy, and oneobservation was of a girl.(g) Would it be reasonable to use the least-squares regression line to predict the head circumference of a child whowas 32 inches tall? Why?

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The answers you had given above along with the questions seems to be wrong. I am…