A person would like to predict a patient's Height. Which is a better predictor of Height: Pelvic_Dia (Pelvic Diameter) or Ankle_girth (Ankle Girth)? Explain how the decision was made). (You need to create Scatter plot for each variable and compare. Make sure to copy and paste all your StatCrunch graph/equation here) (10 points) Simple linear regression results: Dependent Variable: Ankle_girth Independent Variable: Height Ankle_girth = 2.8142901 + 0.11302255 Height Sample size: 507 R (correlation coefficient) = 0.57090964 R-sq = 0.32593782 Estimate of error standard deviation: 1.530516 Simple linear regression results: Dependent Variable: Pelvic_dia Independent Variable: Height Pelvic_dia = 12.519994 + 0.089456861 Height Sample size: 507 R (correlation coefficient) = 0.3814241 R-sq = 0.14548434 Estimate of error standard deviation: 2.0415298 8\f5} Use the stronger of the two previous relationships { in #4) to create a regression equation to predict the height of a patient with an ankle girth of IS and a pelvic diameter of 2?. Be sure to show your work. {ID points) ft} Use the regression equation of the stronger relationship to interpret the slope and y-intereept. {ptlnneh Extra Credit-6 points] 11