Question: 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)? Use the

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)?

Use the stronger of the two previous relationships to create a regression equation to predict the height of a patient with an ankle girth of 15 and a pelvic diameter of 27.

Use the regression equation of the stronger relationship to interpret the slope and y-intercept.

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)?Use the

\fOptions (1 of 2) Options (1 of 2) Simple linear regression results: Simple linear regression results: Dependent Variable: Height Dependent Variable: Height Independent Variable: Pelvic_dia Independent Variable: Ankle_girth Height = 125.88369 + 1.6263073 Pelvic_dia Height = 107.24562 + 2.8838301 Ankle_girth Sample size: 507 Sample size: 507 R (correlation coefficient) = 0.3814241 R (correlation coefficient) = 0.57090964 R-sq = 0.14548434 R-sq = 0.32593782 Estimate of error standard deviation: 8.7046277 Estimate of error standard deviation: 7.73108 Parameter estimates: Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 125.88369 4.8964297 #0 505 25.709281

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