Question 8: 1.Studies have found that mother’s pre-pregnancy BMI
is a predictor of whether her child will become overweight or not.
The IGS study wanted to see if their sample of children provided
results consistent with these previous findings. Use this output
from the linear regression model to answer the below questions.
a)In the IGS study, is mother’s pre-pregnancy BMI a significant
predictor of child’s BMI at age 6 years? State the evidence that
backs up your conclusion.
b)What is r2 for this sample and describe in words
what it means for the two variables under consideration?
c)Give the value for the correlation (r).
d)Write down the regression equation that relates MomBMI to
ChildBMI.
e)Give the value that estimates .
f)The mother’s BMI in this sample ranges from 16 to 41
kg/m2. Based on this and the SAS output, answer the
following:
– if a mother’s pre-pregnancy BMI is 30, what is her child’s
expected BMI at age 6?
– If a mother’s pre-pregnancy BMI is 50, what is her child’s
expected BMI at age 6?
Show transcribed image text The REG Procedure Dependent Variable: ChildBMI6 Analysis of Variance Mean Sum of DF Squares Square F Value Pr> F Model Error Corrected Total 6047447212 1 54.14572 54.14572 7.60 0.0078 59 420.32640 7.12418 Root MSE Dependent Mean 16.09763 Adi R-Sa0.0991 Coet Var 16.58080 2.66912 R-Square 0.1141 Parameter Estimates Parameter Standard Variable DF Estimate Error Value Rr>It Intercept 12.27207 1.42911 8
The REG Procedure Dependent Variable: ChildBMI6 Analysis of Variance Mean Sum of DF Squares Square F Value Pr> F Model Error Corrected Total 6047447212 1 54.14572 54.14572 7.60 0.0078 59 420.32640 7.12418 Root MSE Dependent Mean 16.09763 Adi R-Sa0.0991 Coet Var 16.58080 2.66912 R-Square 0.1141 Parameter Estimates Parameter Standard Variable DF Estimate Error Value Rr>It Intercept 12.27207 1.42911 8
