14/ The Stata output below shows a model selection for body mass index (BMI) usi
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Question
14/ The Stata output below shows a model selection for body mass index (BMI) using the NHANES data set for the explanatory variables income, age and race (re). Which of the following statements is true?
Race does not have a significant association with BMI, controlling for income and age.
The model does not predict BMI well because the adjusted R-squared is lower than R-squared.
The p-value for the slope of income is < 0.001.
The confidence interval for the slope of age is (-0.063, 0.789).
Race does not have a significant association with BMI, controlling for income and age.
The model does not predict BMI well because the adjusted R-squared is lower than R-squared.
The p-value for the slope of income is < 0.001.
The confidence interval for the slope of age is (-0.063, 0.789).
Explanation / Answer
Here
1 st option is false since pvalue for the explanatory variable age & income is less than 0.05 indicates that both have significant association with BMI
3rd option is false since pvalue for income is 0.003 which is greater than 0.001
4th option is false since Confidence interval for age is (0.062,0.789)
Answer : 2nd option is TRUE.
since adjusted R2 is less than R2 indicates that adding age &income variable does not improves the model.
The model does not predict BMI well
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