10. Based on the multiple linear regression model presented in the table below,

Question

10. Based on the multiple linear regression model presented in the table below, which of the following statement is correct? Independent variables Intercept BMI 68.15 Age Male gender Treatment for hypertension 6.44 26.33 10.30 20.22 1.58 9.74 459 0.0001 0.0001 0.0001 0.1133 0.0001 646 0.58 0.65 0.94 LAge Male gender 0.199 A) Age is a more important predictor compared to BMI B) Male gender is not significantly associated with the outcome but is an effect modifier C) The three most important predictors are BMI, age and treatment for hypertension D) Male gender is not significantly associated with the outcome but is a confounder

Explanation / Answer

ans-> C) The three most important predictors are BMI, age and treatment for hypertension

as these three variables have P-value = 0.0001 < 0.05, so at 5% level of significance, we can conclude that these predictors are statistically significant.

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