Interpretation of results:
1. Continuous variables:
If I get a significant positive main age effect, a significant positive BMI main effect, a non-significant interaction effect for age*BMI, and a significant F-test for testing joint hypothesis of age and age*bmi, does it imply that age or BMI in itself have a significant effect on the outcome whereby an increase in either age or BMI lead to an increase in the outcome and not the interaction between age and BMI.
2. Categorical variables:
If the main effect of age on smoking (conceptualized as the age-trend for non-smokers) is significant and positive, main effect of smoking is significant and positive and the age+age*smoke effect (conceptualized as the age trend for smokers) is significant and positive, does it mean that for non-smokers as well as smokers with age there is an increase in the outcome. Also, we can compare the estimates between smokers vs. non-smokers to see which effect is stronger.
Please advise.
Thank you!!
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