Reputation: 19
This is the confidence interval of my model:
> confint(tbest,level=0.90)
5 % 95 %
(Intercept) 7.7300811475 14.4907225225
age 0.0163843843 0.0732836893
sex 0.7901979755 3.1819643312
betadiet 0.0001948422 0.0007758837
vituse -2.0411193539 -0.4811121339
calories -0.0010620015 0.0010316039
quetelet -0.2400225686 -0.1143914971
fiber 0.1022553071 0.2886850591
smokstat 0.2034217522 4.7632612497
calories:smokstat -0.0031382219 -0.0006940886
I am interested in the interaction of calories:smokstat. It seems that I get a negative value. How do I interpret that In my results? Do I round it up to zero and conclude that I accept the null hypothesis?
Upvotes: 0
Views: 1423
Reputation: 988
Interesting question. As you can see your upper bound is really close to 0, which means by selecting a slightly different alpha (by alpha I mean 1- level) the interaction between those two would be statistically insignificant.
Given that I don't know how many data points you have or how you trained your model I wouldn't trust that result.
Upvotes: 0