I am a little unsure about the semantics in this regard, and was hoping someone could cast some light on this.
As far as I understand, multivariable is basically one dependent variable and several independent variables, whereas multivariate is when several dependent variables are included. However, in the examples I've seen this is often related to repeated measures.
Instead, let's say I have some data (independent variables), and then three dependent variables. However, they are not repeated measures. Maybe I wanted to "measure" the health of a person, e.g. this could include: weight, lung capacity, and resting heart rate - just to pick some arbitrary ones.
So basically these dependent variables might give me some insight to a persons health. If one of the independent variables are smoking for example, then this might affect all three dependent variables, but maybe other independent variables will only influence one of each.
In this case, what am I performing ? Multivariable regression, multivariate regression, a mix, or...?