Interpreting the effects of 2 continuous covariates

Often we shall be faced with situations where we have multiple continuous-valued predictor variables that have potentially important effects on a response variable of interest. In this video Darryl provides insight on how we could interpret such situations, focusing on the case with two continuous covariates.

In particular, he describes how we can consider, and interpret, interactions between covariates from a geometric perspective, or in terms of maps of the effects in environmental space.

You may also be interested in a related video where Darryl described some important considerations when including continuous-valued predictor variables in an analysis.