In my grad stat classes, “Linear Regression” usually includes things like my example above—i.e. linear functions of the (potentially transformed) explanatory variables including higher order terms. Is this different from the how the term is widely used?
If you say W = XxX, then make a model that’s linear in W, it’s a linear model. If you use both X and XxX, I don’t think there was a definitive answer… until Wikipedia, of course. Which says no.
If you say W = XxX, then make a model that’s linear in W, it’s a linear model. If you use both X and XxX, I don’t think there was a definitive answer… until Wikipedia, of course. Which says no.
Er, what? It says yes.