"Note that the assumptions on the errors of the multiple linear regression model are not satisfied!For example, huge residuals clearly demand a robust fit (e.g. using MM-estimation as in "lmRob" of R package "robust", or…"
"Vincent, I see the two approaches of "learning from data" as complementary - in order to enable proper data-driven decision making!
That was the reason why I used on slide 30 John W. Tukey's quote "Neither exploratory nor…"
"There are two approaches to working with data: Data science, a bottom-up approach (from data to hypothesis); Statistics, a top-down approach (model-driven, from hypothesis to data). I disagree with this. I believe you can blend bottom-up and…"