Which of the following things can be accomplished with linear model?
(a) Flexibly fit complicated functions
(b) Uncover complex multivariate relationships
(c) Build accurate prediction models
(d) All of the mentioned
This question was addressed to me during a job interview.
My query is from Residual Variation and Multivariate topic in chapter Statistical Inference and Regression Models of Data Science