Your client thinks that both linear discriminant analysis (LDA) and linear regression (LR) are the same but you disagree and want to provide clear, logical arguments to explain IMPORTANT differences between the two techniques. What is the most compelling argument would you give to help your client in this situation? Question 3 Select one: a. LR is used for a regression problem, whereas LDA is used for a classification SSB/SSW (SSB: Between sum of square, SSW: Within sum of square) b. I agree with the client that LR and LDA are the same c. LR is a dependence multivariate method vs LDA is interdependence multivariate method d. LR is a supervised ML technique but LDA is an unsupervised ML technique e. With some restrictions on parameters, LR can be reduced to logistic regression but LDA cannot be reduced to logistic regression