Point out the wrong statement.
(a) The fraction of variance unexplained is an established concept in the context of linear regression
(b) “Explained variance” is routinely used in principal component analysis
(c) The general linear model extends simple linear regression (SLR) by adding terms linearly into the model
(d) None of the mentioned
This question was addressed to me in class test.
My query is from Residual Variation and Multivariate topic in chapter Statistical Inference and Regression Models of Data Science