Question

________ is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear. (a) Linear regression (b) Logistic regression (c) Gradient Descent (d) Greedy algorithms I have been asked this question in class test. This key question is from Linear Regression topic in section Commands, Packages, Visualizing Data and Linear Regression of R Programming Select the correct answer from above options

Answer 1

Right option is (a) Linear regression For explanation I would say: Linear regression is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear. linear regression is an incredibly powerful tool for analysing data.