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

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.