________ 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 algorithmsI 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

________ is a simple approach to supervised learning. It assumes that

1.	________ 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 algorithmsI 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» 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.

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