Virtual Labs

a: Simple linear regression is used for modeling relationships between multiple independent variables and a dependent variable. b: Multiple linear regression requires datasets to be smaller than those needed for simple linear regression. c: Simple linear regression models the relationship between a single independent variable and a dependent variable. d: Multiple linear regression is a univariate technique that only predicts a single independent variable.

In which category does linear regression belong to?

a: Supervised learning b: Unsupervised learning c: Both supervised and unsupervised learning d: Neither supervised nor unsupervised learning

Linear regression is mainly used for:

a: Classification b: Clustering c: Prediction d: Reinforcement Learning

Which of the following scenarios is more suitable for applying linear regression?

a: Predicting whether an email is spam or not b: Classifying images of cats and dogs c: Estimating the sales of a company based on advertising spend d: Segmenting customers into different loyalty groups

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