What is the basic idea of Multiple Linear Regression?

Options

  • A. It predicts a continuous dependent variable using two or more independent variables
  • B. It predicts a class using only one categorical feature
  • C. It is an unsupervised clustering algorithm
  • D. It does not use any independent variables
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. It predicts a continuous dependent variable using two or more independent variables

Detailed Explanation

Multiple Linear Regression extends simple linear regression by using two or more independent variables to predict a continuous dependent variable. For example, house price may be estimated using area, number of rooms, location-related variables, and age of the property.

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