Machine Learning 101 Practice Test: Multivariate Linear Regression — Flashcards

Quiz on multivariate linear regression, gradient descent for multiple variables, and polynomial regression.

Multivariate is a controlled or supervised Machine Learning algorithm that analyses multiple data variables. It is a continuation of multiple regression that involves one dependent variable and many independent variables. The output is predicted based on the number of independent variables.
Multivariate Multiple Regression is a method of modeling multiple responses, or dependent variables, with a single set of predictor variables. For example, we might want to model both math and reading SAT scores as a function of gender, race, parent income, and so forth.
Multiple linear regression should be used when multiple independent variables determine the outcome of a single dependent variable. This is often the case when forecasting more complex relationships.
 

Related Test: Machine Learning 101 Practice Test: Linear Regression