5 Questions
What is the purpose of regression models?
Regression models are used to describe relationships between variables by fitting a line to the observed data.
What does multiple linear regression estimate?
Multiple linear regression is used to estimate the relationship between two or more independent variables and one dependent variable.
What are the assumptions of multiple linear regression?
The assumptions of multiple linear regression are homogeneity of variance (homoscedasticity) and independence of observations.
What does homogeneity of variance refer to?
Homogeneity of variance refers to the size of the error in our prediction not changing significantly across the values of the independent variable.
What does independence of observations mean?
Independence of observations means that the observations in the dataset were collected using statistically valid sampling methods, and there are no hidden relationships among variables.
Test your knowledge on multiple linear regression with this quick guide quiz! Learn about fitting lines to observed data, estimating relationships between variables, and more. Perfect for those looking to enhance their understanding of regression models.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
