Linear regression is a statistical method used to model the relationship between two variables by fitting a straight line through their scatterplot. It allows us to make predictions based on this line.
Slope: The steepness of the line in linear regression, representing how much one variable changes when the other variable changes by one unit.
Residuals: The differences between observed values and predicted values in linear regression.
Correlation Coefficient (r): A measure of the strength and direction of the linear relationship between two variables.
AP Statistics - 2.5 Correlation
Study guides for the entire semester
200k practice questions
Glossary of 50k key terms - memorize important vocab
About Fiveable
Blog
Careers
Code of Conduct
Terms of Use
Privacy Policy
CCPA Privacy Policy
Cram Mode
AP Score Calculators
Study Guides
Practice Quizzes
Glossary
Cram Events
Merch Shop
Crisis Text Line
Help Center
About Fiveable
Blog
Careers
Code of Conduct
Terms of Use
Privacy Policy
CCPA Privacy Policy
Cram Mode
AP Score Calculators
Study Guides
Practice Quizzes
Glossary
Cram Events
Merch Shop
Crisis Text Line
Help Center
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.