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Residual Plots

Definition

Residual plots are graphical representations that show differences between observed and predicted values in a regression analysis. They help identify patterns or trends in these differences and assess whether assumptions of linear regression are met.

Related terms

Residuals: The differences between observed and predicted values in a regression analysis.

Linearity Assumption: The assumption that the relationship between independent and dependent variables is linear.

Homoscedasticity: The assumption that the variability of residuals is constant across all levels of the independent variable(s).

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AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.