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Color,intensity,and size differences are methods of highlighting.
Multicollinearity
A situation in regression analysis where two or more predictor variables are highly correlated, potentially undermining the statistical validity of the analysis.
High Correlation
Indicates a strong statistical relationship between two variables, implying that changes in one variable are closely related to changes in another.
Independent Variables
Factors in a study or simulation that are intentionally altered to see how they impact the variables that depend on them.
Multicollinearity
A condition in multiple regression where one predictor variable in a model can be linearly predicted from the others with a substantial degree of accuracy.
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