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Multicollinearity
Multicollinearity occurs when two or more independent variables in a regression model are highly correlated, making it difficult to discern their individual effects on the dependent variable.
Regression Analysis
A statistical technique that models and examines the relationships between a dependent variable and one or more independent variables.
Correlations Matrix
A table showing the correlation coefficients between sets of variables, indicating how closely changes in one variable are associated with changes in another.
Predictor Variables
Variables in statistical models that are used to predict or explain changes in the outcome variable.
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