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Independent Variables
Independent variables are variables in a study or experiment that are manipulated or categorized to observe their effect on dependent variables, without being affected by other variables in the study.
Collinearity
Collinearity is a condition in statistical modeling where two or more predictor variables are closely linearly related, potentially affecting the model's estimates and interpretations.
F-test
A statistical test used to compare the variances of two populations to assess the equality of their means.
Multicollinearity
A statistical phenomenon in which multiple independent variables in a regression model are highly correlated, potentially undermining the statistical validity of the model.
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