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At the end of a brainstorming session,participants are often asked to:
Multicollinearity
A situation in regression analysis in which predictor variables are highly correlated, making it difficult to isolate the individual effects of the predictors.
Correlation Matrix
A table showing the correlation coefficients between several variables, which can indicate the strength and direction of the relationship between pairs of variables.
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.
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