Examlex
When referencing NAICS codes, marketers should know that:
Multicollinearity
Multicollinearity refers to the occurrence in statistical models where two or more predictor variables are highly correlated, making it difficult to distinguish their individual effects.
Parameter Estimates
Parameter estimates are values derived from statistical analysis that approximate the actual parameters of a population based on sample data.
Biased
A condition where a measure or estimate systematically deviates from the true value due to a flaw in the measurement or sampling process.
Multicollinearity
A statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, potentially distorting the model's estimations.
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