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A patient came to the hospital because of a problem with anemia. She was given a blood transfusion, but the blood was mismatched, and she developed an anaphylactic reaction. Because this new problem was caused by her medical treatment, it is called:
Multicollinearity
A situation in statistics where two or more independent variables in a multiple regression analysis are closely related, potentially leading to skewed outcomes.
Regression Models
Statistical models used to estimate the relationships among variables, often used to predict a dependent variable based on one or more independent variables.
Collinearity
A statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, potentially leading to unreliable estimates of the coefficients.
Intercorrelation
A statistical correlation between two or more variables or sets of data.
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